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The objective of this study is to analyse the integration of technology in Human Resources Management (HRM) with a special focus on Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) and Big Data.

This study aims to contribute to the understanding of these trends by conducting a thorough bibliometric analysis using the Scopus database, encompassing research on HRM and Technology from 1991 to 2022. By employing citation analysis, co-citation analysis and co-word analysis, the study uncovers key patterns and trends in the field.

The findings indicate that AI, Big Data and ML are the focal points of research when exploring the intersection of Technology and HRM. These technologies offer promising prospects for enhancing Human Resource processes, such as Talent Acquisition, Performance Management and Employee Engagement.

In our study, we showcase the practical implications that offer guidance for HR researchers and professionals, enabling them to make informed decisions regarding the adoption and implementation of Information Technology.

This research can provide valuable insights to HR managers on the use of cutting-edge technology in HRM. It aims to enhance the manager’s awareness of how technology-enabled HRM can improve HR performance.

This study adds to the existing body of knowledge on how Modern Technology empowers HRM. It also proposes a conceptual framework for the use of Modern Technology along with Strategic Management and Knowledge Management to improve Human Resource Performance.

This book chapter examines how the evolution of the tourist and hospitality industries has been impacted by digital technologies. Digitalisation makes it possible to implement resilient infrastructure in all applications to achieve sustainability. The hospitality and tourism sector is known to be information-rich due to its diverse commercial interactions with shareholders and constant evolution of managerial processes, modification of tourist and hotel services, advancements in technology and an intensely competitive atmosphere. It has been recognised that growth of tourism and hospitality industry becomes impossible without the applications of modern digital technologies that enable integration and communication, boost service quality and transmit a sizeable amount of information. In the context of the tourism sector, the establishment of resilient infrastructure that relies on digital technologies is vital in order to obtain optimal consumer feedback pertaining to the provision of high-quality service. The utilisation of digital technology has demonstrated its capacity to enhance hospitality services through the facilitation of real-time data-driven decision-making. The objective of this study is to emphasise the importance and practical uses of the internet of things (IoT), artificial intelligence (AI), cloud computing and big data in the context of consumer quality and satisfaction. This study also addresses the significance of various technologies and their applications in attaining consumer quality and pleasure in the digital realm. Additionally, it might help company owners, managers and marketers in any field to achieve and improve high business performance by executing the right plans to use AI that fulfil the demands and expectations of both customers and staff.

Based on Indian conceptualisation of workplace spirituality, this study aims to examine the linkage between four dimensions of workplace spirituality (swadharma, authenticity, lokasangraha and sense of community) and work-to-family (WTF) enrichment. It also explored the mediating effect of psychological and social capital and the moderating effect of gratitude.

A sample of 387 women employees of Indian hospitality industry was collected in three waves. The collected data were analysed in three stages. Firstly, reliability, validity and multicollinearity were assessed using appropriate statistical measures like Cronbach’s alpha, composite reliability and average variance explained. Secondly, the relationship between four dimensions of workplace spirituality and WTF enrichment were examined using correlation and hierarchical regression. Several demographic variables like marital status, age, experience and income level were controlled. Thirdly, the moderating effect of gratitude and mediating effects of psychological and social capital were analysed using PROCESS macro.

The results showed adequate reliability and validity estimates. Also, four dimensions of Indian workplace spirituality were significantly related to WTF enrichment with these dimensions of workplace spirituality collectively explaining 46.8% variations in WTF enrichment. The results also concluded significant meditating effect of psychological and social capital. It also asserted significant moderating effect of gratitude.

The study is based on longitudinal data collected to test seven hypotheses of the study.

This paper aims to analyze the nature, magnitude and determinants of access to food among rural households in India during the COVID-19 pandemic.

The study is based on the World Bank’s Rural Impact Survey, which has documented the shocks of COVID-19 among 2,787 rural households across six states in India. The chi-square test and binary logistics regression have been used to analyze the data.

About 49.7 % of rural households have reported the incidence of food inaccessibility and shortage, and the majority of them reported a reduction in food intake during the COVID-19 outbreak. However, the magnitude of food accessibility varied across the states and the sociodemographic characteristics of the households. Furthermore, regression analysis indicates that family size, social category and occupation as sociodemographic variables and membership in self-help groups, wage employment under Mahatma Gandhi National Rural Employment Guarantee Act and Cash transfer under Pradhan Mantri Kisan Samman Nidhi and Pradhan Mantri Garib Kalyan Yojana as institutional support factors have a significant effect on access to food among rural households.

The findings of the study have far-reaching policy implications for developing an effective food distribution system in crisis situations like the COVID-19 outbreak. The study also provides directions for extending the research on determinants of access to food during crisis.

The study is based on a large survey data from the rural households in India and provides empirical evidence on access to food faced by rural communities during the COVID-19 lockdown.

With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.

Using the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.

This research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.

This study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.