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Supply chain risk management (SCRM) is a multi-stage process that handles the adverse impact of disruptions in the supply chain network (SCN), and various SCRM techniques have been widely developed in the literature. As artificial intelligence (AI) techniques advance, they are increasingly applied in SCRM to enhance risk management’s capabilities.

In the current, systematic literature review (SLR), which is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, we analysed the existing literature on AI-based SCRM methods without any time limit to categorise the papers’ focus in four stages of the SCRM (identification, assessment, mitigation and monitoring). Three research questions (RQs) consider different aspects of an SCRM method: interconnectivity, external events exposure and explainability.

For the PRISMA process, 715 journal and conference papers were first found from Scopus and Web of Science (WoS); then, by automatic filtering and screening of the found papers, 72 papers were shortlisted and read thoroughly, our review revealed research gaps, leading to five key recommendations for future studies: (1) Attention to considering the ripple effect of risks, (2) developing methods to explain the AI-based models, (3) capturing the external events impact on the SCN, (4) considering all stages of SCRM holistically and (5) designing user-friendly dashboards.

The current SLR found research gaps in AI-based SCRM and proposed directions for future studies.

The core objective of this research is to bridge the notable knowledge gap regarding the interplay between individual company supply chain resilience, digitalization and broader logistics performance metrics. This involves a close examination of how digital practices and mindsets contribute to both proactive and reactive supply chain resilience, as well as the impact on overall logistics performance and the logistics performance index (LPI).

This investigation was carried out through a study of medium-high technology Turkish manufacturing companies, paying particular attention to their engagement with digital technologies. A comprehensive analysis of multi-source data from 403 Turkish manufacturing companies was conducted using path analysis via structural equation modeling, aiming to elucidate the dynamics between these variables.

The study unveiled a markedly negative correlation between supply chain resilience and logistics performance within the context of developing nations such as Turkey. It further illuminated how different facets of digitalization distinctly influence the nexus between proactive and reactive supply chain resilience and overall logistics efficiency in these regions. Notably, a digital mindset was found to weaken the association between proactive resilience and the LPI while exacerbating the adverse effect of reactive resilience on the LPI.

The findings highlight the critical nature of strategic digital adoption and integration for bolstering supply chain resilience and logistics performance, particularly spotlighting the textile sector in developing countries. However, the study’s focus on Turkish manufacturing companies might limit the generalizability of the findings across different contexts and industries.

By underscoring the importance of digital integration in improving supply chain and logistics operations, this research suggests pathways for enhancing economic stability and growth in developing nations, ultimately contributing to broader societal well-being.

This study contributes novel insights into the complex relationship between supply chain resilience, digitalization and logistics performance, particularly in the context of developing economies. Its examination of the differential impacts of digitalization dimensions on this relationship offers valuable perspectives for academics, industry professionals and policymakers aiming to optimize supply chain strategies in the face of global challenges.

This study aims to investigate the factors influencing service employee work and personal well-being affecting their intention to leave the organization. This research explored the effects of service climate, resilience and workplace well-being (WWB) on service employee perceptions of subjective well-being and turnover intention. PERMA framework of individual flourishing and well-being (Seligman, 2011) was used to measure employee WWB and reflected their positive emotions, engagement, relationships, meaning and accomplishment.

Service employees (n = 250) completed an online self-administered survey. partial least squares structural equation (PLS-SEM) modeling and multi-group analysis (PLS-MGA) were utilized to test how gender differences influenced personal and organizational factors, and their impacts on PERMA dimensions and outcomes.

Results revealed a significant effect of service climate and resilience on PERMA. Only service employee work-meaning positively influenced SWB and negatively turnover intention. Examining each dimension of employee engagement showed similar impacts of service climate and resilience for both men and women, while absorption increased turnover intention for men.

To the best of the authors’ knowledge, this study is one of the first to test the PERMA framework as service employee WWB. The study advances the employee well-being line of research by exploring the impacts of service climate and resilience on PERMA dimensions. The PERMA framework was extended to examine three sub-dimensions of employee engagement as unique PERMA dimensions. This study advances the limited knowledge of how work and personal factors affect service employees’ work and subjective well-being from a gender perspective.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

During the postpandemic era, owing to the widespread integration of technology, a greater abundance of information is circulating among young consumers compared to any previous period. Consequently, there exists a possibility that the disseminated information may not be accurate and ultimately prove to be fake. The purpose of this study is to conceptualize fake news, the definition and drivers of fake news from the perspective of young consumers in the postpandemic period.

A qualitative study was undertaken in the current study. A total of 30 interviews were conducted utilizing semistructured questionnaires. The interviews were audio recorded and subsequently transcribed. The data was analyzed using the Gioia methodology.

The study proposes a definition of fake news from the perspective of young consumers. Further, drawing on attribution theory, the three categories of reasons for sharing fake news were delineated: content related, source related and user related.

Drawing on the findings of the study, policymakers and other stakeholders working on the issues of fake news can acquaint themselves with the underlying reasons. Furthermore, they can devise policies to prevent the sharing of fake news.

It is important for practitioners and society to understand the reasons behind the sharing of fake news among young consumers to combat the spread.

The present study will contribute to the literature by understanding the perspective of young consumers who intentionally or unintentionally share fake news. Additionally, attribution theory is used in the context of fake news to understand the dissemination behavior.