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Paradigm Shift from Traditional to Viral Marketing: Cost
Challenges, Cultural Dynamics and New Strategies in Asian Film
Marketing
Syarul Azlina Sikandar*
Faculty of Film, Theatre and Animation, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor,
Malaysia
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150600081
Received: 15 June 2026; Accepted: 29 June 2026; Published: 07 July 2026
ABSTRACT
The global film industry has undergone a profound transformation in its marketing strategies, accelerated by the
proliferation of Web 2.0 technologies and the dominance of social media platforms. Traditional marketing
channels, television, radio, and print have been progressively supplanted by viral marketing strategies that
promise large-scale audience reach at substantially lower costs. This paper examines the paradigm shift from
traditional to viral marketing within the Asian film industry, with particular attention to cost challenges, cultural
dynamics, and emerging technological strategies. Employing a qualitative approach grounded in systematic
document review, this study applies a structured two-stage screening and quality appraisal procedure informed
by PRISMA best practices to synthesize existing scholarship from Scopus-indexed academic journals and peer-
reviewed scholarly books on social media marketing, viral communication, electronic word-of-mouth (eWOM),
cultural dimensions of film consumption, and technology-driven marketing innovation. Findings reveal that
while platforms such as TikTok, Instagram, Weibo, and Douyin offer unprecedented cost efficiency and organic
reach, viral campaigns are constrained by the ephemerality of audience interest, the so-called ‘15 minutes of
fame’ phenomenon. Critically, the study demonstrates that viral marketing dynamics, cost structures, and
platform cultures differ substantially across Asian national markets, including China, Malaysia, India, South
Korea, Indonesia, and Vietnam, and that no single regional model adequately captures this heterogeneity. The
emergence of Artificial Intelligence (AI), Big Data analytics, predictive modelling, and blockchain-based
marketing systems further reshapes the strategic landscape. While the exclusive reliance on secondary sources
is acknowledged as a limitation, the study incorporates comparative case evidence from multiple Asian film
industries to ground theoretical insights in documented real-world outcomes. This study contributes to the
growing body of scholarship on digital film marketing in Asian contexts and offers practical implications for
producers, distributors, and marketing professionals operating in the post-Web 2.0 media economy.
Keywords: viral marketing, Asian film industry, social media marketing, eWOM, cultural dimensions, digital
marketing strategy, AI in film marketing, cost challenges
INTRODUCTION
The film industry operates as a fundamentally commercial enterprise, requiring meticulous strategic
management and effective marketing to ensure financial sustainability and box-office viability. Historically, film
producers and distributors relied on conventional marketing channels that broadcast television, radio, and print
advertising as the primary mechanisms for reaching mass audiences. These traditional strategies, while effective
within the broadcast media era, are characterized by prohibitive costs and declining returns in an increasingly
digitized media environment.
The advent of Web 2.0 technologies and the exponential growth of social media platforms have fundamentally
restructured the marketing landscape. Eckler and Rodgers (2010) note that viral marketing on the internet
exploits the interconnectedness of digital social networks to propagate brand messages organically, reducing
dependence on paid media while achieving exponential audience reach. This transformation holds particular
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significance for the Asian film industry, where producers must navigate culturally heterogeneous markets while
managing tightly constrained promotional budgets.
The concept of viral marketing defined as the use of pre-existing social networks to produce increases in brand
awareness through self-replicating viral processes (Kaplan & Haenlein, 2011) has attracted significant scholarly
attention as an alternative to traditional advertising. However, literature simultaneously documents a critical
structural vulnerability: the tendency of viral content to generate short-lived interest spikes that rapidly dissipate
without sustained strategic intervention. This ephemeral quality, colloquially likened to Andy Warhol's
prediction that everyone would experience fifteen minutes of fame, represents a central challenge for film
marketers seeking to translate online visibility into durable commercial outcomes.
Compounding these dynamics is the pronounced cultural heterogeneity of Asian markets. Research demonstrates
that viral marketing effectiveness varies substantially across different Asian cultural contexts from the
collectivist consumer behavior prevalent in Malaysia and Indonesia to the sentiment-driven eWOM ecosystems
of China's Weibo and Douyin platforms (Madongo, Tang, & Chiwaridzo, 2026; Chiu, Chen, Wang, & Hsu,
2019). Understanding these cultural dimensions is therefore indispensable for the design of effective viral
marketing strategies in the Asian film industry.
This paper investigates the paradigm shift from traditional to viral marketing in Asian film marketing through a
systematic review of Scopus-indexed journals and peer-reviewed scholarly books. The study addresses three
interconnected research questions: (1) What cost challenges characterize the transition from traditional to viral
marketing in the Asian film industry? (2) How do cultural differences across Asian markets shape viral marketing
strategies and outcomes? (3) In what ways are emerging technologies including AI, Big Data, and predictive
analytics reshaping film marketing strategy in Asia? The following sections present the theoretical and empirical
literature underpinning these questions, the methodological approach employed, key findings and discussion,
and conclusions with implications for practice and future research.
LITERATURE REVIEW
The Decline of Traditional Marketing and Its Cost Implications
Marketing represents not merely a promotional function but a strategic process central to the financial viability
of any film production. Kotler and Keller (2016) define effective marketing management as the process of
identifying customer needs, developing value propositions, and communicating these propositions through
appropriate channels. In the film industry, the selection of communication channels carries direct and significant
financial consequences.
Wasko (2003) provides a seminal analysis of the Hollywood marketing model, demonstrating that studios have
historically allocated 'prints and advertising' (P&A) budgets equivalent to or exceeding a film's production
budget. This cost structure, while sustainable for major studios with large revenue bases, poses existential
financial risks for independent producers and regional filmmakers. In the Asian context, where production
budgets are substantially smaller than Hollywood equivalents, proportionally high marketing expenditures can
render a film commercially unviable before audiences can engage with it.
Kerrigan, Hart, and Barua (2013) contextualize film marketing within the broader arts marketing literature,
arguing that the unique characteristics of films as cultural commodities, experiential goods with high perceived
risk and low repurchase rates make pre-consumption marketing communication critically important. The
challenge is that traditional media channels, while reaching broad audiences, are increasingly inefficient at
engaging the younger demographics most likely to consume cinematic content. As Jenkins (2006) demonstrates,
these audiences have migrated toward participatory digital platforms, rendering broadcast advertising
insufficient as a standalone promotional strategy.
Maxwell (2023) reinforces this argument in the Malaysian context through a case study of the film Redha,
demonstrating that effective strategic management in local film production necessitates the deliberate integration
of digital marketing tools. Rawat and Prasad (2015), writing from the Indian context, further affirm that viral
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marketing strategies are increasingly viewed as both more economical and more effective than traditional
advertising, particularly for reaching the youth demographic that constitutes the core cinema-going audience.
However, the transition to digital and viral marketing is not without its own cost challenges. Eckler and Rodgers
(2010) identify reduced control over campaign outcomes as a significant risk, noting that viral campaigns
dependent on consumer-generated content introduce unpredictability that can result in financial losses when
content fails to resonate. The initial investment in producing high-quality, shareable content can be substantial,
requiring specialized creative and technical expertise that traditional marketing teams may lack. Kerrigan et al.
(2013) further observes that transitioning to digital-first marketing requires significant reallocation of resources,
including investment in data analytics capabilities, platform management, and influencer relationship
development costs that are often underestimated by producers accustomed to conventional media buying.
Social Media as a Strategic Driver of Film Brand Awareness
The theoretical foundation for social media marketing in the film industry draws on Evans' (2012) framework,
which characterizes social media as a mechanism for simultaneously driving sales, enhancing brand awareness,
and fostering user interactivity at lower costs than conventional advertising. Unlike broadcast media, social
media platforms enable bidirectional communication, transforming audiences from passive recipients of
marketing messages into active participants in the construction and dissemination of brand narratives.
Kaplan and Haenlein (2010) provide a foundational classification of social media platforms according to two
dimensions: social presence/media richness and self-presentation/self-disclosure. This taxonomy has significant
practical implications for film marketing strategy, as different platforms serve distinct communicative functions.
High-richness platforms such as TikTok and Instagram facilitate the distribution of visually compelling short-
form video content, behind-the-scenes material, and trailer launches, while platforms such as Twitter/X enable
real-time audience engagement and trend amplification.
Mohamad Shaiful, Mohamed, and Saahar (2019) provide empirical support for the effectiveness of social media
marketing on Malaysian film audiences, documenting significant positive associations between social media
engagement and audience intention to watch films. Their findings are consistent with broader evidence that
approximately 53 per cent of cinema audiences select films based on recommendations received from others a
pattern that social media platforms systematically amplify through algorithmic content distribution and peer-
sharing mechanisms.
Kurniawan and Rofiki (2024) extend this analysis to the Indonesian context, demonstrating that social media
strategies positively influence both audience satisfaction and enthusiasm for films. Their research highlights the
effectiveness of platforms that enable content co-creation and peer sharing mechanisms that reduce studio
expenditure while maximizing organic reach through user-generated amplification. Puspanathan, Kia, and
Ramendran (2022) further enrich this evidence base by demonstrating the mediating role of brand recall in film
marketing, finding that successful social media campaigns enhance audiences' ability to identify and remember
a film brand, which in turn positively predicts ticket purchase intentions.
Ahmed, Fenton, Hardey, and Das (2022) contribute a compelling case study of Netflix's Squid Game,
demonstrating how binge-watching behavior and social media virality can be mutually reinforced. The study
shows that social media discussions generated by engaged viewers created self-sustaining interest cycles that
drove continued subscription and viewership, offering a model for how Asian film and series distributors might
leverage social media ecosystems to sustain audience engagement beyond initial release.
Basri (2023) provides a comprehensive analysis of emotional dynamics in viral marketing, identifying content
type, audience characteristics, platform affordances, and timing as the four critical variables that determine viral
marketing outcomes. This framework has direct applicability to film marketing, suggesting that the success of a
viral campaign depends not merely on content quality but on the strategic alignment of content with the specific
emotional propensities and platform behaviors of target audience segments.
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Cultural Dimensions and Their Impact on Viral Marketing Effectiveness in Asia
Cultural Specificity, Adaptation, and the Cultural Discount
Cultural differences represent perhaps the most significant variable shaping viral marketing effectiveness across
Asian film markets. Wang, Pan, Zhu, and Cai (2020) demonstrate that East Asian films with high cultural
specificity in content face considerable challenges in cross-cultural markets due to cultural distance, while films
with strong aesthetic appeal can mitigate these barriers by engaging universal visual preferences. This finding
has direct implications for marketing strategy: promotional materials that foreground culturally specific symbols,
dialects, or traditions may achieve resonance within domestic markets while limiting international viral potential.
Wu and Zou (2025) extend this analysis to the construction of film and television symbols in Chinese cinema,
arguing that successful cross-cultural communication requires innovative adaptation of culturally specific
elements to resonate with diverse international audiences. Their study documents the phenomenon of the 'cultural
discount' systematic reduction in perceived value that audiences assign to culturally distant content and proposes
strategies for minimizing this discount through targeted content adaptation in marketing campaigns.
Lee (2008, 2009) provides longitudinal evidence of cultural discount dynamics in East Asian film markets,
demonstrating that Hollywood films and drama-category award films experience greater cultural discounting in
these markets than other genres, while non-drama awards maintain broader cross-cultural appeal. These patterns
have practical implications for marketing strategy: campaign elements that foreground genre characteristics and
audience-specific emotional appeals are likely to be more effective than those relying on critical awards
recognition.
Sharma and Kaur (2018) develop a cross-cultural framework for modelling the elements and effects of global
viral advertising content, identifying cultural values dimensions including individualism/collectivism, power
distance, uncertainty avoidance, and long-term orientation as key moderators of viral advertising effectiveness.
Their findings suggest that campaigns designed for collectivist Asian cultures should emphasize community
endorsement, social proof, and collective identity over individual achievement or personal recommendation a
fundamental departure from Western viral marketing conventions.
EWOM Dynamics and Platform-Specific Strategies Across Asian Markets
Electronic word-of-mouth (eWOM) has emerged as a central mechanism of viral film marketing, but its
dynamics vary substantially across Asian cultural contexts. Chiu, Chen, Wang, and Hsu (2019) provide a direct
comparative analysis of American and Chinese film audiences, finding that Chinese audiences tend toward
moderate reviews with lower variance, while American audiences exhibit more extreme opinion expression.
This difference in eWOM behavior has significant implications for marketing strategy: campaigns designed to
generate polarized audience responses a common viral marketing tactic in Western contexts may be less effective
in Chinese markets where moderated sentiment is the norm.
Madongo, Tang, and Chiwaridzo (2026) provide the most current analysis of this dynamic through their
examination of the 'recursive engagement economy' of film success in China. Their study demonstrates that
social media eWOM, box office sustainability, and marketing efficiency operate in mutually reinforcing cycles
on platforms such as Weibo and Douyin, where sentiment-driven virality rather than influencer-centric strategies
drives sustained audience engagement. This finding challenges the dominant Western model of influencer
marketing and suggests that Chinese film markets require fundamentally different strategic approaches.
AlAfnan (2024) contributes a demographic analysis of social media personalities across Asian markets,
identifying the dominance of the 'Lurker' personality type audiences who consume content without actively
sharing or commenting as a critical characteristic of Asian social media behavior. This finding has direct
implications for viral marketing strategy: campaigns that rely exclusively on user sharing for organic reach may
substantially underestimate the passive engagement of significant audience segments. Marketing strategies must
therefore incorporate both sharing-incentive mechanisms and passive consumption pathways to maximize
campaign reach.
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Stafford and Duong (2023) provide a cross-cultural comparison of social media in emerging Asian economies,
identifying distinct social media cultures in Vietnam and Singapore that demand fundamentally different
marketing approaches. Vietnam's emphasis on social commerce leveraging personal connections for peer-to-
peer product promotion contrasts with Singapore's influence commerce model, where social media presence is
monetized within a government-aligned regulatory framework. These divergent models require film marketers
to develop market-specific platform strategies rather than applying uniform regional approaches.
Localization Strategies and Collectivist Consumer Behavior
Ye, Binwei, and Starkey (2018) examine the economic and cultural implications of China's Belt and Road
Initiative for the film industry, arguing that effective cross-cultural film marketing requires the development of
detailed national taste profiles that account for cultural proximity, language similarity, and shared aesthetic
preferences. Their analysis highlights the commercial importance of cultural proximity in determining both box
office performance and the viral potential of film marketing content.
Song, Moon, Chen, and Houston (2018) provide a broader theoretical framework for understanding the role of
culture in product evaluations, demonstrating that cultural values systematically shape consumer response to
marketing stimuli. Their findings suggest that marketing strategies must account for the specific cultural
dimensions prevalent in target markets a particular challenge in the diverse Asian context, where collectivist
values are widespread but manifest differently across national and ethnic cultures.
In the Malaysian context, Ting, de Run, Cheah, and Chuah (2016) demonstrate that subjective norms and social
approval are critical determinants of consumer behavior, with peer influence carrying substantially greater
weight than in individualist Western markets. This collectivist orientation creates both opportunities and
challenges for viral film marketing: on the one hand, peer recommendation carries extraordinary persuasive
weight; on the other, negative peer sentiment can rapidly and irrecoverably damage a film's reputation in digital
public spaces.
Technology-Driven Innovation in Asian Film Marketing
Artificial Intelligence, Big Data, and Personalization
The emergence of Industry 4.0 technologies has introduced new dimensions of strategic sophistication to film
marketing in Asia. Agarwal, Pathak, Singh, and Thakur (2025) examine the technological evolution of
promotional strategies in Indian cinema, demonstrating that the integration of AI, Big Data analytics, and social
network analysis enables film marketers to develop personalized marketing campaigns that anticipate and
respond to audience preferences at the individual level. This capability represents a fundamental advance beyond
the demographic segmentation that characterizes conventional marketing practice.
Li, Wang, and Lee (2025) provide an in-depth analysis of viral marketing dynamics in Chinese online social
networks through the lens of otome game marketing, employing explainable predictive modelling to identify the
factors that drive content virality. Their research demonstrates that machine learning models trained on historical
engagement data can achieve substantial predictive accuracy in forecasting which content elements are likely to
generate viral sharing behavior. Applied to film marketing, such models offer the potential to optimize content
production and release timing to maximize viral impact.
Yu and Liu (2022) extend this technological frontier by proposing a blockchain-based marketing strategy
optimization system for film companies, incorporating a recurrent neural network (RNN) model to process
historical marketing data and generate evidence-based strategic recommendations. Their approach demonstrates
that advanced computational methods can substantially improve the precision and cost-efficiency of film
marketing campaigns by identifying non-obvious patterns in audience behavior and campaign performance data.
Metrics, Sentiment Analysis, and Predictive Evaluation
The transition to digital marketing has necessitated the development of new frameworks for measuring campaign
effectiveness. Kaur, Kushwah, and Kumar (2025), in their systematic literature review of viral marketing
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research, demonstrate that conventional reach-and-impression metrics are inadequate for assessing the impact
of viral campaigns, which generate value through qualitatively different mechanisms including engagement
depth, content sharing behavior, and user-generated content creation. Their review calls for the adoption of multi-
dimensional evaluation frameworks that capture the full complexity of viral marketing outcomes.
Madongo et al. (2026) provide an empirical demonstration of sentiment analysis as a real-time marketing
evaluation tool in the Chinese film market, showing that analysis of user-generated posts on social media
platforms can generate actionable insights into audience reactions and predict box office sustainability with
considerable accuracy. This capability enables marketing teams to make evidence-based mid-campaign
adjustments to a degree of strategic agility that conventional marketing channels cannot provide.
Sasaki and Jung (2006), writing from the technology marketing context, provide an early but foundational
analysis of the cultural dimensions of technology acceptance in Asian markets, demonstrating that the adoption
of new marketing technologies must account for market-specific cultural values and institutional environments.
This observation remains pertinent in the current context, where the adoption of AI-driven marketing tools varies
substantially across Asian markets depending on regulatory frameworks, digital infrastructure, and cultural
attitudes toward data-driven personalization.
Viral Marketing: Dynamics, Limitations, and the Problem of Ephemerality
Kaplan and Haenlein (2011) provide the foundational theoretical account of viral marketing, describing it as a
strategy that exploits existing social networks to produce exponential increases in brand awareness through self-
replicating communication processes. The advantages of this approach are low advertising cost, rapid audience
growth, accelerated lead generation, and incidental mainstream media coverage are well established in literature.
However, the same authors caution that viral campaigns carry inherent risks related to message distortion, loss
of brand control, and the potential for content to generate unintended negative associations.
Berger (2013) provides the most comprehensive theoretical treatment of virality through his analysis of the
psychological mechanisms driving sharing behavior. Berger's STEPPS framework identifying Social Currency,
Triggers, Emotion, Public Visibility, Practical Value, and Stories as the key drivers of contagious content reveals
that emotional intensity, particularly high-arousal states such as excitement, awe, or anxiety, is the primary
predictor of sharing behavior. Critically, this emotional dimension explains both the rapid ascent and precipitous
decline of viral content: as emotional resonance fades with repeated exposure, sharing behavior diminishes
proportionally.
Gladwell (2000) anticipates the viral marketing dynamic through his concept of 'tipping points,' identifying the
critical threshold at which an idea or social behavior crosses from bounded circulation into exponential spread.
In the film marketing context, a viral moment functions as a tipping point generating sudden and dramatic
increases in audience awareness. However, Gladwell's framework also reveals the structural challenge of
sustaining momentum beyond the initial viral event, as the specific conditions that produced the original tipping
point are inherently non-reproducible.
Kaur et al. (2025), in their systematic literature review of viral marketing research, confirm that the ephemerality
of viral impact is a consistent finding across diverse contexts and media environments. Their review identifies
the absence of long-term follow-through as the most common reason for the failure of otherwise successful viral
campaigns to generate sustained commercial outcomes. For film marketers, this finding underscores the critical
importance of embedding viral moments within broader, sustained content ecosystems rather than treating them
as endpoints of marketing activity.
Jenkins (2006) anticipates this challenge within his convergence culture framework, arguing that sustained
audience participation in media content requires ongoing narrative and emotional investment rather than a single
spectacular event. Applied to film marketing, this principle suggests that viral strategies must be embedded
within content ecosystems that provide audiences with continuous, evolving reasons to engage, share, and return
a requirement that demands substantially greater creative and operational investment than the production of a
single viral asset.
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METHODOLOGY
Research Design
This study adopts a qualitative research design grounded in systematic document review and thematic analysis.
This methodological approach is aligned with the epistemological premise that understanding the complex,
multi-dimensional phenomenon of viral film marketing in Asia requires in-depth interpretive engagement with
existing scholarly knowledge rather than the generation of new primary data through fieldwork. Bowen (2009)
establishes document analysis as a rigorous qualitative research method well suited to the synthesis of dispersed
theoretical frameworks, empirical findings, and contextual insights across an established body of literature. The
current study employs this method to produce analytical conclusions that are both theoretically grounded and
empirically informed. It is acknowledged that exclusive reliance on secondary scholarly sources constitutes a
methodological limitation of this design: primary industry data, box office analytics, and first-hand practitioner
perspectives are not directly incorporated. To partially address this limitation, the study draws where possible
on empirical case evidence documented within selected secondary sources, including documented campaign
outcomes from the Chinese, Malaysian, Korean, and Indian film industries, thereby grounding the theoretical
synthesis in real-world marketing contexts. The findings should nonetheless be interpreted as a scholarly
synthesis of existing evidence rather than as primary industry research, and future empirical work involving
practitioner interviews, social media analytics datasets, and box office data is recommended to validate and
extend the conclusions presented here.
Data Collection: Source Selection and Inclusion Criteria
Data for this study were derived exclusively from two categories of documentary source: (1) peer-reviewed
academic journals indexed in Scopus, Web of Science, Google Scholar, and MyCite; and (2) peer-reviewed
scholarly books published by established academic and professional publishers. This dual-source strategy
ensures both breadth of coverage and rigour of selection, as both Scopus-indexed journals and peer-reviewed
scholarly books represent the highest standard of scholarly validation in their respective domains.
Inclusion criteria for journal articles required that sources: (1) were published in peer-reviewed journals indexed
in Scopus or equivalent recognized databases; (2) addressed at least one of the study's core themes film
marketing, viral marketing, social media marketing strategy, eWOM, cultural dimensions of media consumption,
AI in marketing, or digital marketing economics; and (3) were published between 2000 and 2026, with priority
given to publications from 2010 onward to ensure relevance to the post-Web 2.0 media environment. Scholarly
books were included where they provided foundational theoretical frameworks particularly in the areas of viral
marketing, convergence culture, consumer psychology, and marketing management that are widely cited in peer-
reviewed literature and directly applicable to the study's analytical concerns.
Exclusion criteria removed sources that: (1) were not available in English or Bahasa Melayu/Indonesia; (2)
focused exclusively on non-Asian markets without providing generalizable theoretical insights; (3) addressed
film production rather than marketing and distribution; or (4) were published in non-peer-reviewed outlets
including trade publications, blogs, and practitioner reports. Application of these criteria yielded a final corpus
of sources sufficient to support the thematic synthesis and analytical discussion presented in this paper.
To enhance methodological transparency and replicability, a structured screening and quality appraisal
procedure was applied to all candidate sources, informed by systematic review best practices as outlined by
Kitchenham and Charters (2007) and consistent with the PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analyses) framework adapted for qualitative documentary research. The screening process
proceeded in two stages. In the first stage, titles and abstracts of identified sources were screened against the
inclusion and exclusion criteria described above. Sources failing to satisfy the thematic relevance criterion at
this stage were excluded from further review. In the second stage, full-text review was conducted for all sources
passing initial screening. Quality appraisal at this stage assessed each source against four criteria: (1) clarity and
appropriateness of research design; (2) rigor of data collection and analysis procedures as reported by the source
authors; (3) relevance and specificity of findings to the study’s research questions; and (4) recency and citation
impact as indicators of scholarly standing. Sources satisfying at least three of the four quality criteria were
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retained in the final corpus. This two-stage screening and quality appraisal procedure improves the transparency
and replicability of the systematic review and reduces the risk of analytical conclusions being unduly influenced
by methodologically weak sources.
Data Analysis: Thematic Synthesis
Documents were analyzed using thematic synthesis, following the six-phase process articulated by Braun and
Clarke (2006): familiarization with data, generation of initial codes, searching for themes, reviewing themes,
defining and naming themes, and producing the report. Themes were derived through an inductive process in
which initial codes were generated from the content of individual sources and subsequently organized into
higher-order thematic clusters reflecting the study’s research questions. To address concerns about analytical
transparency and the descriptive tendency of purely inductive synthesis, the analysis incorporated a critical
comparative layer in which findings from studies conducted across different Asian national contexts were
explicitly contrasted rather than aggregated. Where sources documented divergent findings across markets, for
example the contrasting eWOM dynamics of Chinese versus Malaysian audiences, or the differing platform
cultures of Vietnam versus Singapore, these divergences were treated as analytically significant rather than
reconciled into a generalized regional narrative. This approach acknowledges that ‘Asia’ as an analytical unit
encompasses markets with substantially different media infrastructures, regulatory environments, consumer
digital literacies, and cultural orientations, and that meaningful theoretical advancement requires engagement
with this heterogeneity rather than its elision.
Four primary thematic clusters emerged from the synthesis: (1) cost challenges and the structural decline of
traditional marketing; (2) social media platforms as brand-building and audience engagement mechanisms; (3)
cultural dimensions and their impact on viral marketing effectiveness across Asian markets; and (4) technology-
driven innovation in film marketing strategy. Cross-referencing across sources within and between clusters
enabled the identification of converging and diverging perspectives, enhancing the analytical rigour and
credibility of the findings. The resulting thematic framework provides the organizational structure for the
discussion presented in Section 4.
FINDINGS AND DISCUSSION
Cost Challenges and the Structural Shift in Film Marketing Economics
The literature converges on the finding that the economics of film marketing have undergone a structural
transformation driven by the digital migration of target audiences and the prohibitive cost trajectory of traditional
advertising. For Asian film producers operating with constrained budgets, the conventional P&A model
identified by Wasko (2003) is not merely financially burdensome but increasingly ineffective, as younger
audiences the primary cinema-going demographic consume media predominantly through digital and mobile
platforms.
The transition to viral and social media marketing offers a compelling cost advantage but introduces its own
financial complexities. The production of viral-quality content demands significant creative investment, and the
management of digital marketing campaigns requires specialized competencies in data analytics, platform
management, and influencer relations that represent new cost centers for traditional production companies. The
risk of viral campaigns failing to generate expected returns due to the unpredictability of organic sharing
behavior documented by Eckler and Rodgers (2010) further complicates the marketing budget allocation
decisions faced by Asian film producers. It is critical to note, however, that the cost dynamics of this transition
are not uniform across Asian markets. Documented case evidence from secondary sources reveals a pronounced
divergence between large, digitally mature markets and smaller, infrastructure-constrained ones. The Chinese
film industry, operating within the tightly integrated ecosystem of Weibo, Douyin, and WeChat, has developed
sophisticated data-driven marketing pipelines that enable cost optimization at scale, as Madongo et al. (2026)
document through their analysis of the recursive engagement economy. By contrast, independent Malaysian and
Indonesian filmmakers, operating with far smaller budgets and less developed digital marketing infrastructure,
face a structural asymmetry: the cost of producing digital marketing content of sufficient quality to achieve viral
distribution may represent a disproportionate share of total production budgets, even as digital channels
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theoretically offer more affordable reach than broadcast media. The Indian film industry presents a third distinct
configuration: Bollywood studios have progressively integrated YouTube trailer campaigns, celebrity-driven
social media activations, and cross-platform promotional events into their marketing models, with documented
success in achieving international diaspora reach at comparatively modest costs (Agarwal et al., 2025). These
market-specific configurations caution against any singular account of digital marketing’s cost advantages and
underscore the need for market-differentiated financial models rather than a generalized Asian narrative.
Social Media Strategy and the Architecture of Viral Engagement
The evidence synthesized in this review demonstrates that effective social media marketing in the Asian film
industry requires strategic intentionality, platform-specific content adaptation, and sustained investment in
audience community building. Single-platform strategies or opportunistic content posting are insufficient to
generate the sustained engagement necessary to drive box office performance. Successful campaigns, as
documented across the literature, integrate multiple platforms simultaneously leveraging TikTok and Instagram
for short-form video virality, Twitter/X for real-time conversation amplification, and platform-specific channels
such as Weibo and Douyin for Chinese-market engagement.
The mediating role of brand recall identified by Puspanathan et al. (2022) suggests that the ultimate commercial
value of social media engagement lies not merely in reach metrics but in the depth of audience-brand association
created through repeated, varied exposure across multiple touchpoints. This finding implies that film marketing
campaigns should be designed not as single viral events but as coordinated content sequences that systematically
build brand salience over the pre-release and post-release periods.
Cultural Heterogeneity as a Strategic Variable
The most significant implication of the cultural dimension’s literature for Asian film marketing strategy is that
no single viral marketing approach can be applied uniformly across the diverse cultural landscape of the Asian
region. The contrast between Chinese audiences’ preference for moderated, sentiment-driven eWOM (Chiu et
al., 2019; Madongo et al., 2026) and the collectivist social approval dynamics prevalent in Malaysian consumer
behavior (Ting et al., 2016) illustrates the magnitude of cultural variation that marketers must navigate.
Critically, these differences are not merely a matter of degree but reflect fundamentally different media
ecosystems, regulatory environments, and consumer digital cultures that require distinct theoretical frameworks
rather than a unified Asian model. In China, marketing success is mediated by state-adjacent platforms operating
under content regulation that shapes both the form and velocity of viral dissemination; the ‘recursive engagement
economy’ that Madongo et al. (2026) document is a product of this specific institutional configuration and is
unlikely to be directly transferable to the open social media environments of Southeast Asian markets. In
contrast, the Malaysian film industry operates within a dual-language, multi-ethnic consumer market where peer
recommendation networks are fragmented along cultural and linguistic lines, and where the regulatory
environment for digital content marketing is comparatively permissive. Indonesia, meanwhile, presents a third
configuration: a mobile-first market with extremely high social media penetration but heterogeneous digital
infrastructure across urban and rural populations, creating audience fragmentation that viral campaigns must
navigate. South Korean film marketing exemplified by the global viral success of Parasite and the Netflix-
amplified phenomenon of Squid Game (Ahmed et al., 2022) demonstrates yet another distinct model, where high
production value content is strategically positioned on international streaming platforms to achieve simultaneous
domestic and international virality. These country-level distinctions represent not merely contextual variation
but substantively different marketing problems that the existing literature has yet to theorize in an integrated
comparative framework.
The dominant presence of 'Lurker' personality types across Asian social media platforms (AlAfnan, 2024) has
particularly significant strategic implications. Marketing campaigns that rely exclusively on active sharing
behavior to achieve viral reach substantially underestimate the size and commercial potential of passive audience
segments. Strategies that accommodate passive consumption pathways through algorithmic content placement,
ambient brand presence, and peer-visible engagement signals are likely to achieve broader reach across the full
spectrum of Asian social media behaviors.
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The cultural discount dynamic documented by Wang et al. (2020) and Lee (2008, 2009) further underscores the
importance of content localization in film marketing for cross-cultural Asian markets. Promotional materials that
foreground culturally specific aesthetic elements while minimizing references to culturally distant symbols or
narratives are better positioned to achieve viral penetration across diverse Asian audience segments. However,
a critical examination of the cultural discount literature reveals a theoretical tension that existing studies have
not fully resolved: while cultural specificity is shown to limit cross-market viral potential, the empirical evidence
from Korean Wave (Hallyu) content suggests that high cultural specificity can, under certain conditions, become
a source of appeal rather than barrier — a phenomenon sometimes termed ‘cultural proximity through media’ or
the paradox of specific universalism. The viral global spread of Korean drama and music content via platforms
including TikTok and Netflix demonstrates that culturally specific content, when embedded in high-production-
value formats and distributed through algorithmically powerful global platforms, can transcend the cultural
discount predicted by traditional theory. This tension between the cultural discount thesis and the Hallyu
phenomenon demands greater theoretical attention and suggests that existing frameworks may require revision
to account for the role of platform infrastructure, streaming algorithmic amplification, and subcultural fan
communities in moderating cultural distance effects. The current study, operating from secondary sources,
cannot empirically resolve this tension; however, it identifies this as a critical gap for future primary research
incorporating audience reception data across multiple Asian markets.
Technology as a Strategic Differentiator
The integration of AI, Big Data analytics, predictive modelling, and blockchain-based optimization represents
the emerging frontier of competitive differentiation in Asian film marketing. The explainable predictive
modelling approach demonstrated by Li et al. (2025) and the RNN-based strategy optimization system proposed
by Yu and Liu (2022) illustrate the potential for computational methods to substantially improve precision, cost-
efficiency, and adaptability of film marketing campaigns.
For Asian film producers, the adoption of these technologies represents both an opportunity and a challenge.
The opportunity lies in the potential to achieve Hollywood-scale marketing intelligence at a fraction of the cost,
by leveraging machine learning models trained on publicly available social media data to identify optimal
content strategies and release timing. The challenge lies in the requirement for significant technical
infrastructure, data science expertise, and regulatory compliance capabilities that may exceed the resources of
smaller production companies.
CONCLUSION
This paper has examined the paradigm shift from traditional to viral marketing in the Asian film industry through
a systematic review of Scopus-indexed academic journals and peer-reviewed scholarly books. The synthesis of
literature across four thematic clusters cost dynamics, social media strategy, cultural dimensions, and
technology-driven innovation reveals a marketing landscape characterized by substantial opportunity and
equally substantial complexity.
The central finding of this study is that viral marketing, while offering compelling advantages in terms of cost
efficiency, organic reach, and audience engagement potential, is insufficient as a standalone strategy for
sustainable film marketing in Asian contexts. Effective digital marketing requires a holistic strategic framework
that integrates viral moments within sustained content ecosystems, adapts campaigns to the specific cultural
dynamics of each target market, leverages platform-specific affordances for audience engagement, and
incorporates advanced analytics to drive evidence-based strategic decision-making.
Cultural heterogeneity across Asian markets represents perhaps the most underappreciated strategic variable in
the existing marketing literature. The differences between Chinese, Malaysian, Indonesian, Singaporean, Indian,
and Japanese film audiences in terms of eWOM behavior, platform preference, cultural discount dynamics, and
collectivist consumer orientation demand that film marketers develop genuinely market-specific strategies rather
than applying uniform regional approaches.
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Several limitations of the present study must be acknowledged. First, the exclusive reliance on secondary
scholarly sources means that the study does not incorporate direct empirical evidence from industry practitioners,
film producers, marketing professionals, or platform data. The absence of primary industry data constrains the
study’s capacity to capture ground-level realities of viral marketing practice in specific Asian film industries and
limits the practical granularity of recommendations derived from the review. Second, while the study engages
literature from multiple Asian national contexts, the coverage is necessarily uneven, reflecting the distribution
of available English-language scholarship: Chinese, Malaysian, and Korean film markets are relatively well
documented in the sources reviewed, while markets such as Vietnamese, Thai, Filipino, and Japanese film
industries receive comparatively less attention, both in this study and in the broader English-language scholarly
literature. Third, the application of overarching thematic conclusions to the ‘Asian film industry’ as a whole
risks obscuring significant within-region variation in media infrastructure, consumer digital behavior, regulatory
environments, and cultural orientations. These limitations point toward a clear agenda for methodological
diversification in future research. Future research should address several gaps identified in this review. First,
empirical studies incorporating practitioner interviews, social media analytics data, and box office performance
metrics across specific Asian film markets would provide real-world validation of the theoretical insights
synthesized here, complementing and testing the secondary-source conclusions of this review. Second,
longitudinal case studies of Asian film marketing campaigns that have successfully sustained viral momentum
beyond opening weekend would illuminate the specific mechanisms through which producers convert viral
exposure into durable commercial outcomes. Third, comparative empirical analysis of the adoption and
effectiveness of AI-driven marketing tools across Chinese, Malaysian, Indian, Korean, and Indonesian film
industry contexts would enrich understanding of the institutional and cultural factors that mediate the benefits
of marketing technology. Fourth, reception studies incorporating audience data on eWOM behavior, platform
preference, and cultural discount perception across matched samples from at least three Asian national markets
would provide the country-level comparative empirical grounding that the current literature, and this review,
currently lacks.
ACKNOWLEDGEMENTS/FUNDING
The author would like to acknowledge the support of Universiti Teknologi MARA (UiTM), Shah Alam,
Selangor, Malaysia, for providing the facilities and institutional support for this research. This research
received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Conflict of Interest Statement
The author declares that this research was conducted in the absence of any commercial or financial
relationships that could be construed as a potential conflict of interest.
Authors’ Contributions
Syarul Azlina Sikandar: Conceptualization, methodology, investigation, formal analysis, data interpretation,
writing–original draft preparation, writing–review and editing, supervision, project administration, and final
approval of the manuscript.
About the Author
Syarul Azlina Sikandar, PhD, is an Associate Professor at the Faculty of Film, Theatre and Animation,
Universiti Teknologi MARA (UiTM), Malaysia. Her areas of expertise include arts management, performing
arts, arts marketing, cultural and creative industries, entertainment business, arts education, and digital media
studies. Her research focuses on the intersection of arts, culture, technology, audience development, cultural
entrepreneurship, and creative economy sustainability. She has published scholarly works on theatre, film,
digital performance, cultural marketing, and humanities-based education. E-mail:
syarul364@uitm.edu.my
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REFERENCES
1. Agarwal, P., Pathak, R. C., Singh, R., & Thakur, A. K. (2025). Technological emergence of
promotional strategies for commercialized Indian cinema: Industry 4.0 aspect. SN Computer Science.
https://doi.org/10.1007/s42979-025-03691-9
2. Ahmed, W., Fenton, A., Hardey, M., & Das, R. (2022). Binge watching and the role of social media
virality towards promoting Netflix's Squid Game. IIM Kozhikode Society and Management Review.
https://doi.org/10.1177/22779752221133206
3. AlAfnan, M. A. (2024). Social media personalities in Asia: Demographics, platform preferences, and
behavior based analysis. Studies in Media and Communication, 12(3).
https://doi.org/10.11114/smc.v12i3.7120
4. Amara, A. B. H., & Albinali, A. (2021). The effect of viral marketing using social media on small and
medium enterprise's brand awareness: Evidence from GCC market. Proceedings of the European
Conference on Innovation and Entrepreneurship, ECIE. https://doi.org/10.34190/EIE.21.019
5. Basri, W. S. (2023). Emotional dynamics in viral marketing: Unravelling the impact of content,
audience, platform, and timing. International Journal of eBusiness and eGovernment Studies, 15(2).
https://doi.org/10.34111/ijebeg.202315214
6. Berger, J. (2013). Contagious: Why things catch on. Simon & Schuster.
7. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research
Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027
8. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in
Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
9. Chiu, Y.-L., Chen, K.-H., Wang, J.-N., & Hsu, Y.-T. (2019). The impact of online movie word-of-
mouth on consumer choice: A comparison of American and Chinese consumers. International
Marketing Review, 36(6), 996–1025. https://doi.org/10.1108/IMR-08-2018-0245
10. Eckler, P., & Rodgers, S. (2010). Viral marketing on the internet. Wiley International Encyclopedia of
Marketing. https://doi.org/10.1002/9781444316568.wiem04055
11. Evans, D. (2012). Social media marketing: An hour a day (2nd ed.). John Wiley & Sons.
12. Frank, B., Abulaiti, G., & Enkawa, T. (2012). What characterizes Chinese consumer behavior? A cross-
industry analysis of the Chinese diaspora in Japan. Marketing Letters, 23(4), 1001–1013.
https://doi.org/10.1007/s11002-012-9189-9
13. Gladwell, M. (2000). The tipping point: How little things can make a big difference. Little, Brown and
Company.
14. Isa, N., & Nordin, N. Z. (2018). Social media advertising in Malaysia: The power of viral marketing.
International Journal of Business and Management Invention (IJBMI), 7(5), 74–78.
15. Jenkins, H. (2006). Convergence culture: Where old and new media collide. New York University
Press.
16. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of
social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
17. Kaplan, A. M., & Haenlein, M. (2011). Two hearts in three-quarter time: How to waltz the social
media/viral marketing dance. Business Horizons, 54(3), 253–263.
https://doi.org/10.1016/j.bushor.2011.01.006
18. Kaur, D., Kushwah, S., & Kumar, S. (2025). Viral marketing: A systematic literature review and future
research agenda. Marketing Intelligence and Planning. https://doi.org/10.1108/MIP-10-2024-0584
19. Kerrigan, F., Hart, A., & Barua, S. (2013). Film marketing. In The Routledge companion to arts
marketing. Routledge.
20. Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.
21. Kurniawan, B., & Rofiki, K. (2024). Peran media sosial dalam strategi pemasaran film: Pengaruhnya
terhadap kepuasan dan antusiasme penonton film. Jurnal Media Akademik (JMA), 2(7).
https://doi.org/10.62281
22. Lee, F. L. F. (2008). Hollywood movies in East Asia: Examining cultural discount and performance
predictability at the box office. Asian Journal of Communication, 18(2), 117–136.
https://doi.org/10.1080/01292980801938728
Page 1132
www.rsisinternational.org
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MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026
23. Lee, F. L. F. (2009). Cultural discount of cinematic achievement: The academy awards and U.S.
movies' East Asian box office. Journal of Cultural Economics, 33(4), 239–263.
https://doi.org/10.1007/s10824-009-9104-3
24. Li, S. S., Wang, S., & Lee, M. K. O. (2025). Unveiling viral marketing dynamics in online social
networks: Insights from China's otome games and explainable predictive modeling. Internet Research.
https://doi.org/10.1108/INTR-07-2024-0756
25. Madongo, C. T., Tang, Z., & Chiwaridzo, T. O. (2026). The recursive engagement economy of film
success: Social media eWOM, box office sustainability, and marketing efficiency in China. Sustainable
Futures. https://doi.org/10.1016/j.sftr.2026.100354
26. Maxwell, M. (2023). Amalan baik pengurusan strategik dalam penerbitan filem cereka di Malaysia:
Kajian kes filem Redha. The International Journal of Arts, Culture & Heritage (iJACH), 9, 107–139.
27. Mohamad Shaiful, P. S. H., Mohamed, S., & Saahar, S. (2019). Perceived effect of social media
marketing on Malaysian film audience. Proceedings of the 5th World Conference on Media and Mass
Communication, 5(1), 154–160. https://doi.org/10.17501/24246778.2019.5114
28. Mustika, P., Wiliam, A., Heliawanto, P. A., & Shaharudin, M. S. (2024). Understanding heritage
through e-WOM: Malacca, Malaysia. 2024 International Conference on Intelligent Cybernetics
Technology and Applications (ICICyTA 2024).
https://doi.org/10.1109/ICICyTA63482.2024.10850247
29. Puspanathan, C. A., Kia, K. K., & Ramendran SPR, C. (2022). Moviegoers in Malaysia: The mediating
effect of brand recall on product placement and purchase intentions. SEARCH Journal of Media and
Communication Research, 14(3), 1–23.
30. Rawat, U., & Prasad, R. (2015). Is viral marketing an effective and reliable method of advertising and
branding? A perspective of Gen-Y of India. 2015 International Conference on Advances in Computing,
Communications and Informatics (ICACCI 2015). https://doi.org/10.1109/ICACCI.2015.7275712
31. Sasaki, M., & Jung, S. (2006). Technology marketing in Asian culture. International Journal of
Technology Intelligence and Planning, 2(3), 220–235. https://doi.org/10.1504/IJTIP.2006.011649
32. Schumann, J. H., Wangenheim, F. V., Stringfellow, A., & Jiménez, F. R. (2010). Cross-cultural
differences in the effect of received word-of-mouth referral in relational service exchange. Journal of
International Marketing, 18(3), 62–80. https://doi.org/10.1509/jimk.18.3.62
33. Sharma, R. R., & Kaur, B. (2018). Modeling the elements and effects of global viral advertising
content: A cross-cultural framework. Vision, 22(1), 1–10. https://doi.org/10.1177/0972262917750918
34. Song, R., Moon, S., Chen, H. A., & Houston, M. B. (2018). When marketing strategy meets culture:
The role of culture in product evaluations. Journal of the Academy of Marketing Science, 46(3), 384–
402. https://doi.org/10.1007/s11747-017-0525-x
35. Stafford, T. F., & Duong, B. Q. (2023). Social media in emerging economies: A cross-cultural
comparison. IEEE Transactions on Computational Social Systems, 10(4).
https://doi.org/10.1109/TCSS.2023.3234567
36. Ting, H., de Run, E. C., Cheah, J.-H., & Chuah, F. (2016). Food neophobia and ethnic food
consumption intention: An extension of the theory of planned behaviour. British Food Journal, 118(11),
2781–2797. https://doi.org/10.1108/BFJ-04-2016-0152
37. TikTok for Business. (2024, September 3). From small screen to silver screen: TikTok's impact on
movie marketing. TikTok For Business Blog.
38. Wang, L. (2026). Evaluating the effects of influencer endorsements and cute branding narratives on
user engagement and sentiment. Proceedings of 2025 2nd International Conference on Digital
Economy and Computer Science (DECS 2025). https://doi.org/10.1145/3730823.3730886
39. Wang, X., Pan, H. R., Zhu, N., & Cai, S. (2020). East Asian films in the European market: The roles
of cultural distance and cultural specificity. International Marketing Review, 37(5), 897–918.
https://doi.org/10.1108/IMR-09-2019-0214
40. Wasko, J. (2003). How Hollywood works. SAGE Publications.
41. Wu, W., & Zou, J. (2025). Analysis of film and television symbols and communication strategies of
Chinese films in cross-cultural perspective. Communications in Computer and Information Science.
https://doi.org/10.1007/978-981-97-8941-0_20
Page 1133
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42. Ye, H., Binwei, L., & Starkey, G. (2018). Economic and cultural implications of China's One Belt One
Road initiative for the film industry: Cultural distance and taste preference. Australian Economic
Papers, 57(3), 338–353. https://doi.org/10.1111/1467-8454.12123
43. Yu, Y., & Liu, J. (2022). Optimizing film companies' marketing strategy using blockchain and recurrent
neural network model. Computational Intelligence and Neuroscience.
https://doi.org/10.1155/2022/4002543
