Journal of Business Logistics最新文献

The Journal of Business Logistics has been the top location for publishing logistics and supply chain-related technological research for over forty years. With digital transformation, reshoring of manufacturing, labor shortages, decreasing birth rates, and aging workforces, companies are increasingly adopting artificial intelligence-supported robotics to increase the ability of supply chains to react quickly and effectively to changes in customer demand, market conditions, or disruptions. This paper analyzes the use of hardware robots across the logistics fulfillment process. The study addresses the evolution of robotic training from explicit programming to machine learning and continues with a detailed discussion of generative machine learning. We then provide an overview of key hardware robots driven by generative machine learning models that are used in the fulfillment process. The paper examines the challenges that robot adoption presents to organizations and concludes with explicit directions for further research using the Theory of Resource Orchestration.

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.