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Item Open Access Translating management research into practice: a six-step path to engage stakeholders(Taylor and Francis, 2025) York, John M.; Turner, Neil; Wilson, Grant Alexander; Hussels, StephanieScholars have observed that management research can miss opportunities to translate its findings into practice. Some emphasize the importance of academic-practice collaboration in designing, implementing, and disseminating management research to ensure academic rigor and practitioner relevance. These views align well with evidence-based management perspectives. This paper's objective aims to describe what a research-to-practice translation path might resemble. This effort describes a six-step model to bridge research and practice: 1) identification, 2) engagement, 3) dissemination, 4) exploitation, 5) evaluation, and 6) refresh. It draws on diverse sources of information obtained via purposeful sampling (literature, websites, thought leader interviews, and personal experience and networks) to provide illustrative examples to reflect how researchers or practitioners who translate their Ph.D. work into practice engage with these steps. This work's contributions involve a roadmap for translation and extension of prior works in the extant literature calling for academic-practice collaboration in designing, implementing, and disseminating management research and multiple research-to-practice experience examples to illustrate how scholars and practitioners embrace such efforts for each phase. It also extends the ongoing academic conversation on this topic. This work proposes avenues for future research to address the limitations of this descriptive narrative. It seeks to refine the proposed model that can aid management researchers in their efforts to translate their works for managers and other practitioners.Item Open Access Categorizing errors in high‐reliability organizations: adaptive range and adaptive capacity in incident response(Wiley, 2025) Kutsch, Elmar; Siala, Haytham; Cantarelli, Chantal; Djabbarov, IbratThis study examines how actors in a high‐reliability organization categorize errors as near‐misses or accidents through the lens of adaptive capacity and adaptive range. We studied a large defense entity with operations critical to national security to understand how organization members categorized errors during incidents. Using the repertory grid method to interview informants, we identify key dualities that actors navigate between anticipatory and retrospective responses to errors. These dualities collectively reflect the organization's adaptive capacity and adaptive range when balancing anticipatory and retrospective responses. Our analysis of error categorization through this lens provides new insights into how high‐reliability organizations manage incidents to maintain reliability and offers practical implications for enhancing organizational resilience in high‐risk settings.Item Open Access Empowering knowledge dynamics: a process ontology perspective on collaborative leadership in international assignments(Emerald, 2025) Haist, Joshua; Renshaw, Philip St John; Robinson, JenniferPurpose This paper conceptualizes a framework for the role of collaborative leadership in the generation and distribution of knowledge by globally mobile personnel. This framework addresses limitations in existing models that often ignore the iterative and relational processes in knowledge dynamics by emphasizing collaborative leadership’s crucial role in continuously shaping these dynamic processes. Design/methodology/approach Adopting a theoretical approach, this study applies a process ontology to demonstrate how these knowledge dynamics interact at different levels of analysis through a continuous process of becoming. It critically reviews existing literature on knowledge transfer in international assignments (IAs), highlighting the limitations of traditional paradigms. The paper also draws on the concept of leadership-as-practice to emphasize the importance of collaborative leadership to explore these complex interactions and their implications for knowledge movement. Findings By applying this lens, we identify novel phenomena, including the occurrence of knowledge dynamics not only during IAs but also in anticipation of them. We uncover asymmetries of knowledge that emerge at various stages of IAs and reveal that knowledge movement in IAs is multidirectional and processual, challenging the traditional view of linear knowledge dynamics. Originality/value This paper introduces a novel framework combining process ontology and collaborative leadership to examine knowledge dynamics in IAs. It offers a novel perspective by moving beyond the traditional, linear understanding of knowledge transfer, emphasizing the multidirectional and dynamic nature of knowledge creation and movement. By introducing process ontology and collaborative leadership, the study challenges existing paradigms and develops theoretical propositions opening new avenues for research and theory-building in the knowledge management and global mobility literature.Item Open Access Digital transformation and profit growth: a configurational analysis of regional dynamics(Institute of Electrical and Electronics Engineers (IEEE), 2025) Sawang, Sukanlaya; Zhao, Jian; Xu, ZimuThis study adopts Configuration Theory to explore how diverse combinations of regional factors contribute to profitability, emphasizing the principle of equifinality, which posits that multiple, equally effective configurations can lead to similar outcomes. This study examines the interplay of multiple factors—enterprise informatization, digital infrastructure, e-commerce, technological investment, innovation, hardware, and software—across four key themes: Digital Readiness and Technological Integration, Market and Economic Enablers, Innovation Capacity and Activity, and Foundational Artifacts and Resources. Using data from 31 provinces in China from 2015 to 2022, this study employs fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover pathways to regional profit growth. The study identifies five distinct configurations contributing to profit growth across China's provinces. In most configurations, e-commerce and technological investment emerge as central drivers. However, in less developed regions, profit growth relies more on improvements in digital infrastructure and hardware, with innovation and enterprise informatization playing a less significant role. The findings also reveal that profit growth requires addressing the weakest elements in the ecosystem—whether digital infrastructure, technological capabilities, or other factors. Strategies tailored to regional conditions must prioritize improving these weaker components to achieve sustained growth, as ignoring them can limit overall success.Item Open Access Leveraging machine learning and optimization models for enhanced seaport efficiency(Springer, 2025-12-31) Jahangard, Mahdi; Xie, Ying; Feng, YuanjunThis study provides an overview of the application of predictive and prescriptive analytics in seaport operations and explore the potential of integrating predictive outputs into prescriptive analytics to advance research in this field. A systematic review of 124 papers was performed to identify and classify key topics based on application areas, types of applications, and employed techniques. Our findings show a growing interest in developing either predictive or prescriptive analytics models to improve seaport operational efficiency. However, there is limited research combining predictive outputs with prescriptive analytics for data-driven decision-making. Additionally, the hybridization of machine learning and operations research techniques remains underexplored. One promising area is applying machine learning models, such as reinforcement learning, to solve optimization problems. Predictive maintenance and data-enabled operational control measures for port equipment and facilities are also highlighted as interesting future research areas.Item Open Access Corruption and default risk: global evidence(Wiley, 2025-12-31) Nadarajah, Sivathaasan; Atif, Muhammad; Tawiah, Vincent; Liu, Jia; Wood, GeoffreyThe extant literature explores the consequences of corruption on firms’ growth and survival. However, its impact on default risk remains unexplored. On the basis of a sample of 189,109 firm‐years from 2004 to 2021 across 47 countries, our study reveals that a one standard deviation increase in corruption is associated with an 11.3% increase in default risk. Our channel analysis identifies information asymmetry and managerial risk‐taking as key mechanisms through which corruption influences default risk. This adverse effect is particularly pronounced in countries with opaque information environments, weak governance frameworks and inadequate external monitoring of firms. We further highlight the detrimental impact of corruption on firms’ borrowing costs and banks’ loan performance. Our study emphasizes the importance of enhancing information transparency and implementing stringent control mechanisms as a basis of mitigating corruption's detrimental effects across a range of different socio‐political contexts.Item Open Access Comparative life-cycle assessment of novel steel section design with wire arc additive manufacturing(Springer, 2025-02-22) Arrè, Lidiana; Pagone, Emanuele; Laghi, Vittoria; Martina, Filomeno; Palermo, Michele; Lazou, Adamantia; Meskers, Christina; Olivetti, Elsa; Diaz, Fabian; Gökelma, MertolAdditive manufacturing, particularly Wire Arc Additive Manufacturing (WAAM), is emerging as a promising technology in the construction sector due to its potential to reduce environmental impacts. Life-Cycle Assessment (LCA) is a crucial methodology for evaluating the environmental footprint of products and processes that can be carried out from raw material extraction to the end of production, commonly referred to as “cradle-to-gate” analysis. This study focuses on the environmental impact of 3D-printed steel elements using WAAM technology for construction applications. Specifically, the conventional production of Circular Hollow Section (CHS) steel components was compared with the innovative production of Tubular Sandwich Section (TSS) steel components using WAAM. The analysis provides a comparison of the carbon footprint associated to both production methods, highlighting in detail the emission factors associated with each step of the WAAM production. The results highlighted that WAAM not only offers design and structural benefits to build complex-shaped geometries but also contributes to more sustainable construction practices with a lower “cradle-to-gate” carbon footprint due to the reduced material consumption associated with material efficiency.Item Open Access Circular economy in post consumption network: the role of re-commerce groups in social media platforms(Elsevier, 2025-03) Xie, Ying; Arman, Saleh Md; Su, ChangThe success of the circular economy transition depends on the involvement of all stakeholders. However, research on consumer participation in the circular economy is limited. This study identifies the micro-level dynamics of the circular economy within the post-consumption network, mainly focusing on re-commerce operations. Through exploring re-commerce networks in 20 countries and a statistical analysis of factors influencing sales performances on Facebook, this research aims to identify the primary elements influencing re-commerce activities on Facebook and their role in promoting circular economy. This study uses grounded theory and a mixed-methods approach, combining literature reviews and interviews, to explore the impact of re-commerce on the circular economy. Based on the research findings, this research develops four propositions to promote future research on post-consumption networks in the circular economy context.Item Open Access Risk assessment for digital transformation projects in construction Enterprises: an enhanced FMEA model(Elsevier, 2025-05-15) Li, Tangzhenhao; You, Jianxin; Aktas, Emel; Dong, Yongxin; Yang, MiyingThe digital transformation of the construction industry is crucial for advancing global digital economies, but it involves significant risks that require a standardized and robust assessment methodology. This paper presents an enhanced Failure Mode and Effect Analysis (FMEA) model that integrates the Multiple Attribute Border Approximation Area Comparison (MABAC) method with Grey Relational Analysis (GRA). Unlike previous approaches, this integration aligns grey relational changes with border approximation vector components, capturing both positive and negative correlations between modes. This enhances the prioritization process by distinguishing failure modes that may amplify or mitigate each other’s impact, leading to more precise risk assessments and mitigation strategies. The model also employs interval numbers instead of crisp numbers to reduce information loss from decision-making ambiguities caused by heterogeneous expert evaluations. Applied in a real-life case study, the improved model effectively accommodates biases and hesitations in expert decision-making, enhancing the accuracy and reliability of risk assessments in digital transformation projects. The findings highlight the model’s potential as a comprehensive and reliable framework for identifying, prioritizing, and mitigating risks in the digital transformation of the construction industry.Item Open Access Transitioning to artificial intelligence-based key account management: a critical assessment(Elsevier, 2025-04) Prior, Daniel D.; Marcos-Cuevas, JavierResearch suggests that Artificial intelligence (AI) use for sales and marketing activities improves firm performance. Underpinning these AI applications are datasets that reflect large volumes of sales transactions and interactions with a broad range of customers. Conversely, key account relationships involve deep and focused engagements with a small number of strategically important customers at multiple levels, and this has important implications for AI data inputs and uses. Whether AI is appropriate or relevant to key account management (KAM) is currently unclear. In this paper, we critically evaluate AI applications for KAM. The paper highlights the amenability of a firm’s KAM capabilities to AI and evaluates the opportunities and challenges that AI-based KAM offers. The paper also outlines a set of moderating factors likely to affect the impact of AI on KAM and provides a conceptual model to better understand the potentially transformative effects of AI on KAM. The paper concludes with a set of theoretical and managerial implications of AI-based KAM and develops a comprehensive research agenda to contribute to the further exploration of AI-based KAM.Item Open Access Public debt and income inequality in times of austerity: dynamic panel evidence(Taylor and Francis, 2025-12-31) Okeke, Angela; Alexiou, ConstantinosThis paper examines the relationship between public debt levels and income inequality during periods of fiscal consolidation (austerity). Specifically, it investigates two key questions: (a) whether high public debt during fiscal adjustments exacerbates income inequality, and (b) whether the composition of these adjustments influences the debt–inequality link. To address these issues, we apply a panel threshold methodology using annual data from 16 OECD countries over the period 1980–2019. Our findings reveal that public debt significantly affects income inequality, with the impact intensifying during fiscal adjustments, particularly at moderate debt thresholds (30–60%). Furthermore, when comparing the effects of tax-based versus spending-based adjustments, the evidence shows that tax-based consolidations tend to produce more persistent negative effects on income inequality.Item Open Access Evaluating mobile-based data collection for crowdsourcing behavioral research(Springer, 2025-04) Esch, Dennis T.; Mylonopoulos, Nikolaos; Theoharakis, VasilisOnline crowdsourcing platforms such as MTurk and Prolific have revolutionized how researchers recruit human participants. However, since these platforms primarily recruit computer-based respondents, they risk not reaching respondents who may have exclusive access or spend more time on mobile devices that are more widely available. Additionally, there have been concerns that respondents who heavily utilize such platforms with the incentive to earn an income provide lower-quality responses. Therefore, we conducted two studies by collecting data from the popular MTurk and Prolific platforms, Pollfish, a self-proclaimed mobile-first crowdsourcing platform, and the Qualtrics audience panel. By distributing the same study across these platforms, we examine data quality and factors that may affect it. In contrast to MTurk and Prolific, most Pollfish and Qualtrics respondents were mobile-based. Using an attentiveness composite score we constructed, we find mobile-based responses comparable with computer-based responses, demonstrating that mobile devices are suitable for crowdsourcing behavioral research. However, platforms differ significantly in attentiveness, which is also affected by factors such as the respondents’ incentive for completing the survey, their activity before engaging, environmental distractions, and having recently completed a similar study. Further, we find that a stronger system 1 thinking is associated with lower levels of attentiveness and acts as a mediator between some of the factors explored, including the device used and attentiveness. In addition, we raise a concern that most MTurk users can pass frequently used attention checks but fail less utilized measures, such as the infrequency scale.Item Embargo Breaking barriers with disability inclusion: brand activism as a catalyst for social sustainability in fashion(Springer Nature, 2024-12-29) Lee, Zoe; Alwi, Sharifah Faridah Syed; Gambetti, Rossella; Henninger, Claudia E; Alevizou, Panayiota; Ryding, Daniella; Goworek, HelenBrand activism is an emerging strategy aimed at fostering social sustainability in fashion. Despite efforts in inclusivity concerning diverse races, colours, and body shapes in model representation, fashion’s approach to authentic disability inclusion remains lacking. Often, portrayals of disabled models evoke sympathy, deviating from fashion’s aspirational ideals. This chapter seeks to delve into successful fashion marketing strategies that genuinely incorporate disabilities. By examining the convergence of brand activism and authentic disability inclusion, it aspires to dismantle barriers and cultivate an inclusive culture, thereby elevating social sustainability.Item Open Access Digital transformation as a catalyst for resilience in stock price crisis: evidence from a ‘New Quality Productivity’ perspective(Springer, 2025-12-31) Chen, Shunru; Alexiou, ConstantinosThis study explores the impact of digital transformation on stock price crash risk using Chinese A-share listed enterprises from 2011 to 2022. Leveraging the TF-IDF algorithm and deep learning models, it contextualizes digital transformation within China's “new quality productivity” framework, which prioritizes technological innovation over traditional productivity drivers. The findings reveal that digital transformation significantly reduces stock price crash risk, particularly in labor and capital-intensive sectors, by enhancing market transparency and decreasing information asymmetry. Furthermore, the integration of digital transformation with the “new quality productivity” framework amplifies this protective effect, with pronounced benefits for large firms and those covered by analysts or research reports. Conversely, smaller firms or those without such coverage experience a smaller impact. By demonstrating how advanced digital technologies bolster operational agility and investor confidence, this study highlights the critical role of digital transformation in fostering resilience and stabilizing stock prices during crises.Item Open Access Impact-driven scholar, reflective practitioner, or pracademic? Conceptualizing hybrid roles to bridge the research-practice gap in HRM(Elsevier, 2025-06-01) Lau, Annica; Haist, Joshua; Hewett, RebeccaBridging the gap between theoretical concepts relating to human resource management (HRM) and practical application of research insights is essential for creating important, relevant, and therefore high impact management theories about work and organizations. Pracademics, who actively participate in both research and practice activities, cross boundaries between domains, so play a critical role in bringing theories into practice. However, the role of pracademics is conceptually underdeveloped and ambiguous, limiting our understanding of how actors engage in bridging the research-practice divide. We propose a continuum of research-practice roles, recognizing that hybrid roles are often fluid in nature. We explain how hybrid professionals hold different identities; as impact-driven scholars, reflective practitioners, or pracademics. These roles have implications for individuals' activities, identity work, career, and collaboration. Drawing on three contemporary challenges in HRM, we illustrate how hybrid professionals can align HRM theory and practice and help close the research-practice gap. As well as theoretical and managerial implications, we also highlight implications of the continuum of roles for policy makers and funders.Item Open Access Dark and bright repercussions of COVID-19 pandemic on international business: a systematic literature review and future research agenda(Emerald, 2025-12-31) Khan, Huda; Khan, Zaheer; Wood, GeoffreyPurpose As a global pandemic of historically significant scale, COVID-19 and its impact on global business activities have gained significant scholarly attention in the international business (IB) domain. This study aims to review and consolidate the IB research findings on the COVID-19 crisis, considering both the literature on the dark and bright repercussions for firms. Design/methodology/approach The authors systematically reviewed and synthesized a sample of 87 scholarly articles published in major IB journals from 2019 to 2022. Findings This review paper highlights the important domains – including global value chains, digitalization and varieties of functional areas – that have been substantially affected due to the widespread disruptions caused by the pandemic. This study also discusses future avenues for extending the work on the dark and bright sides of crisis management. Originality/value Applying the overarching concept of the bright and dark sides of the COVID-19 pandemic, the authors developed a framework that highlights the important knowledge gaps and points to future research directions. This review also suggests the salient methodological and contextual avenues potentially suited for future IB research on the pandemic and similar crises.Item Open Access Rapid decarbonization requires industrial efficiency(Springer, 2025-01-31) Yang, Miying; Evans, SteveThe potential of effciency to support decarbonization is underestimated and overlooked relative to more expensive and intensive actions. Implementing resource and energy effciency strategies in industry could deliver rapid and cost-effective decarbonization.Item Open Access Female FTSE Board Report 2016: Women on boards - taking stock of where we are(2016-12-31) Sealy, Ruth; Doldor, Elena; Vinnicombe, SusanItem Open Access The Female FTSE Board Report 2018: Busy going nowhere with the female executive pipeline(2018-03-31) Vinnicombe, Susan; Doldor, Elena; Sealy, RuthThis year we see two different pictures emerging in terms of women’s representation on FTSE 100 and FTSE 250 corporate boards. Since October 2017 the percentage of women on FTSE 100 boards has increased from 27.7% to 29%, meaning that if the current pace continues it is possible to reach the targeted 33% by the end of 2020. In total 264 women hold 305 directorships on FTSE 100 boards. The percentage of female Non-Executive Director (NED) positions is at the all-time high of 35.4%, whilst the percentage of female executive positions has flatlined at 9.7%. On a positive note, seven women hold a Chair position and 18 hold Senior Independent Directorships. A further 85 women hold 95 Chair roles on the various committees across FTSE 100 boards. In contrast, the percentage of women on FTSE 250 boards has only increased marginally from 22.8% in October 2017 to 23.7%, the percentage of female executive directorships has dropped from 7.7% to 6.4% and the number of all male boards has increased to ten. These present challenging conditions for meeting the 33% target in 2020.Item Open Access The Female FTSE Board Report 2022: What works?(2022-12-31) Vinnicombe, Susan; Tessaro, MichelleThere has been a continued increase in the number of women on corporate boards. The percentage of women on FTSE 100 boards is 40% and the parallel percentage for FTSE 250 boards is 39%, meaning that FTSE 100 boards have already met the target set by the Women Leaders Review for 2025 and FTSE 250 are on the cusp of meeting it. Overall, women hold 413 directorships across FTSE 100 boards - the increase in women coming primarily as usual from female Non -Executive Directorships (NEDs). The number of women in Executive Directorships (EDs) has increased marginally from 31 to 36. A similar pro昀椀le emerges for FTSE 250 companies where women hold 752 directorships, of which 705 are NED and only 47 are EDs. There has been no change in the number of women EDs for the past three years. As in previous years there continues to be a wide variance between the top and bottom companies, indicating the downside of voluntary targets over mandatory quotas.