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Digital Environmental Reporting in Australia: Understanding
Citizen Participation and Environmental Governance
Adrian McClure
Research dep., Curtin University, Australia
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150500112
Received: 06 May 2026; Accepted: 21 May 2026; Published: 05 June 2026
ABSTRACT
Environmental apps and digital reporting tools are increasingly used to support environmental management in
Australia, yet research remains fragmented across citizen science, digital government, technology adoption and
environmental governance. This paper develops an integrated conceptual framework for digital environmental
reporting in Australia through a systematic narrative review of 86 sources. The framework is conceptual and has
not been empirically tested. It explains how four core constructs - digital tool characteristics, user behaviours,
institutional settings and environmental outcomes - may be associated with the effectiveness of citizen-generated
environmental reporting. The review identifies opportunities for improved monitoring coverage, transparency,
operational efficiency, rapid detection of environmental harms and adaptive management. It also identifies
challenges related to digital inequality, privacy, data governance, verification, institutional fragmentation, long-
term maintenance, power, politics and Indigenous data sovereignty. Six propositions are advanced to guide
future empirical research rather than to state causal findings. The paper contributes a governance-focused model
that extends technology acceptance and digital government frameworks by situating environmental reporting
within Australia's fragmented institutional context.
Keywords: environmental apps; digital reporting; citizen-generated data; environmental governance; digital
participation.
INTRODUCTION
Digital platforms serve as environmental management tools which operate throughout Australia during present
times. The collection of reports about coastal erosion and littering and smoke and invasive species and pollution
incidents happens through digital applications and online submission systems operated by local and state and
federal agencies. Public environmental governance requires public participation because digital tools now
support professional monitoring activities at increased levels. Research on digital participation demonstrates that
mobile applications enable monitoring programmes to reach more people when situations change rapidly or
when data needs regular updates (Fritz et al., 2019). The Australian environmental situation needs real-time
detection of environmental changes and continuous dataset updates because climate change and urbanization
and land use changes create urgent needs (Climate Council of Australia, 2021).
The results from environmental reporting tool implementation have shown no consistent pattern. Users maintain
their use of digital reporting apps from councils because these tools enable them to monitor their submission
progress and obtain instant responses (Wehn and Evers, 2020). The tools demonstrate unpredictable user
behaviour because users from different environmental groups interact at different levels. Research shows that
project visibility stands as the key factor which determines how well citizen scientists will respond to projects.
People file reports about flooding and vegetation damage and litter because these events are observable to them
yet they report ecological indicators less frequently because these require specialized knowledge (Robinson et
al., 2018). The inconsistent reporting patterns produce incomplete data that reduces the effectiveness of public
reporting for future planning purposes.
The governance system of Australia creates additional challenges for its operations. The federal government
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works together with state governments and local municipalities to share environmental duties through their
individual reporting systems for different areas. People need to move between different platforms based on the
particular issue and the appropriate authority that handles it. Users lose trust in digital reporting systems because
they do not understand which organisation will process their reports and how long the review process will take
(De Silva Lokuwaduge et al., 2022). When communication is unclear, digital reporting feels disconnected from
real outcomes. Yet some councils demonstrate that strong communication and transparent workflows can build
trust, suggesting that design choices shape user engagement as much as environmental interest itself (Local
Government Victoria, 2025).
Academic research in Australia has not fully caught up with this growth in digital tools. Much of the current
knowledge comes from work on citizen science, digital participation and public environmental engagement.
These fields highlight the value of citizen contributions to data collection but also note the risks associated with
uneven participation and the need for data verification (Golumbic, 2024). Research on technology adoption
points to factors such as institutional trust, perceived usefulness and ease of use as central to uptake, although
these models have mostly focused on commercial technologies rather than government environmental platforms
(Australian Government, Digital Transformation Agency, 2024). As a result, there is no established conceptual
framework that explains how environmental apps function across behavioural, technical and institutional
dimensions in Australia.
Existing work on citizen science frameworks, technology acceptance models (TAM/UTAUT), and digital
government frameworks offers partial insights but does not account for the fragmented institutional landscape
and specific governance needs of Australian environmental management. This paper addresses that gap by
developing an integrated framework that explains how technical design, user behaviours and institutional
settings jointly shape environmental management outcomes. This framework can assist policymakers,
practitioners and researchers who are designing or evaluating digital tools for environmental management.
The paper addresses three research questions:
RQ1: How are the design characteristics of environmental apps and digital reporting tools associated with user
participation and the production of citizen-generated environmental data in Australia?
RQ2: What institutional and governance conditions enable or constrain the effective integration of citizen-
generated digital reports into environmental monitoring, decision-making and policy in Australia?
RQ3: What opportunities and challenges do environmental apps create for equitable, trustworthy and effective
environmental governance?
The system operates at its best as a monitoring tool when users access it through designated interfaces while
administrative staff keeps the system properly supported. The analysis demands understanding of digital tool
interactions which enable better environmental data sharing and public participation in Australia. The following
section examines existing research to determine which academic fields provide essential knowledge about digital
reporting systems in environmental management.
LITERATURE REVIEW
Digital environmental governance
Digital environmental governance implements digital technology to improve environmental management
through data collection and decision support systems. The system operates with open structures which receive
data from institutional sources and public contributions instead of using previous expert-controlled systems.
Organisations achieve better responsiveness through digital governance systems because these systems deliver
fast information access and handle large data volumes that exceed traditional reporting systems (Kassen, 2022).
Environmental agencies achieve their objectives through web-based dashboards which enable mobile reporting
applications and automated monitoring systems.
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The integration of digital tools happens through the development of new public sector management approaches.
Environmental agencies must provide instant data while maintaining open information to build and protect
public trust. Digital systems meet public needs through their dual functionality which shows environmental data
and enables users to enter vital observation information (Haklay et al., 2021). Digital governance systems
introduce new difficulties to the management process. Organisations need to create verification systems and
obtain enough institutional resources to handle the large amount of citizen data they collect from citizens. Digital
systems lose their value when institutions fail to establish proper verification systems and sufficient funding
because public involvement decreases.
Digital governance systems allow public participation through active communication channels which
international examples show that agencies need to establish. European flood risk management programmes use
digital platforms which enable citizens to submit reports about flooding and drain blockages for immediate risk
evaluation (Llasat-Botija et al., 2025). The examples demonstrate the worth of digital governance systems but
their success depends on correct system design and continuous institutional backing.
Citizen science and public reporting systems
The field of citizen science produces large amounts of research data which enables digital environmental
reporting systems. The research investigates how volunteers collect data through their observations and species
identification and environmental measurement activities. Users can perform these operations by using digital
tools which provide basic interfaces that need minimal data entry and enhance system accessibility. Research
shows users perform better with basic interfaces that deliver immediate results from their actions (Bonney et al.,
2016).
Public reporting systems operate independently from citizen science programmes but show identical behavioural
responses. The success of these initiatives depends on people who decide to disclose their information to
institutions. People become more involved when they understand their work purpose and see direct value from
their efforts (Shinbrot et al., 2023). The digital platforms iNaturalist and eBird show how to grow participant
numbers through interfaces that users find easy to use and feedback systems.
Research studies in citizen science projects continue to study data quality issues which persist as a major
problem. The reliability of volunteer-submitted reports depends on validation procedures that verify their
accuracy (Kosmala et al., 2016). The work of biodiversity surveys needs specialized skills which differ from the
abilities of people who report litter and storm damage. The value of citizen-generated data for planning and
monitoring purposes depends on the particular environmental problem under study and the established data
quality requirements.
Behavioural factors shaping the use of digital tools
Users adopt environmental apps at higher rates because these applications follow the natural behaviour patterns
of their users. Users determine their app download decisions and their ability to operate the app and their long-
term usage of the application. Research on digital participation shows users will participate more when tasks
stay simple to finish and they get instant feedback without paying any fees (Mehrabadi et al., 2021). The
behaviour of people depends on their environmental interest and their perception of relevance and the social
norms they follow. People will take part in digital reporting more actively when they understand how their
actions protect their cherished local communities.
Trust functions as a primary element which affects human behaviour. Residents who doubt the evaluation
process of reports and response actions tend to reduce their participation levels. Public administration research
indicates that organisations which demonstrate their work through follow-up messages and status updates build
trust with citizens who maintain their participation (Ardanaz et al., 2023). The system loses user confidence
because users must wait longer for their reports and because they find it difficult to understand the procedures.
Users who possess higher digital competence levels will find it easier to adopt new technology. Users who show
expertise in mobile device operation will get better results from reporting tools. The reporting system requires
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additional support to help users who lack digital skills and users who belong to the senior age group. The
behavioural elements demonstrate that reporting systems need to create simple interfaces which reduce mental
effort during the reporting process.
Technology adoption and trust in public systems
The technology adoption literature offers vital models which describe why users select to use digital reporting
tools. The Unified Theory of Acceptance and Use of Technology (UTAUT) demonstrates that users select
systems through four essential elements which consist of perceived usefulness and ease of use and social
influences and system support (Venkatesh et al., 2003). The evaluation process users follow before using new
systems includes all the constructs which exist in commercial environments.
The success of new system implementation depends on existing public institution trust levels. Users determine
their willingness to use digital systems through their perceptions about data protection and privacy and their
assessment of government institution capabilities. People choose to avoid government apps because they remain
uncertain about what happens to their personal information after they submit it (McKnight et al., 2002).
Organisations which demonstrate their data management procedures create protected environments for users to
feel secure. Users can feel secure about their information when organisations explain their data storage methods
and access controls and their intended use of the data.
People form their trust levels toward public institutions through their previous interactions with these
organisations. People who witness government agencies show inconsistent responses and fail to environmental
reporting cases will likely doubt the reliability of digital systems. New technology implementation needs to
operate within existing rules which govern present governance systems.
Lessons from Australian environmental information programmes
The Australian environmental programmes show how digital tools impact public reporting through their
adoption of digital reporting systems. Multiple states across Australia have developed mobile applications which
enable users to monitor coastlines and report waste and observe wildlife and receive hazard alerts. The
programmes show that tool adoption increases when residents discover how to apply these tools for their
everyday requirements. The NSW Marine Debris Tracker and ACT’s FixMyStreet system show that users stay
engaged through simple interfaces which work with straightforward follow-up systems (Access Canberra, n.d.;
Department of Planning and Environment, 2023).
State digital service assessments demonstrate that agencies need to work together for successful implementation.
The multiple platforms available to citizens create difficulties because they must choose between different
platforms and determine which organisation will process their reports. Research conducted on Australian digital
public services shows that citizens trust digital services better when they understand data management processes
and when they receive regular updates (Alarabiat et al., 2021).
Australian data programmes also indicate that long-term maintenance is essential. Some tools have lost relevance
because agencies reduced support or discontinued updates. When this occurs, residents question the reliability
of digital reporting systems as a whole. The lesson from these examples is that the value of digital tools depends
not only on initial design but on the capacity of agencies to maintain stable workflows, update technical systems
and communicate outcomes.
Methods and conceptual approach
Research design and justification
This study employs a systematic narrative review methodology to synthesize existing literature and develop a
conceptual framework for understanding environmental apps and digital reporting tools in Australian
environmental management. The narrative review approach was selected because the research objectives require
interpretive synthesis across multiple disciplinary domains environmental governance, citizen science, digital
public services, technology adoption, and public administration rather than quantitative aggregation of
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homogeneous empirical studies. This methodology is particularly appropriate when addressing complex,
multifaceted phenomena where diverse theoretical perspectives must be integrated to generate new conceptual
insights
Unlike empirical studies that collect primary data, this research systematically analyses, synthesizes, and
reinterprets existing scholarly knowledge to construct an integrative conceptual framework. The research does
not collect new empirical data through surveys, interviews, or experimental methods. Instead, it employs
rigorous analytical procedures to extract, synthesize, and interpret findings from published literature, creating
theoretical propositions that can guide future empirical investigations and policy development.
The validity of this approach rests on transparent, systematic procedures for literature identification, selection,
quality assessment, and synthesis, which are detailed in the following sections.
Literature search strategy and data collection
Search protocol
A comprehensive, multi-stage literature search was conducted between 2024 and 2025 using systematic
procedures adapted from established narrative review protocols (Sukhera, 2022). The search strategy was
designed to maximize coverage while maintaining focus on the research questions.
Electronic database search: Five major academic databases were systematically searched: Scopus, Web of
Science, ProQuest Environmental Science Database, Google Scholar, and JSTOR. The search employed
Boolean operators to combine keywords across three conceptual domains:
Domain 1 (technology): "environmental app*" OR "digital reporting" OR "mobile environmental
monitoring" OR "civic technology" OR "environmental information system*" OR "digital platform*"
Domain 2 (governance/participation): "citizen science" OR "environmental governance" OR "digital
participation" OR "civic engagement" OR "public reporting" OR "citizen-generated data"
Domain 3 (context): "Australia" OR "environmental management" OR "environmental policy" OR "public
sector"
Search strings were adapted to each database's specific syntax and controlled vocabulary (e.g., MeSH terms,
subject headings). The search was limited to peer-reviewed journal articles, conference proceedings, government
reports, and policy documents published in English.
Inclusion and exclusion criteria
Inclusion criteria:
Publications addressing digital tools, mobile applications, or online platforms used for environmental
monitoring, reporting, or civic engagement
Studies examining technology adoption, user behaviour, or institutional integration in environmental or
public service contexts
Research providing theoretical frameworks, empirical findings, or policy analysis relevant to digital
environmental governance
Publications from 2015 to 2025 (with exceptions for foundational theoretical works)
Studies from any geographic context for theoretical insights; Australian-specific research prioritized for
contextual relevance
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Exclusion criteria:
Studies focused solely on professional scientific equipment without citizen participation components
Publications addressing environmental education apps without governance or reporting functions
Conference abstracts without full papers
Publications not available in English
Purely technical papers describing software architecture without governance or behavioural analysis
Search outcomes and selection process
The initial database search yielded 1,248 records. After removing duplicates (n=189), 1,059 titles and abstracts
were screened against inclusion criteria. This resulted in 235 potentially relevant publications for full-text
review.
Full-text assessment excluded 166 publications that did not meet inclusion criteria (reasons: wrong focus=78;
insufficient detail=41; non-peer-reviewed opinion pieces=32; language barriers=15). An additional 17
publications were identified through citation tracking and grey literature search.
The final corpus comprised 86 sources:
Peer-reviewed journal articles: 65
Government reports and policy documents: 12
Conference proceedings: 3
Technical reports and working papers: 6
The distribution reflects the emphasis on peer reviewed empirical research while incorporating relevant policy
documents and technical reports that inform Australian environmental governance contexts.
Figure 1 summarises database searching, screening, eligibility assessment, and final inclusion of studies in the
narrative synthesis.
Figure 1. PRISMA-style flow diagram of the literature search and study selection process.
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Analytical procedures and synthesis techniques
Thematic synthesis approach
The analysis followed a systematic three-stage thematic synthesis method (Popay et al., 2006; Thomas &
Harden, 2008):
Stage 1: Initial coding of findings. Each source was reviewed to identify relevant findings, which were
coded using NVivo 14 software. Codes captured specific concepts such as "usability barriers," "trust in
government," "privacy concerns," and "feedback mechanisms." This generated 127 codes across the
reviewed corpus. To ensure reliability, a second reviewer independently coded 20% of sources, achieving
84% agreement.
Stage 2: Grouping into descriptive themes. Related codes were grouped into broader themes through constant
comparison. For example, codes like "ease of use," "interface design," and "navigation simplicity" were grouped
under "usability characteristics." This produced 23 descriptive themes organised under four domains: technology
characteristics, user dynamics, institutional context, and outcome dimensions.
Stage 3: Developing analytical constructs. Descriptive themes were abstracted into four core constructs that
form the framework: digital tool characteristics, user behaviours, institutional settings, and environmental
outcomes. Relationships between constructs were identified by analysing how sources described causal
mechanisms, barriers, and interactions.
Framework Development Process
The framework was developed through five iterative phases:
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1. Theoretical foundation mapping: Existing theories (TAM, UTAUT, OECD Digital Government
Framework) were mapped to structure the findings.
2. Construct specification: Each construct was defined with clear boundaries and sub-dimensions based on
converging evidence.
3. Relationship specification: Connections between constructs were identified where at least five sources
provided supporting evidence.
4. Proposition derivation: Six testable propositions were formulated linking constructs to predicted
outcomes-three addressing opportunities and three addressing challenges.
5. Validation: The framework was tested against Australian cases (e.g., NSW Marine Debris Tracker), and
refined where inconsistencies emerged.
Conceptual framework and propositions
This section develops a conceptual framework for examining how environmental apps and digital reporting tools
may contribute to environmental management outcomes in Australia. The framework links four core constructs:
digital tool characteristics, user behaviours, institutional settings and environmental outcomes. These elements
reflect current knowledge in digital government, environmental governance, citizen-generated data and mobile
environmental applications. The aim is to provide a structured foundation for future empirical studies and policy
analysis. The framework has not been empirically tested in this paper.
Rationale for a conceptual framework
Digital environmental reporting tools have emerged across many jurisdictions, yet research on their governance,
behavioural foundations and institutional integration remains fragmented. Recent analyses of citizen-generated
environmental data highlight that digital participation can improve monitoring, but the value of such data
depends on clear frameworks that define roles, quality criteria and integration pathways (Berti Suman, 2020).
Without this structure, citizen reporting remains isolated from mainstream environmental management systems.
Environmental science has also moved toward distributed data collection, with citizen observatories and mobile
sensing technologies increasingly used for biodiversity, pollution and risk monitoring (Woods et al., 2022).
These projects emphasise that the value of digital contributions depends on the way design, participation and
institutional systems interact. However, most studies focus either on the technology or the participants, without
explaining how these factors combine to influence management decisions.
Digital government research adds another dimension. Analyses across OECD countries show that trust, coherent
data governance and user-centred design are critical for citizen engagement in public digital services (OECD,
2020). Environmental apps share the same requirements, yet they also carry specific constraints relating to data
accuracy, environmental risks and inter-agency coordination.
A conceptual framework is needed because environmental apps operate within overlapping technological,
behavioural and institutional systems. By linking these domains, the framework helps identify the mechanisms
that influence whether digital reporting contributes meaningfully to environmental outcomes in Australia. The
next subsections describe each construct in detail before outlining the relationships and propositions that follow
from the framework.
Key constructs
Digital tool characteristics
Digital tool characteristics refer to the user-friendly functional, motivational and technical features of
environmental apps. This construct focuses on what users directly experience and interact with in the app
interface.
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Usability plays a central role. Recent studies of green information technologies show that perceived ease of use,
low cognitive effort and intuitive design significantly influence technology uptake in environmental contexts
(Ajina et al., 2024). Environmental apps that require minimal steps for reporting or provide clear visual cues can
lower barriers to participation.
Motivational features also influence engagement. Systematic reviews of gamified sustainability apps note that
features such as progress tracking, feedback and social interaction can enhance engagement, although their long-
term impact depends on whether they support deeper motivations like environmental identity or learning (Miao
et al., 2022). The design elements show how digital tools generate particular interaction methods which users
use to handle environmental data.
User facing privacy features represent another critical element. Users require visible privacy controls, accessible
consent procedures and clear explanations of how their data will be used. Mobile sensing platforms experience
decreased user trust and participation when privacy features are poorly designed or inadequately communicated
(Mustafa et al., 2025). The app's interface for privacy management such as consent flows, data access settings
and transparency dashboards directly influences user comfort and adoption.
Feedback mechanisms complete the core tool characteristics. The provision of immediate and meaningful
feedback in citizen science platforms leads to better participant retention (Woods et al., 2022). Apps that show
users submission confirmations, report status updates and outcomes help sustain engagement and build
confidence in the reporting process.
User behaviours
User behaviours consist of the motivations, perceptions and actions that determine how people adopt and
maintain usage of environmental reporting tools.
Environmental motivation drives initial adoption. Research on digital pro-environmental behaviour shows that
users who demonstrate environmental concern and believe their actions produce meaningful results will actively
use eco-apps (Toșa et al., 2024). Users will actively report more when they understand that their actions
contribute to environmental benefits.
Trust in the system fundamentally shapes ongoing behaviour. People reveal more environmental information to
others based on their level of trust in agency response actions. Users tend to submit data more frequently when
authorities deliver clear results and respond quickly according to research on civic reporting applications
(Szedmák et al., 2025). The trust users have in the app depends on institutional operations which create a sense
of reliability during the reporting process.
User behaviour depends on their digital skills which determine their actions. The combination of low digital
skills and limited access to technology creates obstacles for residents who live in distant areas and senior citizens.
The research by Thomas et al. (2023) demonstrates that Australian digital inclusion remains uneven because
residents who live outside cities encounter major obstacles. The patterns show how users use environmental
reporting systems through their technical abilities and their level of interest in the system.
Institutional settings
Institutional settings encompass the governance structures, policies, legal frameworks and organisational
capacities that shape how digital environmental reporting operates. This construct has been refined to focus
specifically on the regulatory and organisational environment rather than app features.
The OECD Digital Government Policy Framework shows that digital government initiatives need institutional
coordination to succeed through data governance and defined responsibilities and open communication channels
(OECD, 2020). Environmental apps require similar foundations but face added complexity because
environmental responsibilities in Australia are distributed across multiple jurisdictions.
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The legitimacy of citizen-generated environmental data depends partly on legal and policy structures. Recent
work shows that unclear mandates for using citizen data in environmental monitoring can limit its integration
into formal decision-making processes (Berti-Suman et al., 2020). Legislative provisions that formally recognise
citizen-generated data, establish quality thresholds and define agency obligations create the institutional
foundation for effective digital reporting (Bernardo et al., 2024).
Organisational capacity and resources also determine implementation effectiveness. Agencies vary in their
capacity to process and verify submissions, creating inconsistent experiences for users. This includes technical
infrastructure for data integration, trained staff for verification and response, and budget allocations for system
maintenance (Hauashdh et al., 2024). Without adequate institutional capacity, even well-designed tools fail to
produce environmental outcomes.
Institutional culture matters as well. Case studies of environmental digitalisation in public agencies demonstrate
that open communication, clear workflows and investment in maintenance improve the long-term performance
of digital tools (Issah et al., 2024). Institutional cultures that value citizen input, prioritise transparency and
support cross-agency collaboration strengthen the entire reporting ecosystem.
Environmental outcomes
Environmental outcomes describe the final impact of digital reporting on environmental management. These
outcomes operate at three levels.
The first is informational. The combination of verification systems with citizen-generated data allows
environmental monitoring to expand its reach into new locations and time periods (Woods et al., 2022). The
detection system of apps enable early detection of environmental issues such as pollution events, invasive species
or habitat degradation before scheduled patrols and monitoring systems become active. This spatial and temporal
expansion of monitoring coverage represents a fundamental informational gain.
The second is managerial. Digital report integration into agency workflows enables better resource management
and faster responses to new environmental problems with more targeted interventions based on real-time citizen
data. Research on digital environmental documentation reveals that digital systems enhance both speed and
precision in environmental operations (Körner et al., 2025).
The third is behavioural. Environmental reporting tools help people change their behaviour through better
understanding of local environmental problems and by supporting environmental protection and strengthening
social connections for environmental defense (Mosca et al., 2024; Hajj-Hassan et al., 2024). The reported
behavioural changes help achieve environmental targets which extend past the basic purpose of reporting.
Proposed relationships between constructs
The conceptual framework proposes that digital tool characteristics influence user behaviours, which in turn
shape environmental outcomes. Institutional settings moderate each of these relationships.
First, digital tools are proposed to affect user behaviour. Usability, motivational features and transparent data
governance may be associated with whether people engage with environmental reporting apps and whether they
continue using them (Ajina, 2024; Boncu et al., 2022). When tools reduce cognitive effort and provide
meaningful feedback, users may be more willing to participate. This relationship is expected to operate through
perceived ease of use, trust in data handling and reinforcement through feedback.
Second, user behaviour is proposed to contribute to environmental outcomes. Higher engagement may produce
richer datasets, while strong trust may encourage accurate and frequent reporting. Civic technology research
suggests that engagement can be reinforced when users see that their contributions are acknowledged and used
(Fraisl et al., 2022). Greater reporting volume, diversity and quality may improve informational coverage, enable
faster managerial responses and support behavioural change among participants, provided that validation
systems are in place.
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Third, institutional conditions are expected to affect how effectively user input is translated into environmental
action. Agencies with coherent data policies, adequate staffing and interoperable systems are better placed to
respond to reports and integrate them into planning, while fragmented arrangements weaken this pathway
(Woods et al., 2022). Strong institutional settings may amplify the positive effects of good tool design and active
user participation; weak institutional settings may undermine even well-designed tools and motivated users
(OECD, 2020).
Together, these relationships suggest that environmental apps are most likely to produce meaningful impacts
when design, behaviour and institutional support align. Figure 2 summarises the proposed relationships between
digital tool characteristics, user behaviours, institutional settings and environmental outcomes.
Figure 2 Conceptual framework for environmental apps and digital reporting in Australian environmental
management
Propositions on opportunities
Direct relationship propositions
The framework yields six testable propositions. The first three specify direct relationships between constructs,
while the latter three identify critical constraints that moderate these relationships.
P1. (Digital tool characteristics → User behaviours): Environmental apps with high usability, clear feedback
mechanisms, and motivating elements are expected to create enduring involvement from various Australian
communities. Evidence supports that design and motivation influence continued engagement (Boncu et al.,
2022). This proposition predicts that improvements in tool characteristics directly increase user engagement
duration and reporting volume.
P2. (Institutional settings → User behaviours): Transparent and timely institutional responses to digital reports
will increase user trust and strengthen participation in environmental governance. Studies show that perceived
responsiveness reinforces trust in public systems (Mo & Beh, 2025). This proposition suggests that institutional
responsiveness moderates the relationship between tool use and sustained participation.
P3. (User behaviours → Environmental outcomes): Greater volume and diversity of citizen-generated
environmental reports will improve spatial and temporal coverage of environmental monitoring and support
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more targeted interventions, conditional on appropriate validation procedures. Environmental observatory
research demonstrates that citizen contributions can fill monitoring gaps when properly validated (Woods et al.,
2022). This proposition predicts that increased user engagement translates into informational and managerial
environmental gains when institutional validation systems function effectively.
Constraint and moderation propositions
P4. (Privacy and data governance constraints): Without strong privacy protections and clear data governance,
environmental apps will face public resistance and limited adoption. Mobile sensing studies consistently show
that data security concerns reduce participation (Mustafa et al., 2025). This proposition identifies a critical
constraint: inadequate privacy design undermines user trust and adoption regardless of other tool features.
P5. (Digital inequality and reporting bias): Uneven digital capability and access across Australia will create
reporting biases that disadvantage certain communities and limit the representativeness of citizen-generated
environmental data. Digital inclusion research confirms uneven participation across regions and age groups
(Thomas et al., 2024). This proposition highlights how user characteristics moderate the effectiveness of tool
design, creating systematic gaps in data coverage.
P6. (Institutional fragmentation): Fragmented institutional mandates and separate reporting systems will limit
the influence of citizen-generated data on environmental decision-making by preventing data integration and
reducing agency capacity to respond effectively. Environmental digitalisation studies highlight fragmentation as
a barrier to effective integration (Howard et al., 2022; Lush et al., 2024). This proposition specifies how weak
institutional settings moderate the behaviour outcome pathway, diminishing the environmental impact of user
participation.
Together, these six propositions provide an empirically testable structure for understanding when and how
environmental apps may contribute to environmental governance outcomes in Australia.
Operationalisation for future empirical testing
For the framework to support empirical research, each construct should be translated into measurable indicators.
Digital tool characteristics can be assessed through usability scores such as the System Usability Scale, task
completion time, number of steps required to submit a report, availability of privacy controls and presence of
feedback functions. User behaviours can be measured through reporting frequency, repeat use, submission
completeness, retention, perceived usefulness, environmental motivation and trust in agency response.
Institutional settings can be examined through time to acknowledgement, time to resolution, staffing capacity,
inter-agency referral processes, data-sharing arrangements and the existence of formal validation procedures.
Environmental outcomes can be assessed through changes in monitoring coverage, detection speed, verified
incident resolution, resource allocation and evidence of policy or operational changes linked to citizen-generated
reports.
Future empirical studies should also account for confounding variables that may independently affect reporting
behaviour and environmental outcomes. These include socio-economic status, age, digital access, geographic
remoteness, education, language, seasonality, issue visibility, political salience, environmental risk exposure and
prior trust in government agencies. Accounting for these variables would reduce the risk of overstating the effect
of app design or institutional responsiveness.
Comparison with existing frameworks
The proposed framework draws from technology acceptance, digital government and citizen science research,
but differs from existing models by integrating tool design, user behaviour, institutional capacity and
environmental outcomes within a single governance-focused structure. Table 2 summarises the main
distinctions.
Framework
Primary focus
Main contribution
Limitation addressed by this paper
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Technology
Acceptance Model
(TAM)
Individual
technology
adoption
Explains perceived
usefulness and ease
of use
Does not explain institutional response,
data governance or environmental
outcomes
Unified Theory of
Acceptance and Use
of Technology
(UTAUT)
Technology
acceptance and
behavioural
intention
Adds social influence
and facilitating
conditions
Treats institutional context mainly as
adoption support, not as a governance
pathway
OECD Digital
Government
Framework
Public-sector
digital
transformation
Emphasises data
governance, user-
centred services and
coordination
Does not focus specifically on citizen-
generated environmental reporting
Proposed framework
Digital
environmental
reporting in
Australia
Integrates tools,
users, institutions and
outcomes in a
fragmented
environmental
governance context
Provides a testable model tailored to
environmental reporting and citizen-
generated data
DISCUSSION
This section interprets the conceptual framework and propositions developed in Section 3 through the lens of
empirical evidence and practical applications. The discussion is organised into three parts: opportunities
emerging from environmental apps (Sections 4.1-4.6), challenges associated with environmental apps (Section
4.7.), and policy implications (Section 4.8.).
Throughout, we explicitly link findings to the framework's constructs and propositions, demonstrating how the
theoretical relationships manifest in practice and comparing our framework with existing models.
Opportunities emerging from environmental apps
The Australian government has various chances to improve environmental management through digital
applications and automated reporting platforms. Digital reporting systems become more effective when agencies
create user-friendly tools that work seamlessly with current operational procedures to enhance monitoring
capabilities and build stronger community ties and decrease operational expenses and speed up environmental
issue identification and support adaptive management practices. Research indicates that digital environmental
systems will achieve their intended benefits for governance and environmental outcomes.
Improved environmental monitoring
Digital reporting tools enable environmental monitoring to reach more areas through their ability to gather data
from numerous participants spread across different locations. The research by Heydari-Gharaei et al. (2025)
shows that mobile environmental sensing technology helps agencies collect precise location information which
standard collection methods cannot achieve. The environmental data collected from residents provides agencies
with additional information which they can use to enhance their official monitoring systems.
Environmental data collected using smartphones typically includes photographs and latitude/longitude
coordinates and a timestamp. These features enhance the value of publicly generated reports because they can
be independently verified and allow agencies to map problem areas over time. A review of mobile ecological
citizen science apps found that public reports can detect hyper-localised problems earlier than planned inspection
regimes, particularly in peri-urban and regional localities (Davison et al., 2025). Given Australia's extensive
coastlines, large regional catchments and diverse ecosystems, additional data points provided by residents can
bolster monitoring systems and enable more granular assessments. These findings directly support Proposition
3, which predicts that greater volume and diversity of citizen-generated reports improve spatial and temporal
coverage of environmental monitoring.
Digital reporting can also facilitate ongoing monitoring. Repeated reports from the same area over time can
provide a time-series dataset that can reveal seasonal patterns or chronic issues. Platforms that enable residents
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to view their own past reports tend to see ongoing participation, which can further increase the density of
monitoring. The cyclical relationship between feedback and continued participation demonstrates how tool
design (P1) and environmental outcomes (P3) are connected through sustained user behaviour. These monitoring
improvements align with findings from citizen observatory research (Woods et al., 2022) but extend that work
by specifying the precise tool characteristics timestamped geotagged data, verification features, feedback loops
that enable informational gains.
Greater transparency and community engagement
Users gain transparency through environmental apps because these apps show how agencies handle
environmental issues and their established reporting procedures. Research on digital public services shows that
interactive tools help build trust when agencies provide fast information access and demonstrate their work
through evidence (Asmawanti-S et al., 2025). Environmental reporting tools show status updates and estimated
response times and documented resolutions which help residents monitor their impact on agency operations.
This transparency mechanism directly reflects Proposition 2: transparent and timely institutional responses
strengthen user trust and increase reporting frequency. The institutional characteristic of responsiveness
moderates the tool behaviour relationship. This finding extends the Technology Acceptance Model (TAM) and
UTAUT frameworks commonly applied to e-government adoption. While TAM emphasizes perceived
usefulness and ease of use, our framework adds institutional responsiveness as a critical moderating factor
specific to environmental governance contexts. Citizens do not just evaluate the app itself; they evaluate the
institutional ecosystem in which it operates.
Users have the ability to develop new interaction approaches by using digital technology. Research in
environmental communication shows that people will take part in local environmental projects at higher rates
when they receive feedback and can track community patterns through integrated reports (Ghauri et al., 2022).
Environmental apps show trend information about illegal dumping hotspots and recurring vegetation damage
areas which help residents understand environmental issues in their local communities. The tools help public
agencies execute their stewardship responsibilities through collaborative efforts with stakeholders. These
engagement patterns demonstrate the behavioural outcomes, where active reporting fosters environmental
awareness and civic participation. This represents a positive feedback loop: tool use generates data, data
visualization increases awareness, and awareness sustains participation.
Environmental apps that combine educational content with their features help people in the community become
more involved with their activities. Users can discover environmental threats through apps which connect
environmental risk information to local ecosystem data and offer behavioural advice for environmental
protection activities. Mobile platforms deliver accessible environmental information which enhances community
knowledge about environmental matters according to digital environmental education research (Cho and Kim,
2022). These educational features represent motivational tool characteristics that support sustained user
engagement by connecting individual actions to meaningful environmental outcomes.
Cost efficiency for agencies
Organisations can reduce their expenses through environmental applications which minimize site inspection
needs and enhance operational coordination and specific intervention abilities. Public agencies can decrease their
need for field inspections through digital reporting systems for infrastructure and environmental management
because citizens submit reliable reports (Molobela, 2023). Staff members can concentrate on their essential
duties because optimized resource distribution enables them to do so. This operational efficiency represents the
managerial outcome dimension of our framework, where citizen-generated data enables better resource
allocation and faster response times.
Organisations achieve better operational efficiency through digital platforms which enable them to develop more
effective internal systems. The automatic reporting system eliminates administrative work by performing report
logging and categorization and assignment tasks which prevents duplicate work. The implementation of digital
workflows in local government environmental management systems enables organisations to decrease
paperwork and lower administrative expenses while enhancing their ability to track case resolution progress
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(David et al., 2023). However, these efficiency gains depend on institutional capacity adequate technical
infrastructure, trained staff, and interoperable systems. Without these institutional prerequisites, even high
quality citizen reports cannot be translated into managerial benefits. Environmental reporting tools which link
to internal databases and geographic information systems minimize the need for human intervention in data
processing.
Early problem detection helps organisations reduce their environmental remediation expenses. Organisations
can avoid costly future restoration expenses through their ability to detect environmental issues at their beginning
stages including pollution hotspots and soil erosion. Digital channels enable agencies to respond rapidly through
near real-time report submission which provides affordable solutions. This early detection capability
demonstrates how user engagement (high reporting frequency) produces informational outcomes (expanded
temporal coverage) that cascade into managerial outcomes (cost savings).
Environmental apps provide operational benefits to agencies which operate with restricted funding. Yet this
opportunity remains contingent on Proposition 2: agencies must respond transparently and timely to maintain
user trust and reporting volume. Cost efficiency is thus a product of both user behaviour and institutional
responsiveness.
Faster detection of environmental harms
Digital reporting tools enable quick environmental harm detection through their ability to create instant
communication channels between residents and agencies. The immediate submission of reports through mobile
technology enables users to report incidents such as illegal dumping and fish kills and storm damage right after
they happen. Research on digital hazard reporting indicates that community-based alerts which are sent early
enable agencies to respond quickly while reducing environmental harm (Haque et al., 2024; Paul et al., 2021).
This rapid detection demonstrates Proposition 3 in action: greater reporting volume and immediacy improve
temporal monitoring coverage and enable faster interventions.
The speed of detection depends on the system's operational features. Users can use apps to upload images along
with brief explanations which removes the requirement for first site inspections and enables agencies to manage
cases effectively. These usability features photo upload, simple text entry, one-tap submission represent the
digital tool characteristics that reduce cognitive effort and lower participation barriers (P1). The connection
between intuitive design and rapid reporting illustrates how tool characteristics shape user behaviour. Research
on environmental risk management shows organisations need to report incidents right away because severe
weather events require immediate response and distant locations lack sufficient monitoring capabilities
(Martinez-Osuna et al., 2025). Environmental apps function as information transfer systems which help users
share data quickly during critical situations that result from climate change. This climate adaptation function
extends beyond traditional citizen science models, positioning environmental apps not just as monitoring tools
but as critical infrastructure for climate resilience.
Users can detect recurring patterns in their data through digital platforms. Multiple reports from specific areas
help identify environmental warning signs which show that erosion and water pollution continue to be problems.
The analysis of patterns by agencies helps them stop problems from growing into major issues. This pattern
detection capability depends on institutional settings: agencies need analytical capacity and data integration
systems to identify trends across citizen reports. Without this institutional infrastructure, even abundant citizen
data cannot produce actionable intelligence.
Support for adaptive management
Environmental applications help adaptive management through their ability to generate data which supports
ongoing decision-making processes. The adaptive management process depends on ongoing assessment and
learning activities which result in changes to management strategies. The digital reporting system provides
agencies with ongoing data collection which helps them evaluate their interventions and create improved policies
and respond to environmental shifts. Research on adaptive governance demonstrates that digital participation
systems enable organisations to develop flexible management systems through quick feedback paths which learn
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from experience (Yulianto et al., 2025). This adaptive capacity represents an advanced environmental outcome
that emerges when all framework elements align: usable tools generate sustained participation, institutional
systems integrate data effectively, and agencies use feedback to refine management approaches. The adaptive
management function of environmental apps extends the OECD Digital Government Policy Framework, which
emphasizes data-driven decision-making but does not fully specify how citizen-generated data can inform policy
iteration. Our framework identifies the specific pathway: user behaviour (frequent reporting) generates outcomes
(informational coverage) that enable institutional learning, moderated by organisational capacity to process and
apply citizen data.
The collection of citizen data allows policymakers to create new policies through experimental testing of
innovative solutions. Digital reporting systems enable agencies to monitor public responses and environmental
effects of their new environmental restrictions and waste management and habitat protection initiatives
throughout the day. The system provides improved methods to evaluate the success rates of interventions. This
policy experimentation capability illustrates how environmental outcomes feed back into institutional settings,
creating an iterative improvement cycle not captured in linear models like TAM or UTAUT.
Organisations can use digital platforms to implement collaborative adaptive management which they access
through mobile applications. Digital platforms allow agencies to exchange information quickly while enabling
them to connect with communities for determining vital local needs. Digital co-management approaches lead to
better decisions which both society and the environment can support according to research findings (O’Donnell
et al., 2025). Environmental apps which enable ongoing reporting and communication help organisations
establish adaptive management practices as standard environmental practices.
In summary, these opportunities show how the framework's proposed relationships may operate in practice. Tool
characteristics (usability, feedback and transparency features) may support user behaviours (sustained reporting
and trust-building), which may contribute to environmental outcomes (monitoring expansion, managerial
efficiency and behavioural change), moderated by institutional settings (responsiveness, capacity and integration
systems). These findings support Propositions 1-3 as testable claims rather than validated empirical results.
Challenges associated with environmental apps
Environmental apps provide actual solutions to enhance environmental management in Australia but they create
multiple obstacles which impact user adoption rates and data accuracy and institutional operational effectiveness
and sustained authority. The obstacles stem from digital governance structural problems and user behaviour
limitations and operational barriers that affect agencies dedicated to environmental protection. Digital systems
need understanding of their present operational constraints to achieve sustainable environmental outcomes.
Uneven digital access and participation
The digital participation levels across Australia show major differences between different geographic locations.
The research conducted by Thomas et al. (2025) reveals that older adults together with low-income families and
people who live in remote areas face difficulties accessing digital technology and paying for it and learning its
operations. The technological requirements of environmental reporting apps do not match the abilities of all
community members. The submission process tends to concentrate on metropolitan and coastal areas because
these regions contain more participants yet rural areas continue to lack representation. The unequal collection of
data results in reporting biases which produce wrong environmental assessments and wrong resource distribution
decisions.
The digital literacy gap between different population groups creates a major obstacle which prevents people
from taking part. Users who want to use environmental apps need to perform tasks such as photo upload and
location service activation and prompt interpretation which become challenging for people with basic digital
skills. Research on mobile app usability demonstrates that simple interface obstacles create major obstacles for
users who lack digital confidence to participate (Lemos et al., 2024). The design of reporting tools which fails
to consider user differences will produce growing participation gaps between different user groups.
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The existing inequalities between different groups result in both reduced data quantity and reduced data
diversity. Environmental reports fail to provide specific data about particular population groups because they do
not contain information about Indigenous people and migrant communities and senior citizens. Organisations
need to develop particular outreach programmes and user-friendly systems and various reporting channels to
achieve equal participation.
Data quality and verification challenges
Environmental reporting apps produce ecological data of uneven quality that depends on user accuracy,
situational awareness and the performance of mobile devices and sensors (Balázs et al., 2021; Wesseling et al.,
2019). Recent work on ecological citizen science platforms that accept mobile and online submissions finds that
observations differ in precision and completeness, and that photographs help verification but do not remove all
errors, because some records are still misclassified, incomplete or lack contextual information (Kosmala et al.,
2016; Baker et al., 2021; MacPhail et al., 2020). These inconsistencies mean agencies need careful verification
workflows before they can integrate citizen-generated data into formal environmental monitoring and decision
making (Baker et al., 2021; Balázs et al., 2021).
The verification process helps decrease errors but it needs personnel to perform tasks and equipment to operate.
The process of verifying multiple reports becomes challenging for agencies because they need to manage high
report volumes which occur during severe weather events and when visitor numbers exceed their operational
limits. The system loses user trust when reports disappear without any system response according to Puiu &
Udriștoiu (2023) who studied digital citizen science platforms. The process of getting both exact results and fast
response times proves to be extremely difficult to achieve.
The quality of data becomes compromised because of spatial bias. People usually file reports about incidents
which occur in their residential areas and their professional spaces and their favourite recreational spots. The
reporting system generates multiple reports in established areas yet it does not detect incidents that occur in
remote locations. Environmental analyses that incorporate uncorrected citizen-generated data risk exaggerating
certain problems or overlooking others. Addressing these biases requires methodological adjustments and careful
interpretation.
Privacy, security and ethical concerns
Environmental apps collect sensitive information, including location traces, time-stamped photographs and, in
some cases, identifiable user details. Public confidence in these tools depends heavily on whether people feel
their data is secure. Studies on mobile and health-data apps show that higher privacy concerns and perceived
risk are linked to lower willingness to disclose personal information, even when users recognise collective
benefits of sharing (Atalay and Yücel, 2024).
Citizen-science and environmental monitoring research also shows that geo-located reports and photos can
expose volunteers to physical, economic or legal harms, especially when documenting corporate pollution or
other sensitive issues (Cooper et al., 2021; Hansen et al., 2021). Because of this, some people may avoid
reporting incidents such as pollution breaches, illegal dumping or wildlife crime if they fear re-identification,
retaliation or misuse of their data.
Ethical considerations extend beyond privacy. Environmental reporting sometimes involves photographing
people, private property or culturally sensitive locations. Without clear guidance, users may unintentionally
capture information that creates legal or ethical problems. Research on digital citizen science and community-
based environmental monitoring stresses the need for transparent consent processes and clear communication
about how images, locations and other data will be stored, shared and reused (Groot et al., 2022; Kloppenburg,
2022). The absence of clear assurances leads to decreased participant numbers and reduced trust levels.
Users in the present day worry about how applications maintain environmental information for long durations
before applying it for purposes that differ from their original declared functions. The data collected through
environmental apps ends up being used for purposes which differ from the original intended uses. Digital
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reporting systems become vulnerable to legitimacy risks because there are no established governance rules which
prevent unauthorized use of secondary data.
Fragmented institutional responsibilities
The environmental governance system in Australia operates through multiple levels of government which
include federal and state and territory and local authorities that maintain separate information systems and
execution powers. The current operational procedures of agencies face barriers when trying to implement digital
reporting systems because of different governance systems. The various agencies maintain separate applications
which operate independently from each other while dealing with multiple reporting systems and using different
data standards. The multiple institutions that participate in environmental digitalization create system reliability
problems which prevent jurisdictions from working together effectively (Johnson et al., 2021). The speed and
consistency of environmental incident responses decrease when digital tools function independently from each
other.
Agencies handle unclear reporting duties through two methods which include either dismissing received
submissions or by redirecting them to different departments. Users experience confusion and dissatisfaction
because of this situation. Research in public administration demonstrates that users lose trust and become less
active when they must navigate complex digital service pathways which extend between multiple institutions
(Pramuditha et al., 2024). Users will stop using environmental apps when they cannot confirm their information
reaches the correct authority even though the system design is excellent.
The independent operation of different institutions creates challenges for data integration processes. The absence
of interoperable systems makes it impossible for agencies to merge their data collections for pattern detection
and trend analysis between different locations. Digital reporting systems face strategic barriers because of data
integration problems which stop them from affecting environmental planning decisions.
Long-term maintenance and resource constraints
Environmental apps need ongoing technical assistance and scheduled system maintenance and continuous
tracking of user feedback reports. The public sector digital tools experience functional decline because their
software becomes outdated while organisations run out of resources and their priorities shift. Digital government
and e-government platforms maintain sustainability through government funding of new platform development
and existing system maintenance yet this method produces unstable service delivery (Abu Bakar et al., 2022).
The absence of software updates leads to interface deterioration and security vulnerabilities and system
compatibility breakdowns.
The agencies encounter multiple operational difficulties which impact their daily work operations. Staff
members face extreme workload pressure because natural disasters and wildfires create emergency situations
which result in a large number of reported incidents. The lack of resources at agencies makes it difficult to check
submitted information and respond to emergencies which leads to longer response times and decreased public
confidence. The reliability of digital tools for emergency communication suffers from insufficient staffing during
peak emergency periods according to Jamtli et al. (2024).
Digital reporting platforms need continuous user involvement to achieve sustainability (Bikowski L., 2025).
Users will abandon the system when agencies do not provide feedback or publish results or fail to meet their
requirements. User participation in the long-term needs both technical skills and communication effectiveness
to maintain its operation. Table 1 synthesises the main opportunities and challenges for environmental apps in
Australian environmental management and highlights practical implications for agencies.
Table 1. Opportunities and challenges for environmental apps in Australian environmental management.
Theme
Mechanism in practice
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Improved
environmental
monitoring
Apps broaden spatial and
temporal coverage of incident
reports and local observations
Greater transparency
and community
engagement
Apps provide visible channels
to report issues and see
responses
Cost efficiency for
agencies
Digital reporting can reduce
call centre load and manual
processing
Faster detection of
environmental harms
Real-time reports highlight
emerging problems earlier than
scheduled patrols
Support for adaptive
management
Longitudinal reporting data
reveals patterns and
intervention effects over time
Uneven digital access
and participation
Some communities have
limited connectivity or skills,
reducing their participation
Data quality and
verification
challenges
Reports vary in accuracy and
completeness
Privacy, security and
ethical concerns
Location, images and personal
details can create risks for
individuals and groups
Fragmented
institutional
responsibilities
Multiple agencies share
overlapping mandates for
environmental issues
Long-term
maintenance and
resource constraints
Platforms need ongoing
technical, communication and
staffing support
Policy implications
Environmental apps and digital reporting tools sit at the intersection of environmental governance, digital
government and citizen participation. For Australian policymakers, the key challenge is to move from scattered
pilots to a coherent policy environment that supports reliable, inclusive and trustworthy use of citizen-generated
environmental data. This section outlines five main policy directions: national coordination, data governance
and privacy, digital equality, interoperability, and responsive governance.
Strengthening national coordination
Citizen-generated environmental data is most useful when there is clarity about how it complements official data
and how public institutions will use it. Recent work for the European Commission shows that citizen-generated
data projects often struggle to influence policy because responsibilities and data standards are fragmented across
agencies (Ponti & Craglia, 2020).
Empirical research on the value of citizen-generated environmental data also emphasises that its contribution
depends on explicit design choices and integration strategies, not only on the volume of observations (Alfonso
et al., 2022; Borghys et al., 2024).
For Australia, this suggests a need for a national framework that sets expectations for how environmental
regulators at federal, state and local levels will incorporate app-based reports into monitoring, compliance and
planning.
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National coordination could include shared definitions of citizen-generated environmental data, standard
reporting categories and a common approach to validation. International experience shows that clear national
guidance on citizen data makes it easier for agencies to treat citizen reports as a regular input to policy processes
rather than as ad hoc information (Fraisl et al., 2023).
Improving data governance and privacy protections
Environmental apps depend on citizen trust in how data is handled. The OECD’s recent report on drivers of trust
in public institutions in Australia shows that perceptions of competence, integrity and openness are central to
whether people are willing to share information with government (OECD, 2025a).
Citizen-generated data studies echo this, arguing that data governance rules around ownership, access, quality
checks and reuse strongly influence both institutional uptake and participant confidence (Ponti & Craglia, 2020;
Alfonso et al., 2022).
Policy frameworks should therefore require environmental apps to provide clear, easy-to-read privacy
statements, explain what data is collected and how long it will be retained, and specify whether it will be shared
across agencies or with third parties. The literature on citizen-generated data stresses the importance of applying
FAIR principles (findable, accessible, interoperable, reusable) while also safeguarding participants’ rights and
safety (Lush et al., 2024).
Australian policymakers can also draw on broader open government data work. Recent analyses show that open
government data frameworks can promote transparency and green outcomes when they couple openness with
robust data governance and clear accountability for use (Lv et al., 2025; OECD, 2025b; Wang et al., 2025).
Environmental reporting policies should align with these principles so that citizen data serves public value
without exposing contributors to undue risk.
Addressing digital inequality
Digital reporting tools risk amplifying existing inequalities if they ignore uneven access to skills, devices and
connectivity. The Australian Digital Inclusion Index shows persistent gaps in access, affordability and digital
ability across regions and socio-economic groups (Thomas et al., 2023).
Work on Indigenous digital inclusion further highlights that many remote Aboriginal and Torres Strait Islander
communities face lower levels of connectivity and digital ability, which limits participation in digital initiatives
(National Indigenous Australians Agency, 2021; Guenther, 2025).
Digital inclusion is also uneven for recent migrants and refugees. Research on digital inclusion among newly
arrived refugees in Australia shows that limited digital skills and language barriers make it difficult to access
digital public services without targeted support (Baganz et al., 2024). More broadly, social policy scholars warn
that service delivery is increasingly dependent on digital access, with risks of exclusion if inequality is not
addressed (Sleep & Harris, 2021).
For environmental apps, this means policy should:
a. Require Accessible Design and Low-Data-Use Options
b. Mandate The Availability of Non-Digital Reporting Channels (Phone, In-Person, Postal)
c. Fund Local Intermediaries Such as Community Organisations, Libraries and Landcare Groups to Support
People Who Struggle with Digital Tools.
Embedding these requirements in environmental and digital government policies would help ensure that citizen-
generated environmental data reflects a wider cross-section of communities, not only digitally confident urban
residents.
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Ensuring interoperability and technical standards
Environmental apps only add policy value when their data can move across systems and levels of government.
Open government data research shows that standardised formats and APIs are critical for turning dispersed
datasets into usable resources for planning and environmental management (Peng & Xiao, 2024).
The OECD’s latest assessment of open government data similarly emphasises interoperability as a key
dimension of mature digital government (OECD, 2025b). Citizen-generated data work identifies lack of
standardisation and poor interoperability as major barriers to integrating citizen data into official systems.
For Australia, policy can address this by setting minimum technical standards for environmental reporting tools,
including geospatial formats, metadata requirements and exchange protocols with existing environmental
information systems.
Interoperability policies also need to cover long-term maintenance. Open data and digital infrastructure studies
show that systems decay when there is no clear responsibility or funding for updates and security. Environmental
agencies should be required to plan for lifecycle maintenance of reporting platforms, not just initial development,
with funding arrangements that recognise ongoing operational costs.
Supporting responsive and accountable governance
Finally, policy needs to ensure that environmental apps contribute to more responsive and accountable
governance, not simply to data accumulation. Research on trust in government finds that perceptions of
responsiveness and fairness strongly shape citizen trust levels (Mansoor, 2021). The lack of outcome visibility
from environmental reports submitted by residents will damage trust relationships instead of strengthening them.
Research on local SDG monitoring through citizen-generated data shows that organisations which show their
use of citizen feedback to contributors will maintain public trust and keep participants involved (Borghys et al.,
2024; Fraisl et al., 2023). The policy frameworks need to establish three essential requirements which agencies
must follow to protect public trust:
(1) The agencies need to receive all submitted reports while maintaining system updates about current progress
information.
(2) The system requires environmental report statistics to appear alongside detailed information about all
performed actions.
(3) The system needs proof which demonstrates how citizen data affects decision-making through particular
examples that demonstrate how collected data determines inspection priorities and local environmental
plan development.
The specifications need to show citizen involvement as a core element of environmental governance because
environmental reporting regulations and digital government strategies (Bikowski L., 2026) and performance
frameworks require them for implementation. The implementation of these measures would prove that citizen
participation stands as a core element of environmental governance.
Power, politics and Indigenous data sovereignty
Digital environmental reporting should not be treated as a neutral technical process. Reporting systems operate
within governance structures shaped by unequal access to resources, different political priorities and competing
interests over land, water, biodiversity and development. These conditions can affect which environmental issues
are reported, which reports receive attention and whose knowledge is recognised as legitimate.
Indigenous data sovereignty is especially important in environmental reporting. Digital tools may collect
information about Country, culturally significant places, species, water systems or land management practices.
Agencies should ensure that Aboriginal and Torres Strait Islander communities have meaningful control over
how such data are collected, stored, interpreted, shared and reused. This requires community consultation,
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culturally appropriate consent processes, clear restrictions on secondary use and governance arrangements that
respect Indigenous authority over environmental knowledge.
Power also matters in disputes involving pollution, illegal dumping, land clearing or development impacts.
Contributors may face reputational, legal, economic or physical risks when reporting sensitive environmental
harms. Reporting systems should therefore provide options for anonymous or protected submissions, clear
privacy safeguards and transparent escalation processes. These safeguards are necessary for trust, participation
and fair environmental governance.
Limitations
This study has several limitations. First, it is a conceptual review and does not include primary empirical data.
The proposed relationships therefore remain theoretical and require validation through future quantitative,
qualitative and mixed-method research. Second, although the literature search was systematic and transparent,
no review protocol was registered and no formal quality appraisal tool such as MMAT was applied to all included
studies. This limits claims about the strength of evidence across the reviewed corpus.
Third, the framework identifies broad relationships between tool characteristics, user behaviours, institutional
settings and environmental outcomes, but it does not test causality. The propositions should therefore be read as
research directions, not empirical findings. Fourth, several contextual variables may affect both reporting
behaviour and environmental outcomes, including socio-economic status, digital inclusion, political salience,
geographic remoteness, seasonality, environmental risk exposure and prior trust in government. Future studies
should measure and control for these factors.
Fifth, the framework is designed for the Australian environmental governance context. Its relevance in other
countries will depend on institutional arrangements, legal mandates, public trust and digital inclusion conditions.
Finally, the review relies on published literature and policy documents, which may underrepresent community
knowledge, Indigenous perspectives and operational lessons held by practitioners.
CONCLUSION
This paper addressed the need for a conceptual framework to examine how environmental apps and digital
reporting tools may contribute to environmental management outcomes in Australia. Despite the growth of these
tools across jurisdictions, research has remained fragmented, often focusing either on technology design or user
participation without explaining how these elements interact with institutional systems.
The conceptual framework developed here makes three contributions. First, it identifies four core constructs -
digital tool characteristics, user behaviours, institutional settings and environmental outcomes - and specifies
proposed relationships between them. This structure clarifies that digital reporting is not merely a technical
function but a governance system requiring alignment between design, behaviour and institutional capacity.
Second, the framework distinguishes environmental outcomes into informational, managerial and behavioural
dimensions, providing a more detailed understanding of possible impact pathways than technology adoption
models alone. Third, it treats institutional settings as a moderating force rather than a background condition,
showing how legal mandates, organisational capacity and data governance frameworks may affect whether
citizen contributions are translated into environmental action.
The framework identifies significant opportunities: environmental apps may expand monitoring coverage,
accelerate harm detection, reduce operational costs, enhance transparency and support adaptive management.
These benefits are constrained by digital inequality, privacy risks, unclear data governance, fragmented
institutional mandates, maintenance demands and unresolved questions of power, politics and Indigenous data
sovereignty.
Future research should empirically test the six propositions through multi-method investigations. Comparative
case studies across Australian states can examine how institutional settings moderate the tool-behaviour-
outcome pathways. Longitudinal user studies can identify which design features sustain reporting across diverse
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communities. Methodological work on data validation, bias correction and integration pipelines remains
essential for ensuring that citizen-generated data meets quality standards for formal decision-making.
Policymakers should prioritise interoperable data standards, transparent response protocols, digital inclusion
strategies and culturally appropriate data governance. As Australia advances data-driven participatory
environmental management, this framework provides theoretical guidance for researchers and practical direction
for sustainable deployment.
REFERENCES
1. Access Canberra. (n.d.). Fix My Street. https://www.accesscanberra.act.gov.au/city-services/fix-my-
street
2. Abu Bakar, H., Razali, R., & Jambari, D. I. (2022). A qualitative study of legacy systems
modernisation for citizen-centric digital government. Sustainability, 14(17), 10951.
https://doi.org/10.3390/su141710951
3. Ajina, A. S., Islam, D. M. Z., Zamil, A. M. A., & Khan, K. (2024). Understanding green IT adoption:
TAM and dual-lens of innovation resistance. Cogent Business & Management, 11(1), Article
2403646. https://doi.org/10.1080/23311975.2024.2403646
4. Alarabiat, A., Soares, D., and Estevez, E. (2021). Determinants of citizens’ intention to engage in
government-led electronic participation initiatives through Facebook. Government Information
Quarterly, 38(1), Article 101537. https://doi.org/10.1016/j.giq.2020.101537
5. Alfonso, L., Gharesifard, M., & Wehn, U. (2022). Analysing the value of environmental citizen-
generated data. Complementarity and cost per observation. Journal of Environmental Management,
303, 114157. https://doi.org/10.1016/j.jenvman.2021.114157
6. Ardanaz, M., Otálvaro-Ramírez, S., & Scartascini, C. (2023). Does information about citizen
participation initiatives increase political trust? World Development, 162, 106132.
https://doi.org/10.1016/j.worlddev.2022.106132
7. Asmawanti-S, D., Afiah, N. N., Ritchi, H., & Suharman, H. (2025). Literature review of government
digital services based on public value theory and citizen perspectives. Cogent Business &
Management, 12(1), Article 2518494. https://doi.org/10.1080/23311975.2025.2518494
8. Atalay, H. N., & Yücel, Ş. (2024). Decoding privacy concerns: The role of perceived risk and benefits
in personal health data disclosure. Archives of Public Health, 82, 180. https://doi.org/10.1186/s13690-
024-01416-z
9. Australian Government, Digital Transformation Agency. (2024). Policy for the responsible use of AI
in government. Australian Government.
10. Baganz, E., McMahon, T., Khorana, S., Magee, L., & Culos, I. (2024). ‘Life would have been harder,
harder and more in chaos, if there wasn’t internet’. Digital inclusion among newly arrived refugees in
Australia during the COVID-19 pandemic. Communication Research and Practice, 11(1), 24-43.
https://doi.org/10.1080/22041451.2024.2345000
https://doi.org/10.1080/22041451.2024.2345000
11. Balázs, B., Mooney, P., Nováková, E., Bastin, L., & Jokar Arsanjani, J. (2021). Data quality in citizen
science. In K. Vohland et al. (Eds.), The science of citizen science (pp. 139-157). Springer.
https://doi.org/10.1007/978-3-030-58278-4_8
https://doi.org/10.1007/978-3-030-58278-4_8
12. Bikowski, L. (2026). Social Media Strategies for Building Trust in Nonprofit Hospitals a Conceptual
Framework. European Journal of Management Issues, 34(1), 21-29. https://doi.org/10.15421/192602
13. Bikowski, L. (2025). Consumer Responses to Algorithmic Marketing Synthesis of Evidence and a
Guiding Framework. Expert Journal of Marketing, 13(1), 19-30.
14. Sukhera J. (2022). Narrative Reviews: Flexible, Rigorous, and Practical. Journal of graduate medical
education, 14(4), 414-417. https://doi.org/10.4300/JGME-D-22-
00480.1https://doi.org/10.4300/JGME-D-22-00480.1
15. Popay, J., Roberts, H., Sowden, A., & Petticrew, M. (2006). Guidance on the conduct of narrative
synthesis in systematic reviews. Lancaster University.
https://doi.org/10.13140/2.1.1018.4643
16. Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in
systematic reviews. BMC medical research methodology, 8, 45. https://doi.org/10.1186/1471-2288-
8-45
Page 1446
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
17. Berti Suman, A., Schade, S., & Abe, Y. (2020). Exploring legitimization strategies for contested uses
of citizen-generated data for policy. Journal of Human Rights and the Environment, 11(3), 74-102.
https://doi.org/10.4337/jhre.2020.03.04
https://doi.org/10.4337/jhre.2020.03.04
18. Bernardo, B. M. V., Mamede, H. S., Barroso, J. M. P., & Santos, V. M. P. D. dos. (2024). Data
governance & quality management-Innovation and breakthroughs across different fields. Journal of
Innovation & Knowledge, 9(4), 100598. https://doi.org/10.1016/j.jik.2024.100598
19. Hauashdh, A., Nagapan, S., Jailani, J., & Gamil, Y. (2024). An integrated framework for sustainable
and efficient building maintenance operations aligning with climate change, SDGs, and emerging
technology. Results in Engineering, 21, 101822. https://doi.org/10.1016/j.rineng.2024.101822
20. Boncu, Ș., Candel, O.-S., & Popa, N. L. (2022). Gameful green. A systematic review on the use of
serious computer games and gamified mobile apps to foster pro-environmental information, attitudes
and behaviors. Sustainability, 14(16), 10400. https://doi.org/10.3390/su141610400
21. Bonney, R., Phillips, T. B., and Enck, J. W. (2016). Can citizen science enhance public understanding
of science? Public Understanding of Science, 25(1), 2-16. https://doi.org/10.1177/0963662515607406
22. Borghys, K., Vandercruyssen, L., Veeckman, C., Temmerman, L., & Heyman, R. (2024). Localizing
the sustainable development goals in smart and sustainable cities. How can citizen-generated data
support the local monitoring of SDGs? A case study of the Brussels Capital Region. Frontiers in
Environmental Science, 12, 1369001. https://doi.org/10.3389/fenvs.2024.1369001
23. Cho, C.-K., & Kim, B.-Y. (2022). Development and application of environmental education program
for in-service geography teachers using community mapping and photovoice. Eurasia Journal of
Mathematics, Science and Technology Education, 18(11), Article em2171.
https://doi.org/10.29333/ejmste/12487
24. Climate Council of Australia Ltd. (2021). Annual report 2020-21 (ISBN 978-1-922404-35-0). Climate
Council.
25. Cooper, C. B., Rasmussen, L. M., & Jones, E. D. (2021). Perspective The power (dynamics) of open
data in citizen science. Frontiers in Climate, 3, 637037. https://doi.org/10.3389/fclim.2021.637037
26. David, A., Yigitcanlar, T., Li, R. Y. M., & Corchado Rodríguez, J. M. (2023). Understanding local
government digital technology adoption strategies. A PRISMA review. Sustainability, 15(12), 9645.
https://doi.org/10.3390/su15129645
27. Davison, A. M., de Koning, K., Taubert, F., & Schakel, J.-K. (2025). Automated near real-time
monitoring in ecology. Status quo and ways forward. Ecological Informatics, 89, 103157.
https://doi.org/10.1016/j.ecoinf.2025.103157
28. De Silva Lokuwaduge, C. S., Smark, C., & Mir, M. (2022). The surge of environmental social and
governance reporting and sustainable development goals. Australasian Accounting, Business and
Finance Journal, 16(2), 3-11. https://doi.org/10.14453/aabfj.v16i2.2
29. Department of Planning and Environment. (2023). Marine debris threat and risk assessment summary
report. State of New South Wales, Department of Planning and Environment.
30. Fritz, S., See, L., Carlson, T. et al. (2019). Citizen science and the United Nations Sustainable
Development Goals. Nature Sustainability, 2(10), 922-930. https://doi.org/10.1038/s41893-019-0390-
3
31. Fraisl, D., Hager, G., Bedessem, B., Gold, M., Hsing, P.-Y., Danielsen, F., Hitchcock, C. B., Hulbert,
J. M., Piera, J., Spiers, H., Thiel, M., & Haklay, M. (2022). Citizen science in environmental and
ecological sciences. Nature Reviews Methods Primers, 2(1), Article 64.
https://doi.org/10.1038/s43586-022-00144-4
32. Fraisl, D., See, L., Campbell, J., Danielsen, F., & Andrianandrasana, H. T. (2023). The contributions
of citizen science to the United Nations Sustainable Development Goals and other international
agreements and frameworks. Citizen Science: Theory and Practice, 8(1), Article 27.
https://doi.org/10.5334/cstp.643
33. Ghauri, P., Fu, X., & Minayora, A. (2022). Digital technology-based entrepreneurial pursuit of the
marginalised communities. Journal of International Management, 28(2), 100948.
https://doi.org/10.1016/j.intman.2022.100948
34. Golumbic, Y. N. (2024). Where does the balance lie? Scientific, societal, and individual goals of
citizen science projects. Environmental Science & Policy, 159, Article 103828.
https://doi.org/10.1016/j.envsci.2024.103828
Page 1447
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
35. Groot, B., Abma, T., Lakeman, S., Kruithof, K., Triemstra, M., & Widdershoven, G. (2022). Ethics
framework for citizen science and public and patient participation in research. BMC Medical Ethics,
23, 54. https://doi.org/10.1186/s12910-022-00761-4
36. Guenther, J., Holmes, C., & Williamson-Kefu, M. (2025). Principles of successful digital inclusion
initiatives in remote Australia. Australian Journal of Social Issues. Advance online publication.
https://doi.org/10.1002/ajs4.70064
37. Hajj-Hassan, M., Chaker, R., & Cederqvist, A.-M. (2024). Environmental education: A systematic
review on the use of digital tools for fostering sustainability awareness. Sustainability, 16(9), 3733.
https://doi.org/10.3390/su16093733
38. Haklay, M., Fraisl, D., Greshake Tzovaras, B., Hecker, S., Gold, M., Hager, G., Ceccaroni, L.,
Kieslinger, B., Wehn, U., Woods, S., Nold, C., Balázs, B., Mazzonetto, M., et al. (2021). Contours of
citizen science: A vignette study. Royal Society Open Science, 8(8), Article 202108.
https://doi.org/10.1098/rsos.202108
39. Hansen, J. S., Gadegaard, S., Hansen, K. K., Larsen, A. V., Møller, S., Thomsen, G. S., & Holmstrand,
K. F. (2021). Research data management challenges in citizen science projects and recommendations
for library support services A scoping review and case study. Data Science Journal, 20, 25.
https://doi.org/10.5334/dsj-2021-025
40. Haque, A., Shampa, M., Akter, M., Hussain, M. M., Rahman, M. R., Salehin, M., & Rahman, M.
(2024). An integrated risk-based early warning system to increase community resilience against
disaster. Progress in Disaster Science, 21, 100310. https://doi.org/10.1016/j.pdisas.2023.100310
41. Heydari-Gharaei, E., Nourinejad, M., & Roorda, M. J. (2025). Planning mobile sensing cycles for
urban data collection. SSRN. https://doi.org/10.2139/ssrn.5601919
42. Howard, L., van Rees, C. B., Dahlquist, Z., Luikart, G., & Hand, B. K. (2022). A review of invasive
species reporting apps for citizen science and opportunities for innovation. NeoBiota, 71, 165-188.
https://doi.org/10.3897/neobiota.71.79597
43. Issah, W. B., Ferdous, L. T., Bhuiyan, F., & Sharif, T. (2024). Digitalisation and environmental
management activities. The effects of family ownership. Business Strategy and the Environment.
Advance online publication. https://doi.org/10.1002/bse.3706
44. Jamtli, B., Svendsen, E. J., Jørgensen, T. M., Kramer-Johansen, J., Ranhof Hov, M., & Hardeland, C.
(2024). Factors affecting emergency medical dispatchers’ decision making in stroke calls: A
qualitative study. BMC Emergency Medicine, 24, Article 214. https://doi.org/10.1186/s12873-024-
00951-w
45. Johnson, N., Druckenmiller, M. L., Danielsen, F., & Pulsifer, P. L. (2021). The use of digital platforms
for community-based monitoring. BioScience, 71(5), 452-466. https://doi.org/10.1093/biosci/biaa162
46. Kassen, M. (2022). Open data governance and its actors: Theory and practice. Palgrave Macmillan.
https://doi.org/10.1007/978-3-030-92065-4
47. Kloppenburg, S., Gupta, A., Kruk, S. R. L., Makris, S., Bergsvik, R., Korenhof, P., Solman, H., &
Toonen, H. M. (2022). Scrutinizing environmental governance in a digital age. New ways of seeing,
participating, and intervening. One Earth, 5(2), 181-193. https://doi.org/10.1016/j.oneear.2022.02.004
48. Körner, M.-F., Leinauer, C., Ströher, T., & Strüker, J. (2025). Digital measuring, reporting, and
verification (dMRV) for decarbonization. Business and Information Systems Engineering, 67, 753-
765. https://doi.org/10.1007/s12599-025-00953-3
49. Kosmala, M., Wiggins, A., Swanson, A., and Simmons, B. (2016). Assessing data quality in citizen
science. Frontiers in Ecology and the Environment, 14(10), 551-560. https://doi.org/10.1002/fee.1436
50. Lemos, M., Henriques, A. R., Lopes, D. G., Mendonça, N., Victorino, A., Costa, A., Arriaga, M.,
Gregório, M. J., de Sousa, R., Canhão, H., & Rodrigues, A. M. (2024). Usability and Utility of a
Mobile App to Deliver Health-Related Content to an Older Adult Population: Pilot Noncontrolled
Quasi-Experimental Study. JMIR formative research, 8, e46151. https://doi.org/10.2196/46151
51. Llasat-Botija, M., Esbrí, L., Rigo, T., & Llasat, M. C. (2025). The application of citizen science to
evaluate the emergency and the response of the population in the October 2019 flash flood event in
the Francolí River (NE Spain). Water, 17(5), 610. https://doi.org/10.3390/w17050610
52. Local Government Victoria. (2025). Local government better practice guide: Performance reporting
indicator guide (2024-2025). Victorian State Government.
Page 1448
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
53. Lush, V., Bastin, L., Otsu, K., & Masó, J. (2024). Assessing FAIRness of citizen science data in the
context of the Green Deal Data Space. International Journal of Digital Earth, 17(1).
https://doi.org/10.1080/17538947.2024.2344587
54. Lv, L., & Zhang, P. (2025). Unlocking green potential. How open government data enhances green
economic efficiency in China? Journal of Environmental Management, 380, 125043.
https://doi.org/10.1016/j.jenvman.2025.125043
55. MacPhail, V. J., Gibson, S. D., & Colla, S. R. (2020). Community science participants gain
environmental awareness and contribute high quality data but improvements are needed: Insights from
Bumble Bee Watch. PeerJ, 8, e9141. https://doi.org/10.7717/peerj.9141
56. Mansoor, M. (2021). Citizens’ trust in government as a function of good governance and government
agency’s provision of quality information on social media during COVID-19. Government
Information Quarterly, 38(4), 101597. https://doi.org/10.1016/j.giq.2021.101597
57. Martinez-Osuna, J. F., Piermattei, V., Coppini, G., & Marcelli, M. (2025). Low-cost water level
measurement technologies for assessing the impact of climate change and storm surges in coastal
areas, suitable for citizen science initiatives. Frontiers in Marine Science, 12.
https://doi.org/10.3389/fmars.2025.1604069
58. McKnight, D. H., Choudhury, V., and Kacmar, C. (2002). Developing and validating trust measures
for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.
https://doi.org/10.1287/isre.13.3.334.81
59. Mehrabadi, M. A., Dutt, N., & Rahmani, A. M. (2021). The causality inference of public interest in
restaurants and bars on daily COVID-19 cases in the United States: Google Trends analysis. JMIR
Public Health and Surveillance, 7(4), e22880. https://doi.org/10.2196/22880
60. Miao, H., Mohamad Saleh, M. S., & Zolkepli, I. A. (2022). Gamification as a learning tool for pro-
environmental behavior: a systematic review. Malaysian Journal of Social Sciences and Humanities
(MJSSH), 7(12), e001881. https://doi.org/10.47405/mjssh.v7i12.1881
61. Mo, H., & Beh, L.-S. (2025). From expectation and participation to satisfaction: The moderating role
of perceived government responsiveness in digital government. Administrative Sciences, 15(9), 364.
https://doi.org/10.3390/admsci15090364
62. Molobela, T. (2023). E-government and public administration. Navigating through the public
administration paradigm of governance to make sense of e-governance. International Journal of Social
Science Research and Review, 6(8), 340-351
63. Mosca, O., Manunza, A., Manca, S., Vivanet, G., & Fornara, F. (2024). Digital technologies for
behavioral change in sustainability domains: A systematic mapping review. Frontiers in Psychology,
14, Article 1234349. https://doi.org/10.3389/fpsyg.2023.1234349
64. Mustafa, R., Han, J., Sarkar, N. I., & Petrova, K. (2025). Secure cross-layer mobile sensing framework
for real-time disaster reporting and visualisation using a mobile application. Sensors, 25(21), 6766.
https://doi.org/10.3390/s25216766
65. National Indigenous Australians Agency. (2021). Indigenous digital inclusion plan: Discussion paper
- September 2021. Commonwealth of Australia.
66. O’Donnell, M., Collier, M., Pineda-Pinto, M., Cooper, C., Nulty, F., & Rodríguez Castañeda, N.
(2025). Redefining co-design for social-ecological research and practice. A systematic literature
review. Environmental Science & Policy, 164, 103998. https://doi.org/10.1016/j.envsci.2025.103998
67. OECD (2020). The OECD digital government policy framework: Six dimensions of a digital
government. OECD Public Governance Policy Papers, No. 02. OECD Publishing.
http://dx.doi.org/10.1787/f64fed2a-en
68. OECD. (2025a). Drivers of trust in public institutions in Australia. OECD Publishing.
69. OECD. (2025b). Government at a glance 2025: Open government data chapter. OECD Publishing.
70. Paul, J. D., Bee, E., & Budimir, M. (2021). Mobile phone technologies for disaster risk reduction.
Climate Risk Management, 32, 100296. https://doi.org/10.1016/j.crm.2021.100296
71. Peng, X., & Xiao, D. (2024). Can open government data improve city green land-use efficiency?
Evidence from China. Land, 13(11), 1891. https://doi.org/10.3390/land13111891
72. Ponti, M., & Craglia, M. (2020). Citizen-generated data for public policy. A brief review of European
citizen-generated data projects (JRC Technical Report No. JRC120231). European Commission, Joint
Research Centre.
Page 1449
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
73. Pramuditha, R., Muhafidin, D., Sumaryana, A., & Susanti, E. (2024). Exploring the impacts of e-
government service quality on citizen satisfaction and trust. Evidence from population administration
services. Journal of Logistics, Informatics and Service Science, 11(8), 283-302.
https://doi.org/10.33168/JLISS.2024.0817
74. Puiu, S., & Udriștoiu, M. T. (2023). Environmental volunteering projects management. A multivariate
analysis of volunteers’ perspective on the knowledge and skills gained, their involvement in
community life and the role of environmental monitoring sensors. Sustainability, 15(14), 11139.
https://doi.org/10.3390/su151411139
75. Robinson, L. D., Cawthray, J. L., West, S. E., Bonn, A., & Ansine, J. (2018). Ten principles of citizen
science. In S. Hecker, M. Haklay, A. Bowser, Z. Makuch, J. Vogel, & A. Bonn (Eds.), Citizen science:
Innovation in open science, society and policy (pp. 27-40). UCL Press.
https://doi.org/10.14324/111.9781787352339
76. Scholta, H., Halsbenning, S., & Niemann, M. (2025). A coordination perspective on digital public
services in federal states. Government Information Quarterly, 42(1), Article 101984.
https://doi.org/10.1016/j.giq.2024.101984
77. Shinbrot, X. A., Jones, K. W., Newman, G., & Ramos-Escobedo, M. (2023). Why citizen scientists
volunteer: The influence of motivations, barriers, and perceived project relevancy on volunteer
participation and retention from a novel experiment. Journal of Environmental Planning and
Management, 66(1), 122-142. https://doi.org/10.1080/09640568.2021.1979944
78. Sleep, L., & Harris, P. (2021). The importance of digital inclusion in accessing care and support in
our increasingly digitised world. Journal of Social Inclusion, 12(2), 1-2.
https://doi.org/10.36251/josi252
79. Szedmák, B., Varga, L., & Szabó, R. Z. (2025). Digital transformation of public services. The case of
the document management application. International Journal of Public Administration. Advance
online publication. https://doi.org/10.1080/01900692.2025.2520522
80. Thomas, J., McCosker, A., Parkinson, S., Hegarty, K., Featherstone, D., Kennedy, J., Holcombe-
James, I., Ormond-Parker, L., & Ganley, L. (2023). Measuring Australia’s digital divide. The
Australian digital inclusion index 2023. RMIT University, Swinburne University of Technology, and
Telstra. https://doi.org/10.25916/528s-ny91
81. Thomas, J., McCosker, A., Parkinson, S., Hegarty, K., Featherstone, D., Kennedy, J., Ormond-Parker,
L., Morrison, K., Rea, H., & Ganley, L. (2025). Measuring Australia’s digital divide. 2025 Australian
Digital Inclusion Index. ARC Centre of Excellence for Automated Decision-Making and Society,
RMIT University, Swinburne University of Technology, and Telstra. https://doi.org/10.60836/mtsq-
at22
82. Toșa, C., Paneru, C. P., Joudavi, A., & Tarigan, A. K. M. (2024). Digital transformation, incentives,
and pro-environmental behaviour: Assessing the uptake of sustainability in companies’ transition
towards circular economy. Sustainable Production and Consumption, 47, 632-643.
https://doi.org/10.1016/j.spc.2024.04.032
83. Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User Acceptance of Information
Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.
https://doi.org/10.2307/30036540
84. Wang, J., Chen, Y., & Luo, Q. (2025). Does government data openness have a green effect? An
examination from the perspective of green innovation. Frontiers in Environmental Science, 13,
1530892. https://doi.org/10.3389/fenvs.2025.1530892
85. Wehn, U., and Evers, J. (2015). The social innovation potential of ICT-enabled citizen observatories
to increase eParticipation in local flood risk management. Technology in Society, 42, 187-198.
https://doi.org/10.1016/j.techsoc.2015.05.002
86. Wesseling, J., de Ruiter, H., Blokhuis, C., Drukker, D., Weijers, E., Volten, H., Vonk, J., Gast, L.,
Voogt, M., Zandveld, P., van Ratingen, S., & Tielemans, E. (2019). Development and implementation
of a platform for public information on air quality, sensor measurements, and citizen science.
Atmosphere, 10(8), 445. https://doi.org/10.3390/atmos10080445
87. Woods, S. M., Daskolia, M., Joly, A., Bonnet, P., Soacha, K., Llián, S., Woods, T., Piera, J., &
Ceccaroni, L. (2022). How networks of citizen observatories can increase the quality and quantity of
Page 1450
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citizen-science-generated data used to monitor SDG indicators. Sustainability, 14(7), 4078.
https://doi.org/10.3390/su14074078
88. Yulianto, Y., Rosalia, F., & Hutagalung, S. S. (2025). Adaptive governance in environmental issue.
Systematic literature review. International Journal of Energy and Environment, 16(3), 615-625.
https://doi.org/10.18280/ijei.080319