Digital transformation has had an unprecedented influence on all sectors of business over the last decade. We are now entering an era characterized by the extensive digital transformation of businesses, society, and consumers. Therefore, digital transformation has become a pivotal focus for organizations across various sectors in recent years. Despite differing scholarly perspectives on the concept and elements of digital transformation, a consensus exists that it significantly impacts consumer decisions and necessitates organizational adaptation. Recent challenges such as the COVID‐19 pandemic have further accelerated the need for digital transformation and its effects on consumers. This necessitates an editorial perspective on this most important topic to establish future research agenda encompassing the various dimensions of digital transformation. The purpose of this editorial perspective is to review research on digital transformation from a multidisciplinary viewpoint and provide insights into several key domains—Internet‐of‐Things, social media, mobile apps, artificial intelligence, augmented and virtual reality, the metaverse, and corporate digital responsibility—that are poised to fuel the pace of digital transformation. Each domain is analyzed through a lens of introduction, role, importance, multifaceted impact, and conclusions. Future research directions are suggested.

Purpose: The relevance of analytics to the healthcare supply chain is increasing with emerging trends and technologies. This study examines how analytics are used in the healthcare supply chain in the “new normal” environment.Design/methodology/approach: A systematic literature review was conducted by extracting research articles related to analytics in the healthcare supply chain from Scopus. The author used a hybrid review approach that combines bibliometric analysis with a theories, contexts, characteristics, and methodology (TCCM) framework-based review to identify various themes of analytics in the healthcare supply chain.Findings: The hybrid review strategy yielded results that focus on prevalent theories, contexts, characteristics, and methodologies in the field of healthcare supply chain analytics. Future research should explore the resulting antecedents, decision-making processes and outcomes (ADO) framework, which integrates technological, economic, and societal concerns and outcomes. Future research agendas could also seek to apply theoretical perspectives in the field of analytics in the healthcare supply chain.Originality/value: The result of a review of selected studies adds to the current body of work and contributes to the growth of research in the field of analytics in the healthcare supply chain. It also provides new directions to healthcare supply chain managers and academic scholars.

This study explores the use of digital technologies by food supply chain firms to enhance circular practices, aiming to boost the social, economic, and environmental sustainability of food supply chains. The literature on digital technologies in the food supply chain has experienced significant growth in the last few years. Given the critical importance of these technologies, there is an urgent need for a thorough systematic literature review to integrate and reconcile the findings. This research uses SPAR-4 SLR with the theories, context and methods (TCM) framework to synthesize the body of literature on digital technologies for circular and sustainable food supply chain. The study integrates existing knowledge to propose future research directions, while also addressing identified gaps in theories, methods and contexts.

The Internet of Vehicles (IoV) scenarios prominently feature resource access, information sharing for user navigation and infrastructure-based communications. External attackers and illegitimate data circulations are thwarted primarily through secure sharing and access controls. Authenticity, accessibility, and privacy of shared information resources might be affected if adverse and unauthorized access or false access are allowed to enter in IoV networks. This article provides an augmenting security approach for handling multi-vehicle resource access requests and sharing. The approach named as Dynamic Secure Multi-Access Scheme (DSMAS) that formulates access policies with amendments from the interacting infrastructure units. The amendments are identified from the resource access span and access success ratio observed in a series of intervals. Support vectors play a crucial role in the amendment decision-making process by effectively mitigating the risks associated with incorrect and delayed accesses. The intervals during which access is provided to vehicles are secured by the utilization of two-factor authentication keys for a specified period. In this process, the key validity relies on the interval time for which the access is granted. The dynamic nature of the system enables the adaptation of connection handovers and resource availability to comply with the access policies of the cloud infrastructure. The efficacy of the proposed scheme is assessed by the evaluation of access time, success rate, authentication time, and disconnection ratio, revealing its superiority over existing approaches.