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In this study we argue that recognising humanitarian logistics (HL) as a complex system is a key step in developing supply chain design and management strategies that meet the needs of stakeholders. This study draws on complex adaptive systems theory to examine the characteristics and implications of complexity for HL. Through case-study research of humanitarian responses in Haiti and Pakistan, characteristics of complexity across organisational boundaries are identified. We find that the complexity of the context impacts the outcome of the humanitarian response and conclude that HL must not only react to its environment, it must also create its environment. As HL must work within significantly differing environments to create solutions, the standardised approaches used to manage supply chains are less desirable. While this paper focuses on HL, wider applicability to other complex logistics operations is also discussed, informing the design and management of contextually specific supply chains. [ABSTRACT FROM AUTHOR]

Purpose: Many supply chains have faced disruption during Covid-19. Artificial intelligence (AI) is one mechanism that can be used to improve supply chain resilience by developing business continuity capabilities. This study examines how firms employ AI and consider the opportunities for AI to enhance supply chain resilience by developing visibility, risk, sourcing and distribution capabilities. Design/methodology/approach: The authors have gathered rich data by conducting semistructured interviews with 35 experts from the e-commerce supply chain. The authors have adopted a systematic approach of coding using open, axial and selective methods to map and identify the themes that represent the critical elements of AI-enabled supply chain resilience. Findings: The results of the study highlight the emergence of five critical areas where AI can contribute to enhanced supply chain resilience; (1) transparency, (2) ensuring last-mile delivery, (3) offering personalized solutions to both upstream and downstream supply chain stakeholders, (4) minimizing the impact of disruption and (5) facilitating an agile procurement strategy. Research limitations/implications: The study offers interesting implications for bridging the theory–practice gap by drawing on contemporary empirical data to demonstrate how enhancing dynamic capabilities via AI technologies further strengthens supply chain resilience. The study also offers suggestions for utilizing the findings and proposes a framework to strengthen supply chain resilience through AI. Originality/value: The study presents the dynamic capabilities for supply chain resilience through the employment of AI. AI can contribute to readying supply chains to reduce their risk of disruption through enhanced resilience. [ABSTRACT FROM AUTHOR]

Purpose Firms are increasingly held accountable for the welfare of workers across entire supply chains and so it is surprising that standard forms of governance for socially sustainable supply chain management have not yet emerged. Assessment initiatives have begun to develop as a proxy measure of social sustainable supply chain management. This research aims to examine how social sustainability assessment initiatives instigate and use institutional pressures to drive third-party accreditation as the legitimate means of demonstrating social sustainability in a global supply chain.Design/methodology/approach Ten assessment initiatives focused on assuring social sustainability across supply chains are examined. Data are collected through interviews with senior managers and publicly available secondary material.Findings The findings show how the social sustainability assessment initiatives act by instigating institutional pressures indirectly rather than directly. Coercive pressures are the most prevalent and are exerted through consumer and compliance requirements. The notion of pressures operating as a chain is proposed, and the recognition that actors within and outside of a supply chain are crucial to the institutionalization of social sustainability is discussed.Originality/value Studies on sustainable supply chain management often focus on how companies sense and act upon institutional pressures. To add to the extant body of knowledge, this study focuses on the sources of the pressures and demonstrates how assessment initiatives use coercive, normative and mimetic pressures to drive the adoption of social sustainability assessment in supply chains. [ABSTRACT FROM AUTHOR]