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Journal of Theoretical and Applied Electronic Commerce Research, Volume 20, Issue 2

June 2025 - 97 articles

Cover Story: This research examines how consumers respond differently to large language model AI chatbots versus traditional search engines when searching and evaluating product information. The findings suggest that consumers prefer search engines over AI chatbots and are more willing to disclose personal information to them (vs. AI chatbots) due to greater perceived familiarity. However, this effect is moderated by the quality of consumers’ relationships with the search tools. Further, consumers evaluate AI chatbot-generated results as less biased. Contrary to previous research that has mainly focused on functional aspects of AI chatbots in consumer adoption, this study highlights the psychological and relational factors in affecting consumer search preferences and decision-making. View this paper
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Articles (97)

  • Article
  • Open Access
1 Citations
16,132 Views
21 Pages

As virtual influencers gain popularity, understanding the factors driving consumer responses is essential. However, limited research explores how perceived value (informativeness, entertainment, novelty, and incentives) and consumer engagement influe...

  • Article
  • Open Access
1 Citations
5,356 Views
16 Pages

With the rapid advancement of real-time interaction technologies and the continuous breakthroughs in marketing innovation, live streaming e-commerce has quickly become an essential marketing channel for brands. Its real-time and interactive nature si...

  • Article
  • Open Access
1,471 Views
33 Pages

In the post-digital era, virtual reality (VR) technology is increasingly being utilized in the real estate industry. In this study, the influence of functional experience with VR technology (e.g., interactivity and flexibility) on consumers’ of...

  • Article
  • Open Access
1,315 Views
20 Pages

The rapid growth of e-commerce and surges in shipment volumes have increased the pressure on transport systems, requiring innovations in collaborative logistics where consumers participate in dual roles as receivers and deliverers. However, existing...

  • Article
  • Open Access
1,368 Views
36 Pages

This study aims to identify and evaluate the essential design features, strengths, and limitations of a virtual reality (VR) application that has been developed to train an international sales force effectively for a premium global wine brand. The st...

  • Article
  • Open Access
5 Citations
3,642 Views
27 Pages

This study investigated Generation Z’s repurchase intention in social commerce environments by integrating three theoretical frameworks: the unified theory of acceptance and use of technology, signaling theory, and herding behavior. The researc...

  • Article
  • Open Access
1 Citations
2,078 Views
25 Pages

Images contain more visual semantic information. Consumers first view multimodal online reviews with images. Research on the helpfulness of reviews on e-commerce platforms mainly focuses on text, lacking insights into the product attributes reflected...

  • Article
  • Open Access
4,668 Views
19 Pages

The surge in digital transformation within financial technology has catalyzed the development of super-apps—comprehensive mobile applications designed to serve a multitude of a customer’s daily needs on a single platform. Despite their wi...

  • Article
  • Open Access
2 Citations
6,069 Views
29 Pages

This study investigates the impact of digital transactions on sustainable economic growth in Turkey, utilizing a vector autoregressive (VAR) model and quarterly data from 2006 to 2023. The results indicate a positive long-term association between dig...

  • Article
  • Open Access
4 Citations
5,113 Views
27 Pages

Premium fashion brands are increasingly adopting Generative Artificial Intelligence (GenAI) to reduce costs and enhance creativity. However, consumers have mixed perceptions of clothing with AI-generated patterns (CAGPs) launched by premium fashion b...

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J. Theor. Appl. Electron. Commer. Res. - ISSN 0718-1876