Search

The dawn of generative artificial intelligence (AI) has the potential to transform logistics and supply chain management radically. However, this promising innovation is met with a scholarly discourse grappling with an interplay between the promising capabilities and potential drawbacks. This conversation frequently includes dystopian forecasts of mass unemployment and detrimental repercussions concerning academic research integrity. Despite the current hype, existing research exploring the intersection between AI and the logistics and supply chain management (L&SCM) sector remains limited. Therefore, this editorial seeks to fill this void, synthesizing the potential applications of AI within the L&SCM domain alongside an analysis of the implementation challenges. In doing so, we propose a robust research framework as a primer and roadmap for future research. This will give researchers and organizations comprehensive insights and strategies to navigate the complex yet promising landscape of AI integration within the L&SCM domain.

This inductive research provides a deeper understanding of the digital transformation of retail supply chains and its underlying impact on supply chain strategy and operational structure. In this context, we develop a conceptual framework of digital retail supply chains to identify the key elements and their interactions. We offer a theoretically derived explanation of the ecosystem characterization of digital supply chains and show how retail supply chains fit this characterization. The supply chain ecosystem provides retail firms a way to strategize an organizational outlook that enables digitization of conventional supply chain processes. We find that emerging digital supply chains harness corporate digital awareness to operate within an ecosystem that iteratively guides the digital transformation process. The subsequent analysis highlights a digital transformation process that incorporates real‐time reporting, speed of discovery/action, visibility across the enterprise, and flexibility to react to environmental changes. Consequently, these contributing elements enable executional flexibility that is the hallmark of digital supply chains. We conclude by theorizing relevant research propositions that describe relational connections among the constituent elements of the digital supply chain framework and offer avenues for future research.

Driven by pressures from multiple stakeholders, supply chain transparency (SCT) has emerged as a phenomenon of increased interest. To address concerns about practices and processes at point of origin locations for raw materials in global supply chains, blockchain technology (BCT) has the potential to enhance SCT. Supply chain research has started to advance the field's understanding of SCT, but many questions remain, including how SCT should be conceptualized, how firms can effectively facilitate it, and the benefits of providing it, especially when BCT is utilized. The gaps suggest the need for fundamental theoretical development about the resources and capabilities underlying the development, application, and derived value of SCT. This research designed a case study around a BCT implementation project between a small artisan coffee producer and a startup BCT service provider. Using the resource orchestration perspective, the findings result in theoretical insights about how the mechanisms in structuring, bundling, and leveraging processes operate to offer SCT to stakeholders, and the value creation derived as a result.

Carrier selection is a specialized sourcing decision with sustainability impacts in every supply chain. This research tests the effects of a transportation carrier's economic, environmental, and social sustainability performance on a shipper's carrier selection decision. Underrepresented experimental methods are used to test an a priori hypothesis derived from behavioral decision theory logic. Results contradict commonly held win–win, trade‐off, and ecological perspectives of sustainable supply chain management by finding that the economic dimension of sustainability has the greatest effect on carrier selection. Our research highlights this managerial preference and offers a theoretically grounded explanation for selection behaviors. This is one of the first empirical studies to simultaneously consider all three dimensions of sustainability. It also moves beyond an internal focal firm focus to evaluate sustainability effects through the eyes of external supply chain members. Our unique approach and findings offer managerial opportunities for differentiation and resource allocation as well as policy implications for the broader transportation system.