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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
Ebook: EI 451 Handbook of Research on the Platform Economy and t By Myriam Ertz | Ebook: EI 452 Digital Business Strategy: An Investigation of Gen By Kurtz, Hannes |  Ebook: EI 453 The Warehouse : Workers and Robots at Amazon By Alessandro Delfanti |
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| Articles |
| AI technology sharing strategies for e-commerce platforms with private label introduction. By Liu, Yuxuan;Lu, Qihui;Ghamat, Salar International Journal of Production Research. Jan2026, p1-22. 22p. 8 Illustrations. Abstract :As the online retail market expands and brand competition intensifies, e-commerce platforms and retailers are facing increasing service and operational costs. The emergence of artificial intelligence (AI) technology has transformed the consumer shopping experience while simultaneously reducing retailers` operational costs. However, platforms must judiciously balance the operational efficiency improvements enabled by AI technology with the potential risks stemming from intensified competition and rising technology adoption costs. This study constructs a two-stage supply chain model involving a retailer and a platform, who are selling national brand products and substitutable private label brand, respectively. The platform strategically adopts and shares AI technology with retailer to optimise sales performance. We systematically analyze the viability of AI adoption and its impact on brand competition. The findings suggest that under moderate cost conditions, the platform`s AI adoption may result in a lose–lose situation for both firms. When AI R&D costs are low, sharing AI technology, despite potentially weakening the platform`s private-label competitiveness and reducing overall market demand, can still lead to a win-win situation for both parties. Additionally, extended analysis indicates that changes in consumer preferences have a limited effect on AI investment decisions, although different AI applications may introduce more complex supply chain dynamics. | |||
| Marketing machines at work: performing e-commerce by assembling, adjusting, and maintaining a complex market device. By Fuentes, Christian;Stoopendahl, Patrik Journal of Marketing Management. Nov2025, Vol. 41 Issue 15/16, p1754-1778. 25p. Abstract :This paper aims to explore and conceptualise the marketing work of e-commerce managers. It draws on an ethnographically inspired study involving 21 e-commerce managers and approaches marketing work as a set of socio-material practices. The analysis shows that the marketing work of e-commerce managers centres on assembling, adjusting, and maintaining `marketing machines` – complex market devices designed to perform marketing work. These heterogeneous arrangements comprise digital technologies, staff and their competencies, and organisational procedures. When put together, these marketing machines work to calculate demand, develop a product assortment, advertise and promote products, sell and deliver products, and provide customer service. The paper concludes by discussing the implications of the device-focused analysis of marketing work for our understanding of the digitalisation of marketing. | |||
| Equilibrium analysis of live-streaming e-commerce supply chain in the AI era. By Liu, Shuai;Xu, Xiaoyan;Cheng, T. C. E. International Journal of Production Research. Nov2025, p1-19. 19p. 6 Illustrations. Abstract :Live-streaming e-commerce is an emerging online shopping channel that provides consumers with a satisfying shopping experience. This paper explores the operational and strategic implications of integrating artificial intelligence (AI) into live-streaming, focussing on the partial uncertainty elimination effect of AI avatar streamers and the full uncertainty elimination effect of real human streamers. We develop game-theoretical models to evaluate whether the retailer or the manufacturer should engage in AI and traditional live-stream selling under different selling modes, i.e. reselling mode and marketplace mode. We find that highly polarised AI costs, i.e. either extremely high or extremely low, and low human costs make it easier for the retailer to profit from AI live-stream selling under both selling modes. With high hassle costs, AI live-streaming`s pricing advantage weakens, and the retailer may lower prices to enhance its competitiveness. Interestingly, implementing AI live-streaming changes how commissions impact the choice of the selling mode in the context of live-streaming. Our results provide several practical managerial implications for effectively integrating AI into live-stream selling, ensuring that AI integration delivers tangible benefits in real-world settings. | |||
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| News |
| The Evolution of Quick Commerce in India: A Sectoral Analysis By IBEF; 6th Jan 2026 |
| Budget 2026: Customs levy on e-commerce - Is India ready to levy duty on digital goods? By Times of India; 30th Jan 2026 |
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