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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 426 Digital Business Transformation : How Established By Nigel Vaz |  Ebook: EI 427 Enterprise Artificial Intelligence Transformation By Rashed Haq |  Ebook: EI 428 Consumer Protection in e-Retailing in ASEAN By https://www.proquest.com/legacydocview/EBC/6455411 |
| Click Here to learn about the Recent Books added to our collection on different topics of Management. |
| Articles |
| Business Model Activities in C2C eCommerce. By Hokkanen, Harri Journal of Business Models. 2025, Vol. 13 Issue 1, p119-145. 27p. Abstract :Purpose: Business models aiming to extend product lifecycles are recognized as a market opportunity in retailing. While many retailers are evaluating their ambition to participate in the secondary market, prior C2C literature is showing only scarce attention to exploring it from the business perspective. The purpose of this explorative study is to identify and analyze business model value-creating activities in the context of C2C ecommerce. Design/methodology/approach: This multiple case study focuses on firms that instead of having pre-existence in traditional markets were established in the online environment from the o;set. Each of the 18 case examples serve multisided C2C ecommerce markets (i.e., unstructured consumer markets), enabling supply and demand of used goods. The data includes descriptions of 362 identified actions systematically performed by the firms analyzed through qualitative research methods (formal content analysis, categorization, and comparison). Findings: The findings are presented inductively to help understand the current design of C2C ecommerce BMs, and also to generate a broader view of how traditional retailing can be challenged in the future. The findings identify the content of activity systems used in various business model types in secondary markets and compare the impacts of the choices between activity system structure, actors roles and burden of governance allocation. Originality/value: This study is among the first attempts to adopt a business perspective to previously consumer centric C2C ecommerce research. By doing this, the paper builds on the foundation of activity systems, lowering the level of abstraction in existing conceptual business model literature and providing tools to compare linear- and/or network-based business models. Furthermore, the findings provide new insights for firms that pursue, participate or refuse to enter the online-based secondary market. | |||
| Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces. By Gallino, Santiago;Karacaoglu, Nil;Moreno, Antonio Manufacturing & Service Operations Management (M&SOM). May/Jun2025, Vol. 27 Issue 3, p917-934. 18p. Abstract :Problem definition: Online marketplaces have revolutionized online sales by creating platforms that connect millions of buyers and sellers. Although the presence of numerous third-party sellers attracts customers, it also results in a proliferation of listings for each product, making it difficult for customers to choose between the available options. To address this issue, online marketplaces employ algorithmic tools to curate and present different product listings to customers. Although tools that assist customers in choosing between different products, such as recommender systems and reviews, have been studied extensively, there is limited evidence regarding tools that help customers choose between different listings of the same product. This paper focuses on the buybox algorithm, an algorithmic tool that prominently presents one option as the default choice to customers. | |||
| A High-Dimensional Choice Model for Online Retailing. By Jiang, Zhaohui;Li, Jun;Zhang, Dennis Management Science. Apr2025, Vol. 71 Issue 4, p3320-3339. 20p. Abstract :Online retailers are facing an increasing variety of product choices and diversified consumer decision journeys. To improve many operations decisions for online retailers, such as demand forecasting and inventory management and pricing, an important first step is to obtain an accurate estimate of the substitution patterns among a large number of products offered in the complex online environment. Classic choice models either do not account for these substitution patterns beyond what is reflected through observed product features or do so in a simplified way by making a priori assumptions. These shortcomings become particularly restrictive when the underlying substitution patterns get complex as the number of options increases. We provide a solution by developing a high-dimensional choice model that allows for flexible substitution patterns and easily scales up. We leverage consumer clickstream data and combine econometric and machine learning (graphical lasso, in particular) methods to learn the substitution patterns among a large number of products. | |||
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| News |
| India a huge opportunity in ecommerce: Walmart executive Kathryn McLay By Business Standard; May 29, 2025 |
| E-commerce platforms must audit, eliminate ‘dark patterns’, says Minister By Indian Express; May 29, 2025 |
| Walmart won’t rush Flipkart to profitability By Financial Express; May 29, 2025 |
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