Staff publications (BAM)

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Browsing Staff publications (BAM) by Subject "3509 Transportation, Logistics and Supply Chains"

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    A sustainable supply chain finance ecosystem: a review and conceptual framework
    (Elsevier, 2025-08) Liao, Ziling; Prataviera, Lorenzo Bruno; Ghadge, Abhijeet; Abushaikha, Ismail
    Supply chain finance (SCF) is a set of instruments for optimizing working capital and improving supply chain efficiency. The evolving field of sustainable supply chain finance (SSCF) extends SCF with a growing focus on sustainability. While existing research has primarily focused on the economic benefits of SCF, its potential to generate broader sustainability benefits across environmental, social, and governance dimensions has received limited attention. Moreover, discussions on SSCF solutions and stakeholder interactions remain insufficient, necessitating further exploration to consolidate current research. This study seeks to explore the role of sustainability in SCF and proposes an SSCF ecosystem. A systematic literature review (SLR) of SCF and sustainability resulted in the analysis of 70 interdisciplinary journal papers published between 2008 and 2023. The SSCF ecosystem is defined as a collaborative network of stakeholders leveraging financial tools and sustainability metrics to create shared value and sustainability goals across the supply chain. By applying stakeholder theory and CIMO logic, the study develops a conceptual framework to explain how SSCF mechanisms and interventions produce desirable outcomes for stakeholders. Key influencing factors were identified across four sustainability dimensions—economic, environmental, social, and governance—along with core stakeholders, including buyers, financial institutions, and suppliers, supported by technology/logistics providers and ESG information providers. The study contributes by linking stakeholders to two distinct categories of SSCF solutions: buyer-centric accounts payable financing and supplier-centric accounts receivable financing. Lastly, it proposes future research directions by examining SSCF as an independent subject and capturing its links to traditional SCF.
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    Additive manufacturing in edible product supply chain: a sustainable perspective
    (Springer, 2025-08-07) Li, Wenqi; Ekren, Banu Y.; Aktas, Emel
    As the quest for healthier lifestyles intensifies, there is a growing demand for customized nutritional options, challenging the traditional food supply chain with its perishable goods and unpredictable demand patterns. This paper explores the potential of additive manufacturing, or 3D printing, as an innovative solution to these challenges. We present a conceptual framework to assess the impact of AM on the supply chain of edible products, including food and medicine, through the lens of sustainability—encompassing environmental, social, and economic perspectives. Our systematic literature review identifies five key strategies through which AM can enhance supply chain sustainability: distributed localized manufacturing, in-house production, delayed production, mass customization, and on-demand production. This research contributes valuable insights for industry practitioners and policymakers, guiding them toward exploiting AM's potential to revolutionize the sustainable supply chain management of edible products. Our findings highlight the transformative capabilities of AM and set the stage for future research directions in the nexus of additive manufacturing and sustainable supply chain practices.
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    Autonomous vehicle adoption and supply chain social sustainability: Delphi study and expert interviews
    (Emerald, 2025-04-04) Gu, Chengzhen; Reefke, Hendrik; Yates, Nicola
    Purpose Autonomous vehicle (AV) adoption has both positive and negative impacts on supply chain social sustainability (SCSS). This paper explores and evaluates the actions that organisations take to address the social impacts of adopting AVs and develops a model for SCSS in this context. Design/methodology/approach This study implemented a Delphi study conducted over three iterative rounds to gather and evaluate the actions that organisations take to address social impacts when adopting AVs in supply chains. The panel consisted of 39 experts from industry and academia. The Delphi findings are validated and extended through 14 follow-up expert interviews. Findings Our findings identify eight categories of actions used to address the social impacts of adopting AVs in the supply chain. These are discussed in relation to established SCSS indicator categories and an additional category, “reputation” is introduced. The categories are also aligned to the technology adoption process to understand how social sustainability implications can be mitigated as AV adoption matures. Practical implications Practitioners benefit from prescriptive frameworks which provide actions addressing the social sustainability implications of AV adoption. These can be applied either from a social sustainability indicator or innovation adoption process perspective. Originality/value This study builds on the diffusion of innovation (DOI) theory to propose a refined innovation process model for socially sustainable adoption of AVs. This customised model aligns the new action categories with the established stages of the innovation adoption process, uniquely illustrating how to manage the social sustainability impacts of AV adoption as part of the technology adoption process. Identified social supply chain indicator categories are also aligned with the actions for an alternative perspective.
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    Leveraging animal feed supply chain capabilities through big data analytics: a qualitative study
    (Emerald, 2025) Abushaikha, Ismail; Bwaliez, Omar M.; Yaseen, Marwa; Hamadneh, Samer; Darwish, Tamer K.
    Purpose Although big data analytics (BDA) has gained widespread interest in supply chain management (SCM) literature in recent years, our understanding of how it contributes to improved animal feed supply chains (SCs) is still underexplored. This study provides a greater understanding of the role of BDA in improving animal feed SC capabilities. Design/methodology/approach A qualitative approach was used in this study. Data were collected through 32 semistructured interviews from several actors involved in the production and supply of animal feed concentrates. Findings This study provides rich in-description evidence of how BDA enhances performance in the animal feed supply chain through improved logistics capabilities, quality control and information visibility. Our findings also suggest that organizational culture contributes to leveraging BDA capabilities in the feed-processing SCs. Practical implications The research provides an in-depth qualitative investigation of implementing big data in the feed processing SCs. The study provides practical implications for SC managers in the agri-food sector. Originality/value The study contributes to the growing body of knowledge by providing field evidence of the relevance of BDA to animal feed SCs. Moreover, this study adds to the existing literature by providing an understanding of the role of the internal culture of the organization in leveraging BDA capabilities in the SC.
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    The interplay of agile capabilities in crisis response
    (Emerald, 2025) Bastl, Marko; Cerruti, Corrado; Mena, Carlos; Skipworth, Heather Dawn
    Purpose Large-scale disruptions that lead to extreme environmental uncertainty, combined with perceived threats and time pressure, have prompted some organizations to rapidly form new networks. This research aims to focus on how actors in these newly formed networks leverage their agile capabilities in response to extreme disruptions. Design/methodology/approach Grounded in the agility literature, this study employs an abductive research approach and a multi-case design. Data were collected from 18 actors embedded in four newly formed networks located in the United Kingdom, Italy, Colombia and the USA. Findings Through six propositions and an empirically derived model of supply chain agility under extreme uncertainty, the findings reveal a dynamic interplay among agile capabilities. They also illustrate how the utilization of these capabilities shifts in environments characterized by severe unpredictability. Practical implications The research underscores the importance of allocating equal attention to both cognitive and physical dimensions of agility. Under conditions of extreme uncertainty, firms may need to adopt more entrepreneurial behaviors to enhance agility; however, this can increase risk exposure, which must be managed proactively. Originality/value This study contributes to the body of knowledge on supply chain agility by identifying the interrelationships between agility dimensions and demonstrating how extreme uncertainty influences their practical application.
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    Understanding supply chain knowledge mobilization barriers from the middle‐range perspective: an empirical investigation of Argentina's agri‐food industry
    (Wiley, 2025-04-01) Zhao, Guoqing; Xie, Ying; Dennehy, Denis; Fosso Wamba, Samuel
    Despite considerable research attention to supply chain knowledge mobilization (KMob) barriers, understanding of why, how, and when they emerge in practice remains limited. We address this knowledge deficit by using middle‐range theory (MRT) as a theoretical lens to examine supply chain KMob barriers in their naturally occurring environment. Drawing on 42 in‐depth, semi‐structured interviews with Argentinian agri‐food supply chain (AFSC) practitioners, we present novel insights into the emergence of AFSC KMob barriers. First, our findings indicate the prevalence of 11 individual, intra‐organizational, and inter‐organizational KMob barriers in Argentinian AFSCs. Second, Argentina's political, economic, social, technological, legal, and cultural (PESTLC) environment contribute to these barriers. For example, the cultural environment, characterized by strong hierarchy and weak intellectual autonomy, may have negative effects on AFSC practitioners' KMob behaviors and perceptions, resulting in resistance to knowledge sharing, while long‐term political and economic instability poses challenges for intra‐ and inter‐organizational KMob. Third, these 11 KMob barriers elicit both semantic and pragmatic knowledge boundaries that thwart AFSC KMob. Our study extends the applicability of MRT to supply chain KMob research and provides a framework for better understanding KMob barriers. The study has important implications for agricultural research institutions and focal companies of local AFSCs.