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Item Open Access Age and career resilience through the lens of life course theory: examining individual mechanisms and macro‐level context across 28 countries(Wiley, 2025) Goštautaitė, Bernadeta; Kim, Najung; Steindórsdóttir, Bryndís D.; Parry, Emma; Dello Russo, Silvia; Andresen, Maike; Buranapin, Siriwut; Bosak, Janine; Cerdin, Jean‐Luc; Chudzikowski, Katharina; Cotton, Rick; Dickmann, Michael; Duarte, Henrique; Ferencikova, Sonia; Kaše, Robert; Lysova, Evgenia I.; Madero‐Gómez, Sergio; Mishra, Sushanta Kumar; Panayotopoulou, Leda; Reiss, Elo L. K.; Saxena, Richa; Taniguchi, Mami; Verbruggen, Marijke; Akkermans, Jos; Apospori, Eleni; Bagdadli, Silvia; Briscoe, Jon P.; Çakmak‐Otluoğlu, Övgü; Casado, Tania; Cha, Jong‐Seok; Dries, Nicky; Dysvik, Anders; Eggenhofer‐Rehart, Petra; Gartzia, Leire; Gianecchini, Martina; Gubler, Martin; Hall, Douglas Tim; Jepsen, Denise; Khapova, Svetlana; Krajcik, Daniel; Lapointe, Emilie; Lazarova, Mila; Mayrhofer, Wolfgang; Michel, Eric J.; Milikic, Biljana; Reichel, Astrid; Schramm, Florian; Smale, Adam; Stolz, Ingo; Suzanne, Pamela Agata; Zikic, JelenaCareer resilience is critical to the world's aging workforce, aiding older workers in adapting to the ever‐evolving nature of work. While ageist stereotypes often depict older workers as less resilient when faced with workplace changes, existing research studies offer conflicting evidence on whether older age hinders or improves career resilience. In response to this conflicting evidence, the present study employs multi‐level data from 6772 employees in 28 countries to examine the age‐career resilience relationships and underlying mechanisms, hence advancing our understanding of career resilience across the life course. By integrating macro‐contextual factors such as the unemployment rate and the culture of education with individual‐level mechanisms such as positive career meaning and career optimism, we provide a comprehensive model explaining how career resilience varies across age groups. Grounded in life course theory, our findings resolve prior inconsistencies in resilience research, contribute to bridging the micro‐macro gap in HRM literature, and challenge existing age‐based stereotypes.Item Open Access The interplay of agile capabilities in crisis response(Emerald, 2025) Bastl, Marko; Cerruti, Corrado; Mena, Carlos; Skipworth, Heather DawnPurpose 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.Item Open Access A review of the performance metrics and entrepreneurial practices of economics and business departments in UK universities: a ‘Gresham’s Law’ threat?(Sage Publications, 2025) Alexiou, Constantinos; Saridakis, GeorgeEntrepreneurial approaches and privatisation practices have been widely embraced by academic and professional leadership teams in UK universities, arguably to ensure that the existing chasm between universities and society is bridged. Departments specialising in economics and business have transformed into mechanisms for disseminating knowledge reconfigured to meet the social and economic demands of the contemporary ‘entrepreneurial’ university. This article, through a comprehensive review of the extant literature, argues that the entrepreneurial practices and performance-driven metrics adopted by UK universities have largely suppressed academic pluralism, theoretical development and heterodox thinking. We are of the view that market practices, in conjunction with managerial-type approaches aimed at satisfying specific institutional and individual performance metrics, raise ethical concerns that undermine the established role of academia. The preservation of the university’s traditional role as an institution that promotes intellectual inquiry and pluralism, seeking factual and new knowledge by cultivating virtues and creativity, requires renunciation of the current model, which has transformed universities into ‘businesses’, and academics into ‘entrepreneurs’. Several alternative propositions are offered which, if considered, may help restore the sacrosanct role of the university as an institution of paideia.Item Open Access 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.Item Open Access Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis(Frontiers, 2025-03-27) Kiran, Mahreen; Xie, Ying; Anjum, Nasreen; Ball, Graham; Pierscionek, Barbara; Russell, DuncanBackground: Type 2 Diabetes Mellitus (T2DM) remains a critical global health challenge, necessitating robust predictive models to enable early detection and personalized interventions. This study presents a comprehensive bibliometric and systematic review of 33 years (1991-2024) of research on machine learning (ML) and artificial intelligence (AI) applications in T2DM prediction. It highlights the growing complexity of the field and identifies key trends, methodologies, and research gaps. Methods: A systematic methodology guided the literature selection process, starting with keyword identification using Term Frequency-Inverse Document Frequency (TF-IDF) and expert input. Based on these refined keywords, literature was systematically selected using PRISMA guidelines, resulting in a dataset of 2,351 articles from Web of Science and Scopus databases. Bibliometric analysis was performed on the entire selected dataset using tools such as VOSviewer and Bibliometrix, enabling thematic clustering, co-citation analysis, and network visualization. To assess the most impactful literature, a dual-criteria methodology combining relevance and impact scores was applied. Articles were qualitatively assessed on their alignment with T2DM prediction using a four-point relevance scale and quantitatively evaluated based on citation metrics normalized within subject, journal, and publication year. Articles scoring above a predefined threshold were selected for detailed review. The selected literature spans four time periods: 1991–2000, 2001–2010, 2011–2020, and 2021–2024. Results: The bibliometric findings reveal exponential growth in publications since 2010, with the USA and UK leading contributions, followed by emerging players like Singapore and India. Key thematic clusters include foundational ML techniques, epidemiological forecasting, predictive modelling, and clinical applications. Ensemble methods (e.g., Random Forest, Gradient Boosting) and deep learning models (e.g., Convolutional Neural Networks) dominate recent advancements. Literature analysis reveals that, early studies primarily used demographic and clinical variables, while recent efforts integrate genetic, lifestyle, and environmental predictors. Additionally, literature analysis highlights advances in integrating real-world datasets, emerging trends like federated learning, and explainability tools such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations). Conclusion: Future work should address gaps in generalizability, interdisciplinary T2DM prediction research, and psychosocial integration, while also focusing on clinically actionable solutions and real-world applicability to combat the growing diabetes epidemic effectively.Item Open Access 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, SamuelDespite 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.Item Open Access Autonomous vehicle adoption and supply chain social sustainability: Delphi study and expert interviews(Emerald, 2025-04-04) Gu, Chengzhen; Reefke, Hendrik; Yates, NicolaPurpose 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.Item Open Access Port co-opetition: revisited after 20 years(Taylor and Francis, 2025-05-01) Song, Dong-Wook; Deshmukh, AjayThis paper revisits the concept of port co-opetition with the aim to understand how it has evolved over time since the publication 20 years ago. In so doing, the paper does also attempt to project its future research direction by synthesising the same concept applied to a wide range of academic disciplines. The first aim is of retrospective, while the second of prospective—looking for the future by looking back to the past. The study highlights that co-opetition, defined as doing both collaboration and competition at the same time, has seen noticeable changes over the past two decades by chasing the evolving nature of co-opetition within the port industry from actor-centric and activity-centric perspectives. The focus was initially on individual firms and their interactions; however, there has existed a greater emphasis on the broader activities and their processes as defined co-opetitive relationships. This shift reflects the general trend in the global economy where co-opetition has become increasingly relevant for players to successfully navigate ever more complicated market dynamics. Despite significant progress made in the field of port co-opetition, much of the existing literature remains cantered into the actor-centric view, having limitedly explored the other side of the concept. As a way to fill in this less considered perspective, this paper aims to propose a framework in which the port co-opetition per se could be more systematically analysed, leading us to gain a valuable insight into the field for the benefits of researchers and practitioners. This line of study will make us to better understand the concept in a context of port industry as a potential instrument of implementable strategies.Item Open Access Integrating sustainability across the lifecycle of electric vehicle batteries: circular supply chain challenges, innovations, and global policy impacts(Elsevier, 2025-07) Aishwarya, V. M.; Ekren, Banu Y.; Singh, Tej; Singh, VedantThis study investigates the integration of sustainability practices into the circular supply chain (SC) of electric vehicle (EV) batteries to address environmental and economic challenges. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, a systematic review of 147 articles (2009–2024) identifies key challenges, solutions, innovations, and policy measures shaping the EV battery SC. The research uncovers 10 major challenges, 31 sub-challenges, and 160 detailed challenges, highlighting issues related to SC resilience, environmental impact, and economic sustainability. In response, 40 main solutions and 174 complete solutions are mapped, leading to the identification of 102 detailed technologies, 24 sub-technologies, and 8 core technologies supporting circular economy principles. These technologies are analysed for their long-term industry impact, with comparisons within categories to highlight their advantages, disadvantages, and contributions to circular economy goals. Additionally, global policy analysis reveals regulatory advancements, with China and the UK leading efforts to improve recycling, material recovery, and sustainability governance. This study also compares EV battery policies across countries using indicators like policy coverage, enforcement intensity, and effectiveness, highlighting their impact on sustainability and resource efficiency. A conceptual framework is developed to integrate these challenges, solutions, and innovations into a sustainable EV battery SC. The study concludes with theoretical insights, industry recommendations, and policy implications, offering a structured pathway toward sustainable and resilient EV battery SCs.Item Open Access A sustainable supply chain finance ecosystem: a review and conceptual framework(Elsevier, 2025-08) Liao, Ziling; Prataviera, Lorenzo Bruno; Ghadge, Abhijeet; Abushaikha, IsmailSupply 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.Item Open Access Additive manufacturing in edible product supply chain: a sustainable perspective(Springer, 2025-08-07) Li, Wenqi; Ekren, Banu Y.; Aktas, EmelAs 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.Item Open Access Integrating corporate identity, social responsibility, and reputation: a triadic framework for sustainable branding in hospitality & tourism(Elsevier, 2025-09) Foroudi, Pantea; Melewar, T. C.; Tzempelikos, Nektarios; Ha, Norbani Che; Tourky, MarwaPrevious studies have explored the impact of corporate identity (CI), corporate social responsibility (CSR), and corporate reputation (CR), but they have largely overlooked the effects of inconsistent CSR strategies on unexpected outcomes among hospitality employees. To address this gap, this study examines the interplay among CI, CSR, and CR within the hospitality industry. Adopting a multidisciplinary approach, the research reviews the literature from marketing, design, organizational studies, and management. It then employs qualitative methods, including interviews with managers and focus groups with employees, supplemented by a survey conducted among hospitality and tourism employees in the UK, Malaysia, and Iran. The findings reveal 20 critical CI factors across corporate communication, visual identity, and management behavior, demonstrating that CI influences CSR and CR. This study introduces a triadic framework that integrates CI, CSR, and CR, offering a holistic perspective essential for sustainable branding in hospitality.Item Open Access Comparison of efficiencies in protectionist and liberal cabotage policies(Taylor & Francis, 2025-12-31) Karagöz, Deniz; Acar, Mehmet Fatih; Aktas, Emel; Aba, AnilThis paper focuses on cabotage, which is a long-standing regulation that restricts coastal trade to domestic ships. As globalisation has grown, global trade organisations have pushed for the removal of these barriers to promote a competitive market environment. In this research, Data Envelopment Analysis (DEA) is used to evaluate and compare the efficiencies of countries which have protectionist and liberalised cabotage policies. To do this, maritime statistics in 2022 from the World Bank database are considered for 50 different countries. We find that both protectionist and liberal policies have advantages and disadvantages, but neither is inherently superior. In addition, cabotage policies must be structured according to each country’s conditions, and a delicate balance must be established between these policies, considering the dynamics of the global economy. This paper has also considered advantages and disadvantages by comparing countries that have different policies on cabotage, such as the UK and Türkiye, to show how cabotage regulations generate different perspectives created by their respective maritime pasts and geopolitics. In terms of an effective and competitive maritime industry, the study is one of the unique types of research that underlines the need for a cabotage strategy balanced between the liberalised and protectionist components.Item Open Access 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, BaoPurpose: 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.Item Open Access 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, IsmailPurpose 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.Item Open Access Dynamic distributional effects of fiscal consolidation: a sample of 16 OECD countries(National Library of Serbia, 2025-12-31) Okeke, Angela; Alexiou, Constantinos; Nellis, Joseph G.We explore the long-term distributional consequences of fiscal adjustment episodes and the dynamic consequences of fiscal consolidation for countries with large sized consolidations vis-a-vis countries with small sized consolidations. In this direction, panel ARDL and impulse response functions using local projections are adopted for a panel of 16 OECD countries covering the period 1980 to 2019 based on a newly updated fiscal adjustment dataset, compiled by Gustavo Adler et al. (2024). The evidence suggests that adverse income disparities which tend to arise upon implementation of fiscal adjustments are dynamic and persist through the long run. While baseline results for the Gini suggest that long-term inequality levels hold at approximately the same as peak levels (by the 7th period), inequality measured by the bottom 40 income share appear to exhibit peak levels at the 14th period, suggesting a more persistent impact. Disaggregating impact by adjustment size, evidence is also offered for small-sized adjustment and large-sized adjustment countries showing that small-sized adjustments lead to gradual but prolonged inequality effects, while large-sized adjustments generate steeper but shorter-lived inequality increases.