Journal Description
Journal of Theoretical and Applied Electronic Commerce Research
Journal of Theoretical and Applied Electronic Commerce Research
(JTAER) is an international, peer-reviewed, open access journal of electronic commerce, published monthly online by MDPI (from Volume 16, Issue 3 - 2021).
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SSCI (Web of Science), dblp, and other databases.
- Journal Rank: JCR - Q2 (Business) / CiteScore - Q1 (General Business, Management and Accounting )
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 27.9 days after submission; acceptance to publication is undertaken in 10.9 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
Impact Factor:
4.6 (2024);
5-Year Impact Factor:
5.1 (2024)
Latest Articles
From Avatars to Algorithms: Virtual Streamers and AI-Enabled Consumer Behavior in Live Streaming Commerce—A Systematic Review
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 57; https://doi.org/10.3390/jtaer21020057 (registering DOI) - 3 Feb 2026
Abstract
This review examines existing research on virtual streamers in live streaming commerce and digital marketing, identifying key factors that shape consumer responses. Based on 41 peer-reviewed studies and following PRISMA 2020 guidelines, the analysis applies the CIMCO to synthesize findings through a systematic
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This review examines existing research on virtual streamers in live streaming commerce and digital marketing, identifying key factors that shape consumer responses. Based on 41 peer-reviewed studies and following PRISMA 2020 guidelines, the analysis applies the CIMCO to synthesize findings through a systematic review. Results highlight three primary mechanisms—trait-based trust, perceived social presence, and message framing—which collectively constitute an integrative model explaining how virtual streamers influence AI-enabled consumer behavior. These elements shape how consumers engage with virtual streamers across platforms and product types. However, current research is limited by geographic concentration, reliance on self-reports, and a lack of longitudinal or behavioral data, which constrains broader applicability. For retailers and platform operators, aligning avatar traits and communication styles with product categories and consumer expectations is crucial for effective digital service delivery. Transparency about whether a streamer is AI or human-operated is also important for maintaining user trust. This review proposes a triadic integration model and offers a foundation for future research on AI-driven marketing influence.
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(This article belongs to the Topic Livestreaming and Influencer Marketing)
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Open AccessArticle
The Sword Effect of Electronic Informatization on Income Inequality: E-Commerce and E-Government
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Zhuocheng Lu and Song Wang
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 56; https://doi.org/10.3390/jtaer21020056 - 3 Feb 2026
Abstract
Market and government are the main bodies in solving the problem of income inequality, especially as both undergo electronic informatization. This study explores the effect of e-commerce and e-government on regional income inequality, along with its impact mechanisms and spatial characteristics. The results
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Market and government are the main bodies in solving the problem of income inequality, especially as both undergo electronic informatization. This study explores the effect of e-commerce and e-government on regional income inequality, along with its impact mechanisms and spatial characteristics. The results show a significant “sword effect” impact: e-commerce exacerbates income inequality, while e-government suppresses it. This conclusion remains valid after endogeneity and robustness tests. Mechanistically, e-commerce widens the gap by promoting industrial agglomeration and worsening resource misallocation, while e-government narrows it by enhancing fiscal transparency and alleviating resource misallocation. Spatially, all three variables exhibit spatial correlation and β-convergence; e-commerce and income inequality show α-divergence, while e-government shows α-convergence. E-commerce presents a negative spatial spillover of “aggravating local inequality but suppressing adjacent regional inequality,” while e-government’s inhibitory effect is limited to local cities. Their impacts show significant heterogeneity across regional gradients and geographical locations, providing a basis for differentiated policy implications.
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(This article belongs to the Special Issue Digital Intelligence Empowering the Dual Carbon Strategy and E-Commerce)
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Transcending the Paradox of Statistical and Value Rationality: A Tripartite Evolutionary Game Analysis of E-Commerce Algorithmic Involution
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Yanni Liu, Liming Wang, Bian Chen and Dongsheng Liu
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 55; https://doi.org/10.3390/jtaer21020055 - 3 Feb 2026
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The unbridled pursuit of statistical rationality has precipitated a crisis of value rationality in e-commerce ecosystems, leading to algorithmic involution—a dilemma characterized by destructive hyper-competition. To reconcile this theoretical paradox and explore effective governance pathways, this paper constructs a tripartite evolutionary game model
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The unbridled pursuit of statistical rationality has precipitated a crisis of value rationality in e-commerce ecosystems, leading to algorithmic involution—a dilemma characterized by destructive hyper-competition. To reconcile this theoretical paradox and explore effective governance pathways, this paper constructs a tripartite evolutionary game model involving e-commerce platforms, government regulators, and consumers. Simulation results indicate that high-intensity government deterrence constitutes the necessary stability foundation of hard constraints, while consumer activism acts as the decisive accelerator of the soft environment contingent on high synergistic gains and low information screening costs. Furthermore, a platform’s pivot toward “algorithm for good” is not driven by altruism, but by the rational calibration between short-term extractive gains and long-term benevolent returns. Sensitivity analysis confirms that reducing the ratio of these two factors is the effective lever to speed up system convergence. Finally, effective governance requires restructuring this payoff matrix by establishing dynamic penalty mechanisms and transparent low-cost feedback channels to render ethical algorithmic behavior a dominant strategy in terms of economic rationality. This research aims to guide the e-commerce ecosystem from a zero-sum game of involution toward a sustainable equilibrium of multi-party value co-creation.
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Membership Bundling in Platform Competition: To Bundle Add-Ons Together or Separately?
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Junmin Zhou and Weijun Zeng
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 54; https://doi.org/10.3390/jtaer21020054 - 3 Feb 2026
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Platforms are increasingly adopting membership bundling strategies to strengthen competitiveness. This paper explores how duopoly platforms bundle their membership services (the base products) with those provided by other platforms (add-ons) through a game-theoretic lens. We focus on the competing platforms’ strategic decisions to
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Platforms are increasingly adopting membership bundling strategies to strengthen competitiveness. This paper explores how duopoly platforms bundle their membership services (the base products) with those provided by other platforms (add-ons) through a game-theoretic lens. We focus on the competing platforms’ strategic decisions to bundle different add-ons together or separately by examining three key determinants: the quality gap between the base products, the quality of versus consumer preference for the add-ons, and the profit-sharing ratio to partners who offer the add-ons. First, with comparable base-good qualities, symmetric bundling emerges in equilibrium. Specifically, simultaneously bundling add-ons together (or separately) dominates when the add-on quality (or the consumers’ preference) mainly drives purchase. Second, significant quality disparity in the base goods leads to asymmetric equilibria: the high-quality platform strategically selects the bundling mode, together or separately, that minimizes the profit-sharing payouts, forcing the low-quality rival to adopt a different strategy. Finally, when the base goods have similar quality, the platform competition can largely yield optimal welfare outcomes. With a significant quality disparity, however, the equilibrium strategies may deviate from social efficiency. Our study advances understanding of platform competition with membership bundling and offers regulatory insights for social planners to strategically intervene in platforms’ membership bundling decisions.
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The Effects of BOPS Cooperation on Advertising and Pricing Decisions in Omnichannel Retailing
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Jiao Hu, Li Li, Xiang He and Michael Z. F. Li
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 53; https://doi.org/10.3390/jtaer21020053 - 3 Feb 2026
Abstract
Many retailers start to implement the practice of buy online and pick up in store (BOPS) by integrating their online and offline channels. In this paper, we study the effects of BOPS cooperation (i.e., channel cooperation) in the presence of advertising competition. We
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Many retailers start to implement the practice of buy online and pick up in store (BOPS) by integrating their online and offline channels. In this paper, we study the effects of BOPS cooperation (i.e., channel cooperation) in the presence of advertising competition. We first investigate how BOPS cooperation affects online and offline retailers’ advertising levels, prices, demands and profits under fixed and optimized pricing strategies and further explore the conditions under which retailers decide to implement BOPS cooperation for greater benefits. Next, we conduct a comparative study of the two pricing strategies before and after BOPS cooperation, examine the impact of different pricing strategies on advertising levels, and assess retailers’ preferences for the two pricing strategies. We also perform numerical examinations to derive insights into when BOPS cooperation is most appropriate and what advertising and pricing strategies are optimal for retailers. The numerical results show that implementing BOPS cooperation is not necessarily optimal for online and offline retailers and that the offline hassle cost, commission level and convenience coefficient in BOPS are the major determinants of retailers’ profitability. We also find that the BOPS convenience coefficient can be a partial compensation for the competitive effect of advertising in the optimized pricing strategy. In addition, we identify conditions under which retailers are better off in different cases. In particular, we find that when BOPS commission is high and offline hassle cost is low, online and offline retailers can benefit more from the optimized pricing strategy.
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(This article belongs to the Collection Emerging Topics in Omni-Channel Operations)
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Open AccessArticle
Green Two-Echelon Vehicle Routing Problem with Specialized Vehicle and Occasional Drivers Joint Delivery
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Fuqiang Lu, Yu Zhang and Hualing Bi
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 52; https://doi.org/10.3390/jtaer21020052 - 3 Feb 2026
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In the field of logistics distribution, the two-echelon vehicle routing problem has long been a critical focus. Against the backdrop of global warming, enterprises conducting logistics operations must now prioritize not only delivery costs but also the environmental impact of carbon emissions. To
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In the field of logistics distribution, the two-echelon vehicle routing problem has long been a critical focus. Against the backdrop of global warming, enterprises conducting logistics operations must now prioritize not only delivery costs but also the environmental impact of carbon emissions. To address these challenges, this study integrates occasional drivers into the two-echelon vehicle routing framework, centering on carbon emission reduction. First, Affinity Propagation (AP) clustering is applied to assign customer points to transfer centers. Subsequently, an optimization model is formulated to minimize both vehicle routing costs and carbon emission costs through a collaborative delivery system involving specialized and crowdsourced vehicles. An enhanced Sparrow–Whale Optimization Algorithm (S-WOA) is proposed to solve the model. The algorithm is tested against traditional heuristic methods on three datasets of different scales. Experimental results demonstrate that the two-echelon logistics and distribution model combining specialized vehicles and occasional drivers achieves a significant reduction in total delivery costs compared to models relying solely on specialized vehicles. Further analysis reveals that, with a fixed crowdsourced compensation coefficient, increasing the crowdsourced detour coefficient leads to a decline in total delivery costs. Conversely, when the detour coefficient remains constant, raising the compensation coefficient results in an upward trend in total costs. These insights provide actionable strategies for optimizing cost-efficiency and sustainability in logistics operations.
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Elaborate or Succinct? The Impact of AI Chatbots’ Language Style on Customers’ Satisfaction in Online Service
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Yafeng Fan, Xiaohui Yue, Xiadan Zhang and Luyao Zhang
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 51; https://doi.org/10.3390/jtaer21020051 - 2 Feb 2026
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The growing prevalence of AI-powered chatbots in digital service environments has raised user expectations from mere functional efficiency to emotionally satisfying interactions. Drawing on Language Expectancy Theory (LET), this study investigates the impact of AI chatbot language style (namely, elaborate vs. succinct language)
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The growing prevalence of AI-powered chatbots in digital service environments has raised user expectations from mere functional efficiency to emotionally satisfying interactions. Drawing on Language Expectancy Theory (LET), this study investigates the impact of AI chatbot language style (namely, elaborate vs. succinct language) on customer service satisfaction. Across three studies, we demonstrate that customers exhibit higher satisfaction when interacting with chatbots employing elaborate language as opposed to succinct language. Furthermore, this effect is mediated by warmth and moderated by customer relationship norm orientation. The influence of elaborate language is more pronounced among customers with communal relationship norms, whereas those with exchange relationship norms respond more favorably to succinct language. Theoretically, this study enriches the literature on language style in human–computer interaction by introducing elaborateness as a pivotal communicative dimension. Practically, our results offer strategic guidance that can help service providers and developers to strategically tailor chatbot language styles to distinct customer segments, consequently enhancing service quality, fostering emotional engagement, and cultivating long-term customer loyalty within automated service systems.
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Comprehensive Privacy Awareness Framework (CPAF): Assessing Privacy Awareness of Saudi E-Commerce Users
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Norah D. Alotaibi, Maysoon Abulkhair and Manal Bayousef
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 50; https://doi.org/10.3390/jtaer21020050 - 2 Feb 2026
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With the rapid expansion of the Internet, it is crucial to be aware of the different aspects of privacy, especially in light of rising global cybersecurity threats and data breaches. While previous research has identified various factors when studying privacy awareness, these studies
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With the rapid expansion of the Internet, it is crucial to be aware of the different aspects of privacy, especially in light of rising global cybersecurity threats and data breaches. While previous research has identified various factors when studying privacy awareness, these studies often remain fragmented or examine key factors in isolation from one another, limiting their ability to provide a holistic view. To address this gap, this study proposes the Comprehensive Privacy Awareness Framework (CPAF), which is a theoretically grounded model that conceptualizes privacy awareness across four dimensions: individual, technological, organizational, and social. The framework is empirically validated through a case study of Saudi e-commerce users, a context chosen due to the sector’s rapid digital transformation under Vision 2030 and limited comprehensive privacy research. A CPAF-based survey was administered to 400 active e-commerce users. The quantitative results demonstrate that privacy awareness is a multidimensional construct, where each dimension is significantly associated with the others. Privacy awareness cannot be captured through a single and uniform measure. The findings further reveal notable gaps in users’ knowledge, behaviors, and perceptions of privacy risks, indicating insufficient preparedness when navigating e-commerce environments. These insights highlight the urgent need for targeted awareness initiatives and policy interventions to strengthen user protection and foster responsible digital participation.
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Exploring the Customer Experience Regarding AI-Powered Fintech Chatbots in Terms of SOR Theory
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Selim Çam, Murat Fatih Tuna and Talha Bayır
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 49; https://doi.org/10.3390/jtaer21020049 - 2 Feb 2026
Abstract
This study examines how the design and interaction features of AI-powered fintech chatbots shape the customer experience of Generation Z users by integrating the Stimulus-Organism-Response framework with dual-process perspectives. Two cross-sectional surveys were conducted in Türkiye. Study 1 (n = 166) examines the
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This study examines how the design and interaction features of AI-powered fintech chatbots shape the customer experience of Generation Z users by integrating the Stimulus-Organism-Response framework with dual-process perspectives. Two cross-sectional surveys were conducted in Türkiye. Study 1 (n = 166) examines the effect of social presence, interactivity, visual appeal, design originality, and usability on perceived competence and perceived warmth, which, in turn, shape the customer experience. Social presence and design originality significantly increased perceived competence (β = 0.47, p < 0.001), while visual appeal enhanced perceived warmth (β = 0.32, p < 0.001). Together, competence and warmth explained a substantial proportion of customer experience (R2 ≈ 0.60). Usability and interactivity showed no significant effects. Study 2 (n = 195) replicated these findings with trained users and introduced task complexity as a moderator. Under high task complexity, usability and interactivity became significant predictors of competence, which emerged as the primary driver of customer experience, whereas the influence of warmth diminished. Non-normal data distributions justified the use of Partial Least Squares Structural Equation Modeling. Overall, the findings suggest a shift from heuristic to systematic processing as fintech tasks become more complex, highlighting the growing importance of competence-based evaluations in fintech chatbot interactions.
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(This article belongs to the Topic Artificial Intelligence Applications in Financial Technology, 2nd Edition)
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Digital Platform Participation, Value Co-Creation, and SME Performance: Evidence from the Travel Agency Sector
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Shenguang Miao and Feifei Yu
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 48; https://doi.org/10.3390/jtaer21020048 - 2 Feb 2026
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Digital platforms offer cost-effective, accessible tools for small and medium-sized enterprises (SMEs). However, the mechanisms through which resource-constrained SMEs should participate in these platforms remain underexplored. By distinguishing participation breadth from participation depth and introducing value co-creation and external resource abundance as the
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Digital platforms offer cost-effective, accessible tools for small and medium-sized enterprises (SMEs). However, the mechanisms through which resource-constrained SMEs should participate in these platforms remain underexplored. By distinguishing participation breadth from participation depth and introducing value co-creation and external resource abundance as the mediating mechanism and boundary condition, respectively, this study offers an integrated account of how digital platform participation (DPP) relates to SME performance. Drawing on the theory of resource bricolage, this study conducted an online survey of 321 owners or managers, using small and medium-sized travel agencies in China as the empirical setting. This study develops an integrated mediation and moderation model and tests the hypotheses using confirmatory factor analysis, hierarchical regression, and bootstrapping analysis. The results show that both breadth and depth are positively associated with performance, with depth showing a significantly stronger association than breadth. Participation that combines transaction-oriented platforms with information-oriented platforms is associated with the largest performance gains. Value co-creation mediates the effect of depth on performance, whereas the mediation via breadth is not significant. External resource abundance weakens the performance returns to DPP. These findings inform resource-constrained SMEs’ platform strategies, particularly how to allocate scarce attention and resources between deepening and broadening participation and how to configure platform portfolios in relation to performance outcomes.
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What Is the Impact of Social Media on Consumer’s Green Response? Consider the Impact of Green Advertising, Online Interpersonal Influence, and Online Celebrity Endorsement
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Ying Sun, Difei Wu and Haonan He
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 47; https://doi.org/10.3390/jtaer21020047 - 2 Feb 2026
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In the context of increasingly pressing environmental challenges, promoting green consumption through effective marketing of green products has become a critical focus for corporate operations. In this study, we seek to establish a theoretical framework examining the cognitive outcomes of green advertising and
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In the context of increasingly pressing environmental challenges, promoting green consumption through effective marketing of green products has become a critical focus for corporate operations. In this study, we seek to establish a theoretical framework examining the cognitive outcomes of green advertising and online interpersonal influence within social media environments and to investigate the moderating roles of online celebrity endorsement and Generation Z within this framework. Based on the Stimulus–Organism–Response model, empirical data collected from 527 survey responses reveal that both green advertising and online social influence positively enhance consumers’ attitudes. These attitudes, in turn, strengthen green purchase intentions, with online celebrity endorsement serving as a significant moderator in this relationship; this moderating effect is amplified among Generation Z consumers. Additionally, purchase intentions exert a positive influence on word-of-mouth intentions. The results of this study provide important insight into the development of green consumption and social media within the Chinese context.
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Open AccessSystematic Review
Retrospection on E-Commerce: An Updated Bibliometric Analysis
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Laura-Diana Radu, Daniela Popescul and Mircea-Radu Georgescu
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 46; https://doi.org/10.3390/jtaer21020046 - 2 Feb 2026
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Companies need to allocate substantial effort and resources towards adapting to dynamic market trends and promptly meeting their customers’ evolving expectations in the online business context. Although e-commerce research has experienced significant growth over the past two decades, a comprehensive, systematic, and longitudinal
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Companies need to allocate substantial effort and resources towards adapting to dynamic market trends and promptly meeting their customers’ evolving expectations in the online business context. Although e-commerce research has experienced significant growth over the past two decades, a comprehensive, systematic, and longitudinal analysis that maps the evolution of publications, academic collaboration patterns, influential actors and sources, thematic structures, and theoretical foundations of the field is still lacking. This gap limits a holistic understanding of the maturation, intellectual structure, and future research directions of e-commerce as an academic domain. Based on these premises, the primary objective of the present study is to analyse the landscape of e-commerce spanning the period from 2008 to 2024. By employing bibliometric analysis, we have identified the most prolific and influential authors and publications that have made notable contributions to the literature on e-commerce, as well as the collaborations between authors and countries within the same field. Furthermore, we have analysed the thematic map, research trends, and interconnections between research themes over the past 17 years, providing a dynamic summary of scientific topics of interest in the field of e-commerce and suggesting potential directions for future explorations. The results reveal the heterogeneity of themes associated with e-commerce. We found that research topics in this field have evolved alongside technological evolution and social changes. Some themes have persisted over the years, such as customer behaviour or trust, while others have either disappeared or transformed. For instance, research related to supporting e-commerce technologies has become more specific, focusing on topics such as artificial intelligence, deep learning, machine learning, metaverse or blockchain. From a social perspective, the impact of COVID-19 has resonated within the scientific community, becoming a significant focus of researchers around the world. This study serves as a comprehensive guide for professionals and researchers seeking to bridge current research topics with forthcoming developments in the field of e-commerce. Examining contributions and emerging trends reveals new perspectives on how technological progress interacts with the social and economic dimensions of e-commerce.
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(This article belongs to the Special Issue Electronic Commerce and Information Management Towards the Digital Era)
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Disconfirmation Dynamics in Service Recovery: Insights from Online Customer Reviews
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Woojin Lee and Junsung Park
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 45; https://doi.org/10.3390/jtaer21020045 - 2 Feb 2026
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This paper analyzes the effects of service recovery and the double-deviation phenomenon on customer satisfaction using an analysis of online reviews. With the application of Word2Vec and AFINN sentiment analysis to 4793 Skytrax review comments, this paper bridges the gap between conceptual theories
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This paper analyzes the effects of service recovery and the double-deviation phenomenon on customer satisfaction using an analysis of online reviews. With the application of Word2Vec and AFINN sentiment analysis to 4793 Skytrax review comments, this paper bridges the gap between conceptual theories about customer behavior and big data analysis. Findings from this research indicate that although overall types of service recovery increase customer satisfaction, explanation is the most preferable yet effective type of recovery. Most importantly, this analysis shows that service recovery disconfirmation has been found to be a highly important moderator. When service efforts involve intangible actions, such as an apology or explanation, that fail to satisfy customers, they tend to perform worse than no recovery at all, thus supporting the double-deviation phenomenon. Compensation, however, has been found to be an efficient type of recovery since its impacts are not reduced much due to service recovery disconfirmation. These insights provide service providers with critical guidance on prioritizing transparent communication and avoiding poorly executed intangible recoveries.
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(This article belongs to the Section Digital Marketing and the Evolving Consumer Experience)
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E-Commerce Platform, Live Streaming or Combinations? Dynamic Decision Analysis of Fresh Agricultural Supply Chain
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Linlin Zhang and Ni An
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 44; https://doi.org/10.3390/jtaer21020044 - 30 Jan 2026
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The growth of e-commerce live streaming has expanded sales channel options for fresh agricultural suppliers. This study investigates a two-echelon supply chain consisting of a fresh agricultural supplier and downstream retailers. Using differential game theory, we examine the supplier’s preservation technology level and
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The growth of e-commerce live streaming has expanded sales channel options for fresh agricultural suppliers. This study investigates a two-echelon supply chain consisting of a fresh agricultural supplier and downstream retailers. Using differential game theory, we examine the supplier’s preservation technology level and product greenness, analyzing and comparing equilibrium strategies under three different modes: e-commerce platform sales mode (SP), head streamer sales mode (SH) and ordinary streamer sales mode (SN). The results demonstrate that SP is the dominant strategy when retailers’ marginal profits are low. Conversely, under high marginal profit conditions, the optimal selection depends on streamer cooperation costs: SH is preferred with low head streamer costs; widening cost gaps introduce temporal considerations between SH and SN; further gap expansion makes SN optimal. Furthermore, product greenness is related to supplier’s marginal profit, while the preservation technology level is jointly determined by supplier’s marginal profit and retailers’ inspection costs. Finally, combinations of these modes are also investigated.
Full article
(This article belongs to the Collection Advances in Supply Chain Management in the Era of Electronic Commerce)
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Open AccessSystematic Review
The Psychology of BNPL: A Systematic Review of Impulsive Buying and Post-Purchase Regret (2018–2025)
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Omar Munther Nusir, Che Aniza Che Wel, Siti Ngayesah Ab Hamid, Lamees Al-Zoubi and Ahmad Samed Al-Adwan
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 43; https://doi.org/10.3390/jtaer21020043 - 27 Jan 2026
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There is an increasing number of academic and regulatory investigations into the behavioral and psychological implications of using Buy Now, Pay Later (BNPL) services due to their rapid growth. There have been extensive investigations into impulse purchases using BNPL services; however, there has
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There is an increasing number of academic and regulatory investigations into the behavioral and psychological implications of using Buy Now, Pay Later (BNPL) services due to their rapid growth. There have been extensive investigations into impulse purchases using BNPL services; however, there has been relatively little focus placed upon examining post-purchase regret associated with BNPL service use. The purpose of this paper is to present a systematic review of the extant literature investigating how BNPL service use relates to both impulsive purchasing behavior and post-purchase regret. A total of ten empirical studies were identified through a comprehensive search of the Scopus database according to the PRISMA 2020 guidelines, which were all published between 2018 and 2025. The results indicated that BNPL features, including deferred payments, perceived affordability, and urgency cues, are consistent predictors of both greater impulsive purchasing and lower levels of payment salience. The results of this review, however, reveal that many existing studies have failed to directly measure post-purchase regret and instead rely on proxy indicators, including financial distress, emotional discomfort, and decreased well-being. These findings, therefore, highlight a major theoretical and methodological void in the existing literature. In addition, by providing a synthesis of the current evidence base, this review aims to provide a clearer understanding of how BNPL features influence both consumer decision-making processes and post-purchase emotional responses; additionally, this review highlights the necessity for future research to utilize valid measures of regret, longitudinal designs and ethically informed analytical frameworks when investigating the psychological impacts of adopting BNPL services.
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Identifying the Impact of Cross-Border E-Commerce on Urban Entrepreneurship: New Insights from China’s Cross-Border E-Commerce Comprehensive Pilot Zone
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Xianpu Xu, Yuchen Yan and Jiarui Hu
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 42; https://doi.org/10.3390/jtaer21020042 - 26 Jan 2026
Abstract
Cross-border e-commerce, as an emerging trade format, offers new chances for optimizing industrial chains’ layout, enhancing economic resilience, and attaining high-quality development at the city level. In this context, treating the execution of the cross-border e-commerce comprehensive pilot zone (CBEC) as a quasi-natural
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Cross-border e-commerce, as an emerging trade format, offers new chances for optimizing industrial chains’ layout, enhancing economic resilience, and attaining high-quality development at the city level. In this context, treating the execution of the cross-border e-commerce comprehensive pilot zone (CBEC) as a quasi-natural experiment, this study subtly attests to how the CBEC affects urban entrepreneurship by using a difference-in-differences (DID) technique. The results exhibit that the CBEC greatly promotes urban entrepreneurship, which is supported by some robustness tests, including instrumental variable testing and placebo testing. Heterogeneity analysis reveals that in cities with more developed economies, stronger digitalization, richer cultures, sounder law rules, and better business environments, the benefit for the CBEC on entrepreneurship is more significant. Mechanism testing argues that the CBEC promotes urban entrepreneurship through talent aggregation and industrial upgrading. Precisely, the more concentrated high-quality talents are and the more advanced the industrial structure is, the higher the urban entrepreneurship. More importantly, the CBEC exhibits a spatial spillover effect on entrepreneurship, promoting local entrepreneurship while stimulating the motivation to imitate and learn in neighboring areas, thereby driving their entrepreneurship. The findings offer a viable decision-making guide for building a unified factor market and achieving regional coordinated development.
Full article
(This article belongs to the Section Entrepreneurship, Innovation, and Digital Business Models)
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Optimal Financing Schemes for E-Commerce Closed-Loop Supply Chains with Quality Uncertainty: Balancing Profitability and Environmental Impact
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Jianhui Chen, Yan Tian, Chuan Pang and Huajun Tang
J. Theor. Appl. Electron. Commer. Res. 2026, 21(2), 41; https://doi.org/10.3390/jtaer21020041 - 24 Jan 2026
Abstract
The rise of the circular economy and e-commerce has led to the emergence of e-commerce closed-loop supply chains (ECLSCs). In practice, investing in process innovation (PI) is key to improving profitability and competitiveness. However, manufacturers at the downstream of ECLSCs often face financial
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The rise of the circular economy and e-commerce has led to the emergence of e-commerce closed-loop supply chains (ECLSCs). In practice, investing in process innovation (PI) is key to improving profitability and competitiveness. However, manufacturers at the downstream of ECLSCs often face financial constraints and quality uncertainty of used products, while research on how to select financing strategies under these conditions remains limited. To explore the optimal financing scheme for the ECLSC, this study investigates two financing schemes: bank financing (BF) and FinTech platform financing (FPF), which offers a combination of debt financing (DF) and equity financing (EF). Some key findings are derived. For the ECLSC, the FPF scheme is more profitable when the unit manufacturing cost for new components exceeds the threshold or PI costs are relatively low. Additionally, the FPF performs better when the FPF interest rate is low and the DF ratio is high. The BF is more beneficial when consumer sensitivity to recycling prices or service is low. The FPF enables the ECLSC to achieve maximum profits and minimize environmental impact within a specific range. Furthermore, the financing models are extended to incorporate considerations of fairness, where the optimal financing scheme is primarily influenced by the manufacturing cost.
Full article
(This article belongs to the Collection Advances in Supply Chain Management in the Era of Electronic Commerce)
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Open AccessArticle
Optimal Sales Channel and Business Model Strategies for a Hotel Considering Two Types of Online Travel Agency
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Li Zhang, Xi Han and Ziqi Mou
J. Theor. Appl. Electron. Commer. Res. 2026, 21(1), 40; https://doi.org/10.3390/jtaer21010040 - 14 Jan 2026
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This study addresses a pivotal strategic issue in hospitality e-commerce: how hotels can optimize cooperation with heterogeneous online travel agencies (OTAs). Moving beyond the conventional question of whether to cooperate, we investigate the interrelated decisions of which OTA type to partner with (quality-focused
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This study addresses a pivotal strategic issue in hospitality e-commerce: how hotels can optimize cooperation with heterogeneous online travel agencies (OTAs). Moving beyond the conventional question of whether to cooperate, we investigate the interrelated decisions of which OTA type to partner with (quality-focused vs. price-focused) and which business model to adopt (merchant vs. agency). We develop a game-theoretic model that incorporates key e-commerce factors, including hotel capacity constraints, cross-channel spillover effects, and differential consumer acceptance of OTA types. Our analysis yields a contingent decision framework. We demonstrate that OTA cooperation becomes beneficial only when a hotel’s room capacity exceeds its direct-channel demand. The optimal strategy evolves with capacity: hotels with moderate capacity should partner with a single OTA type—predominantly the quality-focused one—while larger hotels should engage both types to maximize market coverage. In terms of business models, smaller hotels benefit from the risk-shifting merchant model, whereas larger hotels capture higher margins through the agency model. A key finding is the general superiority of a differentiated approach: applying the agency model to quality-focused OTAs and the merchant model to price-focused OTAs. This research provides a structured analytical framework to guide hotel managers in crafting e-commerce platform strategies and offers scholars a foundation for further inquiry into platform competition and contract design in digital marketplaces.
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Open AccessArticle
Mapping Morality in Marketing: An Exploratory Study of Moral and Emotional Language in Online Advertising
by
Mauren S. Cardenas-Fontecha, Leonardo H. Talero-Sarmiento and Diego A. Vasquez-Caballero
J. Theor. Appl. Electron. Commer. Res. 2026, 21(1), 39; https://doi.org/10.3390/jtaer21010039 - 14 Jan 2026
Abstract
Understanding how moral and emotional language operates in paid social advertising is essential for evaluating persuasion and its ethical contours. We provide a descriptive map of Moral Foundations Theory (MFT) language in Meta ad copy (Facebook/Instagram) drawn from seven global beverage brands across
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Understanding how moral and emotional language operates in paid social advertising is essential for evaluating persuasion and its ethical contours. We provide a descriptive map of Moral Foundations Theory (MFT) language in Meta ad copy (Facebook/Instagram) drawn from seven global beverage brands across eight English-speaking markets. Using the moralstrength toolkit, we implement a two-channel pipeline that combines an unsupervised semantic estimator (SIMON) with supervised classifiers, enforces a strict cross-channel consensus rule, and adds a non-overriding purity diagnostic to reduce attribute-based false positives. The corpus comprises 758 text units, of which only 25 ads (3.3%) exhibit strong consensus, indicating that much of the copy is either non-moral or linguistically ambiguous. Within this high-consensus subset, the distribution of moral cues varies systematically by brand and category, with loyalty, fairness, and purity emerging as the most prominent frames. A valence pass (VADER) indicates that moralized copy tends toward negative valence, yet it may still yield a constructive overall tone when advertisers follow a crisis–resolution structure in which high-intensity moral cues set the stakes while surrounding copy positions the brand as the solution. We caution that text-only models undercapture multimodal signaling and that platform policies and algorithmic recombination shape which moral cues appear in copy. Overall, the study demonstrates both the promise and the limits of current text-based MFT estimators for advertising: they support transparent, reproducible mapping of moral rhetoric, but future progress requires multimodal, domain-sensitive pipelines, policy-aware sampling, and (where available) impression/spend weighting to contextualize descriptive labels.
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(This article belongs to the Special Issue Electronic Commerce and Information Management Towards the Digital Era)
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Open AccessArticle
Digital Supply Chain Integration and Sustainable Performance: Unlocking the Green Value of Data Empowerment in Resource-Intensive Sectors
by
Wanhong Li, Di Liu, Yuqing Zhan and Na Li
J. Theor. Appl. Electron. Commer. Res. 2026, 21(1), 38; https://doi.org/10.3390/jtaer21010038 - 14 Jan 2026
Abstract
In the rapidly evolving digital economy, the expansion of business-to-business e-commerce ecosystems has compelled traditional industries to integrate into digital supply chains to achieve sustainable development. Industrial e-commerce is no longer limited to online transactions but extends to the digital transformation of backend
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In the rapidly evolving digital economy, the expansion of business-to-business e-commerce ecosystems has compelled traditional industries to integrate into digital supply chains to achieve sustainable development. Industrial e-commerce is no longer limited to online transactions but extends to the digital transformation of backend operations. Drawing upon the perspective of the digital business ecosystem, this study investigates how digital supply chain integration, manifested through digital transformation, impacts energy efficiency. By utilizing a panel fixed effects model and advanced text mining techniques on a dataset of 721 listed firms in the resource-intensive sectors of China spanning from 2011 to 2023, this research constructs a novel index to quantify corporate digital maturity based on semantic analysis. The empirical results demonstrate that digital transformation significantly enhances energy efficiency by facilitating optimized resource allocation and data-driven decision making required by modern digital markets. Mechanism analysis reveals that green innovation functions as a pivotal mediator that bridges the gap between digital investments and environmental performance. Furthermore, this relationship is found to be contingent upon corporate social responsibility strategies, ownership structures, and the scale of the firm. This study contributes to the electronic commerce literature by elucidating how traditional manufacturers can leverage digital technologies and green innovation to navigate the twin transition of digitalization and sustainability, offering theoretical implications for platform governance in industrial sectors.
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(This article belongs to the Special Issue Digital Intelligence Empowering the Dual Carbon Strategy and E-Commerce)
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