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Browsing Business and Management by Publisher "Emerald"

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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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    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.
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    The impact of AI service failure on human employee behavior and customer service performance
    (Emerald, 2025-12-31) Tian, Jian; Lin, Hongxia; Tourky, Marwa; Cheng, Bao
    Purpose: This study aims to investigate how and when artificial intelligence (AI) service failure stimulates employees’ differentiated work behaviors. Design/methodology/approach: A multi-wave, multi-source survey involving 284 employee-supervisor pairs was conducted across 15 four-star and five-star hotels in Guangzhou, China. Hierarchical multiple regression analysis was used to test the hypotheses. Findings: Findings suggest that AI service failure induces schadenfreude toward the organization among employees with low perceived insider status, which then leads to procrastination behavior; however, it triggers sympathy toward the organization among employees with high perceived insider status, which further results in proactive customer service performance (PCSP). Practical implications: Their work offers practical insights for tourism and hospitality companies on promoting PCSP and reducing procrastination behaviors among service employees in response to AI service failures. Originality/value: By incorporating perceived insider status as a moderator, and examining the mediating roles of schadenfreude and sympathy toward the organization, this research enhances the theoretical understanding of AI service failure and its consequences from the employee perspective.
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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.