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This study examines the impact of perceived human resource management practices on talent turnover intention, with work engagement mediating and self-efficacy moderating the relationship. It examines how employees' perceptions of pay satisfaction, empowerment, participation and communication are related to their turnover intentions.

A total of 283 valid questionnaires from UAE government employees were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) was used to examine the proposed hypothesis.

The results reveal that employees' perceptions of pay satisfaction, empowerment, participation and communication are significant contributors to work engagement. The findings further demonstrate that work engagement significantly negatively affects talent turnover intention and acts as a mediator between employees' perceptions of individual human resource management practices and talent turnover intention. However, the results contradict the hypothesis that self-efficacy moderates the association between work engagement and talent turnover intention.

This study focuses on the impact of perceived human resource management practices on talent turnover intention, an area that has received limited attention in literature. By focusing on perceived human resource management practices, this study illuminates employees' subjective experiences and how they perceive human resource management practices intended to reduce talent turnover intention. The inclusion of the mediating effect of work engagement offers a more profound understanding of how employees' perceptions of human resource management practices influence their turnover intentions. This comprehensive approach to understanding the interplay between these variables provides valuable insights for organizations seeking to improve their human resource management practices and talent turnover intention.

Talent management research today is increasing as organizational requirements attempt to meet the challenges of effectively managing talent to achieve organizations’ strategic agendas. However, in learning organizations specifically, investigations of talent management practices are limited, with this study exploring the role of talent management practices in employee satisfaction and organizational performance in Pakistan.

The study was conducted in various universities (public and private) in Pakistan using a quantitative approach. Cross-sectional data are collected through a questionnaire, with analysis and conclusions based on completed questionnaires from 403 respondents.

The study’s findings from the analysis by structural equation modeling (SEM) emphasize the positive and significant effects of most talent management practices (i.e. talent identification, talent development, talent culture and talent retention) on employee satisfaction and organizational performance (talent attraction is the exception). Employee satisfaction positively and significantly affects organizational performance and is found to have a mediating effect, bridging the relationships of most talent management practices (talent identification, talent development, talent culture and talent retention) with organizational performance.

The study’s findings support human resource professionals, academics and policymakers in managing talent practices to enhance organizational performance. The findings assist in developing core skills and talent-related competencies to achieve organizational goals and success.

The study fills the research gaps by developing a framework of talent management practices for employee satisfaction and organizational performance in learning organizations, which warrants further consideration.

This study aims to investigate the relationship between talent management, organizational commitment and turnover intention. The moderating role of gender and experience in relationships was explored.

A conceptual model was developed, and relationships were studied by collecting data from 392 faculty members working in higher educational institutions (HEIs) in southern India. After checking the instrument’s psychometric properties using the LISREL package of structural equation modeling, data were analyzed using Hayes’s PROCESS macros.

The results revealed that talent recruitment strategies positively predict organizational commitment and negatively predict turnover intention; organizational commitment mediates the relationship between talent management and turnover intention. Further, the results documented that experience (first moderator) and gender of faculty members (second moderator) influenced the relationship between talent management and organizational commitment and organizational commitment and turnover intention.

The outcomes of this research are helpful for the administrators of HEIs to strategize to attract and retain talented faculty to maintain sustained competitive advantage. This research also helps to understand gender differences that exist in talent management and retention and organizational commitment in HEIs.

The three-way interactions between talent management, gender and experience in influencing organizational commitment and turnover intentions is a novel idea that contributes to the talent management literature – the relationship between talent recruitment strategies and talent engagement. The implications for talent management theory and practice are discussed.

The success of the organization depends on its sustainability and growth in the competitive market. Retention and attraction of talent in the organization are strongly associated with organizational performance. Employer branding is an outcome activity that helps organizations show their strength to attract and retain talent. Talent management practices are mostly essential in the current context for retaining talent. This study aims to explore and identify the contributing factors in efficient talent management and to examine whether the factors contributing to employer branding differ concerning different demographic profiles of the employees for information technology organizations.

Data were collected from 617 adult participants using an 85-item questionnaire on talent management comprising 25 domains, developed for the present study.

Principal component analysis of the data indicated that 20 different factors make an impact in developing strong talent management practices. Three broad areas were identified, namely, personal benefits and growth, transparent organizational culture and social commitment of the organizations.

Present research has not taken care of few other factors associated with the organization where employees’ retention gets adversely effected such as evaluation of performance and compensation management, training and development, etc. So, future research can be conducted these areas. These aspects are also required to be incorporated in future research.

Several implications of the present research can be presented in the following areas. It is found in the present research that the effectiveness of the talent management system mostly depends on personal benefits and growth, organizational culture and climate and the organizational out. Apart from the academic implications of the present research, practical implications of the present study cannot be ignored. The components and elements of the talent management in the perspectives employer branding can also appropriately applied by the organizations.

The contribution of the study lies in exploring and identifying three important aspects of the organization in talent management. Findings will have implications for different organizations in understanding, developing and implementing policies related to employer branding and talent management.

The purpose of the cross-cultural study is three-fold – (1) to examine the effect of agile strategic human resource management (ASHRM) practices for each stage of the employee life-cycle on employee outcomes, (2) to investigate employee outcomes – organisational outcome linkage and (3) to explore the link between organisational outcomes and shared values to society.

The research used random sampling to select 674 managers (358 from India and 316 from Thailand) who work in food processing firms. A structured questionnaire was administered to the respondents separately for collecting data. The authors used PLS-SEM to verify the study hypotheses and related research models.

The multi-group analysis (MGA) results indicated a significant difference in agile SHRM practices, employee outcomes, organisational outcomes and shared values in the Indian and Thai samples. However, the difference in the impact of the organisational outcome on shared values to society was found to be insignificant, suggesting that organisational outcome had a similar impact on shared values in both countries.

The agile strategic HR practices, especially talent acquisition, learning and development, reward and recognition, must be aligned to suit country-specific culture for improving job satisfaction, employee engagement and employee productivity, which would result in improved organisational outcomes such as profitability and customer satisfaction, ultimately enhancing shared values to society. This comparative analysis would also help the Indian and Thai food sectors develop new strategies or alter existing ones in light of the ASHRM model.

The study provides an innovative ASHRM framework from a cross-cultural perspective, which may help organisations to adopt agile talent acquisition, career development and separation strategies to thrive in the turbulent international business environment.

The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.

The review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.

The emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.

The primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.

The study examines the mediating mechanisms of job engagement (JE) and organizational engagement (OE) in the relationship between organizational career development (OCD) and retention of millennial employees.

Data from a total of 422 employees working in information technology organizations in India were collected through a structured questionnaire survey and subjected to analysis using structural equation modelling (SEM) with a confidence level of 95 percent. The convenience sampling technique for collecting data and descriptive research design was used in the study.

Results of SEM indicate that there is a positive relationship between OCD and employee retention (ER), which is mediated by JE and OE partially.

The study contributes by establishing the mediating role played by JE and OE in the relationship between OCD and ER.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

Smart HR 4.0 is a new concept characterized by adopting innovative technologies of Industry 4.0 (I4.0) in the HR domain. This study attempts to identify the key factors of Smart HR 4.0 to foster organizational innovation ambidexterity.

Based on review of literature and survey from expert opinions by using the Delphi method, 12 factors were found most suitable for this study. Further, the fuzzy-TISM technique was used to establish contextual relationships and develop a hierarchical model on the identified factors. Subsequently, the MICMAC analysis was applied to classify these factors according to their driving and dependence power.

This study framed a conceptual hierarchical model of Smart HR 4.0 and established contextual relationships among identified factors. Result shows that smart organic structure, industry–institute interface, IT-enabled system and ambidextrous leadership are important factors as they have the highest driving power. Further, knowledge management, learning culture and psychological empowerment are the linkage factors having both driving as well as dependency power in the whole system.

This study can guide the managers in smoothly implementing these practices to manage their human capital amidst digital disruption, ensuring innovation competitiveness of the firm. The structural hierarchical framework of Smart HR 4.0 may serve as a blueprint for HR professionals and business leaders to attain organizational innovation ambidexterity in the current wave of digital disruptions (Industry 4.0).

This study provides a holistic model of smart HR 4.0 integrating innovation ambidexterity in I4.0.

By following the “employee-centric” approach, this study aims at identifying the impact of high-performance work systems (HPWS) on specific employee attitudinal outcomes such as work engagement, job satisfaction and affective commitment in the Indian healthcare industry.

The target population for this study includes the nurses working in large private multi-specialty tertiary care hospitals in India. Partial Least Squares Structural Equation Modelling (PLS-SEM) techniques are used on a sample of 152 nurses working in two large specialty hospitals.

In the Indian healthcare industry context, the nurse's perception of HPWS has shown a significant positive effect on their attitudinal variables such as work engagement, job satisfaction and affective commitment. When checked for mediation of work engagement and job satisfaction variables in HPWS – affective commitment relationship, nurse's job satisfaction partially mediated the relationship, but nurse's work engagement has shown no mediation effect.

This is one of the pioneering studies conducted in the Indian healthcare industry context, especially on the nurse's sample in identifying the impact of high-performance work systems on their attitudinal outcomes. Underscoring the paucity of HPWS research in the Indian healthcare industry, this study's findings will be an addition to the HPWS literature and also to the nursing research in the Indian healthcare settings.