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Ebook: EI 441 Multiply Your Business Value Through Brand and AI By Rajan Narayan | Ebook: EI 442 Small Goes Digital : How Digitalization Can Bring By International Labour Office | Ebook: EI 443 The Digital Seeker : A Guide for Digital Teams to By Raj K. De Datta | Ebook: EI 444 Digital Entrepreneurship: Future Directions By Rashmi Aggarwal |
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| Articles |
| Using Artificial Intelligence to Determine the Impact of E-Commerce on the Digital Economy. By Dumiter, Florin Cornel;Schebesch, Klaus Bruno Journal of Theoretical & Applied Electronic Commerce Research. Sep2025, Vol. 20 Issue 3, p219. 40p. Abstract :E-commerce indicators are very complex and have a wide range of levels of complexity and applications. The digital economies that we are oriented towards also have complex features in terms of consumers and businesses. The research objectives are focused on determining the impact of e-commerce on the digital economy within countries with different stages of economic development, digitalization techniques, and e-commerce usage. This study evaluates how AI-based clustering reveals patterns in the e-commerce indicators influencing the digital economy. The research methods used are focused on AI techniques in order to evaluate and assess the usage of e-commerce in the digital economy. In this sense, the methods used in this research are clustering techniques in order to determine the stage of implementation of the digital economy. The research implications have a worldwide impact and soundness in establishing the evolution of the e-economy in different types of countries with different stages and levels of digitalization and different e-commerce development paths. The empirical results show there are significant differences between countries due to cultural, economic, social, and judicial differences. The conclusions of this study highlight that using AI techniques can be a solution for enhancing future digital economy development and labor market consolidation, especially by strengthening e-commerce indicator usage and application. | |||
| How Visual and Mental Human-Likeness of Virtual Influencers Affects Customer–Brand Relationship on E-Commerce Platform. By Zhang, Liangbo;Mo, Linlin;Sun, Xiaohui;Zhou, Zhimin;Ren, Jifan Journal of Theoretical & Applied Electronic Commerce Research. Sep2025, Vol. 20 Issue 3, p200. 18p. Abstract :Virtual influencers (VIs) on e-commerce platforms are becoming increasingly popular, enhancing the consumer experience. This study examines the consumer–brand relationship (CBR) with VIs through the perspective of social presence. Data from 1041 e-commerce platform users (e.g., Douyin, RED, Weibo) were collected and analyzed using Structural Equation Modeling (SEM). The findings reveal that both the visual and mental human-likeness of VIs significantly strengthen CBR, with social presence acting as a mediator. Additionally, the interaction between visual and mental human-likeness positively impacts social presence, which in turn enhances CBR. Moreover, consumers` need for uniqueness moderates the relationship between social presence and CBR, providing valuable insights for virtual influencer strategies in e-commerce. This research suggests the feasibility of leveraging VI design both visually and mentally to capture new trends in developing effective virtual campaigns with digitization and metaverse technologies. This study extends the stream of research VIs use for interactive marketing, highlighting the role of parasocial relationships in interactive marketing. These findings can provide managers with a better understanding of VI design from both visual and mental aspects. | |||
| Identification and Evaluation of Key Risk Factors of Live Streaming e-Commerce Transactions Based on Social Network Analysis. By Zhang, Changlu;Wang, Yuchen;Zhang, Jian Journal of Theoretical & Applied Electronic Commerce Research. Sep2025, Vol. 20 Issue 3, p169. 26p. Abstract :As an emerging e-commerce model, live streaming e-commerce integrates instant interaction, content marketing, and online sales to bring consumers a new shopping experience. However, there are many risks in the process of live e-commerce transactions. Identifying key risk factors and implementing targeted control measures are crucial for promoting the sustainable and healthy development of live streaming e-commerce. This paper firstly constructs a business model of live streaming e-commerce transactions according to the transaction scenario and summarizes 24 risk factors from the three dimensions of live streaming e-commerce platforms, merchants, and anchors based on relevant national standards and other relevant literature. Secondly, the Delphi method is employed to modify and optimize the initial risk factors. On this basis, the social network model of risk factors is constructed to determine the influence relationship among risk factors. By calculating the degree centrality, factor types are segmented, and key risk factors as well as influence paths are identified. Finally, corresponding countermeasures and suggestions are proposed. The results indicate that Credit Evaluation System Perfection, Service Evaluation System Perfection, Qualification Audit Mechanism Perfection, Dispute Complaint Handling Channels Perfection, Risk Identification Mechanism Perfection, Platform Qualification, Merchant Qualification, and Merchant Credit are the critical risk factors affecting live streaming e-commerce transactions. | |||
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| News |
| FDI policy rejig: Centre seeks views on allowing inventory-based e-commerce for exports; DGFT, DPIIT examining proposal By Times of India; 2nd November 2025 |
| Commerce Ministry explores export-only inventory model to lift India’s e-commerce trade By Financial Express; 2nd November 2025 |
| America is trying to force open an e-commerce door that India has kept closed for long By Mint; 13th Oct 2025 |
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