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This study aims to develop a talent selection model for learning organizations capable of connecting two groups, candidates in a talent hiring process and managers of the hiring company, in a reliable process, promoting organizational learning and increasing employee satisfaction.

This paper integrates egalitarian principles, an artificial intelligence mechanism founded on stable matching algorithms, and evaluating critical soft skills to enhance recruitment practices within learning organizations. The authors conduct a numerical real-world application in Python to showcase the model’s effectiveness. Five candidates were evaluated for five job positions. Moreover, 26 soft skills were analyzed by the five company leaders, relating them to the requirements of each job position and by all candidates, as a self-assessment process.

The model promoted egalitarian talent management because it motivates the candidates to choose the preferred position in a company, and the employers hire the best candidate. It is satisfactory for all participants in a company’s hiring process if the parties intend to be fair and egalitarian. The benefits of the process can be considered isolated (parties’ satisfaction) or a part of a company’s effort to stimulate an egalitarian culture in organizational values.

The information generated by the model is used to refine its selection process and improve its understanding of the job requirements and candidate profiles of the company. The model supports this idea, using the concepts of indifference, stability, egalitarianism and the soft skills required and identified to be more effective and learn about themselves.

This paper discusses an egalitarian point of view in the recruitment process. It is satisfactory for all participants in a company’s hiring process if the parties intend to be fair and egalitarian. The process’s benefits can be considered part of a company’s effort to stimulate an egalitarian culture in organizational values.

This paper brings an excellent future perspective and points to the company’s development of talent retention. The model simultaneously solves the evolution of talent management processes through new technologies and soft skills emerging in the postpandemic scenario.

Despite the popularity of gig employment amid the changing business landscape, gig scholarship is somewhat limited and the untold reality about gig is yet to be fully revealed. This study aims to critically address the nature of gig employment, its ambiguities, evolution, theoretical premises and the appropriate future road ahead.

This paper adopts a dual analytical approach – bibliometric and thematic analyses. After incorporating the exclusion–inclusion criteria, the authors identified 2,135 articles for the bibliometric analyses by using VOSviewer. Additionally, for the deep-delving synthesis, the authors conducted thematic analyses following Braun and Clarke (2006), based on 351 papers.

The findings revealed that gig work, in its different forms, is emerging as an alternative work arrangement with respect to the future of work. This study also identified multilevel perspectives of gig employment along with its holistic nomological network. Finally, this study offers some critical research directions that should help enhance the theoretical and practical strengths of this nascent scholarship in future.

The review findings are limited in nature owing to the paucity of quality research papers published in the said domain.

The paper brings more clarity to what gig is and isn’t, along with its critical perspectives from multilevel lenses.

This paper identifies critical perspectives related to gig work and suggests appropriate directions for future gig work related scholarship.

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 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 paper is to present an empirical analysis, which consists of interviews with executive trainee programs of three international companies. The results of this analysis offer answers to questions currently being discussed in the corporate social responsibility (CSR) literature, namely, on the effects of CSR communication on top talent attraction.

The study uses structured interviews to analyze the communication perceptions and expectations of (n = 15) top talents when making employer decisions. It compares these with the expectations and intentions of HR managers responsible for programs and communications (n = 15).

The study found that HR managers only partially reflect top talents’ specific communication expectations. In addition to the program-specific CSR content, corporate communications have an overarching optimization potential in the communication mode and information architecture. It is particularly striking that future executives proactively seek CSR content in hiring and access corporate and brand communications for this purpose.

The study was conducted during the COVID-19 pandemic, which made a digital interview setting necessary and did not allow to react in detail on every physical signal. On top, the study has only 30 participants (15 HR/15 talents) from three different talent programs.

The study identifies practical, gender-specific and industry-specific implications for corporate communications regarding content and mode of communication. Companies should specify concrete measures for recruiting future executives, but they can also indicate efforts and first initiatives, thus setting a more decisive stage for an aspiration.

The study is characterized by its unique data set. Only a few companies have explicit programs for the development of future executives. The study also examines HR managers’ communication planning and expectations and future executives’ effective communication perceptions and perspectives.

This research seeks to understand whether employer branding (EB) and internal marketing (IM) are fundamental to the challenge of attracting and retaining talent and how these strategies can help companies to overcome the difficulties related to the talent shortage, from the perspective of a SME Portuguese metallurgical industry.

The research resorts to a case study of a qualitative nature, through a semi-structured interview with the head of the human resources (HR) training and development area of the Navarra Group, and quantitative, through surveys to its employees. Based on the literature, a conceptual model was constructed, whose application allowed us to perceive the relationships between the practices of EB and IM; satisfaction, motivation and commitment; attraction and retention.

The exploratory interview concluded that organizations consider EB and IM essential for an effective talent management strategy. The quantitative results demonstrate that IM and EB practices implemented in the organization contribute to the satisfaction, motivation and involvement of employees, which results in a decrease in the intention to leave. It is also noted that these practices promote an increase in the perception of organizational attractiveness, which represents a positive impact on its ability to attract.

From a theoretical perspective, the research contributes to the development of knowledge about IM, EB and talent management, providing relevant data that can help define the best strategies for attraction and retention, from the point of view of IM and EB.

The research presents preliminary insights that can be an auxiliary tool for HR managers and professionals in the context of industrial SMEs.

In today’s digital economy, it is very important to cultivate digital professionals with advanced interdisciplinary skills. The purpose of this paper is that universities play a vital role in this effort, and research teams need to use the synergistic effect of various educational methods to improve the quality and efficiency of personnel training. For these teams, a powerful evaluation mechanism is very important to improve their innovation ability and the overall level of talents they cultivate. The policy of “selecting the best through public bidding” not only meets the multi-dimensional evaluation needs of contemporary research, but also conforms to the current atmosphere of evaluating scientific and technological talents.

Nonetheless, since its adoption, several challenges have emerged, including flawed project management systems, a mismatch between listed needs and actual core technological needs and a low rate of conversion of scientific achievements into practical outcomes. These issues are often traced back to overly simplistic evaluation methods for research teams. This paper reviews the literature on the “Open Bidding for Selecting the Best Candidates” policy and related evaluation mechanisms for research teams, identifying methodological shortcomings, a gap in exploring team collaboration and an oversight in team selection criteria.

It proposes a theoretical framework for the evaluation and selection mechanisms of research teams under the “Open Bidding for Selecting the Best Candidates” model, offering a solid foundation for further in-depth studies in this area.

Research progress on the Evaluation Mechanism of Scientific Research Teams in the Digital Economy Era from the Perspective of “Open Bidding for Selecting the Best Candidates.”

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.

Cloud computing, a dominant technology, significantly impacts organizations, necessitating talent management strategies for sustained growth. This study aims to explore the impact of cloud adoption on large French organizations through a “learning organization” perspective.

Interviews were conducted with business and IT stakeholders from 35 multinational organizations in France.

Cloud services have a high impact on large organizations, leading to a demand for cloud-related skills, a power shift from IT to business departments and increased shadow IT activities. Effective utilization requires organizational learning and a change management project, transforming organizations into productive and innovative learning organizations.

This paper contributes to cloud computing, organizational learning and talent management literature, offering managers a novel approach to handling cloud services.

This study aims to advance the understanding of both the challenges and the priorities facing Spanish universities undergoing the digital transformation era, to identify areas for improvement in university management, from a managerial point of view.

To analyze the importance and adequacy of various aspects related to digitalization, the authors use the importance–performance matrix, by surveying figures who have or have had a managerial position in the university, such as rectors and vice-rectors.

The results showed that the priority areas were related to strategic and financial management, knowledge management and the society and environment dimension. It all revealed imbalances, the most important of which were in the areas referring to attracting talent, sources of financing, strategic management and digitalization.

The study could benefit from considering or placing greater emphasis on alternative viewpoints, including those of external experts and administrative managers at public universities.

The practical implications relate to university management. In particular, the study highlights two issues that are a priority: attracting talent and training for university management as well as for data management. It follows from these results that legislative development and public funding should be directed towards adapting the training offer as well as the management structure and processes to the context of digitalization.

These results have implications for the public sphere, for decision-making related to the public funding that organizations receive from governments. Indeed, as the empirical results demonstrate, the proposed framework is effective not only in assessing the status of digitalization in the university but also in providing information on the most important aspects that need particular attention to achieve the desired future condition.

The novelty of this study lies in the analysis and evaluation of the digitalization process and how public universities are facing it, from the perspective of university management. Methodologically, the novelty lies in the use of the importance–performance matrix, which not only provides insight into the importance of different aspects to be analyzed but also provides information about their adequacy.