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.

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

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.

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

Quick Response in Supply Chains with Stochastically Risk Sensitive Retailers

Typology and literature review on multiple supplier inventory control models

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...

Competing with Copycats When Customers Are Strategic

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.

/pdf/quick-response-and-supply-chain-structure-with-strategic-1tvgmmgre3.pdf

Quick response and supply chain structure with strategic consumers

Recently, the promotion of safety participation (SP) has become a hot spot in behavioral safety research and safety management practice. To explore the relationship between safety leadership (SL) and SP, a theoretical model was established and 33 articles (35 independent samples) on work safety from 2000 to 2021 were selected for a meta-analysis. By evaluating the impact of SL, which incorporates transformational, transactional, and passive leadership styles, on work safety. The results show that SL has a positive impact on both safety climate (SC) and SP. Both safety transactional leadership (STAL) and safety transformational leadership (STFL) positively impact SP, and the impact of STFL is greater, while safety passive leadership (SPL) has no impact on SP. The study establishes that SC plays a partial mediating role between transformational SL and employee SP. Under the condition of a developed economic level or high-risk industry, SL indicated a greater influence on SP. Hence, it is recommended that when enhancing the SP of employees, the influence of the macro environment and SC should not be undermined.

/pdf/the-effect-of-safety-leadership-on-safety-participation-of-e7kkdidw.pdf

The Effect of Safety Leadership on Safety Participation of Employee: A Meta-Analysis


Purpose
The purpose of this study is to systematically analyze the relationships between green supply chain management (GSCM), enterprise environmental performance (EEP) and the moderating role of the market environment, regional culture, sampling area and industry type.


Design/methodology/approach
This study constructed a comprehensive theoretical model and used a meta-analysis of 65 independent samples (total sample size: 14,196) to examine the relationships between GSCM and EEP.


Findings
The results show that GSCM has a moderate positive impact on EEP. Moreover, all dimensions of GSCM positively influence EEP, and internal environmental management has the most significant effect. Additionally, these two relationships can be moderated by the market environment, regional culture, sampling area and industry type.


Originality/value
This study reveals that GSCM can help improve EEP and draw more general and regular conclusions. This study expands the application of meta-analysis methods in GSCM, partly avoiding the limitations of traditional empirical research methods. In addition, the conclusion of this study explains the reasons for the differences in different research results: some scholars did not incorporate market environment, regional culture, sampling area and industry type as moderators in the research process, thus leading to divergent conclusions in the relationship between GSCM and EEP. Therefore, the research conclusion enriches the theoretical research boundary of GSCM.


Daojian Yang

Papers

Quick response and supply chain structure with strategic consumers

The Effect of Safety Leadership on Safety Participation of Employee: A Meta-Analysis

The impact of green supply chain management on enterprise environmental performance: a meta-analysis