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The Impact of Digital Marketing Adoption on Industrial Buyer Behavior
in Manufacturing Firms
Vaivaw Kumar Singh
1
, Dr. Sandeep Nath Sahdeo
2
, Dr. Abhay Ranjan Srivastava
3
1
Research Scholar, Faculty of Business Management, Sarala Birla University, Ranchi, Jharkhand, India
2
Assistant Professor, Department of Management, Birla Institute of Technology, Mesra, Ranchi,
Jharkhand, India
3
Associate Professor, Department of Management, Birla Institute of Technology, Mesra, Ranchi,
Jharkhand, India
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150300046
Received: 23 March 2026; Accepted: 28 March 2026; Published: 10 April 2026
ABSTRACT
Digital technology has transformed the way manufacturing firms approach marketing. Industrial buyers no
longer search for suppliers as they once did. Now, they explore digital catalogs, examine company websites, and
depend on analytics-driven communication to obtain the information they require. This study examines how
digital marketing alters the behavior of industrial buyers where they seek information, how rapidly they make
decisions, what they value in a supplier, and how they assess value.
By using both surveys with procurement professionals and case studies of digitally advanced manufacturers, we
aimed for a clear understanding. The results are compelling. When manufacturing firms embrace digital
marketing such as SEO, robust web content, and digital catalogs buyers receive better technical information
quickly, and information gaps are reduced (Jarvinen & Taiminen, 2016). Digital channels allow buyers to
conduct their own research in advance which shortens decision times and makes the evaluation process more
efficient (Chaffey & Ellis-Chadwick, 2019).
However, it is not just a matter of speed. High-quality digital content builds trust. Buyers begin to view suppliers
as more credible, and that trust encourages them to make purchases and maintain long-term relationships (Tiago
& Verissimo, 2014). Nonetheless, not all buyers benefit equally. Those with greater digital literacy, or
organizations equipped for digital procurement, experience the greatest advantages.
By directly linking digital marketing adoption to changes in buyer behavior, this study adds a new dimension to
our understanding of B2B digitalization. For manufacturers, the message is clear: update your digital marketing
strategies to keep pace with the expectations of today’s industrial buyers.
Keywords: Digital marketing adoption; Industrial buyer behavior; Manufacturing firms; B2B marketing; Digital
transformation; Supplier evaluation.
INTRODUCTION
Digital technology is reshaping B2B markets, and nowhere is this more obvious than in manufacturing. Digital
communication tools, data analytics, and online information systems have completely changed how
manufacturers connect with industrial buyers. The old model which was built around relationships and sales reps
has given way to a process that’s all about information and digital engagement (Chaffey & Ellis-Chadwick,
2019). Now, buyers don’t need to wait for a sales pitch. They search for suppliers, compare options, and dig into
the details long before they ever reach out. This shift is turning traditional purchasing upside down (Järvinen &
Taiminen, 2016).
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Industrial buyer behavior has always been complicated, involving technical reviews, big financial commitments,
and multiple people weighing in (Webster & Wind, 1972). In the past, personal trust and long-term relationships
drove these decisions. But with marketing going digital specially for websites, search engines, social media,
online catalogs, and content marketing manufacturers can now shape buyer perceptions from the very start of
the journey (Kotler & Keller, 2016). Buyers have access to more information than ever before, which means
they control the process and make better-informed decisions.
Manufacturing is a prime example of this transformation because it deals with technical products, customized
solutions, and long procurement cycles. Buyers expect to find detailed specs, case studies, practical content, and
peer reviews online (Tiago & Veríssimo, 2014). If a manufacturer isn’t investing in digital marketing, it risks
falling behind. Digital channels help firms compete, attract better leads, and influence decisions in a market
that’s more transparent and more global than ever. Yet, while digital marketing’s impact on B2B markets is
clear, most research either focuses on consumer markets or sticks to high-level discussions about B2B
digitalization (Holliman & Rowley, 2014). There aren’t enough studies showing exactly how digital marketing
changes buyer behavior in manufacturing like how buyers search for information, how quickly they make
decisions, or what they value in a supplier (Lemon & Verhoef, 2016). This lack of data makes it tough for both
researchers and managers to understand the real effects of digital marketing investments. This study tackles that
gap head-on. It looks at how digital marketing adoption shapes industrial buyer behavior in manufacturing. By
drawing on industrial buying theory and digital marketing research, the study explores how digital tools influence
buyers at every stage of the purchase process. The main questions include:
How does digital marketing change the way industrial buyers search for and evaluate information
Does it speed up the decision cycle or change how buyers see supplier value
And do factors like a buyer’s digital literacy make a difference
Using a mixed-methods approach, this research offers concrete evidence about how digital marketing is affecting
real-world buyer behavior in manufacturing. For managers, the findings show how digital marketing strategies
can meet modern buyer expectations and work alongside traditional relationship-driven sales. In short,
manufacturing firms need to be smart and strategic with digital marketing if they want to stay relevant and win
over today’s industrial buyers.
LITERATURE REVIEW
Industrial Buyer Behavior in Manufacturing Markets
Industrial buyer behavior focuses on how organizations identify their needs, evaluate their alternatives, and make
purchasing decisions for use in production or operations. This differs from consumer buying. It is more formal,
involves multiple participants, includes more technical considerations, and carries a greater sense of risk
(Webster & Wind, 1972). In manufacturing, purchasing decisions are typically made by a group like a
combination of procurement managers, engineers, production managers, and senior executives. Each member
has their own priorities. Some prioritize price, others quality or how well a product integrates with existing
systems, while some are most concerned with reliability or after-sales support (Johnston & Lewin, 1996).
Research indicates that industrial buyers invest significant time in seeking information and evaluating
alternatives, primarily because these purchases are costly and strategically important (Sheth, 1973). Trust and
long-term supplier relationships are highly valued because they reduce uncertainty and encourage repeat
business (Morgan & Hunt, 1994). However, the environment is evolving. Digital information sources now
provide buyers with easier access to more suppliers and more independent information, shifting the dynamics of
the purchasing process.
Digital Marketing Adoption in B2B and Manufacturing Contexts
Digital marketing adoption refers to firms beginning to use digital tools such as websites, search engines, social
media, email marketing, digital advertising, content marketing and analytics in their marketing strategies
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(Chaffey & Ellis-Chadwick, 2019). In B2B and manufacturing, companies that adopt digital approaches achieve
greater visibility, interact more with customers, and generate leads more efficiently (Holliman & Rowley, 2014).
Manufacturers use digital channels to provide technical specifications, demonstrate product functionality, and
deliver valuable content such as white papers, webinars, or case studies (Järvinen & Taiminen, 2016). These
platforms enable suppliers to reach buyers early, even before direct contact with a sales representative. Research
consistently shows that this early digital engagement influences how buyers perceive a supplier’s competence,
credibility, and value (Kotler & Keller, 2016).
Digitalization and Changes in Buyer Information Search Behavior
Digital marketing has fundamentally transformed the way industrial buyers search for information. Digital
channels reduce search costs and expand access to information, allowing buyers to independently compare
suppliers worldwide (Bakos, 1997). Today, industrial buyers conduct much of the decision-making process
online. They use digital content to narrow down vendors and clarify their requirements before making contact
(Lemon & Verhoef, 2016).
This environment increases buyers’ bargaining power and autonomy by equalizing access to information
(Järvinen et al., 2012). However, the abundance of information brings the risk of overload. Therefore, content
must be high-quality, relevant, and credible otherwise, buyers may disengage or lose trust (Tiago & Veríssimo,
2014).
Impact of Digital Marketing on Evaluation and Decision-Making
Digital marketing tools not only change how buyers search; they also influence how buyers evaluate alternatives
and make final decisions. Tools such as product configurators, online demonstrations, and customer testimonials
help buyers assess product suitability and supplier reliability (Wiersema, 2013). Research shows that digital
touchpoints accelerate decision-making by allowing buyers to compare options directly and facilitating faster
team consensus (Court et al., 2009).
Digital engagement also enhances transparency and responsiveness, both of which are crucial in industrial
purchasing (Lemon & Verhoef, 2016). Suppliers who provide timely, detailed, and customized digital content
are perceived as knowledgeable and trustworthy, increasing their chances of winning business and establishing
long-term relationships (Morgan & Hunt, 1994).
Moderating Role of Buyer and Organizational Characteristics
Adoption of digital marketing has great potential to bring in more benefits, but it doesn't necessarily change the
buyers' behavior in the same way everywhere. Buyers' characteristics like digital literacy, previous online
purchasing experience, and an organization's readiness for digital change can moderate the success of digital
marketing initiatives (Venkatesh et al., 2012). Companies in the tightly regulated, conservative sectors may be
slow to change and still rely heavily on personal relationships.
Changing the organizational culture and improving the technological infrastructure can also influence the
perception and use of digital tools by industrial buyers (Rogers, 2003). Studies have shown that the highest effect
of digital marketing can be realized when it is combined with the traditional sales processes, resulting in a hybrid
engagement approach that not only enhances efficiency but also maintains the focus on relationship-building
(Homburg et al., 2020).
Research Gap and Conceptual Implications
The literature to date does point to digital marketing taking on an increasing role in B2B markets, but there is
still very little empirical research that has looked into how the adoption of digital marketing impacts different
aspects of industrial buyer behavior in the manufacturing sector. Supplier performance outcomes are the focus
of many studies rather than buyer-side behavioral changes (Jrvinen & Taiminen, 2016). This gap calls for a study
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that would systematically explore how digital marketing adoption influences the buyer's information search,
evaluation processes, decision-making efficiency, and perceived value.
The present study, by filling this gap, adds to the theory of industrial marketing by extending conventional buyer
behavior models to include digital touchpoints as key factors influencing purchasing behavior in manufacturing
contexts.
METHODOLOGY
Research Design
This study uses a mixed-methods design to explore how digital marketing shapes industrial buyer behavior in
manufacturing firms. With this approach, I can capture the numbers of actual changes in behavior and also dig
into the stories and perspectives behind those changes (Creswell & Plano Clark, 2018). By bringing together
survey results and real-life case examples, the research gets stronger and more convincing. Combining these
methods helps paint a more complete picture.
Sampling Strategy and Respondent Profile
For the quantitative side, I focus on industrial buyers and procurement professionals working in medium and
large manufacturing firms. I choose participants who play a direct role in purchasing decisions and who already
have some experience with suppliers’ digital marketing efforts. Buyers come from a range of manufacturing
subsectors include automotive components, industrial machinery, chemicals, electrical equipment so the findings
stretch across different corners of the industry (Hair et al., 2019).
On the qualitative side, I select four manufacturing firms, each at a different stage of digital marketing maturity.
Inside each company, I run semi-structured interviews with marketing managers, sales executives, and buyers
to get a mix of perspectives on how digital marketing influences purchasing.
Data Collection Procedures
Survey Instrument Development
The survey is built on well-established measurement scales from previous research on digital marketing and
industrial buying. It covers four main areas: company and respondent profiles, how much digital marketing they
use, specific buyer behavior dimensions, and their views on digital engagement outcomes. I measure digital
marketing adoption by asking about their use of websites, content marketing, SEO, email campaigns, social
media, and analytics-driven communication (Chaffey & Ellis-Chadwick, 2019). To assess industrial buyer
behavior, I use established constructs like how intensely buyers search for information, how efficiently they
evaluate suppliers, the length of their decision cycles, their perceived value of suppliers, and their purchase
intentions (Webster & Wind, 1972; Lemon & Verhoef, 2016). All these are rated on a five-point Likert scale,
from strongly disagree to strongly agree.
Qualitative Data Collection
To dig deeper into the survey results, I conduct semi-structured interviews. The questions focus on how buyers
interact with digital marketing, how digital channels factor into supplier evaluation, and how digital and personal
communication blend during the buying process. I record and transcribe each interview to keep the data accurate
(Yin, 2018).
Data Analysis Techniques
Quantitative Analysis
I analyze the quantitative data using statistical software. First, I use descriptive stats to summarize who responded
and how they use digital marketing. For reliability, I check multi-item constructs with Cronbach’s alpha, and I
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use exploratory factor analysis (EFA) to test construct validity (Hair et al., 2019). To test the hypotheses, I run
correlation and multiple regression analyses, examining how digital marketing adoption links to buyer behavior
outcomes.
To see if digital literacy changes these effects, I include interaction terms in the regression models, following
well-known moderation analysis steps (Baron & Kenny, 1986). I report statistical significance using standard
confidence levels.
Qualitative Analysis
For the qualitative data, I use thematic analysis. I code the interview transcripts, looking for recurring themes
around digital engagement, trust, and decision-making efficiency (Braun & Clarke, 2006). These insights help
explain the numbers, offering a richer sense of how digital marketing actually shapes buyer behavior.
Ethical Considerations
I address ethical issues at every stage. Participation is voluntary, and I assure all respondents that their
information stays confidential and anonymous. Before collecting data, I obtain informed consent, and I use the
data only for academic research, following established ethical guidelines for the social sciences (Creswell &
Plano Clark, 2018).
Hypotheses Development
When manufacturing firms embrace digital marketing, everything changes for industrial buyers. The way they
look up information, weigh their options, and build preferences for suppliers none of it stays the same. Drawing
on theories about how businesses buy and what digital marketing can really do, this study lays out a few key
ideas.
Digital Marketing Adoption and Information Search Efficiency
Think about the impact of things like SEO-friendly websites, technical blogs, webinars, and digital catalogs.
These digital tools give buyers the freedom to dig up product and supplier info on their own. They don’t have to
jump through hoops or spend as much time or money searching. Instead, they get to the right suppliers fast
(Bakos, 1997; Järvinen & Taiminen, 2016). When buyers find clear, detailed, and always up-to-date content,
comparing their options suddenly gets a lot easier.
H1: Digital marketing adoption boosts how efficiently industrial buyers search for information.
Digital Marketing Adoption and Evaluation Effectiveness
Buying decisions in industry aren’t simple because they involve lots of people and a mess of criteria. Digital
marketing steps in here, too. With interactive demos, technical documents, case studies, and real customer
testimonials, decision-makers inside firms get what they need to judge suppliers with confidence (Court et al.,
2009; Wiersema, 2013). These digital touchpoints bring clarity and help buyers see which suppliers actually fit
their operational needs.
H2: Digital marketing adoption makes supplier evaluation more effective for industrial buyers.
Digital Marketing Adoption and Decision Cycle Duration
Research shows that digital engagement lets buyers get most of the way through the buying process before they
ever talk to sales (Lemon & Verhoef, 2016). When buyers can access information early, they don’t drag out the
internal back-and-forth or approval steps. The end result shows quicker decisions.
H3: Digital marketing adoption shortens the industrial buying decision cycle.
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Digital Marketing Adoption and Perceived Supplier Value
How buyers see a supplier like their trustworthiness, expertise, and ability to meet long-term needs shapes every
purchase. Consistent, high-quality digital communication builds trust and signals real professionalism, nudging
buyers closer to buying and building lasting relationships (Morgan & Hunt, 1994; Tiago & Veríssimo, 2014).
H4: Digital marketing adoption raises industrial buyers’ perceptions of supplier value.
Moderating Role of Buyer Digital Literacy
All these benefits depend on something important: buyer digital literacy. Buyers who know how to navigate
digital tools, who actually use online content and analytics, get far more out of digital marketing (Venkatesh et
al., 2012).
H5: Buyer digital literacy strengthens the link between digital marketing adoption and positive outcomes
in industrial buyer behavior.
ANALYSIS AND RESULTS
Descriptive Statistics
Table 1 presents the main variables of the study. Most respondents report experiencing a fair amount or even a
lot of exposure to engage with digital marketing.
Table 1: Descriptive Statistics
Variable
Mean
Standard Deviation
Digital Marketing Adoption
3.84
0.72
Information Search Efficiency
3.91
0.68
Evaluation Effectiveness
3.76
0.71
Decision Cycle Duration*
2.94
0.65
Perceived Supplier Value
3.88
0.69
Buyer Digital Literacy
4.02
0.63
*Lower scores indicate shorter decision cycles.
Reliability and Validity Analysis
Cronbach’s alpha is used here to measure internal consistency, and all constructs surpass the 0.70 threshold. This
indicates solid reliability (Hair et al., 2019).
Table 2: Reliability Analysis
Construct
Cronbach’s Alpha
Digital Marketing Adoption
0.87
Information Search Efficiency
0.82
Evaluation Effectiveness
0.84
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Perceived Supplier Value
0.86
Buyer Digital Literacy
0.80
An exploratory factor analysis assesses construct validity. All factor loadings are above 0.60, and there are no
major cross-loadings to be concerned about.
Correlation Analysis
Pearson correlation coefficients reveal clear and strong relationships between digital marketing adoption and
various aspects of buyer behavior.
Table 3: Correlation Matrix
Variable
1
3
4
5
1. Digital Marketing Adoption
1.00
2. Info Search Efficiency
0.68**
3. Evaluation Effectiveness
0.62**
1.00
4. Decision Cycle Duration
-0.45*
-0.38*
1.00
5. Supplier Value
0.70**
0.66**
-0.42*
1.00
p < 0.05, ** p < 0.01
Regression Analysis and Hypothesis Testing
Multiple regression analysis is used to test the main hypotheses. The model controls for firm size and buyer
experience.
Table 4: Regression Results
Dependent Variable
Predictor
β
t-value
Result
Information Search Efficiency
Digital Marketing Adoption
0.52**
6.41
H1 Supported
Evaluation Effectiveness
Digital Marketing Adoption
0.47**
5.89
H2 Supported
Decision Cycle Duration
Digital Marketing Adoption
-0.45*
-4.26
H3 Supported
Perceived Supplier Value
Digital Marketing Adoption
0.58**
7.12
H4 Supported
The moderation analysis is notable. There is a significant interaction between digital marketing adoption and
buyer digital literacy, supporting H5.
Summary of Results
The data clearly show that digital marketing adoption significantly influences industrial buyer behavior. Buyers
who are more exposed to digital marketing find information faster, evaluate suppliers more effectively, make
quicker decisions, and perceive greater value. Higher digital literacy among buyers further strengthens these
effects. It is a clear reminder that digital strategies are most effective when they align with buyers' capabilities.
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DISCUSSION
This study set out to explore how digital marketing adoption shapes industrial buyer behavior in manufacturing
firms. Drawing on both industrial buying behavior theory and frameworks for digital marketing adoption, the
research digs into how B2B purchasing is evolving in today’s digital landscape. The evidence backs the proposed
hypotheses and delivers new insights for both theory and practice.
The results line up with the classic models from Webster and Wind (1972) and Sheth (1973): information
gathering and evaluation still sit at the heart of industrial buying decisions. But there’s a twist. The data shows
digital marketing adoption turbocharges information search efficiency. Digital tools cut search costs and make
information easier to get. This fits with transaction cost economics and tech advances drop the costs of finding
and coordinating with suppliers (Bakos, 1997). In other words, digital touchpoints have moved from being nice-
to-have add-ons to becoming central sources of information right at the start of the buying process.
Digital marketing doesn’t just help buyers find information but it also sharpens their evaluations. This matches
up with decision-making and information processing theories: solid, structured information boosts the quality of
judgments under uncertainty (Court et al., 2009). Interactive content, technical documents, and real-world case
studies help buying teams weigh their options more systematically, build internal agreement, and cut down on
confusion. At the same time, relationship marketing theory gets a boost. Transparency and quick responses
through digital channels build trust and show competence, even before buyers and sellers ever meet face to face
(Morgan & Hunt, 1994).
One striking finding: digital marketing adoption actually shortens decision cycles. Digitalization speeds up
organizational decisions. Following customer journey theory (Lemon & Verhoef, 2016), buyers now handle
much of the purchasing process on their own through online mode. They define their needs, narrow down
suppliers, and come to the table far more prepared. This runs counter to the old idea that industrial buying is
always slow and driven by close relationships. Digital marketing compresses timelines but keeps decision quality
intact.
The study also finds that digital marketing boosts perceived supplier value. This fits signaling theory i.e firms
show off their quality and credibility through visible actions and investments (Wiersema, 2013). High-quality
digital materials signal tech savvy and a customer-focused mindset, which reassures buyers about a supplier’s
long-term strength. Notably, buyer digital literacy matters here. The more comfortable buyers feel with digital
tools, the more effective digital marketing becomes. This lines up with technology acceptance models, which
stress the importance of ease of use and user skills (Venkatesh et al., 2012). It’s a reminder that digital
marketing’s power depends on the buyer, not just the seller.
In the end, digital marketing doesn’t push out traditional relationship-based selling in manufacturing. Instead, it
complements it by reshaping how buyers behave early on and laying a stronger foundation for future
relationships. By bringing digital marketing adoption into the center of industrial buyer behavior theory, this
study helps explain how technology is rewriting the rules of B2B purchasing.
Limitations and Future Research Directions
Every study moves the conversation forward, but none are perfect and this one’s no exception. First off, we used
a cross-sectional design. That means we looked at things at one point in time, so we can’t really say digital
marketing causes changes in how industrial buyers behave. To get at cause and effect, future work needs to track
firms and buyers over time and see what shifts as companies ramp up their digital marketing and as buyers get
savvier.
Second, our data comes from self-reported surveys. People don’t always remember or report things accurately,
even when you try to guard against bias. Next time, researchers should bring in more objective data i.e think
digital analytics, procurement records, or transaction logs. These add a layer of reality and help confirm what
people say about their own behavior.
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Third, our sample leans heavily on buyers from medium and large manufacturers who already use a fair bit of
digital marketing. Because of that, our findings might not fit smaller manufacturers or those in sectors where
digital adoption lags. Researchers should dig into those differences and compare across industries, firm sizes,
and digital maturity levels to see where these patterns hold and where they don’t.
Fourth, we focused mainly on what buyers do, not what happens to suppliers. We didn’t model supplier
performance or financial outcomes. There’s a lot more to explore here i.e how does shifting buyer behavior
affect the supplier’s bottom line, customer value, or the longevity of business relationships.
And there’s more: we only looked at buyer digital literacy as a moderating factor. But plenty of other things like
organizational culture, regulations, tech infrastructure also shape how well digital marketing works. Future
studies should use advanced methods like SEM or multi-level modeling to dig into these complex layers.
Tackling these gaps will move us closer to a real understanding of digital marketing’s strategic impact on
industrial markets. The more nuanced and context-aware our models become, the better we’ll grasp what actually
drives industrial buyer behavior in a digital world.
CONCLUSION
This study digs deep into how digital marketing changes the way industrial buyers behave in manufacturing
firms. It doesn’t just add to theory but it also brings practical insights managers can use. By looking at real-world
data, the research shows how digital marketing shapes essential parts of the industrial buying process: buyers
find information faster, judge options more effectively, make decisions quicker, and see more value in suppliers.
Digital marketing isn’t just a side tool anymore; it’s become a core way manufacturing firms steer buyer
decisions in today’s B2B world.
The data pushes classic theories forward. Now, digital touchpoints dominate the early and middle stages of
purchasing. When firms adopt digital marketing, buyers don’t face the same information gaps instead they search
and compare with less effort, and drive their own, data-based decisions. This shift doesn’t wipe out the need for
old-school, relationship-based selling. Instead, digital tools build trust and credibility before the sales team even
steps in. Still, how well digital marketing works depends on how tech-savvy the buyers are. Buyer digital literacy
shapes the impact, so results vary depending on how ready buyers are for a digital approach.
For managers, the takeaway is clear: digital marketing isn’t just for promotion. It’s a strategic asset. It shapes
how buyers see your firm, speeds up their decisions, and deepens long-term relationships. Manufacturing firms
that invest in strong digital content, use analytics to engage buyers, and connect their online and offline strategies
stand out. They’re better able to meet what industrial buyers now expect and they keep their edge.
As manufacturing keeps moving further into the digital age, knowing how digital marketing changes buyer
behavior only gets more important. This study adds solid evidence to the B2B digitalization conversation,
showing that digital marketing is now a main driver behind changes in industrial buyer behavior. It’s redefining
how value gets communicated, evaluated, and delivered in manufacturing relationships.
REFERENCES
1. Bakos, J. Y. (1997). Reducing buyer search costs: Implications for electronic marketplaces. Management
Science, 43(12), 16761692.
https://doi.org/10.1287/mnsc.43.12.1676
2. Baron, R. M., & Kenny, D. A. (1986). The moderatormediator variable distinction in social
psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and
Social Psychology, 51(6), 11731182.
https://doi.org/10.1037/0022-3514.51.6.1173
3. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in
Psychology, 3(2), 77101. https://doi.org/10.1191/1478088706qp063oa
4. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: Strategy, implementation and practice (7th
ed.). Pearson Education.
Page 578
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5. Court, D., Elzinga, D., Mulder, S., & Vetvik, O. J. (2009). The consumer decision journey. McKinsey
Quarterly, 3, 96107.
6. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd
ed.). SAGE Publications.
7. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.).
Cengage Learning.
8. Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: Marketers’
perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269293.
https://doi.org/10.1108/JRIM-02-2014-0013
9. Homburg, C., Vomberg, A., Enke, M., & Grimm, P. H. (2020). The loss of the sales force? Digitalization
and the future of B2B sales. Journal of the Academy of Marketing Science, 48(1), 1642.
https://doi.org/10.1007/s11747-019-00693-8
10. Järvinen, J., & Taiminen, H. (2016). Harnessing marketing automation for B2B content marketing.
Industrial Marketing Management, 54, 164175.
https://doi.org/10.1016/j.indmarman.2015.07.002
11. Järvinen, J., Tollinen, A., Karjaluoto, H., & Jayawardhena, C. (2012). Digital and social media marketing
usage in B2B industrial section. Marketing Management Journal, 22(2), 102117.
12. Johnston, W. J., & Lewin, J. E. (1996). Organizational buying behavior: Toward an integrative
framework. Journal of Business Research, 35(1), 115.
https://doi.org/10.1016/0148-2963(95)00026-0
13. Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.
14. Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer
journey. Journal of Marketing, 80(6), 6996. https://doi.org/10.1509/jm.15.0420
15. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal
of Marketing, 58(3), 2038.
https://doi.org/10.1177/002224299405800302
16. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
17. Sheth, J. N. (1973). A model of industrial buyer behavior. Journal of Marketing, 37(4), 5056.
https://doi.org/10.1177/002224297303700408
18. Tiago, M. T. P. M. B., & Veríssimo, J. M. C. (2014). Digital marketing and social media: Why bother?
Business Horizons, 57(6), 703708.
https://doi.org/10.1016/j.bushor.2014.07.002
19. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information
technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1),
157178.
20. Webster, F. E., & Wind, Y. (1972). A general model for understanding organizational buying behavior.
Journal of Marketing, 36(2), 1219.
https://doi.org/10.1177/002224297203600204
21. Wiersema, F. (2013). The B2B agenda: The current state of B2B marketing and a look ahead. Industrial
Marketing Management, 42(4), 470488.
https://doi.org/10.1016/j.indmarman.2013.03.003
22. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE
Publications.