Journal of Business Logistics最新文献

With increasing resource shortages and environmental pollution, firms are increasingly relying on green technology application (GTA) to improve both environmental and financial performance. However, previous research found that the impact of GTA on both types of performance can be either positive or negative. Therefore, to understand the underlying mechanisms, we employ the meta-SEM method to explore the impact of GTA on environmental performance and financial performance, considering the natural resource-based view and socio-technical system theory. A meta-analysis is conducted to obtain the correlation matrix and establish a structural equation model to test the hypotheses. The results show that, first, it is difficult for firms to directly promote performance from GTA. GTA can only promote environmental performance through green innovation and green cooperation, and the mediating effect of green innovation is greater. Second, despite the direct negative impact of GTA on financial performance, it can promote financial performance through green innovation and the chain path. Third, internal environmental management can enhance all paths. Regarding the total effect, GTA has a significant positive impact on performance in both the environmental and financial dimensions. These results enrich extant knowledge on the relationship between GTA and firm performance.

We examine the potential of blockchain technology for carbon financing by organizations and within supply chains. Blockchain can provide transparent, trustworthy, secure, and efficient carbon-related transactions. Signaling and attribution theories inform the study that uses choice-based conjoint (CBC) experimentation to evaluate offsetting and insetting carbon finance investment scenarios. Factors on project attributes—including price, the scope of carbon finance project, blockchain adoption level, and stakeholder involvement—relationships to managerial investment decisions are investigated. We also investigate an important question on whether managerial ecological value propensity affects investment decisions and blockchain adoption preferences. The findings show that contrary to original suppositions, price was not as influential as presumed. Of greater concern to managerial decisions is the nature of carbon initiatives—the decision on whether to pursue carbon offsetting and/or insetting investments. Managerial environmental values significantly influenced decisions on carbon finance investments–with a preference for carbon reduction projects within their own supply chains. There is also an inclination for greater blockchain technology usage in carbon investment projects. Managers with greater ecological values were also more open to involving external parties favoring the adoption more extensive blockchain solutions. These results highlight blockchain's importance in making carbon finance projects more credible and trustworthy. Practically, the study highlights the importance of carbon finance project scope, nature, and blockchain technology in promoting sustainability initiatives. There are insights into a nuanced approach to addressing complexities of carbon finance within organizations and their supply chains.

Scholarly work within the supply chain management and logistics discipline has evolved substantially over the last several decades. Four giants of the field—Bowersox, Coyle, Heskett, and La Londe—left an indelible legacy worth exploring. The biographies and analysis of interviews conducted with each of these scholars illuminate the early beginnings of the field and its evolution and provide guidance for its future. By examining the collective perspectives of these founding figures, we gain a deeper, more personal understanding of the establishment and evolution of logistics as an academic discipline.

E-logistics service quality (e-LSQ) has been one of the primary constructs used in the logistics literature to capture customers' appraisals of delivery service performance in the business-to-consumer (B2C) context. While e-LSQ comprises key operational aspects of delivery performance, we posit that it overlooks other elements that are now present in emerging delivery models, such as crowdsourced delivery (CD). In this study, we follow a middle-range theory approach to capture the facets of delivery performance that are considered by customers in their assessments of e-LSQ during CD encounters. Using a large dataset consisting of customers' reviews of their delivery service experiences with Amazon Prime Now prior to and post-CD incorporation, we find that customers value a more nuanced operational dimension as well as relational and societal dimensions in their assessments of the delivery service. The findings of our qualitative analyses enrich the current understanding of customers' appraisals of delivery service encounters and lay the groundwork for reassessing e-LSQ, particularly in light of emerging delivery models like CD in online retailing.

Academic scholars and US political leaders have called for a better understanding of the connection between public policy and supply chain resilience. In this structured literature review we analyze and synthesize literature published in high-quality public policy and business journals at this intersection. We leverage existing frameworks in public policy and supply chain resilience to help analyze the relationships studied to date, resulting in a conceptual framework that elucidates the connections between public policy and resilience and leads to the development of a platform for future research inquiries. We encourage and provide guidance for future work in the space from both supply chain management and public policy scholars that can drive actionable results for policymakers, firm decision-makers, and the welfare of society.

This article conducts an in-depth review of the existing literature on network evolution, with an emphasis on understanding how supply chain networks change and evolve. This review has identified a total of 1148 articles in the area of network evolution, comprising 120 articles from business literature and 1028 articles from non-business literature. Adopting a structured approach, we provide a roadmap for supply chain network evolution (SCNE) to systematically build a multidimensional understanding of SCNE and bridge the gap between theoretical underpinnings and research methods useful to investigate SCNE. We first broaden the scope to identify insights on dynamic network evolution from a wider array of disciplines. Next, we categorize the drivers of SCNE identified within the business literature into exogenous and endogenous factors. We then synthesize theoretical frameworks that lay the groundwork for future research directions proposed in the context of these frameworks. Finally, we outline contemporary methodologies for studying network evolution and evaluate their relevance and application to the supply chain management (SCM) field. Collectively, this roadmap paves the way for a deeper, interdisciplinary understanding of SCNE and outlines a future research agenda, providing a forward-looking path for supply chain researchers to explore SCNE.

Increasing labor cost levels and workforce shortages have caused retailers to pay increased attention to their order-fulfillment operations, which continue to largely depend on manual order picking systems. The operations and logistics management literature suggests that optimizing tertiary packaging, which groups products into full unit loads for storage and shipping, is an important way to improve order picking performance. While most retailers handle products at the level of secondary packaging when fulfilling orders, this packaging level remains largely unexplored. To address this gap, we analyze 3,380,596 picks performed by 185 order pickers of 4957 products in a grocery retail warehouse in Germany. Our findings indicate that secondary packaging characteristics directly affect order picking performance and that this effect is moderated by traditional product characteristics (e.g., product weight and volume), as well as elements of warehouse design (e.g., pick and stack levels). From a managerial perspective, our findings may help to bridge the gap between logistics managers and packaging engineers and provoke further research on the trade-off between operational and environmental performance.