Yajiao Li

Bio: Yajiao Li is an academic researcher from College of Management and Economics. The author has contributed to research in topics: Supply chain & Supply chain risk management. The author has an hindex of 1, co-authored 1 publications receiving 72 citations.

Quick response and supply chain structure with strategic consumers

Abstract: This work explores the impact of quick response on supply chain performance for various supply chain structures with strategic customer behavior. By investigating pricing and inventory decisions in decentralized supply chains under revenue-sharing contracts and in centralized supply chains, we study the performance of four various systems and compare the value of quick response in different supply chain structures. The results show that if the extra cost of quick response is relatively low, the value of quick response would be greater in centralized systems than in decentralized systems. On the other hand, if the extra cost is high, decentralized supply chains reap more incremental profits from adopting quick response. We also find that revenue-sharing contracts enable a decentralized supply chain to outperform a centralized supply chain, but only allow limited flexibility of allocating total profits between a manufacturer and a retailer.

The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era

Abstract: Supply chain operations have entered the digital era with the emergence of blockchain technology. In this paper, we discuss how the mean–variance (MV) approach can be applied to explore global supply chain operations risk with air logistics in the blockchain technology era. To be specific, we examine the related literature from four areas, namely air-logistics operations, demand management, supply management, and supply-demand coordination. We propose how the blockchain technology can be applied to facilitate the implementation of mean-variance risk analysis for global supply chain operations. We then highlight several promising areas for further studies. A future research agenda is developed.

Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era

Abstract: In this paper, we study the fashion quick response program with social media observations, demand forecast updating, and a boundedly rational retailer. We analytically find that the likelihood of having good social media comments on the product plays a critical role in affecting the value of quick response, and its impact is mediated by the fashion retailer’s prior attitude towards the market demand. We then demonstrate how a Pareto improving situation can be achieved under quick response, and uncover that manipulating social media comments can benefit the manufacturer under the surplus sharing contract, but not under the two-part tariff contract.

Competing with Copycats When Customers Are Strategic

Abstract: In this paper, we use a two-period game theoretical model to examine the decisions of a manufacturer and a copycat firm who are competing for strategic customers. The manufacturer decides on the amount of its market expansion advertising investment in the first period and on its pricing strategy in both periods. Advertising increases the “size of the pie,” but eventually the manufacturer may end up inadvertently sharing the benefits with the copycat. After the first period, the copycat makes a market-entry decision, and, if it opts to enter, it also decides on a pricing strategy. The customers are strategic, and they decide whether or not to buy, when to buy, and which product to buy. We find that, interestingly, lower quality levels of the manufacturer’s product may increase the manufacturer’s prices and profit. Moreover, the manufacturer may be worse off when customers are more likely to purchase its product immediately rather than wait for a price reduction or for the copycat’s product. Finally, the co...