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Global talent shortages, new skill demand and rising numbers of unfilled posts are fuelling an increasingly challenging job market, exacerbated by economic uncertainty and transformational digital change. Seeking creative solutions in response, the authors examine talent management’s (TM) theoretical and conceptual foundations, specifically the identification and selection of talent and TM programme design to explore the challenges and benefits of side-of-desk projects as interventions.

Taking an inductive qualitative approach, questionnaires, focus groups and semi-structured interviews gathered data from three employee groups in a UK digital communications organisation.

The authors reveal inconsistencies in the definition and selection of talent, highlighting programme quality challenges to expose a direct correlation between participant experience and motivation and retention, along with the longer-term challenges of balancing talented human capital, shareholder expectations and sustainable workforce resourcing.

The authors' research extends existing knowledge concerning the effect of organisational culture, context and workforce demands upon TM programmes, providing theoretical and practical implications for leaders and policymakers in designing enrichment activities to motivate, develop and retain talent. The authors make recommendations to inform the future design of TM programmes, revealing new opportunities to develop hidden talent and presenting a realistic and sustainable toolkit for future practice in the form of an organisational logic model.

Zara et al. (2023) provide novel findings into how psychopathy may develop, showing that early life predictors of poor relationships (e.g. being unwanted before birth) are predictive of psychopathy in adulthood. The authors provide a theoretical interpretation of why psychopathy might develop based on these findings by using an adaptive perspective, suggesting that psychopathy may protect or shield individuals from poor relationships. This commentary aims to critically evaluate and extend this latter suggestion in hopes of fostering further research and clarity on the topic.

After presenting an overview of evolutionary perspectives, a summary and elaboration are presented of the interpretation that psychopathy may be an adaptive response that functions to protect individuals from poor relationships. Then, an additional adaptive interpretation is offered.

Psychopathy describes a collection of traits and behavior that facilitates an approach-oriented and exploitative motivational style that might suggest more than a protective function. When negative or poor relationships are experienced (e.g. being unwanted), it is suggested that psychopathy may begin to develop not just for protection (If I am not loved, I will shield myself from those around me) but to actively orient toward exploitation (If I am not loved, I will exploit those around me).

This commentary hopes to arouse further interest into the theoretical interpretations of why psychopathy may develop that are based on findings of how psychopathy develops. These considerations are consequential for understanding what to target in treatments that aim to meet the specific needs and motivations of individuals with psychopathic traits.

The purpose of this paper is to provide a comprehensive framework that identifies thematic clusters and their interconnections within Global Talent Management (GTM), global careers and talent management (TM).

In this paper, this study conducted a co-citation analysis using bibliographic data to unveil the intellectual connections and relationships among thematic articles related to GTM sourced from the Web of Science.

This review highlights three key research themes: experiences working abroad, TM approaches and the complex nature of GTM as a living system.

The main limitation of this research is the sample itself. Content analysis based on the co-citation method resulted in some more recent releases being omitted.

The practical implications of the paper include providing a structured framework for understanding the complexities of GTM.

Research into the academic literature in this area is divided into various clusters, empirically demonstrating how GTM and global mobility are intertwined, revealing the need for us to more thoroughly comprehend the social ramifications of GTM practices and activities and the need to further analyse the influencing social aspects in a GTM strategy, like diversity, increased mobility and virtual reality.

The analysis revealed the emergence of three distinct thematic groups: (1) global work experiences, (2) TM approaches and (3) GTM.

The COVID-19 pandemic has affected around 216 countries and territories worldwide and more than 2000 cities in India, alone. The smart cities mission (SCM) in India started in 2015 and 100 smart cities were selected to be initiated with a total project cost of INR 2031.72 billion. Smart city strategies play an important role in implementing the measures adopted by the government such as the issuance of social distancing regulations and other COVID-19 mitigation strategies. However, there is no research reported on the role of smart cities strategies in managing the COVID-19 outbreak in developing countries.

This paper aims to address the research gap in smart cities, technology and healthcare management through a review of the literature and primary data collected using semi-structured interviews.

Each city is unique and has different challenges, the study revealed six key findings on how smart cities in India managed the COVID-19 outbreak. They used: Integrated Command and Control Centres, Artificial Intelligence and Innovative Application-based Solutions, Smart Waste Management Solutions, Smart Healthcare Management, Smart Data Management and Smart Surveillance.

This paper contributes to informing policymakers of key lessons learnt from the management of COVID-19 in developing countries like India from a smart cities’ perspective. This paper draws on the six Cs for the implications directed to leaders and decision-makers to rethink and act on COVID-19. The six Cs are: Crisis management leadership, Credible communication, Collaboration, Creative governance, Capturing knowledge and Capacity building.

Healthcare tribalism refers to the phenomenon through which different groups in a healthcare setting strictly adhere to their profession-based silo, within which they exhibit stereotypical behaviours. In turn, this can lead to deleterious downstream effects upon productivity and care delivered to patients. This study highlights a clinician-led governance model, implemented at a National Health Service (NHS) trust, to investigate whether it successfully overcame tribalism and helped drive innovation.

This was a convergent mixed-methods study including qualitative and quantitative data collected in parallel. Qualitative data included 27 semi-structured interviews with representatives from four professional groups. Quantitative data were collected through a verbally administered survey and scored on a 10-point scale.

The trust arranged its services under five autonomous business units, with a clinician and a manager sharing the leadership role at each unit. According to interviewees replies, this equivalent authority was cascaded down and enabled breaking down professional siloes, which in turn aided in the adoption of an innovative clinical model restructure.

This study contributes to the literature by characterizing a real-world example in which healthcare tribalism was mitigated while reflecting on the advantages yielded as a result.

Previous studies from all over the world identified major differences in the perspectives of different healthcare professional groups. In the United Kingdom, clinicians largely felt cut off from decision-making and dissatisfied with their managerial role. The study findings explain a governance model that allowed harmony and inclusion of different professions. Given the long-standing strains on healthcare systems worldwide, stakeholders can leverage the study findings for guidance in developing and implementing innovative managerial approaches.

This study aims to show how universities may engage in social responsibility approaches and to understand in depth how the university social responsibility (USR) practices contribute in achieving sustainable development.

Exploratory qualitative research was directed based on two Tunisian Universities (two case studies); the first one belongs to the public sector and the second one to the private sector. Data were collected through participant observations, group interviews, documentation as well as semistructured interviews with students and administrative staff. The survey was carried out in 2022, immediately following the COVID-19 health crisis. The interview lasted 45-min on average.

The results confirmed that USR was applicable within the two studied institutions. The two cases under investigation primarily concerned academic and philanthropic responsibilities, with practices pertaining to ethical and legal responsibilities being observed, albeit not to the same extent as the other two responsibilities. Therefore, universities prioritize the welfare of people over anything else when they implement a USR policy.

The USR is an approach that many higher education institutions, both public and private, must appropriate. Nevertheless, this field is still virgin in academic research and this theme remains unexplored within the Tunisian territory. Thus, through the present study, the authors were able to understand in depth the USR practices and confirmed that these two institutes were socially responsible. Consequently, the authors are inviting other Tunisian Universities to adhere to these approaches regarding their benefits among society, environment and economy.

The paper aims to clarify the relationship between problem-solving skills and socialization of first-year university students and propose talent management strategies for university management, course instructors and administrators. Thus, this paper identifies three student clusters among the first-year bachelor students. This paper aims to propose a talent management framework and makes recommendations for course instructors and administrators.

In this paper, a Simulated Work Experience is applied to collect data on problem-solving skills and demographics of first-year business students. Based on the anonymous competency and demographic data of 546 students, 3 clusters were identified with a hierarchical K-means clustering method and linked with talent management and curriculum design strategies.

The paper provides empirical insights about how the demographic background of the first-year students affects the students' problem-solving skills. This paper identifies three clusters – laggers, unpolished diamonds and drivers – and proposes a talent management framework to support the students' personal and professional development. The proposed talent management framework is based on the direction of upskilling and type of talent management incentives and outlines four distinct categories: extracurricular reward, tutoring and catching up, perform-or-punish and up-or-out systems. This paper makes suggestions to course administrators and instructors how to incorporate talent management and competency mapping aspects into the curriculum and syllabus design activities.

The research is limited to problem-solving skills and focused only on first-year business students.

The paper includes practical implications for business school management, course administrators and instructors about competency mapping, talent management strategies, curriculum and syllabus design.

The research is based on the competency mapping of 546 first-year students at Budapest Business School. The data were collected via a Simulated Work Experience, where the students were participating in a virtual business project.

Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.

The purpose of the paper is to afford a comprehensive conceptualization and operationalization of the construct of talent management through an inclusive exploration of conceptual clarifications for existing confusions while developing a complete measuring instrument.

The archival method was adopted together with a systematic review based on Khan et al.’s (2003) five steps of systematic literature review. The systematic review has encircled published research articles between 1982 and 2023 in the human resource management (HRM) arena. A total of 130 articles were initially scrutinized, and 106 were systematically reviewed to conceptualize, operationalize and explore clarifications for confusions and instrument development for talent management.

This study explored conceptual clarifications for existing confusions towards talent management while recognizing definitions that come under the main philosophical schools for the underlying concept of talent. A novel practical definition has been established for talent management while recognizing dimensions, and then certain elements. A comprehensive instrument has been developed to measure talent management.

This study is limited to instrument development in measuring talent management; nevertheless, there is an enormous scope for using the instrument to empirically measure talent management through organizational and employees perspectives linked to diverse global contexts in future studies.

The developed comprehensive instrument is a vibrant contribution to future investigations related to empirically measuring talent management associated with organizational and employee perspectives related to diverse global contexts in winning “war for talent.” This study endows a significant input to the whole frame of HRM knowledge as it resolves existing conceptual ambiguities towards talent management while defining and operationalizing it.

This paper aims to propose a research model with eight constructs, i.e. BDA leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation, financial performance, market performance and customer satisfaction.

The research model focuses on whether (1) Big Data Analytics (BDA) leadership influences BDA talent quality, (2) BDA talent quality influences BDA security quality, (3) BDA talent quality influences BDA privacy quality, (4) BDA talent quality influences Innovation and (5) innovation influences a firm's performance (financial, market and customer satisfaction). An instrument was designed and administered electronically to a diverse set of employees (N = 188) in various organizations in the USA. Collected data were analyzed through a partial least square structural equation modeling.

Results showed that leadership significantly and positively affects BDA talent quality, which, in turn, significantly and positively impacts security quality, privacy quality and innovation. Moreover, innovation significantly and positively impacts firm performance. The theoretical and practical implications of the findings are discussed. Recommendations for future research are provided.

The study provides empirical evidence that leadership significantly and positively impacts BDA talent quality. BDA talent quality, in turn, positively impacts security quality, privacy quality and innovation. This is important, as these are all critical factors for organizations that collect and use big data. Finally, the study demonstrates that innovation significantly and positively impacts financial performance, market performance and customer satisfaction. The originality of the research results makes them a valuable addition to the literature on big data analytics. They provide new insights into the factors that drive organizational success in this rapidly evolving field.