Next Article in Journal
Multi-Objective Scheduling Method for Integrated Energy System Containing CCS+P2G System Using Q-Learning Adaptive Mutation Black-Winged Kite Algorithm
Next Article in Special Issue
Data-Driven Insights into Consumer Satisfaction in E-Learning: Implications for Sustainable Digital Marketing
Previous Article in Journal
Challenges of Sustainable Water Management in a Heavily Industrialized Urban Basin, Case of Bytomka River, Poland
Previous Article in Special Issue
Multi-Source Data-Driven Personalized Recommendation and Decision-Making for Automobile Products Based on Basic Uncertain Information Order Weighted Average Operator
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Variety-Seeking Shopping Behaviours in the Age of Green Content Marketing, Affiliate Marketing, and Shopping Motives: An Agenda for Future Research Using a TCCM Approach

by
Valavadra Sahu
1,
Honorata Barbara Howaniec
2,*,
Saroj Kumar Sahoo
1,
Simran Babu
1 and
Grzegorz Biesok
3
1
Department of Business Administration, Sambalpur University, Jyoti Vihar, Burla, Sambalpur 768019, Odisha, India
2
Department of Marketing and Entrepreneurship, University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biala, Poland
3
Department of Management, University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biala, Poland
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(13), 5708; https://doi.org/10.3390/su17135708
Submission received: 8 May 2025 / Revised: 19 June 2025 / Accepted: 20 June 2025 / Published: 20 June 2025
(This article belongs to the Special Issue Sustainable Marketing: Consumer Behavior in the Age of Data Analytics)

Abstract

In the evolving digital marketplace, consumer behaviour is increasingly shaped by green marketing strategies, particularly in the context of sustainable consumption. This study aims to examine the mechanisms through which green content marketing and green affiliate marketing influence green variety-seeking shopping behaviours, with particular attention to the role of green shopping motives and the effectiveness of marketing strategies. As traditional retail methods face limitations, digital marketing channels provide new avenues to engage consumers through personalized and dynamic content. Using the Theory–Context–Characteristics–Methodology (TCCM) framework, this research systematically examines the existing literature to identify key theories, contexts, characteristics, and methodologies relevant to variety-seeking behaviours towards green products. The study explores the psychological and behavioural drivers behind shopping choices, offering insights into why consumers exhibit variety-seeking behaviour when purchasing green products. The results indicate that effective green content and affiliate marketing drive variety-seeking behaviour in green shopping, with consumer motives serving as a key mediating factor. The conceptual model developed in this study provides a structured understanding of how modern marketing strategies shape consumer preferences and engagement with green products. This study offers a future research agenda and practical implications for marketers and retailers. By understanding these influences, businesses can refine their marketing strategies to strengthen green shopping motives, encourage sustainable consumption over traditional consumption, and adapt to the dynamic retail landscape.

1. Introduction

The worsening global energy crisis and environmental concerns have brought sustainable consumption into sharp focus, making the demand for ‘green’ products a key topic of interest among businesses and consumers alike [1,2]. Green content marketing and affiliate marketing have emerged as pivotal strategies in promoting eco-friendly products and sustainable practices [3,4,5]. As consumer awareness of environmental issues grows, brands leverage green content to communicate their commitment to sustainability [6,7,8], while affiliate partnerships help expand the reach of eco-conscious products, enhancing brand trust and reputation [9,10,11,12] through strategic partnerships that drive traffic and conversions. Furthermore, green affiliate marketing enhances the impact of content marketing by facilitating collaborations between brands and digital content creators, leveraging influencer credibility to boost consumer trust [13,14,15]. Key factors influencing green affiliate marketing include commission structures, affiliate partnerships, traffic generation strategies, and promotional incentives [16,17,18]. This effective content plays a crucial role in shaping consumer decisions, with studies showing that 73% of consumers are willing to pay a premium for environmentally friendly products [19].
Today’s fast-paced digital landscape is pushing organizations towards adopting innovative digital strategies to remain competitive. The internet has revolutionized global commerce, enabling businesses, especially e-retailers, to connect with a worldwide customer base through faster, more reliable transactions. Consequently, digital content has become a vital tool for attracting, engaging, and retaining consumers [20,21]. Content marketing comes into play here, gaining prominence as a strategic approach to fostering long-term customer engagement. Unlike conventional marketing, which prioritizes immediate sales, content marketing focuses on delivering valuable and relevant digital materials to build lasting relationships with consumers [22]. The ‘use and gratification’ (U&G) theory underscores the effectiveness of content marketing, suggesting that consumer engagement is driven by digital media’s ability to fulfil user needs [23]. Furthermore, user-generated content such as images, videos, and testimonials has proven to enhance customer interaction and online sales [24]. Studies indicate that consumers favour educational and entertaining content over disruptive, sales-driven advertisements [25].
Another pivotal strategy in promoting greenness and sustainability is affiliate marketing, which plays a crucial role in driving green shopping [6]. This performance-based model allows advertisers and affiliates to collaborate, with affiliates earning commissions based on successful transactions [26], which minimizes financial risk for advertisers by ensuring payment [27]. Moreover, by simplifying tracking and streamlining payment processes, affiliate marketing has established itself as a sustainable and scalable e-commerce strategy [26]. The integration of content marketing and affiliate marketing can create a powerful synergy, enabling businesses to engage audiences through personalized, value-driven content tailored to specific target audiences. This helps brands establish stronger connections with consumers across diverse platforms by focusing on high-quality, consumer-centric content [28]. Engagement with content encourages consumers to seek out brands, fostering deeper engagement and loyalty [29]. Therefore, it is urgent to assess the effectiveness of content and affiliate marketing strategies in relation to variety-seeking behaviours, which refer to consumers’ inclination to explore and experiment with new products, particularly green products, where shopping motives play a significant role in shaping green variety-seeking behaviours.
This study aims to examine the role of green content marketing and green affiliate marketing as key activities driving green diversity-seeking behaviour. The above-mentioned antecedents of variety-seeking behaviour are drawing the attention of researchers and practitioners across the globe, making it an urgent phenomenon to be examined. By exploring these relationships, the research contributes to a deeper understanding of how modern marketing strategies can effectively engage green-conscious consumers and build their motives differently towards green products in an increasingly dynamic marketplace.
The above research context led to the formulation of the following research problem: “Does the level of green variety-seeking shopping behaviours of consumers stem from a certain level of effective marketing and buying motives?”
In order to achieve the adopted study objective, five research questions are identified in the study, which the authors will try to answer:
RQ1: What are the key theoretical foundations that explain the relationship between effective green marketing strategies and variety-seeking behaviours towards green products?
RQ2: How do content marketing and affiliate marketing drive variety-seeking shopping behaviours of consumers towards green products?
RQ3: Do shopping motives (both online and in-store) mediate the relationship between effective green marketing strategies and green variety-seeking shopping behaviours?
RQ4: What are the contextual factors (such as culture, environmental awareness, or technology adoption) that influence effective green content marketing, affiliate marketing, and shopping motives?
RQ5: What are the implications of the relationships among green content marketing, affiliate marketing, shopping motives, and variety-seeking behaviour for green products?
The article consists of six main sections. The Introduction presents the research problem and objectives. The Literature Review discusses theories and previous research on green marketing and consumer behaviour. The Methodological Section describes the research methods used. The results presented in the paper present empirical data in four categories (theories, trends, characteristics, and approaches). In the Discussion Section, the authors present key empirical patterns and theoretical and managerial implications, also directly addressing the research questions posed. The paper also presents identified research gaps that indicate areas for further research. The paper ends with conclusions that summarize the key findings and their practical significance.

2. Literature Review

2.1. The Role of Green Content Marketing and Green Affiliate Marketing in Shaping Eco-Conscious Consumer Behaviours

Green content marketing (also called environmental content marketing) involves the strategic creation and dissemination of digital content to engage target audiences and enhance brand visibility, while green affiliate marketing focuses on collaborative partnerships that drive traffic and sales through performance-based incentives [30]. High-quality content with strong inbound links significantly boosts SEO rankings, increasing visibility and credibility. Social media platforms serve as major distribution channels, enabling brands to educate, inform, and engage consumers through interactive content [31]. Effective content marketing strategies emphasize brand storytelling, emotional connections, and personalized interactions to foster long-term relationships with eco-conscious consumers [32]. Affiliate marketing in the green product sector operates through various collaborative models that connect traditional and e-businesses with content creators and influencers. By leveraging performance-based models, brands can maximize outreach while minimizing financial risks, ensuring cost-effective marketing efforts. Consumers are increasingly turning to online shopping due to its convenience, accessibility, and broader product selection [33]. It also provides a wider selection of products from various brands and sellers, offering more variety in sizes, colours, and styles [34]. Motivation is central to customer behaviour [35] and plays a key role in retail marketing [36]. Further, Kim et al. (2009) identified motives such as anticipated utility, affiliation, and decision optimization [37]. Other studies categorize motives into service, economic, and social reasons. The effectiveness of green content marketing in driving variety-seeking behaviours lies in its ability to provide diverse, engaging, and informative content that attracts consumers who seek novelty and experimentation. By continuously introducing new product information and sustainability narratives, brands encourage consumers to explore different green product alternatives [38]. The vast amount of online content fosters higher exploratory shopping tendencies, as consumers encounter an abundance of product options and persuasive messaging [39]. Similarly, green affiliate marketing enhances variety-seeking shopping behaviours by exposing consumers to a wider range of products and brands across affiliate networks [26]. Affiliate marketers strategically position eco-friendly products through blogs, reviews, and recommendations, increasing the likelihood of consumer engagement and product trials. Moreover, studies suggest that digital marketing variables—including causal and mediating factors—can act as stimulants in boosting green brand recognition and competitive advantage [40].
Overall, both green content marketing and green affiliate marketing play integral roles in shaping consumer behaviours, increasing product exposure, and encouraging variety-seeking tendencies in the eco-friendly marketplace.

2.2. The Relationship Between Green Content Marketing, Green Affiliate Marketing, and Effective Marketing

Green content marketing and green affiliate marketing complement each other to foster active customer engagement and influence consumer behaviours. Content marketing focuses on creating and distributing relevant, high-quality information to attract and engage target audiences [41]. Furthermore, content marketing plays a crucial role in building long-term customer relationships and trust by providing valuable, educational, and entertaining material that aligns with consumer preferences [42], where psychological factors play an important role in consumer engagement with green content marketing. For example, the fear of missing out (FoMO), a psychological trigger amplified through content marketing, can motivate consumers to explore new options and stay updated with trends [43]. These strategies contribute to an “active marketing” approach, where businesses enhance consumer engagement through gamification, personalized recommendations, and social-media promotions, ultimately stimulating variety-seeking behaviours [27], even if electronic word-of-mouth (E-WoM) moderates the relationship between content marketing and green purchase intentions [44]. Moreover, eco-friendly, entertainment-oriented relevant information leads to stronger brand attitude and purchase intent than non-green content, which varies culturally, highlighting the need for tailored green marketing [45]. This is further supported by the performance-based compensation model of affiliate marketing that allows businesses to minimize financial risk and maximize brand exposure through third-party endorsements [26], where social pressure, moral obligations, and self-identity significantly influence green purchase intentions [46]. Thus, the purchase expenditures of retailer’s loyalty reward members become higher, and over time, consumers are more likely to respond to messages related to healthy benefits than to those related to price [47]. Thereby, consumers act as content co-creators and support using articles and news releases over ads on social media [48] in the green marketing context.
However, affiliate marketers earn commissions by targeting high-loss and vulnerable individuals, which conflicts with harm-reduction goals and involves deceptive tactics where weak regulation, industry scale, and hidden marketing limit oversight and prevention [49]. These unintended consequences significantly influence the evolution of affiliate marketing and should not be overlooked [50], as expanding exposure to green products and encouraging exploratory purchases through social influence boost green purchase intentions. That means, in either way, content marketing and affiliate marketing form a certain level of effective marketing, because the synergy of these two strategies strengthens consumer–brand relationships, drives engagement, and fosters sustainable consumption.

2.3. The Relationship Between Effective Marketing and Variety-Seeking Shopping Behaviours

The internet has emerged as a crucial platform for both networking and commercial transactions, offering consumers unprecedented ease in locating, comparing, and personalizing products. Online shopping has gained popularity due to its ability to eliminate common obstacles of in-store shopping, such as crowding, traffic, and parking limitations [51]. However, hedonic shoppers seek happiness, stress relief, and trends, while utilitarian shoppers prefer traditional markets for quick purchases and lower costs [52]. Both hedonic and utilitarian factors are important predictors of multichannel shopping, where hedonic motivations have more explanatory power for high-level multichannel shopping than for moderate-level multichannel shopping, as compared to non-multichannel shopping [53]. As monetary and nonmonetary promotions offer varying levels of hedonic and utilitarian benefits, impulsive shoppers are price-oriented, while perfectionist and brand-conscious shoppers are advertising-oriented [54]. For high-equity brands, monetary promotions are more effective for utilitarian products than hedonic ones [55]. Furthermore, money savings impact satisfaction, while time and effort savings have no effect on cross-channel shopping satisfaction, which holds true across motivations and product categories [56], creating “smart shoppers.” Additionally, across generations (Gen Z and Gen Y), internet shoppers respond positively to the motivational and attitudinal aspects of online shopping [57]. This behaviour is often influenced by a desire for distinctiveness, where consumers use product choices to express individuality and explore new experiences [58], leading to variety-seeking shopping behaviour.
In the context of green consumerism, willingness to pay and personal norms are identified as predictors of green purchasing behaviours, while attitude has an insignificant direct impact [59]. Consumers’ high level of awareness regarding green marketing practices and products, combined with strong environmental values, significantly influences their preference for green products over conventional alternatives [60]. Campaigns that emphasize peer experiences and dynamic customer interactions can reinforce perceptions of variety, encouraging marketers to use personalized recommendations, interactive displays, and limited-time promotions to boost variety-seeking [61]. Moreover, digital strategies, especially influencer endorsements and interactive social media campaigns, enhance customer engagement and trust [62]. Consumers with less product knowledge are more likely to experiment with new options compared to those who stick with familiar brands [63]. Thus, the aforementioned strategies not only cater to consumers’ need for uniqueness but also enhance their willingness to engage with unfamiliar products [64], shaping variety-seeking tendencies. This makes it an essential area for continued research in consumer behaviours and marketing strategy.

2.4. The Effect of Effective Marketing and Shopping Motives on Variety-Seeking Shopping Behaviours

Effective marketing plays a crucial role in shaping shopping motives and influencing variety-seeking shopping behaviours, particularly in the context of green products. Consumers with high environmental concerns are more likely to support and choose green products, showing a readiness to pay a premium price [65]. This can be enhanced by various green marketing strategies, such as the implementation of closed-loop supply chains, reverse logistics, and eco-labelling [66]. Additionally, cultural influences, particularly collectivism and long-term orientation, significantly impact green purchasing behaviours, while gender moderates the relationship between these determinants and purchase intention [67]. However, much of what is considered “green marketing” often lacks a strong marketing or environmental foundation, leading to misleading strategies such as green spinning, green selling, and compliance marketing [68].
In the context of online shopping, e-commerce platforms capitalize on consumer motivations like escapism, uniqueness, and social engagement to encourage exploratory shopping [69]. Shopping motives like variety-seeking, anonymity, avoiding social interaction, and positive shopping feelings are positively linked to compulsive online buying tendencies [70]. These shopping motivations vary by product type and channel, where online shoppers seek variety, deals, delivery convenience, and gratification [71]. Social media contributes pivotal ingredients for establishing consumer motivation, which, along with subjective norms, play an essential role in positive green purchase intention [72]. Additionally, both utilitarian motivations, influenced by information availability and customized offerings, and hedonic motivation, influenced by adventure, authority, and status, affect purchase intention for green products [73].
Therefore, the alignment of marketing strategies with shopping motives is essential for influencing consumer preferences, brand loyalty, and variety-seeking behaviours by enhancing consumer engagement and product exploration. This can be further enhanced by personalized content marketing that fosters trust and familiarity, reducing variety-seeking tendencies as consumers become more comfortable with recommended products [74]. Simultaneously, affiliate marketing appeals to novelty-seeking consumers by introducing them to a wider range of products and brands, increasing their likelihood of switching brands [75]. Variety-seeking increases when consumers are engaged in self-presentational activities, which heighten their personal identity concerns and encourage them to explore different options [76].
Moreover, consumers demonstrating “fashion-hunting,” “variety-seeking,” “status/recognition-seeking,” and “deal-hunting” behaviours in online shopping make better and more informed purchase decisions based on prior online research and user-generated content shared on social media, portraying the true characteristics of “digital natives” [77,78]. However, it is found that the existence of switching barriers in online shopping lies in technological ease of use, time efficiency, convenience, and variety seeking, and not in consumers’ dissatisfaction [79]. To further the discussion, according to Zaharia (2019), buyers and non-buyers of online retail segments differ with respect to both recreational motives and price orientation, where privacy-related risk aversion does not differentiate buyers from non-buyers of any online retail segment in the context of shopping motives [80].
Therefore, understanding the interplay between effective marketing, shopping motives, and variety-seeking behaviours highlights the need of the hour for both researchers and practitioners. Brands leverage both content-driven engagement and affiliate networks to balance familiarity and novelty, ultimately shaping consumers’ decision-making with green products.

3. Materials and Methods

This study adopts a systematic literature review (SLR) approach using the TCCM framework to analyze and synthesize existing research on green variety-seeking shopping behaviours in the context of green content marketing and green affiliate marketing. Systematic literature reviews have an advantage over traditional literature reviews regarding the identification of all relevant studies addressing any specific research question and their methodology, eliminating data extraction biases [81,82,83]. Drawing on an extensive literature review, the study synthesizes prior knowledge to define the research problem and frame research objectives. The TCCM framework enables a structured review by categorizing prior studies based on the theories applied, research contexts, key characteristics, and methodologies employed. This approach provides a comprehensive understanding of the field and helps identify research gaps.
To ensure rigour and relevance, the study follows a five-step process for literature selection:
Database Selection: Articles were retrieved from Scopus, Web of Science, Google Scholar, and ScienceDirect, focusing on high-impact journals.
Keyword Strategy: The search used terms such as “Green marketing,” “Green content marketing,” “Green affiliate marketing,” “Online shopping motives,” “Offline shopping motives,” and “Green variety-seeking behaviours”.
Inclusion and Exclusion Criteria: Only peer-reviewed journal articles and conference proceedings published between 2000 and 2024 in the English language were considered. Studies not under the coverage of “management”, “social science”, and “behavioural science”, were excluded. Studies unrelated to green consumer behaviours or lacking adequate evidence were excluded (Figure 1).
Screening and Filtering: Titles, abstracts, and full texts were reviewed for relevance and methodological rigour.
Final Selection: A refined set of 57 studies was analyzed using the TCCM framework.
The selected studies were categorized as follows:
Theories (T): We examined the theoretical foundations underpinning green variety-seeking behaviours, such as Self-Determination Theory (SDT), a comprehensive theory of human motivation developed by Richard M. Ryan and Edward L. Deci. It emphasizes that people are naturally inclined toward growth, integration, and well-being, and that motivation varies in quality—not just quantity. SDT identifies three basic psychological needs that are essential for psychological growth and well-being: autonomy—the need to feel in control of one’s own behaviour and goals; competence—the need to gain mastery of tasks and learn different skills; and relatedness—the need to feel a sense of belonging and attachment to others. When these needs are satisfied, individuals experience more intrinsic motivation, better performance, and greater psychological health. When thwarted, motivation becomes more controlled and less effective [84]. Further, the Stimulus–Organism–Response (SOR) model is a psychological framework that extends the classic behaviourist Stimulus–Response (S-R) model by introducing the organism as a mediating factor. Originally proposed by Woodworth (1918), the model suggests that a stimulus (S) from the environment affects the organism (O), which includes internal processes such as perception, emotion, cognition, and motivation. These internal processes then lead to a response (R)—a behavioural outcome. This model emphasizes that responses are not automatic reactions to stimuli but are shaped by the organism’s internal state, making it especially useful in fields like consumer behaviour, psychology, and tourism [85]. Finally, the Theory of Planned Behaviours (TPB) is a psychological theory developed by Icek Ajzen in 1985 as an extension of the Theory of Reasoned Action. The TPB posits that behavioural intentions are the most immediate predictors of behaviour, and these intentions are shaped by three key factors: attitudes toward the behaviour—the degree to which a person has a favourable or unfavourable evaluation of the behaviour; subjective norms—perceived social pressure to perform or not perform the behaviour; perceived behavioural control—the perceived ease or difficulty of performing the behaviour, which reflects past experience and anticipated obstacles. This model is widely used to predict and understand behaviours in areas such as health, consumer decision-making, environmental actions, and more [86].
Context (C): Research settings, including e-commerce platforms, social media marketing, and online retail ecosystems, were identified.
Characteristics (C): Key variables were explored, such as green content marketing effectiveness, affiliate marketing influence, shopping motives, and sustainability consciousness.
Methodology (M): The research designs used, including qualitative studies (interviews, conceptual papers, and case studies) and quantitative methods (structural equation modelling (SEM), experimental studies, and surveys), were analysed.
Based on the insights from the TCCM analysis, a conceptual framework was developed to illustrate the relationships between green effective marketing strategies, shopping motives, and variety-seeking shopping behaviours. The model outlines how green content and green affiliate marketing stimulate both online and offline consumer engagement, trigger shopping motives, and influence variety-seeking shopping behaviour tendencies.

4. Results

The analysis of the existing literature using the TCCM framework provides critical insights into green product variety-seeking shopping behaviours, particularly in the era of content marketing and affiliate marketing.

4.1. Theoretical Insights

Research on variety-seeking behaviours for green products is primarily grounded in consumer behaviour and marketing theories, such as hedonic consumption theory, shopping motivation theory, brand loyalty theory, E-WOM theory, sequential-choice theory, brand credibility theory, trust theory, risk and incentive theory, content marketing theory, advertising effectiveness theory, cultural dimensions theory, ideal point model, self-presentation theory, the SOR model, the e-commerce framework, social influence theory, sustainable consumption theory, brand familiarity theory, active marketing theory, consumption values theory, digital content marketing theory, social media and loyalty theory, social media marketing theory, decision theory, the technology acceptance model (TAM), cultural values theory, and sustainable branding theory. Studies also incorporate sustainable consumption theory, pro-environmental behaviour theory, and green marketing theory to examine the impacts on green shopping choices. Digital marketing theories, particularly those related to green content marketing and affiliate marketing, are emerging as essential frameworks for understanding how online advertising influences variety-seeking behaviours in sustainable product choices. However, socialization theories and psychological ownership remain underexplored in the context of green shopping.

4.2. Contextual Trends

Most research focuses on e-commerce and digital retail platforms, where green content marketing and green affiliate marketing play a crucial role in shaping consumers’ green product choices. Social media and influencer marketing have gained significant attention, as platforms like Instagram, YouTube, and blogs drive consumer awareness and engagement with sustainable products. However, regional and cross-cultural studies on green product variety-seeking remain limited, despite cultural values influencing sustainable purchasing decisions. While research in Western markets highlights the role of digital strategies in increasing green product adoption, studies on developing economies and diverse consumer segments are scarce. Future research should explore how economic, social, and environmental factors affect variety-seeking in different cultural contexts.

4.3. Characteristics

A central theme in the literature is the impact of digital marketing strategies, particularly content marketing and affiliate marketing, in influencing green variety-seeking behaviours in green products. Key characteristics identified in the framework include the role of green content marketing in engaging content, influencer recommendations, and interactive advertisements, which encourage consumers to explore different green brands and product categories in online and offline contexts. Educational and storytelling-based content strengthens brand-consumer relationships, fostering a greater willingness to experiment with sustainable options. Studies suggest that green affiliate marketing increases purchase intention and brand trust, particularly when promoted through credible sources. Affiliate links provide incentives, such as discounts and personalized recommendations, which enhance exploratory buying behaviours in green product categories. Psychological factors of consumer motivation, such as novelty-seeking, self-expression, and status-driven consumption, influence variety-seeking shopping behaviour with green features. Consumers also switch brands based on perceived product effectiveness, eco-label credibility, and social validation from influencers and peer groups. While some consumers embrace variety-seeking in green products, others hesitate due to uncertainty about product quality, sustainability claims, and higher costs. Green content and green affiliate marketing can reduce perceived risks by offering transparent information, peer reviews, and brand credibility signals.

4.4. Methodological Approaches

The methodological approach highlights that quantitative methods, particularly surveys and SEM, dominate research on green product marketing and variety-seeking behaviours. Experimental studies, including testing of digital marketing strategies, eye-tracking in e-commerce platforms, and neuromarketing techniques, provide valuable insights but remain limited in green product research. There is a lack of qualitative studies exploring consumer motivations, emotional connections to sustainability, and long-term variety-seeking patterns. Additionally, longitudinal studies and real-time digital tracking (e.g., website analytics, social media engagement metrics) are underutilized in measuring the evolving impact of content and affiliate marketing on green product variety-seeking behaviours.

5. Discussion

The TCCM logic illustrates how green content marketing, green affiliate marketing, and consumer motives collectively influence green variety-seeking shopping behaviours, offering insights into how these factors work together to encourage consumer exploration in both online and offline contexts. A conceptual model developed from the TCCM analysis demonstrates that green content marketing and affiliate marketing strategies, when effectively aligned with consumers’ shopping motives, can strongly stimulate exploratory buying behaviours. These strategies can not only engage customers with products featuring green attributes but also reduce perceived risk, enhance credibility, and create emotional connections, thereby encouraging consumers to try new green products or brands.

5.1. Key Empirical Patterns

The TCCM analysis, supported by Table 1 and Figure 2, reinforces the interdependence between green marketing strategies, green shopping motives, and variety-seeking shopping behaviours. Table 1 shows the name of the journal, their citations and/or impact factor, whichever is applicable to the concerned journal, and the citation total (calculated by taking all relevant articles under every connection). The results of the TCCM framework clearly show that a majority of the most cited articles stem from reputable journals, with high concentrations in journals like the Journal of Retailing, Journal of Marketing Research, Journal of Interactive Marketing, and Journal of Cleaner Production. These outlets have repeatedly focused on the aforementioned interdependence, though less in the green context, signalling that existing academic relevance and evolving scholarly interest should increasingly address the nexus of green marketing, green shopping motives, and variety-seeking shopping behaviour.
The TCCM review analysis (Table 1) indicates that a wide range of journals spanning green marketing, consumer research, sustainability, and content and affiliate marketing have published articles relevant to the topic. The Journal of Retailing leads with the highest number of publications (four articles), followed by the Journal of Marketing Research and Journal of Interactive Marketing with three studies each; Journal of Consumer Research and the Journal of Cleaner Production with two articles each; and other notable journals contributed a single article each. The diversity of publication years (2000 to 2024) reflects a sustained academic interest in green marketing in connection with variety-seeking behaviour and shopping motives over the decades. This table highlights not only the spread of contributions across journals but also the interdisciplinary nature of the topic, drawing from psychology, digital marketing, and environmental sustainability domains.

5.2. Theoretical and Managerial Implications

Logically forwarding the above discussions along with Table 1, it can be inferred that conceptual/theoretical clarity is explored with five key conceptual connections, aiming to total the number of citations per category. The analysis reveals that the connections of ‘green affiliate marketing’ with ‘effective marketing’ and ‘green content marketing’ with ‘effective marketing’ have attracted the highest academic attention, accumulating a total of 4798 and 3246 citations, respectively, indicating a robust scholarly foundation. These are followed by the literature exploring the link between ‘effective marketing’ and ‘variety-seeking shopping behaviour’, and ‘effective marketing’ and ‘green shopping motives’, with 3163 and 1159 citations, respectively. These facts underscore the growing relevance of sustainable promotional strategies. Comparatively, the connection involving ‘green shopping motive’ and ‘variety-seeking shopping behaviour’ (1103 citations) appears to be less explored as compared to others, suggesting potential gaps for future researchers. Table 1 further shows the extent of academic engagement with each theoretical linkage and identifies well-researched areas versus emerging or underdeveloped themes in variety-seeking purchasing behaviour in green marketing.
The logical outcome emerging from this review is that green content marketing serves as a catalyst for curiosity, novelty, and trust-building by offering immersive, relevant, and educational content that sparks consumers’ motives in both online and offline shopping contexts. Simultaneously, green affiliate marketing, facilitated by trusted influencers and platforms, incentivizes product exploration with personalized suggestions, peer validation, and monetary incentives such as discounts and cashbacks. The TCCM analysis (Table A1) supports the trend that highly cited studies show a strong focus on how effective marketing techniques interact with green shopping motives and variety-seeking behaviours. Additionally, the TCCM analysis predicts that when marketers understand consumer motivations such as novelty-seeking, social validation, or environmental consciousness, they can develop tailored marketing interventions that are more likely to drive exploratory behaviour. This synergy can enhance both the reach and impact of marketing campaigns for products with green features, encouraging long-term engagement with sustainable consumption of green products.
Table A1 offers a synthesis of the literature categorized by the TCCM framework, reviewing relevant articles under five key connections among ‘theory’, ‘context’, ‘characteristics’, and ‘methodology’. Most of the reviewed studies were accomplished with experimental or empirical approaches, highlighting the lack of qualitative approaches that are most needed to connect green marketing strategies with green shopping motives and variety-seeking shopping behaviour. This logical outcome can be further justified by the argument that consumers’ favourable decision-making for green features is mostly based on judgmental dimensions.
Going one step further with the TCCM framework, it is explored that the green marketing context (with content marketing and affiliate marketing) is considered by researchers with lesser intensity to connect effective marketing for green products with shopping motives and variety-seeking shopping behaviour towards products with green features. Logically combining the above two outcomes, it can be suggested that qualitative approaches like in-depth interviews, projective techniques, and ethnography should be embraced by both researchers and practitioners in a green-conscious scenario. The TCCM analysis also identified a gap in existing studies related to consumers’ socialization theories and socialization resources theory. If examined in connection with green-ness or sustainability, both academicians and practitioners can achieve a synergy of knowledge and profit.
Referring literally to the defined research problems:
RQ1: Studies that explain the relationship between effective green marketing strategies and variety-seeking behaviours towards green products are based on a wide range of theories, such as hedonic consumption theory, purchase motivation theory, brand loyalty theory, brand credibility theory, risk and incentive theory, content marketing theory, social influence theory, consumption values theory, the TAM, and sustainability theory. These theories explain how effective marketing can influence consumers’ exploratory behaviour toward green products.
RQ2: Content marketing (e.g., storytelling, education) and affiliate marketing (e.g., influencer recommendations, discounts) increase consumer engagement and encourage them to experiment with different brands and categories of green products, thus driving the variety-seeking shopping behaviours of consumers towards green products. Both content marketing and affiliate marketing increase purchase intentions and brand trust.
RQ3: Shopping motives—both online and in-store—mediate the relationship between effective marketing strategies and green variety-seeking shopping behaviour. Utility factors, such as the need for novelty, self-sufficiency, and status consumption, influence green product purchase decisions.
RQ4: Factors such as culture, environmental awareness, and technology adoption levels affect content and affiliate marketing effectiveness and purchase motivations. Cross-cultural research is limited, even though cultural values strongly determine purchase decisions.
RQ5: Understanding the relationships between marketing, purchase motivations, and exploratory behaviour allows companies to better design marketing strategies that reduce consumer perceived risk, increase brand credibility, and build emotional bonds. This, in turn, promotes greater openness to experimenting with green products.

6. Research Gaps and Future Directions

Based on an extensive literature review, this conceptual model (Figure 3) is developed to provide a comprehensive theoretical framework for understanding the interaction of various marketing strategies, especially promotional strategies or interactive marketing strategies with consumer behaviours. The directional linkages offer significant scope for future researchers to empirically justify the proposed model. Future research should focus on cross-cultural comparisons of variety-seeking behaviour in green shopping, as cultural values, economic conditions, and regulatory frameworks influence consumer choices. Understanding how different regions respond to green content and green affiliate marketing strategies can help marketers tailor their approaches to diverse consumer segments. Additionally, long-term consumer behaviour analysis is essential to determine the sustainability of variety-seeking habits in green shopping. Incorporating longitudinal studies and real-world consumer data tracking can provide insights into how green content and green affiliate marketing influence purchasing patterns over time.
Moreover, it is suggested that psychological factors such as psychological ownership, habit formation, and emotional attachment remain underexplored in the context of green shopping behaviour. While novelty-seeking and brand switching are widely discussed, a deeper understanding of how these psychological mechanisms shape consumer engagement with sustainable products is needed. Finally, emerging digital marketing innovations—such as AI-driven marketing, personalized affiliate strategies, and blockchain-based sustainability tracking—should be examined to assess their impact on variety-seeking behaviour in green shopping. As technology continues to evolve, these innovations may redefine how consumers explore and adopt green products, making it crucial to study their effectiveness in driving sustainable consumption.

7. Conclusions

The TCCM framework emphasizes the growing influence of content marketing and affiliate marketing on shaping the behaviour of seeking diversity in the group of products with ecological features. The influence of external factors, such as marketing strategies, on consumer decisions in the area of variety-seeking behaviour has been demonstrated, among others, by Zhang (2022). Zhang emphasized that dynamic and diverse marketing content (e.g., in content marketing) can stimulate the need for variety in purchases [87]. However, the research conducted in this article confirms that these conclusions can be extended—as indicated—to ecological products promoted using green content marketing and green affiliate marketing. The obtained results are partly consistent with the conclusions of Liu, Zheng, and Chen (2015), who, analyzing how the size and structure of the choice set affect consumer behaviour, showed, among other things, that a diversified online shopping environment, often created by content marketing and affiliations, can increase the consumers’ tendency to seek variety—also in the case of ecological products [88].
Companies can direct their customers towards products with green features by reducing perceived risk, increasing credibility and building emotional bonds with customers. Emotional bonds, resulting from customer satisfaction and trust in the company or brand, are particularly important for the effectiveness of green marketing [89]. These goals can also be achieved by disseminating accurate and up-to-date information about the pros and cons of green products and by educating customers about the importance of a sustainable approach to consumption.
While research highlights digital engagement, sustainability awareness, and psychological motivations as key drivers, gaps remain in cross-cultural studies, psychological factors, and long-term consumer behaviour tracking for business and social sustainability. Addressing these gaps will offer deeper insights into how marketing strategies can foster consumer choices in the sustainability context while managing consumers’ variety-seeking behaviours towards green shopping products.

8. Limitations

The main limitation of this study is that the inferences are drawn logically, not empirically. So, an excellent future research direction would be testing the directional relationships in Figure 3 as hypotheses in order to provide in-depth insight into the nomological network of constructs in Figure 3, which is lacking in the TCCM framework [90]. Further, this paper considered studies conducted in the last 24 years, particularly in the management and social science fields, which is another limitation of this work. So, the scope of similar future studies can be enhanced by incorporating a wider range of studies from other disciplines. Furthermore, more qualitative studies connected to consumer socialization theories can provide deeper insight into green marketing.

Author Contributions

Conceptualization, V.S., H.B.H., S.K.S., and S.B.; methodology, V.S., H.B.H., S.K.S., S.B., and G.B.; software, V.S., S.K.S., S.B., and G.B.; validation, V.S., H.B.H., S.K.S., S.B., and G.B.; formal analysis, V.S., S.K.S., S.B., and G.B.; investigation, V.S., S.B., and H.B.H.; resources, V.S., S.K.S., and H.B.H.; data curation, S.K.S. and S.B.; writing—original draft preparation, V.S., S.K.S., S.B., and G.B.; writing—review and editing, H.B.H. and S.K.S.; visualization, S.K.S. and S.B.; supervision, H.B.H. and S.K.S.; project administration, S.K.S.; funding acquisition, H.B.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. The APC was funded by the University of Bielsko-Biala.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
TAMTechnology acceptance model
TCCMTheory, Context, Characteristics, Methodology
TPBTheory of Planned Behaviours
SEMStructural equation modelling
SDTSelf-Determination Theory
SORStimulus–Organism–Response

Appendix A

Table A1. TCCM framework, organizing existing literature based on key research elements.
Table A1. TCCM framework, organizing existing literature based on key research elements.
StudyTheoryContextCharacteristicsMethodology
Agrawal (2022) [78]Consumer behaviour theory; generational cohort theoryOnline shopping behaviour differences between Generation Y and Z consumersExamines motivations, perceived risk, and technological affinity influencing shopping patternsExperimental, Logistic regressions
Agrawal (2023) [77]Digital marketing theory; consumer decision-making theoryOnline apparel shopping behaviour of Generation Y consumersFocuses the impact of digital content dissemination and social media engagement on online apparelMixed-method approach
Al-Gasawneh & Al-Adamat (2020) [44]e-WOM theoryGreen marketing; online shoppingMediating role of e-WOM in content marketing and purchase intentionStructural equation modelling (SEM)
Ariely & Levav (2000) [58]Sequential choice theoryGroup decision-makingEffects of group influence on variety-seeking BehavioursExperimental study
Baek, Kim, & Yu (2010) [39]Brand credibility and prestige theoryBrand choiceDifferentiation of brand credibility and prestige in influencing choicesEmpirical study
Berger & Iyengar (2013) [64]Customization and consumer behavioursDigital marketingImpact of personalization on variety-seeking behavioursExperimental Study
Bhatia & Jain (2014) [60]Green marketing theoryIndian consumer marketConsumer perception and preferences toward green productsSurvey-based research
Bleier & Eisenbeiss (2015) [41]Trust theoryOnline advertisingImpact of trust on personalized online advertisingEmpirical study
Byrum (2017) [48]Web communication using media richness theory; public relations TheorySocial media, media format, corporate social responsibility, environmental purchasing, and green marketingaddresses the use of message carriers to convey corporate social responsibility information to promote eco-purchasing involvement.Empirical study
Chaffey & Ellis-Chadwick (2019) [18]Digital marketing strategyOnline retailStrategies for digital marketing implementationConceptual framework
Chandon et al. (2000) [55]Benefit congruency frameworkSales promotion in general marketing contextsFocus on utilitarian and hedonic motivations for promotionsConceptual and empirical studies
Chen & Chou (2012) [35]Fairness theoryContinuance intentions, fairness, trust, consumer, and B2C online shoppingIntegrating fairness theory with the trust concept to construct a model for investigating consumers’ continuance intentions toward online shopping. Qualitative research
Childers et al. (2001) [69]Hedonic and utilitarian shopping motivationsOnline retailFactors influencing online shopping motivationsSurvey, Regression analysis
Dangelico & Vocalelli (2017) [66]Green marketing strategySustainable consumptionDefinitions and strategic steps in green marketingSystematic literature review
Duffy (2005) [26]Affiliate marketing modelDigital commerceRole of affiliate marketing in driving online sales, Successful long-term relationshipConceptual and empirical study
Edelman & Brandi (2015) [27]Risk and incentive theoryOnline affiliate marketing, online marketing, and affiliate salesRole of risk, incentives, and information in online marketingQuantitative analysis
Evangelista et al. (2020) [52]Switching barrier theory in online loyaltyAsian online consumer loyalty under dissatisfactionImportance of switching barriers to explain loyaltyQuantitative surveys and logistic regression analysis
Flavián et al. (2019) [56]Webrooming and consumer satisfaction theoryWebrooming behaviourEmotional influences like consumer confidence and feeling Survey-based research and structural equation modelling
Goldfarb & Tucker (2011) [75]Advertising effectiveness theoryOnline display advertisingTargeting vs. obtrusiveness in digital advertisingExperimental and survey-based
Haridasan & Fernando (2018) [71]Means–end theoryOnline/in-store shopping, hedonic/utilitarian products, laddering, and hierarchical virtual map comparing online and in-store shoppers motivations based on product typeContent analysis, means-end approach
Hing et al. (2024) [49]Revenue share modelGambling harm, problem gambling, wagering, marketing, affiliate tipsters, and influencersthe key features of wagering affiliate marketing and how it may increase the risk of gambling harm.Mixed research methods
Halligan & Shah (2010) [29]Inbound marketing modelSocial media and SEOStrategies for attracting consumers using digital toolsCase studies and conceptual framework
Ivkovic & Milanov (2010) [30]Affiliate marketing frameworkInternet marketingAnalysis of affiliate marketing applicationsCase study analysis
Jeong et al. (2023) [76]Self-presentation theorySocial media, e-commerceInfluence of social media and variety-seeking behavioursOnline behavioural study (laboratory studies and content analysis)
Kamalul Ariffin et al. (2018) [33]Stimulus–Organism–Response (SOR)Online consumer behaviour, online shopping, security, and e-commerceexamining the relationship between six factors of consumers’ perceived risk and consumers’ online purchase intentions.Empirical study
Kim, Kim, & Kang (2009) [37]Shopping motivation theoryTeen consumersEffects of loneliness and media usage on mall shopping motivationEmpirical study
Kukar-Kinney et al. (2009) [70]Compulsive-buying theoryConsumer tendencies, shopping motivations, compulsive buying, and internetexamining how consumers’ preferences to shop and buy on the internet rather than at brick-and-mortar stores differ depending on their compulsive buying tendencies.Empirical study
Kumar & Pandey (2023) [72]Social influence theoryGreen consumption behavioursImpact of social media motivations on green shoppingEmpirical study
Kumar & Yadav (2021) [73]Sustainable consumption theoryGreen apparelInfluence of shopping motivation on sustainable consumptionEmpirical study
Kwon & Jain (2009) [53]Variety-seeking behaviour with hedonic and utilitarian motivationsMultichannel and nontraditional retail formatsInfluence of variety-seeking, hedonic, and utilitarian motives on multichannel shoppingSurvey-based quantitative analysis
Lee, Park, & Kim (2021) [63]Active marketing theoryConsumer expertiseModerating role of expertise in active marketing and variety-seekingExperimental study
Lim & Cham (2015) [57]Internet shopping behaviour theoryInternet shoppers across nine different countriesProfiling internet shoppers based on demographics and shopping patternsCross-national survey study
Lin & Huang (2012) [65]Consumption values theoryGreen product choiceFactors influencing green product choicesSurvey-based study
Lou, Xie, Feng, & Kim (2019) [42]Branded content marketingBrand buildingRole of non-hard-sell content in marketingEmpirical study
Lu & Miller (2019) [47]Social media and loyalty theoryGreen retail salesHow social media and customer loyalty influence green retail purchasesEmpirical study
Mariussen et al. (2010) [50]Complexity theoryNetwork, affiliate marketing, and unintended consequencesInvestigating unintended consequences in the evolution of affiliate marketing networks in tourism distribution.Qualitative content analysis
Martinez, Johnson, & Brown (2022) [62]Social media marketing theoryVariety-seeking behavioursImpact of social media on variety-seeking BehavioursCross-category analysis
Mohd Suki, Ramayah & Mohd Suki (2008) [51]Technology acceptance model (TAM)Internet shoppingInvestigates intrinsic and extrinsic motivations in online shoppingEmpirical study
Moser (2015) [59]Pro-environmental behaviours theoryGreen consumer behavioursIdentifies drivers of pro-environmental purchasing BehavioursSurvey and quantitative analysis
Mozaffari & Ranjpoor (2023) [40]Digital content engagementDigital content marketing, green marketing, and social mediaImpact of digital content marketing on brand loyaltyMixed-methods approach (exploratory, qualitative, meta synthesis)
Nabivi (2024) [45]Self-congruence theoryGreen marketing; sustainability; social media; consumer behaviourExploring how eco-friendly social media posts influence consumer perceptions and behaviours, specifically regarding informativeness, entertainment, perceived relevance, brand attitude, purchase intention, and word of mouthEmpirical study
Nguyen, Lobo & Greenland (2017) [67]Cultural values theoryGreen purchase behavioursExamines cultural values influencing green purchasesSurvey-based research
Odden (2012) [25]Digital marketing frameworkSEO, social media, and Content MarketingDiscusses strategies for integrating SEO and social mediaConceptual study
Pappas (2016) [74]Consumer trust and risk perceptionOnline buying behavioursAnalyses marketing strategies, perceived risks, and trust in e-commerceEmpirical study
Peattie & Crane (2005) [68]Green marketing theorySustainable consumerismCritically examines green marketing and its mythsQualitative research
Przybylski et al. (2013) [43]Fear-of-missing-out (FoMO) theoryDigital consumer behavioursStudies motivational and emotional aspects of (FoMO) in online BehavioursExperimental and survey-based study
Pulizzi (2012) [38]Storytelling marketingContent marketingHighlights the importance of storytelling in digital marketingCase study and conceptual analysis
Rezaei (2015) [54]Consumer decision-making styles (CDMS) frameworkRetail and consumer services market segmentationSegmentation based on decision-making styles using PLS modellingPartial least squares (PLS) path modelling approach
Smith et al. (2020) [61]Theory of Planned Behaviours (TPB)Green consumer BehavioursExamines how attitudes, subjective norms, and perceived behavioural control influence variety-seeking in green productsSurvey-based, SEM
Sun, Li, & Wang (2022) [46]Consumer intent theoryGreen product purchase intentionConsumers’ motivations for purchasing green productsEmpirical study
Swani & Milne (2017) [32]Social media engagementFacebook brand contentFactors affecting popularity of brand content on social mediaEmpirical study
Thompson et al. (2011) [31]Kaplan & Haenlein’s taxonomy, learning participation styles framework, disciplinary learning frameworkSocial networking sites; content communitiesDiscusses informal learning among teenagers and young adults engaging with social media platformsConceptual analysis
Wagner (2007) [36]Means–end chain analysisRetail and shopping motivationRevisiting shopping motivation through means-end analysisEmpirical study
Widyastuti et al. (2024) [79]Switching barrier theory in online loyaltyAsian online consumer loyalty under dissatisfactionImportance of switching barriers to explain loyaltyQuantitative surveys and logistic regression analysis
Wolfinbarger & Gilly (2003) [34]Retail quality frameworkOnline retailingMeasuring and predicting e-tail service qualityEmpirical study
Zaharia (2019) [80]Shopping motivation theoryGermany’s online retail segmentsExploratory behaviour in diverse online product categoriesQualitative Secondary data analysis

References

  1. Akenji, L.; Bengtsson, M. Making sustainable consumption and production the core of sustainable development goals. Sustainability 2014, 6, 513–529. [Google Scholar] [CrossRef]
  2. Vergragt, P.; Akenji, L.; Dewick, P. Sustainable production, consumption, and livelihoods: Global and regional research perspectives. J. Clean. Prod. 2014, 63, 1–12. [Google Scholar] [CrossRef]
  3. Rahman, S.U.; Nguyen-Viet, B. Towards sustainable development: Coupling green marketing strategies and consumer perceptions in addressing greenwashing. Bus. Strategy Environ. 2023, 32, 2420–2433. [Google Scholar] [CrossRef]
  4. Yan, L.; Keh, H.T.; Wang, X. Powering sustainable consumption: The roles of green consumption values and power distance belief. J. Bus. Ethics 2021, 169, 499–516. [Google Scholar] [CrossRef]
  5. Sreen, N.; Yadav, R.; Kumar, S.; Gleim, M. The impact of the institutional environment on green consumption in India. J. Consum. Mark. 2020, 38, 47–57. [Google Scholar] [CrossRef]
  6. Cronin, J.J.; Smith, J.S.; Gleim, M.R.; Ramirez, E.; Martinez, J.D. Green marketing strategies: An examination of stakeholders and the opportunities they present. J. Acad. Mark. Sci. 2011, 39, 158–174. [Google Scholar] [CrossRef]
  7. Gleim, M.; JLawson, S. Spanning the gap: An examination of the factors leading to the green gap. J. Consum. Mark. 2014, 31, 503–514. [Google Scholar] [CrossRef]
  8. Gleim, M.R.; McCullough, H.; Sreen, N.; Pant, L.G. Is doing right all that matters in sustainability marketing? The role of fit in sustainable marketing strategies. J. Retail. Consum. Serv. 2023, 70, 103124. [Google Scholar] [CrossRef]
  9. Ottman, J.A. The new rules of green marketing: Strategies, tools, and inspiration for sustainable branding. Berrett-Koehler Publishers. Int. Rev. Public Nonprofit Mark. 2011, 9, 95–96. [Google Scholar] [CrossRef]
  10. Kumar, P.; Polonsky, M.; Dwivedi, Y.K.; Kar, A. Green information quality and green brand evaluation: The moderating effects of eco-label credibility and consumer knowledge. Eur. J. Mark. 2021, 55, 2037–2071. [Google Scholar] [CrossRef]
  11. Jhawar, A.; Kumar, P.; Varshney, S. The emergence of virtual influencers: A shift in the influencer marketing paradigm. Young Consum. 2023, 24, 468–484. [Google Scholar] [CrossRef]
  12. Moreno, D.E.; David, K.A.; Delos Santos, K.; Labapis, J.I.; Mariano, J.B.; Tseng, S.C. Do you trust the influencer behind short-form video contents? The Impact of Influencer Credibility and Content Value on Consumers’ Purchase Decision. In Proceedings of the 2024 8th International Conference on E-Commerce, E-Business, and E-Government, Ajman, United Arab Emirates, 28–30 May 2024; pp. 22–28. [Google Scholar] [CrossRef]
  13. Lou, C.; Yuan, S. Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. J. Interact. Advert. 2019, 19, 58–73. [Google Scholar] [CrossRef]
  14. Lou, C.; Xie, Q. Something social, something entertaining? How digital content marketing augments consumer experience and brand loyalty. Int. J. Advert. 2021, 40, 376–402. [Google Scholar] [CrossRef]
  15. Añaña, E.; Barbosa, B. Digital influencers promoting healthy food: The role of source credibility and consumer attitudes and involvement on purchase intention. Sustainability 2023, 15, 15002. [Google Scholar] [CrossRef]
  16. Kumar, P.; Ghodeswar, B. Green marketing mix: A review of literature and direction for future research. Int. J. Asian Bus. Inf. Manag. 2015, 6, 42–59. [Google Scholar] [CrossRef]
  17. Patrick, Z.; Hee, O.C. Factors influencing the intention to use affiliate marketing: A conceptual analysis. Int. J. Acad. Res. Bus. Soc. Sci. 2019, 9, 701–710. [Google Scholar] [CrossRef]
  18. Chaffey, D.; Ellis-Chadwick, F. Digital Marketing: Strategy, Implementation and Practice, 7th ed.; Pearson Education: London, UK, 2019. [Google Scholar]
  19. Sharma, A. Consumer willingness to pay for sustainable products: The role of engaging content marketing. J. Sustain. Mark. 2024, 12, 45–62. [Google Scholar]
  20. Khandelwal, M.; Sharma, A.; Varshney, D.; Dagur, A. To analyze Consumer Satisfaction level in Digital Content Marketing with emphasis on shopping websites. Int. J. Eng. Technol. 2018, 7, 637–642. [Google Scholar] [CrossRef]
  21. Hollebeek, L.D.; Macky, K. Digital content marketing’s role in fostering consumer engagement, trust, and value: Framework, fundamental propositions, and implications. J. Interact. Mark. 2019, 45, 27–41. [Google Scholar] [CrossRef]
  22. Rowley, J. Understanding digital content marketing. J. Mark. Manag. 2008, 24, 517–540. [Google Scholar] [CrossRef]
  23. Kujur, F.; Singh, S. Visual communication and consumer-brand relationship on social networking sites-uses & gratifications theory perspective. J. Theor. Appl. Electron. Commer. Res. 2020, 15, 30–47. [Google Scholar] [CrossRef]
  24. Ahmad, N.S.; Musa, R.; Harun, M.H.M. The Impact of Social Media Content Marketing (SMCM) towards Brand Health. Procedia Econ. Financ. 2016, 37, 331–336. [Google Scholar] [CrossRef]
  25. Odden, L. Optimize: How to Attract and Engage More Customers by Integrating SEO, Social Media, and Content Marketing; John Wiley & Sons: Hoboken, NJ, USA, 2012. [Google Scholar]
  26. Duffy, D.L. Affiliate marketing and its impact on e-commerce. J. Consum. Mark. 2005, 22, 161–163. [Google Scholar] [CrossRef]
  27. Edelman, B.; Brandi, W. Risk, information, and incentives in online affiliate marketing. J. Mark. Res. 2015, 52, 1–12. [Google Scholar] [CrossRef]
  28. Lopes, A.R.; Porto, I.; Casais, B. Digital Content Marketing: Conceptual Review and Recommendations for Practitioners. Acad. Strateg. Manag. J. 2022, 21, 1–17. [Google Scholar]
  29. Halligan, B.; Shah, D. Inbound Marketing—Get Found Using Google, Social Media and Blogs; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2010. [Google Scholar]
  30. Ivkovic, M.; Milanov, D. Affiliate internet marketing: Concept and application analysis. In Proceedings of the ICEMT 2010—2010 International Conference on Education and Management Technology, Cairo, Egypt, 2–4 November 2010; pp. 319–323. [Google Scholar] [CrossRef]
  31. Thompson, P. Social Networking Sites and Content Communities: Similarities, Differences and Affordances for Learning; Practice of Educational Communications and Technology: Jacksonville, FL, USA, 2011; pp. 108–112, 462–466. [Google Scholar]
  32. Swani, K.; Milne, G.R. Evaluating Facebook brand content popularity for service versus goods offerings. J. Bus. Res. 2017, 79, 123–133. [Google Scholar] [CrossRef]
  33. Kamalul Ariffin, S.; Mohan, T.; Goh, Y.N. Influence of consumers’ perceived risk on consumers’ online purchase intention. J. Res. Interact. Mark. 2018, 12, 309–327. [Google Scholar] [CrossRef]
  34. Wolfinbarger, M.; Gilly, M.C. e-tailQ: Dimensionalizing, measuring and predicting retail quality. J. Retail. 2003, 79, 183–198. [Google Scholar] [CrossRef]
  35. Chen, Y.-T.; Chou, T.-Y. Exploring the Continuance Intentions of Consumers for B2C Online Shopping: Perspectives of Fairness and Trust. Online Inf. Rev. 2012, 36, 104–125. [Google Scholar] [CrossRef]
  36. Wagner, T. Shopping Motivation Revised: A Means-end Chain Analytical Perspective. Int. J. Retail Distrib. Manag. 2007, 35, 569–582. [Google Scholar] [CrossRef]
  37. Kim, Y.-K.; Kim, E.; Kang, J. Teens’ Mall Shopping Motivations: Functions of Loneliness and Media Usage. Fam. Consum. Sci. Res. J. 2009, 32, 140–167. [Google Scholar] [CrossRef]
  38. Pulizzi, J. The rise of storytelling as the new marketing. Publ. Res. Q. 2012, 28, 116–123. [Google Scholar] [CrossRef]
  39. Baek, T.H.; Kim, J.; Yu, J.H. The differential roles of brand credibility and brand prestige in consumer brand choice. Psychol. Mark. 2010, 27, 662–678. [Google Scholar] [CrossRef]
  40. Mozaffari, S.; Ranjpoor, R. The Conceptual Model for the Digital Content Marketing of Social Media to Boost Green Marketing Soleyman Iranzade. Int. J. Digit. Content Manag. 2023, 4, 175–196. [Google Scholar] [CrossRef]
  41. Bleier, A.; Eisenbeiss, M. The importance of trust for personalized online advertising. J. Retail. 2015, 91, 390–409. [Google Scholar] [CrossRef]
  42. Lou, C.; Xie, Q.; Feng, Y.; Kim, W. Does non-hard-sell content really work? Leveraging the value of branded content marketing in brand building. J. Prod. Brand Manag. 2019, 28, 773–786. [Google Scholar] [CrossRef]
  43. Przybylski, A.K.; Murayama, K.; DeHaan, C.R.; Gladwell, V. Motivational, emotional, and Behavioursal correlates of fear of missing out. Comput. Hum. Behav. 2013, 29, 1841–1848. [Google Scholar] [CrossRef]
  44. Al-Gasawneh, J.A.; Al-Adamat, A.M. The mediating role of e-word of mouth on the relationship between content marketing and green purchase intention. Manag. Sci. Lett. 2020, 10, 1701–1708. [Google Scholar] [CrossRef]
  45. Nabivi, E. The Role of Social Media in Green Marketing: How Eco-Friendly Content Influences Brand Attitude and Consumer Engagement. Sustainability 2024, 17, 1965. [Google Scholar] [CrossRef]
  46. Sun, Y.; Li, T.; Wang, S. “I buy green products for my benefits or yours”: Understanding consumers’ intention to purchase green products. Asia Pac. J. Mark. Logist. 2022, 34, 1721–1739. [Google Scholar] [CrossRef]
  47. Lu, Q.S.; Miller, R. How Social Media Communications Combine with Customer Loyalty Management to Boost Green Retail Sales. J. Interact. Mark. 2019, 46, 87–100. [Google Scholar] [CrossRef]
  48. Byrum, K. “Hey Friend, Buy Green”: Social Media Use to Influence Eco-Purchasing Involvement. Environ. Commun. 2017, 13, 209–221. [Google Scholar] [CrossRef]
  49. Hing, N.; Rockloff, M.; Browne, M. The ‘Wild West’ of Wagering Affiliate Marketing and Implications for Gambling Harm. Int. J. Ment. Health Addict. 2024. [Google Scholar] [CrossRef]
  50. Mariussen, A.; Daniele, R.; Bowie, D. Unintended consequences in the evolution of affiliate marketing networks: A complexity approach. Serv. Ind. J. 2010, 30, 1707–1722. [Google Scholar] [CrossRef]
  51. Mohd Suki, N.; Ramayah, T.; Mohd Suki, N. Internet shopping acceptance: Examining the influence of intrinsic versus extrinsic motivations. Direct Mark. Int. J. 2008, 2, 97–110. [Google Scholar] [CrossRef]
  52. Evangelista, F.; Low, B.K.; Nguyen, M.T. How shopping motives, store attributes and demographic factors influence store format choice in Vietnam: A logistic regression analysis. Asia Pac. J. Mark. Logist. 2020, 3, 149–168. [Google Scholar] [CrossRef]
  53. Kwon, K.-N.; Jain, D. Multichannel shopping through nontraditional retail formats: Variety-seeking behavior with hedonic and utilitarian motivations. J. Mark. Channels 2009, 16, 149–168. [Google Scholar] [CrossRef]
  54. Rezaei, S. Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach. J. Retail. Consum. Serv. 2015, 22, 1–15. [Google Scholar] [CrossRef]
  55. Chandon, P.; Wansink, B.; Laurent, G. A Benefit Congruency Framework of Sales Promotion Effectiveness. J. Mark. 2000, 64, 65–81. [Google Scholar] [CrossRef]
  56. Flavián, C.; Gurrea, R.; Orús, C. Feeling Confident and Smart with Webrooming: Understanding the Consumer’s Path to Satisfaction. J. Interact. Mark. 2019, 47, 1–15. [Google Scholar] [CrossRef]
  57. Lim, Y.M.; Cham, T.H. A profile of the Internet shoppers: Evidence from nine countries. Telemat. Inform. 2015, 32, 344–354. [Google Scholar] [CrossRef]
  58. Ariely, D.; Levav, J. Sequential choice in group settings: Taking the road less traveled and less enjoyed. J. Consum. Res. 2000, 27, 279–290. [Google Scholar] [CrossRef]
  59. Moser, A.K. Thinking green, buying green? Drivers of pro-Environmental purchasing Behaviours. J. Consum. Mark. 2015, 32, 167–175. [Google Scholar] [CrossRef]
  60. Bhatia, M.; Jain, A. Green Marketing: A Study of Consumer Perception and Preferences in India. Electron. Green J. 2014, 1. [Google Scholar] [CrossRef]
  61. Smith, J.; Johnson, A.; Davis, B. The Impact of Active Marketing on Variety-Seeking Behaviours. J. Mark. Res. 2020, 45, 315–329. [Google Scholar]
  62. Martinez, G.; Johnson, L.; Brown, M. The Influence of Social Media Marketing on Variety-Seeking Behaviours: A Cross-Category Analysis. J. Interact. Mark. 2022, 41, 78–94. [Google Scholar] [CrossRef]
  63. Lee, H.; Park, S.; Kim, J. Exploring the Boundary Conditions of Active Marketing and Variety-Seeking Behaviours: The Moderating Role of Consumer Expertise. J. Consum. Res. 2021, 48, 415–432. [Google Scholar] [CrossRef]
  64. Berger, J.; Iyengar, R. From products to people: Activating personal goals through customization. J. Mark. Res. 2013, 50, 409–426. [Google Scholar]
  65. Lin, P.C.; Huang, Y.H. The influence factors on choice Behaviours regarding green products based on the theory of consumption values. J. Clean. Prod. 2012, 22, 11–18. [Google Scholar] [CrossRef]
  66. Dangelico, R.M.; Vocalelli, D. “Green Marketing”: An analysis of definitions, strategy steps, and tools through a systematic review of the literature. J. Clean. Prod. 2017, 165, 1263–1279. [Google Scholar] [CrossRef]
  67. Nguyen, T.N.; Lobo, A.; Greenland, S. The influence of cultural values on green purchase behaviours. Mark. Intell. Plan. 2017, 35, 377–396. [Google Scholar] [CrossRef]
  68. Peattie, K.; Crane, A. Green marketing: Legend, myth, farce or prophesy? Qual. Mark. Res. Int. J. 2005, 8, 357–370. [Google Scholar] [CrossRef]
  69. Childers, T.L.; Carr, C.L.; Peck, J.; Carson, S. Hedonic and utilitarian motivations for online retail shopping behaviours. J. Retail. 2001, 77, 511–535. [Google Scholar] [CrossRef]
  70. Kukar-Kinney, M.; Ridgway, N.M.; Monroe, K.B. The Relationship Between Consumers’ Tendencies to Buy Compulsively and Their Motivations to Shop and Buy on the Internet. J. Retail. 2009, 85, 298–307. [Google Scholar] [CrossRef]
  71. Haridasan, A.C.; Fernando, A.G. Online or in-store: Unravelling consumer’s channel choice motives. J. Res. Interact. Mark. 2018, 12, 215–230. [Google Scholar] [CrossRef]
  72. Kumar, A.; Pandey, M. Social Media and Impact of Altruistic Motivation, Egoistic Motivation, Subjective Norms, and EWOM toward Green Consumption Behaviours: An Empirical Investigation. Sustainability 2023, 15, 4222. [Google Scholar] [CrossRef]
  73. Kumar, S.; Yadav, R. The impact of shopping motivation on sustainable consumption: A study in the context of green apparel. J. Clean. Prod. 2021, 295, 126239. [Google Scholar] [CrossRef]
  74. Pappas, N. Marketing strategies, perceived risks, and consumer trust in online buying behaviours. J. Retail. Consum. Serv. 2016, 29, 92–103. [Google Scholar] [CrossRef]
  75. Goldfarb, A.; Tucker, C. Online display advertising: Targeting and obtrusiveness. Mark. Sci. 2011, 30, 389–404. [Google Scholar] [CrossRef]
  76. Jeong, H.; Wang, C.; Suri, R. Let me take a #selfie #variety: How consumer selfie affects variety seeking. Psychol. Mark. 2023, 40, 1693–1703. [Google Scholar] [CrossRef]
  77. Agrawal, D.K. Increasing digital dissemination and online apparel shopping behaviour of Generation Y. J. Fash. Mark. Manag. 2023, 28, 28–44. [Google Scholar] [CrossRef]
  78. Agrawal, D.K. Determining behavioural differences of Y and Z generational cohorts in online shopping. Int. J. Retail Distrib. Manag. 2022, 50, 880–895. [Google Scholar] [CrossRef]
  79. Widyastuti, W.; Hartini, S.; Tiarawati, M.; Artanti, Y.; Untarini, N. Why do dissatisfied consumers remain loyal? The role of switching barriers in online shopping. Asian J. Bus. Res. 2024, 14, 76–96. [Google Scholar] [CrossRef]
  80. Zaharia, S. Online Shopping Motives—An Empirical Investigation of Consumer Buying Behavior in Germany’s Main Online Retail Segments. In HCI in Business, Government and Organizations: eCommerce and Consumer Behavior, Proceedings of the 6th Interna-tional Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, 26–31 July 2019; Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Springer: Cham, Switzerland, 2019; Volume 11588 LNCS, pp. 333–349. [Google Scholar]
  81. Blalock, H.M. Contextual-effects models: Theoretical and methodological issues. Annu. Rev. Sociol. 1984, 10, 353–372. [Google Scholar] [CrossRef]
  82. Nightingale, A. A guide to systematic literature reviews. Surg.-Oxf. Int. Ed. 2009, 27, 381–384. [Google Scholar] [CrossRef]
  83. Bramer, W.M.; De Jonge, G.B.; Rethlefsen, M.L.; Mast, F.; Kleijnen, J. A systematic approach to searching: An efficient and complete method to develop literature searches. J. Med. Libr. Assoc. JMLA 2018, 106, 531. [Google Scholar] [CrossRef]
  84. Ryan, R.M.; Deci, E.L. Self-determination theory. In Encyclopedia of Quality of Life and Well-Being Research; Springer International Publishing: Cham, Switzerland, 2024; pp. 6229–6235. [Google Scholar] [CrossRef]
  85. Buxbaum, O.; Buxbaum, O. The SOR-model. In Key Insights into Basic Mechanisms of Mental Activity; Springer: Cham, Switzerland, 2016; pp. 7–9. [Google Scholar] [CrossRef]
  86. Ajzen, I. From intentions to actions: A theory of planned behavior. Action control: From cognition to behavior. In Action Control; Springer: Berlin/Heidelberg, Germany, 1985. [Google Scholar] [CrossRef]
  87. Zhang, Y. Variety-seeking behavior in consumption: A literature review and future research directions. Front. Psychol. 2022, 13, 874444. [Google Scholar] [CrossRef] [PubMed]
  88. Liu, L.; Zheng, Y.; Chen, R. Better with more choices? Impact of choice set size on variety seeking. Acta Psychol. Sin. 2015, 47, 66. [Google Scholar] [CrossRef]
  89. Román-Augusto, J.A.; Garrido-Lecca-Vera, C.; Lodeiros-Zubiria, M.L.; Mauricio-Andia, M. Green marketing: Drivers in the process of buying green products—The role of green satisfaction, green trust, green WOM and green perceived value. Sustainability 2022, 14, 10580. [Google Scholar] [CrossRef]
  90. Paul, J.; Khatri, P.; Duggal, H.K. Frameworks for developing impactful systematic literature reviews and theory building: What, Why, and How? J. Decis. Syst. 2024, 33, 537–550. [Google Scholar] [CrossRef]
Figure 1. Methodological mechanism.
Figure 1. Methodological mechanism.
Sustainability 17 05708 g001
Figure 2. Citation trend and journal strength.
Figure 2. Citation trend and journal strength.
Sustainability 17 05708 g002
Figure 3. Conceptualizing variety-seeking shopping behaviour for green products.
Figure 3. Conceptualizing variety-seeking shopping behaviour for green products.
Sustainability 17 05708 g003
Table 1. Overview of key journals and articles cited in the TCCM analysis.
Table 1. Overview of key journals and articles cited in the TCCM analysis.
Sl.
No.
Journal Name/Conference Theme, Year and Number of Article(s) Published, and Citation of the Concerned ArticleJournal Citations/Impact FactorRelevant Connection
and Total Citation
1Environmental Communication (2017, 1, 25)3.6Green content marketing with effective marketing, 3246
2Publishing Research Quarterly (2012, 1, 850)1.0 IF
3Management Science Letters (2020, 1, 93)1.1
4Journal of Product and Brand Management (2019, 1, 218)5.7
5International Journal of Digital Content Management (2023, 1, 5)NA
6Sustainability (2024, 1, 1)3.3 IF/6.8 CS
7Computers in Human Behaviours (2013, 1, 740)9.5
8Psychology & Marketing (2010, 1, 291)7.9
9Asia Pacific Journal of Marketing and Logistics (2022, 1, 108)4.6
10Journal of Research in Interactive Marketing (2018, 1, 895)9.6
11Practice of Educational Communications & Technology (2011, 1, 20)NA
12Journal of Consumer Marketing (2005, 1, 74)3.1Green affiliate marketing with Effective marketing, 4798
13The Service Industries Journal (2010, 1, 22)7.5
14International Journal of Mental Health Addiction (2024, 1, 0)4.7
15Journal of Marketing Research (2015, 1, 7)5.1
16Journal of Interactive Marketing (2019, 1, 41)10.0
17International Journal of Retail & Distribution Management (2007, 1, 251)5.5
18Family and Consumer Sciences Research Journal (2009, 1, 17)1.4
19ICEMT 2010—2010 International Conference on Education and Management Technology, Proceedings (2010, 1, 21)NA
20Journal of Retailing (2003, 1, 1585)9.1
21Online Information Review (2012, 1, 209)3.3
22Journal of Business Research (2017, 1, 75)11.2
23Journal of Retailing (2001,2015, 2, 322, 2174)9.1
24Sustainability (2023, 1, 80)3.6Effective marketing with green shopping motives, 1159
25Journal of Cleaner Production (2017, 2021, 2, 510, 96)9.8
26Marketing Science (2011, 1, 58) 5.4
27Marketing Intelligence and Planning (2017, 1, 324)4.2
28Qualitative Market Research: An International Journal (2005, 1, 89)2.1
29Asian Journal of Business Research (2024, 1, 0)1.49
306th International Conference on HCI in Business, Government, and Organizations, HCIBGO (2019, 1, 2)NA
31Psychology and Marketing (2023, 1, 2)7.9Green shopping motives with variety-seeking shopping behaviour, 1103
32Journal of Retailing and Consumer Services (2016, 1, 307)11.2
33Journal of Retailing (2009, 1, 148)9.1
34Journal of Fashion Marketing and Management (2023, 1, 9)3.1
35Journal of Research in Interactive Marketing (2018, 1, 48)9.6
36Journal of Cleaner Production (2012, 1, 589)10.2
37Telematics and Informatics (2015, 1, 43)8.2Effective marketing with variety-seeking shopping behaviour, 3163
38Journal of Marketing (2000, 1, 964)15.0
39Journal of Marketing Research (2013, 2020, 2, 108, 52)7.4
40Direct Marketing: An International Journal (2008, 1, 189)10.0
41Journal of Consumer Marketing (2015, 1, 1003)3.1
42Electronic Green Journal (2014, 1, 188)0.29
43Journal of Consumer Research (2000, 2021, 2, 249, 0) 10.5
44International Journal of Retail & Distribution Management (2022, 1, 47)5.5 IF/8.6 CS
45Asia Pacific Journal of Marketing and Logistics (2020, 1, 17)4.6
46Journal of Interactive Marketing (2019, 1, 94)10.0
47Journal of Retailing and Consumer Services (2015, 1, 139)11.2
48Journal of Interactive Marketing (2022, 1, 0)10.0
49Journal of Marketing Channels (2009, 1, 70)3.8
Note: Within brackets—the year of publication of the study in the concerned journal, the number of articles published in that particular journal, and the citations of that article. Source: Compiled by the authors of this study.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sahu, V.; Howaniec, H.B.; Sahoo, S.K.; Babu, S.; Biesok, G. Variety-Seeking Shopping Behaviours in the Age of Green Content Marketing, Affiliate Marketing, and Shopping Motives: An Agenda for Future Research Using a TCCM Approach. Sustainability 2025, 17, 5708. https://doi.org/10.3390/su17135708

AMA Style

Sahu V, Howaniec HB, Sahoo SK, Babu S, Biesok G. Variety-Seeking Shopping Behaviours in the Age of Green Content Marketing, Affiliate Marketing, and Shopping Motives: An Agenda for Future Research Using a TCCM Approach. Sustainability. 2025; 17(13):5708. https://doi.org/10.3390/su17135708

Chicago/Turabian Style

Sahu, Valavadra, Honorata Barbara Howaniec, Saroj Kumar Sahoo, Simran Babu, and Grzegorz Biesok. 2025. "Variety-Seeking Shopping Behaviours in the Age of Green Content Marketing, Affiliate Marketing, and Shopping Motives: An Agenda for Future Research Using a TCCM Approach" Sustainability 17, no. 13: 5708. https://doi.org/10.3390/su17135708

APA Style

Sahu, V., Howaniec, H. B., Sahoo, S. K., Babu, S., & Biesok, G. (2025). Variety-Seeking Shopping Behaviours in the Age of Green Content Marketing, Affiliate Marketing, and Shopping Motives: An Agenda for Future Research Using a TCCM Approach. Sustainability, 17(13), 5708. https://doi.org/10.3390/su17135708

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop