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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 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 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 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 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 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.