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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 435 Digital Business Transformation : How Established By Nigel Vaz |  Ebook: EI 436 Transitioning to Virtual and Hybrid Events : How t By Ben Chodor and Gabriella Cyranski |  Ebook: EI 437 The Cost of Free Shipping : Amazon in the Global E By Jake Alimahomed-Wilson and Ellen Reese |
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| Articles |
| Advance selling strategy and pricing decisions with online reviews. By Tang, Ming‐Zhao;You, Tian‐Hui;Cao, Bing‐Bing International Transactions in Operational Research. Sep2025, Vol. 32 Issue 5, p3108-3137. 30p. Abstract :Motivated by marketing practices in advance selling, this paper studies the optimal pricing decisions and advance selling strategy with online reviews. The firm may charge a full or partial price in advance selling and then determine whether to continue selling products in the spot market. We characterize the equilibrium pricing decisions, selling scheme, and advance selling strategy in the monopoly market. We find that no matter what kind of advance selling strategy is implemented, the firm should choose the two‐period selling scheme instead of the one‐period one to market the product. Notably, when the two‐period selling scheme is chosen, either the skimming pricing or the penetration pricing may be optimal for the firm. Specifically, when the review valence is significantly lower, the skimming pricing is always favored by the firm; otherwise, the penetration pricing is more profitable. Moreover, the disclosure quality and review valence jointly affect the choice of firm`s optimal advance selling strategy. In detail, advance selling with a full‐price strategy is always dominant if the disclosure quality is high; otherwise, the firm`s optimal advance selling strategy is determined by the review valence. Meanwhile, we also analyze several extensions to explore meaningful insights and provide decision‐making support for the firm facing a complex marketing environment. | |||
| The Impact of E-Commerce Development on Enterprise Innovation. By Du, Xinming;Yang, Tianshan;Zhang, Dansha Chinese Economy. Aug2025, p1-13. 13p. Abstract :The production, operation and trading methods of enterprises have seen great changes with the rapid development of e-commerce. This article empirically studies the relationship between the level of e-commerce development and enterprise innovation by using Chinese provincial e-commerce development data and Chinese listed company data. It is found that the development level of e-commerce significantly promotes the improvement of enterprise innovation level. The development of e-commerce can enhance enterprise innovation through two potential channels: alleviating corporate financing constraints and improving operational efficiency. The development of e-commerce to enhance the improvement of enterprise innovation is more significant in large-scale enterprises and state-owned enterprises. | |||
| Automated Runtime Verification of Security for E-Commerce Smart Contracts. By Liu, Yang;Zhang, Shengjie;Ma, Yan Journal of Theoretical & Applied Electronic Commerce Research. Jun2025, Vol. 20 Issue 2, p73. 25p. Abstract :As a novel decentralized computing paradigm, blockchain is expected to disrupt the existing e-commerce architecture and process. Secure smart contracts are the crucial foundation for e-commerce based on blockchain. However, vulnerabilities in smart contracts occur from time to time and cause significant financial losses in e-commerce. Some static verification methods have been developed to guarantee security for e-commerce smart contracts at design time, but they cannot support complex scenarios at runtime. As a lightweight verification method, runtime verification is a potential method for secure e-commerce smart contracts. The existing runtime verification methods are based on the manual instrument, which leads to additional overheads and gas consumption. To deal with this, we propose a passive learning-based runtime verification framework for e-commerce smart contracts. Firstly, by exploring the Genetic algorithm to evolve state merging and automaton reorganizing in order to simultaneously split time and gas behaviors, we propose a passive learning method to model runtime information for e-commerce smart contracts (PL4ESC). It directly learns P2TA (priced probabilistic timed automaton) from runtime traces without any prior knowledge. Then, we integrate PL4ESC with the open-source PAT (Process Analysis Toolkit) to automatically verify the security of runtime e-commerce smart contracts. The experiments show that PL4ESC is better at accuracy and precision than state-of-the-art passive learning methods. It improves accuracy by 1 to 4 percent compared to TAG and RTI+. As far as we know, it is not only the first learning method that can learn a P2TA from traces, but it is also the first automated runtime verification framework for e-commerce smart contracts. This will provide security guarantees for blockchain-based e-commerce. | |||
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| News |
| Festive demand sparks big hiring spree, product expansion across e-commerce and retail By Fortune India, 02nd September 2025 |
| A lull falls over e-commerce in India before GST reforms. But, things change By Hindustan Times; 31st August 2025 |
| Accel leads $47 million funding in e-commerce startup CityMall By Times of India; |
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