Staff publications (BAM)

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Browsing Staff publications (BAM) by Author "Abushaikha, Ismail"

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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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    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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    Navigating talent scarcity: talent attraction and selection practices among domestic firms and multinational corporations in Saudi Arabia
    (Emerald, 2025-12-31) Alhaider, Masoud; Ali, Sa’ad; Abushaikha, Ismail
    Purpose The study aimed to identify factors affecting talent attraction and selection in Saudi Arabia’s private sector and to compare the practices of domestic firms (DFs) and multinational corporations (MNCs). Design/methodology/approach Qualitative data were collected through semi-structured interviews and archival evidence from three DFs and 3 MNCs in Saudi Arabia. Data was analyzed using thematic analysis. Findings Integrating institutional logics and dynamic capabilities theory, this study develops a novel framework explaining how firms manage a talent-starved environment. Unlike traditional models that emphasize targeting “ready-to-go” talent, our findings reveal that firms increasingly seek individuals with potential, balancing institutional pressures and business needs. MNCs and DFs alike must exercise strategic dexterity – sensing environmental shifts, seizing emerging opportunities, and reconfiguring selection criteria – by either merging existing logics or adopting new ones. Practical implications Although MNCs have been practicing formalized talent attraction and selection for longer than DFs and have more sophisticated processes, both organizational types have scope for improving their practices in the context of institutional logics at play in Saudi Arabia. Originality/value This study advances the understanding of talent attraction and selection in the Middle East by empirically demonstrating how institutional logics shape human resource practices in Saudi Arabia. It also applies a dynamic capabilities perspective to explain differences between DFs and MNCs, highlighting how firms strategically adapt talent management practices to labor market constraints.