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This article aims to examine whether the organizational changes brought about by digital transformation (DT) -such as a new organizational culture, new leadership and new business models-influence talent management, with the latter being seen as one of the major challenges facing companies in their process of digital transformation.

Using a quantitative methodology, a survey was applied to 314 companies in order to analyze the results of their talent management in the DT process. DT is not only digitalization as demonstrated in this study. Talent management is the key piece that can facilitate or block achieving high levels of digital maturity.

The study finds that the changes brought about by DT impact talent attraction, talent retention, and talent management in general, and also shows that digital transformation does not depend on digitalization, but rather that talent management is the key to either helping or preventing high levels of digital maturity being achieved.

The originality of this work lies in examining the influence of the changes that DT entails in talent management.

The purpose of this study is to explore the diffusion of digital innovation for talent management in Italian learning organizations.

It has been implemented a qualitative methodology to collect data, interviewing 16 experts; a mix method analysis was applied to explore thematic categories and to analyze co-occurrences by a quantitative approach analysis using T-Lab software.

There are some relevant points to underline: digital technologies are meant as a support to human resource management (HRM), and there is often the reference to digital gamification or gamified processes implemented for talent management procedures. Learning is a central element both for employees’ point of view and for HR specialists who feel the need for a major and more specific training on digital technologies.

The limited size and composition of the sample put restrictions on the generalizability of results. The explorative nature of the study provides an in-depth consideration of digital innovation in learning organization, representing a first starting point for future quantitative investigations. From a practical point of view, this study emphasizes a learning organization culture as an essential attitude set to attract, select and retain top talents.

From a practical point of view, this study emphasizes a learning organization culture as an essential attitude set to attract, select and retain top talents.

Giving space and voice to HR and information and communication technologies experts has provided insights regarding the digitalization process in HRM in Italy, in particular, digital learning has been told as a necessary element for the competitiveness of the workforce.

This conceptual work examines how, in times of post-COVID-19 paradigm shift, the employee performance management (PM) process can help multinational corporations (MNCs) strengthen their talent management and, at the same time, meet their future needs.

We take a conceptual approach and present our perspective on what we see as the most critical trends shaping PM and talent management. Contingency theory and Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) theory provide a sound theoretical framework for understanding and responding to the complex and rapidly changing business context post-COVID-19.

Drawing on these theories, we create a framework providing a means of understanding why and how MNCs can maintain talent and, at the same time, develop new talent through the PM process.

Importantly, our study emphasizes the critical role that project management and talent management techniques play for both practitioners and scholars. In order to gain and sustain a competitive edge in the ever-changing VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) landscape, these processes necessitate ongoing reassessment and adaptation. As Plato eloquently stated, “Our Need Will Be the Real Creator,” encapsulating our vision for the proactive and dynamic nature of effective project management and talent management practices.

The study establishes the benefits of an agile and flexible PM approach to help develop talent and pave the way for future research in this increasingly critical area

Despite talent management’s (TM) importance for improving organizations' competitiveness and resilience, the pandemic highlighted the weakness of organizational-level TM strategies. Therefore, the objective of this study is to investigate the moderating impact of HR analytics on the relationship between TM and its individual outcomes (talent motivation and quality of hires) and subsequently, their impact on organizational outcomes (talent retention).

The structural equation modeling (SEM) technique was used to analyze 219 online questionnaires administered to HR managers from European companies.

A positive relationship exists between TM activities and talent motivation as well as the quality of hires. Furthermore, HR analytics positively moderates these relationships. Finally, talent motivation and the quality of hires are positively related to talent retention.

This study offers several contributions to theory, as it analyzes TM from an individual perspective and provides further empirical confirmation of the potential benefits of HR analytics and additional grounding to the contingency theory.

Our results will allow practitioners to better orient their HR investments, with positive effects for their organizations and their employees.

This study demonstrates that HR analytics can help organizations adopt a human-centric approach to TM, thus increasing the chances for talents to fully express their potential.

This study takes a step forward toward considering TM outcomes from an individual perspective, responding to new generations' need to pay more attention to their individualities. HR analytics can be a suitable tool to do so, as it can provide insights and suggestions based on the actual organizational context, making TM a more data-driven process.

The purpose of this study is to provide an overview of artificial intelligence (AI) in the talent management sphere. The study seeks to contribute to the body of knowledge with respect to human resource management and AI by conducting a literature review on the integration of AI in talent management, synthesising existing approaches and frameworks, as well as emphasising potential benefits.

The study adopts desk research, computational literature review (CLR) and uses topic modelling [with bidirectional encoder representations from transformers (BERTopic)] to throw light on the diffusion of AI in talent management.

The study’s main finding is that the area of AI in talent management is on the verge of gradual development and is in tandem with the growth of AI. We deduced that there is a link between talent management practices (planning, recruitment, compensation and rewards, performance management, employee empowerment, employee engagement and organisational culture) and AI. Though there are some known fears with regards to using the innovation, the benefits outweigh the demerits.

The current study has some limitations. The scope and size of the sample are the primary limitations of this study. No form of qualitative analytics was used in this study; as a result, the information obtained was limited. The study provides a snapshot of AI in talent management and contributes to the lack of literature in the joint fields. Also, the study provides practitioners and experts an overview of where to target investments and resources if need be.

The originality of this study comes from the combination of CLR methods and the use topic modelling with BERTopic which has not been used by previous reviews. In addition, the salient machine learning algorithms are identified in the study, which other studies have not identified.

This paper analyzes the impact of the perceived ability motivation opportunity (AMO) framework on talent retention via employee engagement, which act as a mediator. Moreover, the study also explores the moderating role of transformational leadership between employee engagement and talent retention.

The survey responses were gathered from 360 frontline employees of five-star hotels in the Indian hospitality industry. Structural equation modeling using SMART PLS-4 was used to test the measurement model, construct reliability and validity, and hypotheses were tested using partial-least square structural equation modeling.

The study results demonstrate that AMO-enhancing HR practices positively affect talent retention. Concerning the indirect effects, results indicate that employee engagement partially mediates the relationship between the perceived AMO framework and talent retention. The moderating effect of transformational leadership on the relationship between employee engagement and talent retention showed a significant interaction effect.

The study results suggest that hospitality organizations must focus on effectively designing and implementing HRM bundles catering to their employees’ abilities, motivation and desired opportunities. Also, industrial practitioners must focus on nurturing the transformational leadership style to ensure higher employee engagement and talent retention.

The paper offers significant implications for the hospitality industry struggling to retain talented professionals. Also, the study provides a comprehensive framework that suggests a positive influence of the AMO framework on talent retention among hospitality employees in the context of developing countries, in which there is minimal empirical research.

Working arrangements’ hybridity has become paramount, particularly after the coronavirus disease 2019 pandemic. A remote working environment has indubitable advantages (e.g. the ability to work from anywhere and at any time). However, such flexibility comes at the cost of being virtually always connected. This duality poses challenges for talent management (TM) in determining who can thrive under these specific conditions and how. This study explores how employees respond to this extended connectivity – namely, work connectivity behaviour after-hours (WCBA) – and its influence on proactive talent behaviour by constructing and testing a theoretical model that differentiates employees’ reactions to this condition.

This study collected data from 400 mainland Chinese employees using online and offline methods. Owing to the potentially varied effects of working in digital environments on employees, a dual mediation regression model was employed to test the hypotheses.

Remote and hybrid work and, specifically, the increased connectivity experienced by employees can be a “double-edged sword” in influencing their proactive behaviour (PB). While employees experience increased organisation-based self-esteem, which positively correlates with more intense PB, this prolonged exposure may also cause emotional exhaustion (EE), which has a negative correlation with PB. Jointly considering both mediation effects revealed that WCBA’s total effect on PB remained negative.

This study enriches the debate regarding the development of TM practices specifically designed for remote work. It recommends paying greater attention to how employees react to increased connectivity experienced in remote and hybrid working environments. Increased self-esteem or passive EE are possible elements for identifying employees’ talent potential. The separation between work and after-work is becoming blurred in the digital age, which reduces employees’ motivation and ability to exploit their inner talents. Therefore, organisations must find alternatives to preserve their talent pools. This study enriches theoretical research on WCBA, promoting an in-depth application of the theory of job-demand resources in the digital age.

The proliferation of big data analytics (BDA)-enabled tools and technologies has endowed organizations with the capacity to augment decision-making processes, optimize operational endeavors and foster innovation across diverse business domains. Consequently, BDA has been posited as a catalyst for enhanced customer relationship management, improved risk mitigation strategies and heightened operational efficiencies, all of which converge to augment overall firm performance. Thus, the purpose of this research is to introduce a conceptual framework aimed at explaining the influence of BDA capabilities on the performance of telecommunications firms in Pakistan. Additionally, it examines the potential mediating effect of talent capabilities and moderating effect of top management attitude on firm performance.

Data from a sample comprising 520 participants were collected via survey questionnaires. The study employed Partial Least Squares-Structural Equation Modeling to empirically evaluate the proposed model.

Results reveal a positive association between BDA technology and information capabilities with both BDA talent capabilities and firm performance. Furthermore, the analysis suggests that BDA talent capabilities mediate the relationship between BDA dynamic capabilities and firm performance, while top management attitude acts as a moderator, enhancing the relationship between BDA talent capabilities and firm performance.

There is a scarcity of research that has examined the relationship of BDA capabilities, top management attitude and firm performance. This study attempts to examine their interrelationships. First, it enhances the extant literature by elucidating the mediating role of BDA talent capabilities in the relationship between BDA technology and information capabilities and firm performance. Second, the study introduces a novel dimension by incorporating top management attitude as a moderator variable. This augmentation adds layers of complexity to comprehending BDA implementation dynamics, emphasizing leadership’s role in fostering an enabling environment for effective utilization of BDA capabilities.

Talent management can provide an organization with a competitive advantage. However, little is known about how human resource practices pertaining to talent management drive positive outcomes. Drawing on social exchange theory, this study investigates the effect of talent management practices usage on employee commitment and intention to leave. Integrating social exchange theory and the theory of met expectations facilitated predicting the mediating role of perceived career growth in the talent management practices usage-employee outcomes relationship.

Data were collected using a survey from 268 employees from eight organizations from the financial and services industries in Jordan.

Talent management practices usage has a significant direct positive effect on employee commitment but no direct effect on employees’ intention to leave. Further, there is pioneering evidence that perceived career growth mediates the following relationships: talent management practices usage and commitment and talent management practices usage and intention to leave.

The study provides unprecedented evidence of the effect of TM practices usage on employee outcomes and the role of perceived career growth in the TM practices usage-employee outcomes relationship from an underexplored context of Jordon. Our research results contribute to theory development in TM by supporting, extending and integrating social exchange theory and the theory of met expectations.

The purpose of this paper is to explore the critical role of strategic human resource management in attracting and retaining top talent amidst the intensifying war for skilled workers. The key battlegrounds in the talent wars and the strategic HR levers organisations can use to gain a competitive edge are also highlighted.

The author draws upon previous studies, expert and industry insights to provide an overview of the challenges and strategies related to winning the war for talent. The findings from various sources are synthesised to identify the most critical issues and effective approaches in talent acquisition, employer branding, employee retention and the evolving role of chief human resources officers (CHROs).

This paper finds that innovative recruiting strategies, such as tapping into neurodiverse talent pools and leveraging remote work models, can help companies access new sources of skilled workers. Developing a compelling employer brand and value proposition is crucial for attracting top candidates. Retention strategies, including job crafting, frequent feedback, tailored benefits and a strong learning culture, are essential for engaging and retaining employees. This paper also highlights the increasing strategic importance of CHROs in driving talent management and organisational success.

This paper offers a timely overview of the war for talent by synthesising insights from various sources to offer actionable strategies for HR leaders. It emphasises the critical role of strategic HR in attracting and retaining top performers and underscores the importance of adapting talent management practices to the rapidly evolving world of work. This paper can be used as a source of information for HR professionals and executives, address some of the challenges of the talent wars.