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This study aims to provide a holistic model for high performance work practices (HPWPs), work engagement (WE), job autonomy (JA) and service innovative behavior (SIB) of employees in hotel industry, taking social exchange theory as the base of the study. The present study examined the effect of HPWPs on hotel employees’ SIB, mediated by WE. This study further examined the moderating role of JA on the relationship between WE and SIB.

The study was conducted in both the Garhwal and Kumaon Himalayan regions, Uttarakhand state, India. Using convenience sampling method and standardized questionnaire, data were collected from 384 employees working in 32 hotels and relationships were tested using Hayes’ method of regression analysis.

The findings of the study revealed that WE mediated the relationship between HPWPs and SIB. Furthermore, it was observed that JA acted as a moderator between WE and SIB.

The responses were collected from the hotels of Uttarakhand region only, so the future studies may be carried out in other industries such as banking, automobile, IT, call centers, etc., as well as in some other region also.

The present study has made some crucial contributions to the existing literature and knowledge base. The study of different variables has been tested in western countries, but this integrated model is the first of its kind, which was tested in Indian context, i.e. Indian hotel employees, especially in Uttarakhand, India, that has completely different work settings/environment as compared to the western countries.

The purpose of this paper is to examine the prevalence of stress among police officers and the impact of it on their health.

A survey was conducted in randomly selected four cities from the state of Uttarakhand, India. A total of 444 police officers below the inspector-level ranks from eight police stations participated in this study. Structural equation modeling was used to examine the inter-relationship between the factors affecting health and assessing the mediating role of stress.

Findings revealed that organization politics and work overload held a positive relationship whereas perceived organization support had an inverse relation with stress. Work overload was found to be the highest contributor in causing stress with a strong positive relationship value of 0.52 with stress. Further, stress had a strong impact on the health of the police officers, indicated by the direct relation with a value of 0.55.

The study is limited to the geographical area of Uttarakhand. Findings revealed that the health of the policemen was highly affected by the stressful work environment and work overload. Hence, higher authorities of the police department are required to pay attention on the welfare activities of the force to improve the prevailing situation.

This study would be contributing to the literature available in Indian context by discussing the various antecedents of stress among the police officers.

Introduction: The Covid-19 pandemic wreaked havoc on the organisations in the form of increased job demands which manifested through increased workload, time pressure, etc. Similarly, stress and burnout engulfed the employees. Remote work became the new normal post-pandemic. Remote workers require more engagement. This has brought Artificial Intelligence (AI) to the forefront for engaging employees in the new normal.

Purpose: With limited studies on AI-enabled employee engagement in the new normal, this study investigates and proposes a conceptual framework of employee engagement in the context of AI and its impact on organisations.

Methodology: A systematic review and meta-synthesis method is undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes.

Findings: Since many organisations are turning to remote work post-pandemic and remote work requires more engagement, organisations are investing in AI to boost employee engagement in the new normal. Several antecedents of employee engagement such as quality of work life, diversity and inclusion, and communication are facilitated by AI. AI helps enhance the quality of work life by playing a major role in providing fair compensation, safe and healthy working conditions, immediate opportunity to use and develop human capacities, continued growth and security, work and total life space, and social relevance of work life. This has led to positive organisational outcomes like increased productivity, employee well-being, and decreased attrition rate. Furthermore, AI helps in measuring employee engagement. The various tools of AI, such as wearable technology, digital biomarker, neural network, data mining, data analytics, machine learning (ML), natural language processing (NLP), etc., have gone a long way in engaging employees in the new normal.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.

The COVID-19 pandemic ushered in multiple challenges for employees, which led to employee turnover, disengagement at work, employees’ mental health issues, etc. The study tries to elucidate how artificial intelligence (AI) herald great promise in human resource management in decreasing cost, attrition level and enhancing productivity. Considering the dearth of studies on recent trends in human resource management (HRM) in the context of AI, the study elucidates the role of AI in facilitating seamless onboarding, diversity and inclusion (D&I), work engagement, emotional intelligence and employees’ mental health. Thus, a conceptual model of recent trends in HRM in the context of AI and its organisational outcomes is proposed. A systematic review and meta-synthesis method are undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes. The findings of the study suggest that using natural language processing (NLP) and robots has eased the onboarding process. D&I is promoted using data analytics, big data, machine learning, predictive analysis and NLP. Furthermore, NLP and data analytics have proved to be highly effective in engaging employees. Emotional Intelligence is applied through AI simulation and intelligent robots. On the other hand, chatbots, employee pulse surveys, wearable technology, and intelligent robots have paved way for employees’ mental health. The study also reveals that using AI in HRM leads to enhanced organisational performance, reduced cost and decreased intention to quit the organisation. Thus, AI in HRM provides a competitive edge to organisations by enhancing the performance of the employees.