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The first company under the Amara Raja Group was established in 1984, i.e. Amara Raja Electronics Limited (AREL) followed by Amara Raja Batteries Limited (ARBL). Its founder leveraged the presence of his family in Renigunta, a rural village in South India, and chose to start the industry there to create employment opportunities. Preference is given to local population in all ARG enterprises. Despite its strong people orientation, the HR department/function at ARG got strengthened only after Jaikrishna strived to make it central to business. The department's evolution has been demarcated in three phases. The first and second phase saw few initiatives, and during the third phase the HR department was structured according to the Dave Ulrich Strategic HR Model. While this structure had been successful until now, certain sections in ARG still doubted its sustainability.

The high turnover of new graduate employees has become a concern for many organizations in Korea. This study explores when new graduate employees leave first jobs and what makes these employees decide to leave employees' organizations.

Using national panel data from South Korea, the authors employed a survival analysis and examined the factors that explain the turnover of new graduate employees.

The findings of this study reveal that many new graduate employees leave the employees' organizations within two years. Moreover, work conditions, work satisfaction and job-skill match were associated with new graduate employee turnover.

Based on the results of survival analysis derived from actual turnover data, not turnover intentions, the authors emphasize appropriate human resources (HR) intervention, a working environment and organizational culture, and employee development opportunities.

In the current dynamic world, organizations required rapid changes to meet the increasing demands of their customers. On the other hand, the practice side claims that the majority of the organizational change attempts fail due to resistance from the employee side. Based on the behavioral theory of leadership, the authors examined the relationship between ethical leadership and organizational change with moderated mediation effect of behavioral resistance to change and commitment to change on the stated relationship.

Data were obtained from 333 employees, selected at random, in three waves (i.e. pre-change, during change and post-change) using survey methods from services sector organizations operating in Pakistan.

The authors found that ethical leadership was positively linked to organizational change and this relation was partially mediated by the commitment to change. Further, behavioral resistance to change weakened the relationship between ethical leadership and commitment to change.

The current study illuminates the importance of ethical leaders in the organizational change process, and empirical findings also gave an important direction to build change commitment in employees to reach positive results. Further, change leaders should use ethical practices in the workplace during organizational change initiatives to deal with behavioral resistance to change.

This study links ethical leadership with organizational change using the behavioral theory of leadership, an unexplored area in the existing literature that gives a new insight to academia and practice side officials to successfully implement any organizational change initiative.

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 firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR) professionals’ design thinking (DT) mindset strengthens the set of TEPs using predictive workforce analytics (PWAs).

The authors used SPSS computational named MLMED to test the proposed relationships by collecting data from 180 management professionals serving in subsidiaries of multinational corporations in Pakistan.

The statistical results demonstrated that DT is not directly related to firms’ TEPs. However, the statistical results supported the mediating role of firms’ use of PWAs between DT and TEPs.

The findings offer a new perspective for firms to use HR professionals’ DT mindset for modernizing the set of existing HR practices.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

Although humour and conflict are popular topics in management, little attention has been paid to the negative effects of humour in terms of how workplace humour could turn into unexpected conflicts. From the perspective of conflict management, human resources (HR) need to better understand this dynamic transition process. The purpose of this research is to explore the transition from humour to conflict and how HR perform when addressing humour-related issues.

A secondary data, multiple case study approach is adopted. Case studies are analysed qualitatively and thematically through a content analysis matrix.

Aggressive humour is closely related to conflict. Humour content and the context in which it takes place are important influential factors contributing to the transition from humour to conflict. It is challenging for HR to deal with humour-related issues: most victims are unwilling to report the issue at an early stage until they cannot bear the joke, forcing HR to perform reactively.

Workplace humour-related issues should not be overlooked. HR should adopt an early, proactive approach to prevent severe conflict from developing and relationships deteriorating.

This study highlights the dynamics and complexity of the transition from humour to conflict, providing new insights for HR in terms of effective conflict management.

This study is aimed at decoding the impact of supportive leadership behavior (leader–member exchange [LMX]) on job satisfaction (JS) through the mediating role of the work–nonwork interface (work-to-nonwork conflict [WNC] and work-to-nonwork enrichment [WNE]), within the work-from-home context in India.

Multiphased data collected from 232 full-time working Indian dual-working parents (with one or more children) were analyzed using structural equation modeling.

Overall, the hypothesized model receives empirical support from the data. LMX positively influenced WNE and simultaneously negatively influenced WNC. WNE, in turn, positively impacted JS, and WNC negatively influenced JS. Results supported only the mediating role of WNE between LMX and JS but not WNC. Women reported greater JS than men, and respondents staying in a joint family reported decreased WNC.

The current study takes a multiphased, multidomain approach to understand the underlying mechanisms of leadership’s impact while working from home.

By adopting a tailored approach, organizations can ensure better alignment between employee goals and the desired outcomes of the organization. This entails considering extended family requirements and designing HR interventions and strategies that accommodate the specific challenges faced by dual-working parents.

This study helps to shed light on the sparsely researched arena of the role of leadership in the work-from-home context, more so for Indian dual-working households. Hence, it makes significant contributions to theory and practice.

This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.

This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.

The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.

Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.

Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.