Search results

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 explore how coping strategies (CS) mediate the relationship between job insecurity (JI) and subjective well-being (SWB) leading to presenteeism among millennials. This study has been tested based on the conservation of resources theory (Hobfoll, 2001) and the transactional theory of stress and coping (Lazarus and Folkman, 1984). In India, employees in the information technology (IT) and business process management sectors have been facing increased job insecurity over the last couple of years. The advent of technology has increased job insecurity among millennials, specifically in the IT sector. The Indian IT and information technology–enabled service (ITES) sector witnessed mass retrenchments by companies in 2016–2017. Instead of reskilling, the companies decided to lay off their employees. During the pandemic, the IT and ITES industries witnessed a massive culture shift in terms of technology and work engagement. Postpandemic, the recession is looming large on these industries. In 2022, tech layoffs have witnessed 135,000 employees impacted globally and many may lose their job in the coming year. This study chose Indian millennials because they form a large part of the Indian workforce, especially in the IT and ITES sector.

In this study, cross-sectional design is used where different individuals are part of the study at the same point in time. A sequential mixed method of research is adopted for this study, owing to the kind of research questions and the requirement to include critical realism. A qualitative study was carried out post the quantitative study, to corroborate the results from the quantitative study. Quantitative methodologies address questions about causality, generalizability or magnitude of outcome, whereas qualitative research methodologies explore why or how a phenomenon occurs, describe the nature of an individual’s experience during the study relevant to the context and/or develop a theory (Fetters et al., 2013). Because the study is about the millennial workforce in IT and the ITES sectors, the sample population comprised employees in Delhi and the national capital region (NCR) of Delhi in northern India. Out of a total of 374 ITES companies listed in the national association of software and service companies (2018), 103 are based out of Delhi/NCR; hence, companies from Delhi/NCR were chosen for the study. The other reason for opting for companies based in Delhi/NCR was that many millennials from second- and third-tier cities also are employed in these companies bringing in varied cultural perspectives. This study included 588 employees working in ITES organizations based in the National Capital Region of India. Mediation analysis for statistical verification was carried out with regression-based analysis in SPSS macro process (version 4).

The impact of job insecurity on the positive and negative affects of the subjective well-being of millennials was found to be substantial. Coping strategies moderated the relationship and it was seen that both engaged and disengaged strategies of coping had an impact on the positive affect of subjective well-being but did not have any impact on the negative affect of subjective well-being. The positive affect of subjective well-being was negatively related to presenteeism, and the negative affect of subjective well-being was positively related to presenteeism.

This study is carried out only in the ITES industry and on millennials. With the advent of technology, other industries are going through challenges concerning layoffs even though the severity of the same might be less. In times to come, for strategizing employee engagement, it is necessary to understand how the workforce copes with various work-related stress factors. The positive affects and negative affects of well-being and responses have been studied from an employee perspective only. Further research should be conducted to explore responses from both employers and employees to establish presenteeism and the antecedents of presenteeism in conjunction with positive and negative affects of well-being. There is further scope to study the impact of job insecurity on adaptive presenteeism in older generations and various industries given the current job scenario and talent-reskilling issues.

This study brings forth original insights into the impact of constant job threats on millennials employed in the IT and/or IT service sectors. The key findings contribute to literature knowledge and help managers recognize the unfavorable consequences of continuous job threats on the well-being of employees. There is an immediate need for managers to recognize the problem and devise various policies and communication strategies to enable millennial employees to cope with the constant changes in the organization, owing to various technological, political and environmental factors. Organizations should be mindful of this impact, which can subsequently have serious consequences on the productivity of the employees, resulting in decreased overall performance and health of the organization.

This study of job insecurity as a job stressor, triggering coping strategies in Indian millennials working in the ITES and IT industry, presents original insights. This study explores and presents how the impact of job insecurity may increase presenteeism as a result of coping. This study brings value to practitioners and this study may help organizations improve the overall well-being of their employees, thus improving productivity. On the contrary, it also opens opportunities for exploring the impact of job insecurity as a challenge stressor.

This paper aims to investigate the relationship between employer branding (EB) and talent retention. The paper also analyses the mediating role of employee engagement in the association between EB and talent retention.

Partial least square structural equation modelling has been applied to carry out the analysis. The findings are based on the perceptions of IT professionals (n = 397) to assess the interrelationship between EB, employee engagement and talent retention.

The paper gives empirical insights on how employee engagement helps promote employer value offerings to the employee, which helps in the successful retention of employees. The results indicate that employee engagement partially mediates the association between EB and talent retention.

This study provides a clear direction to a diversity of practitioners working in IT firms. Building and maintaining sympathetic and emotional connections with co-workers, team leaders and higher managerial employees can help increase employee engagement. The findings can help business planners and managers focus their efforts on employer brand elements for successfully involving their workforce.

Authors believe this study is one of its kind to test the association between EB and talent retention mediated by the engagement level of employees. The present research study will help future academia delve into how EB can significantly impact the engagement and retention of existing employees.

This study aims to explore the mediating role of employee work engagement in the relationship between training and creativity in the education sector in India.

The sample for this study consisted of 260 faculty members from 11 public universities in the Punjab region. Partial least squares-structural equation modeling (PLS-SEM) was utilized to test the hypotheses.

The results of the study revealed that training has a significant direct and indirect effect on employee creativity through employee work engagement. The findings suggest that training can stimulate work engagement, highlighting the importance of fostering employee engagement for enhancing creativity.

While the method used in this study may not facilitate direct generalizations, it offers valuable insights into prevalent discursive strategies found in numerous contemporary public organizations.

The findings offer insights for designing targeted training interventions to enhance work engagement and foster creativity among faculty members in the education sector.

This study contributes to the existing literature by addressing a gap in research on the interaction between training, work engagement and creativity. As there have been limited studies on this topic in the education sector in India, this research provides novel insights and extends the understanding of how these variables are related.

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.

AI-based chatbots are revamping employee communication in organizations. This paper examines the adoption of AI-based employee experience chatbots by employees.

The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM.

This research presents the “reasons for” and “reasons against” for the acceptance of AI-based employee experience chatbots. The “reasons for” are – personalization, interactivity, perceived intelligence and perceived anthropomorphism and the “reasons against” are perceived risk, language barrier and technological anxiety. It is found that “reasons for” have a positive association with attitude and adoption intention and “reasons against” have a negative association. Employees' values for openness to change are positively associated with “reasons for” and do not affect attitude and “reasons against”.

This is the first study exploring employees' attitude and adoption intention toward AI-based EEX chatbots using behavioral reasoning theory.

Purpose: The main aim is to explore and recognize productive ways to create human-centred designs (HCDs) for employee experience (EX). HCD is a concept that prioritizes the needs, preferences, and behaviours of humans using the product or service. EX refers to all interactions an employee has with their employment lifespan – from recruitment to retirement. By taking the HCD approach to EX design, companies can create a work environment tailored to their employees’ needs and preferences.

Design / Methodology: The explorative research design to apply journey maps. By mapping out the employee journey, designers can identify pain points and areas for improvement.

Findings: The findings highlight that artificial intelligence and robotics are core components of designing HCD and can be applied to EX design. By prioritizing EX, companies can attract and retain top talent, increase employee engagement and productivity, and gain a competitive advantage.

Research Limitations: The study is developing and involves detailed insights from different companies, making it difficult and time-consuming to prepare a comprehensive report.

Practical Implications: The findings of the study will add value to other organizations to follow and develop policies and practices that make the employees cherish their work.

Originality: The chapter’s originality lies in providing a comprehensive understanding of HCD and EX. It emphasizes leveraging the strengths of both humans and bots for enhanced workforce experience and business growth. Exploring future automation and technology integration trends adds depth to the chapter’s contribution.

Industry 4.0 defines the application of digital technologies on business infrastructure and processes. With the increasing need to take into account the social and environmental impact of technologies, the concept of Society 5.0 has been proposed to restore the centrality of humans in the proper utilization of technology for the exploitation of innovation opportunities. Despite the identification of humans, resilience and sustainability as the key dimensions of Society 5.0, the definition of the key factors that can enable Innovation in the light of 5.0 principles has not been yet assessed.

An SLR, followed by a content analysis of results and a clustering of the main topics, is performed to (1) identify the key domains and dimensions of the Industry 5.0 paradigm; (2) understand their impact on Innovation 5.0; (3) discuss and reflect on the resulting implications for research, managerial practices and the policy-making process.

The findings allow the elaboration of a multileveled framework to redefine Innovation through the 5.0 paradigm by advancing the need to integrate ICT and technology (Industry 5.0) with the human-centric, social and knowledge-based dimensions (Society 5.0).

The study detects guidelines for managers, entrepreneurs and policy-makers in the adoption of effective strategies to promote human resources and knowledge management for the attainment of multiple innovation outcomes (from technological to data-driven and societal innovation).

The COVID-19 outbreak disrupted the business environment and severely affected the morale and performance of the employees. Further, the Indian automobile industry witnessed major setbacks and drastically impacted sector in COVID-19. Talent agility is an emerging concept in the field of HRM that will foster innovations and productivity in the automobile industry. Thus, this study aims to explore the barriers to building in-house agile talents in the Indian automobile industry in the new normal.

The barriers of talent agility were identified through a literature review and validated through experts’ opinions. This study used a hybrid approach, which combines Interpretive Structural Modelling-Polarity (ISM-P) and decision-making trial and evaluation laboratory (DEMATEL) to develop a hierarchical structural model of the barriers, followed by classification into cause and effect groups.

The result of the multi-method approach identified that shortage of skills and competencies, lack of IT infrastructure, lack of ambidextrous leaders, lack of smart HRM technologies and practices, lack of attractive reward system/career management, poor advanced T&D, poor industry, institute interface and financial constraints are the critical barriers.

It can provide a strategic roadmap for automobile manufacturers to promote talent agility in the current wave of digitalization (Industry 4.0). This study can help the managers to address and overcome the barrier and hurdles in building talent agility.

This study is unique in that it addresses the contemporary issues related to talent agility in the context of the Indian automobile industry in the current rapidly changing environment. This study developed a holistic integrated ISM(P)-DEMATEL hierarchical framework on the barriers of talent agility indicating inner dependency weights, i.e., the strength of interrelationship between the barriers.

Corporate diversity encompasses the different talents, knowledge, cultures, experiences and values of its employees. This diversity is reflected in multiple characteristics, such as race, age, gender, social class, religion, sexual orientation, ethnicity, culture and disability. The objective of this study is to identify if diversity is a value driver.

We take the diversity score from the Diversity Leaders Index 2023 published by Financial Times (FT) and Statista; this will be our independent variable in linear regression models whose objective variables are relevant fundamental indicators of the Euro Stoxx 50 companies. It is, therefore, a cross-sectional sample with financial data taken as of the current date. We have 37 Euro Stoxx 50 components included in the diversity ranking.

The results indicate that diversity is not a value driver for trading volume, for its revenue, or for systematic risk measured by the beta parameter. However, it is observed, in a confidence interval of 90%, that the most diverse companies are larger (according to their market capitalization). In addition, the most diverse companies are more profitable [return on assets (ROA)] and valued by the market [price to earnings ratio (PER)] in a confidence interval of 95%.

These results indicate that companies should promote corporate diversity as a management strategy, as it is observed that more diverse companies are more profitable and valued by the market. This study provides a quantitative vision in the context of homogeneous companies such as the Euro Stoxx 50 Index on the aspects in which diversity is a value driver.