This research proposes a carbon-aware AI computing framework that integrates workload telemetry, real-time environmental conditions and grid carbon intensity to optimise power consumption and reduce the carbon footprint of AI workloads in high-performance data centers. Drawing on information theory and sustainable computing, it uses a quantitative design combining the MIT Supercloud job dataset, Weather Underground historical weather data and WattTime grid emissions data across three phases: statistical analysis, predictive machine learning modelling, and simulation of carbon-aware scheduling policies. The study aims to help data center operators anticipate energy use, manage costs and shift workloads to periods of cleaner energy.

As organizations shift from traditional office settings to virtual work environments, attitudes toward virtual teams have become increasingly varied. This transition has sparked significant academic debate over how to best assess virtual team effectiveness. While existing research highlights strategies for optimizing global virtual teams, the attitudes of the managers who lead them remain a critical missing piece. This study examines those attitudes, laying the groundwork for future research on how managerial perspectives influence the performance of global virtual teams within the pharmaceutical industry. We apply cognitive-based attitude theories to explore the feelings, emotions and perceptions of managers working on global virtual teams. Our findings reveal that positive attitudes influence perceived virtual team effectiveness. To thrive, virtual teams require clarity of goals, trust, communication, and accountability. By addressing these areas, organizations can build stronger, more resilient teams that support long term success. This research also provides actionable guidance for improving team structures, organizational practices, and value creation.

This study examines how CEO leadership style shapes decisions to hire, or not hire, highly qualified professionals over 50 into management committees in Spain. Drawing on leadership styles theory, upper echelons theory, research on ageism and cognitive bias, and social capital perspectives, it adopts a qualitative, interpretive design with in-depth interviews of 15–20 Spanish CEOs, deliberately including those who have and have not incorporated senior talent, complemented by documentary review. It aims to integrate ageism scholarship into executive leadership research and identify conditions that make inclusive hiring decisions more likely.

The growth of e-commerce has reshaped fast-moving consumer goods (FMCG) retailing, yet consumer adoption in culturally embedded markets does not always follow a simple movement from physical stores to online platforms. This study explores how FMCG consumers in Kuwait decide when to shop online and when to remain with traditional retail channels. Drawing on nine semi-structured interviews with adopters, occasional users, and a non-adopter, the study re-examines e-commerce behavior through the lens of conditional adoption, trust, perceived control, and channel switching. The findings suggest that FMCG e-commerce adoption in Kuwait is not a linear transition, but a situational and category-specific behavior. Consumers turn to online platforms when convenience, urgency, delivery speed, heavy items, or time constraints make digital purchasing more useful. At the same time, they continue to rely on physical stores for fresh products, wider assortment, stronger promotional visibility, shopping enjoyment, and the ability to inspect items personally. Trust in product quality, confidence in delivery accuracy, price perception, and household routines strongly influence these decisions. The study contributes to engaged management scholarship by showing that e-commerce adoption in FMCG should not be understood only through technology acceptance or generational readiness. In the Kuwaiti context, online shopping operates as part of a hybrid retail routine shaped by cultural habits, category risk, Cooperative-Societies loyalty, family structures, and the consumer’s desire for control. For retailers and brand managers, the findings highlight the need to design digital FMCG platforms that go beyond convenience by strengthening trust, assortment depth, pricing fairness, loyalty mechanisms, and sensory assurance for categories where physical inspection remains important.

This study examines whether the explicit communication of corporate purpose, and the content of purpose statements, are associated with financial and sustainability outcomes in global and European large firms. Drawing on a sample of 377 publicly traded Fortune Global 500 companies, including 149 firms that explicitly publish a purpose statement on their corporate websites, the analysis combines NVIVO-based content coding with FactSet financial indicators and Truvalue Labs ESG scores. Purpose statements were coded for the presence of key components, including sustainability and corporate responsibility, values, customer orientation, distinctive competence, future orientation, and ESG-related dimensions. Welch’s t-tests were used to compare annualized stock returns, stock volatility, and ESG pillar scores across firms with and without explicit purpose statements and across firms whose statements contained specific components. The findings show that firms explicitly communicating purpose exhibit significantly lower stock volatility. In addition, statements emphasizing competence, customer orientation, and sustainability-related content are associated with lower volatility, suggesting that purpose communication may operate as a strategic signal that reduces uncertainty and enhances stakeholder confidence. Environmental content in purpose statements is positively associated with stronger environmental and governance ESG scores. In the European subsample, sustainability- and values-oriented purpose statements are also associated with higher stock returns. These results contribute to the emerging corporate purpose literature by linking external purpose communication to measurable market and sustainability outcomes, while also revisiting the mission statement tradition in a contemporary ESG context. Overall, the study suggests that purpose is more than symbolic rhetoric when explicitly communicated and substantively aligned with sustainability and stakeholder commitments.

Collections and recoveries (C&R) activities are essential for effective credit risk management, particularly in light of post-2007-2008 financial crisis regulations. Despite their importance, this area is often underexplored. Accurate unpaid debt segmentation is crucial for optimizing collection strategies and assessing collection potential. Our objective is to identify the key determinants influencing recovery rates for unsecured debt portfolios that banks and financial institutions have written off, and to assess how these determinants were affected by the COVID-19 crisis. Specifically, we aim to identify which variables significantly predict short-term repayment behaviour before, during, and after the pandemic. To this end, we developed statistical models utilizing the CHAID classification tree methodology to identify the most discriminating variables. Our findings indicate that the COVID-19 crisis had a notable impact, causing significant alterations in these variables. The insights from this research are expected to be valuable to key stakeholders in the C&R sector, including creditors, servicers, and regulators/supervisors. In this research, we utilized a database from a prominent Investment Firm, containing information on 900.000 accounts of unsecured debt portfolios sourced from the Spanish non-performing loans market, and their payment behaviour from 2018 to 2023, along with macroeconomic data from the “Instituto Nacional de Estadística”.

This Spanish-language study addresses the retention of independent personal-lines insurance agents in Mexico, who placed 51% of sector premiums in 2025 while the number of active agents fell 8.6%. Using a documentary-bibliometric design based on 1,008 Scopus documents analysed with Biblioshiny and VOSviewer, it proposes a conceptual explanatory model in which organizational factors, agency (promotoría) leadership and personal psychological resources shape agents’ professional permanence. The model is presented as a theoretical structure ready for later empirical validation, with implications for selection, onboarding, leadership and retention strategies.

Digital transformation is a strategic priority for firms in the electric utility industry and accounts for billions of investment dollars (USD) across all industries. Leaders of these organizations strive for effective risk management governance systems and adequately prepared workforces to execute their strategic initiatives. Identifying and understanding the key factors that increase the effectiveness of project portfolio risk management in these organizations helps enable their digital transformation goals. The goal of this research is to identify and understand the key determinants of project portfolio risk management effectiveness (PPRME) relevant to power producers in the United States electric utility industry. A survey of over two hundred workers provided the data informing the investigation. Partial Least Squares - Structural Equation Modelling (PLS-SEM) was used to test a model describing the impact of risk management culture, leadership support, stakeholder engagement, and management processes on project portfolio risk management effectiveness. The results inform the key roles of organizational risk management culture and the quality of senior management support for improving the effectiveness of an organization’s project portfolio management. Effectiveness in project portfolio risk management is driven by informed, and empowered project teams and engaged, risk-aware leadership.

This project asks whether requiring competing alternative proposals reduces illusory consensus, where a group believes it has agreed while members privately disagree, in open-source software communities. Drawing on dual-process theory and a modified framework from Healey et al. (2015), it hypothesizes that multiple alternatives align voting with discussion valence, while alternatives introduced late increase illusory consensus. Two studies are planned: an online experiment with an Implicit Association Test to validate voting as a proxy for reflexive cognition, and an observational study of GitHub governance discussions in the Python and Rust projects.

This ongoing DBA study examines how organisational experience, shaped by leadership behaviours and organisational culture, influences the development of engagement and disengagement over time and how these processes affect employee retention in continuously connected work environments, with particular attention to Gen Z employees. Grounded in Transformational Leadership Theory and Organizational Culture Theory, it uses a mixed-methods design combining the Multifactor Leadership Questionnaire and the Organizational Culture Assessment Instrument with semi-structured interviews. Preliminary findings suggest that employees often begin highly engaged but gradually disengage when leadership and culture fail to align with expectations around communication, feedback and development, increasing the likelihood of turnover.