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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.

To study the impact, awareness and preparedness of COVID-19, a “pandemic” that has aroused the attention of the entire world because of rapid infection rates; among the targeted rural communities as basis to analyze their self-sustainability level.

A mixed methodology/approach combining critical literature review and questionnaire-based survey has been followed in two villages, covering a sample of 150 households located in Solan district of Himachal Pradesh, India. The parameters were selected to check awareness/preparedness regarding basic guidelines, immunity, requirements of essential facilities to deal with COVID-19 patients, the effect of lockdown on social and financial status, difficulties in education.

The villages have the potential to transform into Smart Villages or Smart Communities with the adaption of self-sustainable processes. The self-reliance on agriculture and traditional lifestyle in targeted rural areas make them relatively safer as compared to the urban areas. The community's overall awareness about COVID-19 and its preparedness was found satisfactory, with some variations that require more innovative strategies with academic interventions.

Although the scope of the study was limited to two remote villages of Himachal Pradesh (India), the results could be generalized for in-depth understanding about other villages in the state to convert them into smart villages.

It summarizes a systemic perspective based on selected parameters on how COVID-19 lockdown has affected different aspects of life in rural communities. Further, collaborative efforts and adoption of self-sustainability model can lead to the remarkable transformation of villages into smart villages.

This paper aims to explore the challenges and benefits arising from the involvement of Panchayati Raj Institutions (PRIs) in the provisioning of primary healthcare in a decentralised health system of India.

A qualitative study design was used in this study. Data were collected through semi-structured interviews from 89 respondents selected from nine primary health centres across the district. A thematic analytical framework approach was used to analyse the data.

The research results indicate that there are several challenges resulting from PRIs involvement, including prioritisation of service providers and users, coercive unethical work and lack of communication. However, there are some benefits associated with the involvement of the PRIs in service provisioning, including improved availability and regularity of healthcare providers at the health centres.

The implications of the findings suggest that the PRIs play an important role in healthcare provisioning; however, their involvement is ineffective due to their partial capabilities and approach, which creates a non-conducive environment.

Health issues are among the most important human concerns, and recognising and addressing the grassroot challenges help to locate, and overcome the challenges that hinder the smooth healthcare provisioning process.

National Rural Health Mission has recognised the PRIs as a platform to promote decentralised health planning and for achieving its goals in India. The PRIs are significantly involved in planning, monitoring and provisioning of primary healthcare services at grassroot level. This paper addresses the challenges and benefits that emerged due to their involvement.

The explosion of the deadly coronavirus (COVID-19) has led to an unprecedented crisis lately, which has adversely affected the performance level of professionals in the educational sector worldwide because of numerous constraints, imposition of the lockdown being one of those. Organizational resilience (OReg) and emotional intelligence (EI) discretely have been identified as indicators of employee performance (EP) over the years, but during the period of crisis, it has scarcely been analysed. Therefore, this study aims to examine the mediating role of EI on the relationship between OReg and EP in such a global pandemic.

In total, 390 samples including teaching and non-teaching professionals working in higher educational institutions (HEIs) were collected from different HEIs located in India through online survey questionnaires. The collected data was further analysed using regression analysis, factor analysis, structural equation modelling along with bootstrapping technique, reliability and validity analysis, mediation analysis and model fit indices analysis.

The results of the study confirmed the partial mediation effect of EI on the OReg-EP relationship, and further results also exhibited that employees with a higher level of EI, contribute more positively to the OReg level, which further enhances the performance level at the workplace.

The samples collected for the current study pertain to the HEIs only, and therefore the present study results have limited general applicability. Furthermore, the study does not investigate the influence of time.

This study would assist practitioners of HEIs in improving the resilience capabilities of the organization. EP can be improved by enhancing the levels of OReg and individual emotional intelligence, which is in line with the findings of the current study.

In the COVID-19 pandemic, worldwide the students are affected due to the transition to online teaching. This study will help HEI’s to cope up with the student’s loss by being flexible in approach for the retention of performance of employees by taking care of their emotional needs and focusing on their skill development by providing a learning culture in a depressing time of the pandemic so that students will not suffer due to this rapid change without any preparation or previous experience in a pandemic.

The current study examines the mediating effect of EI on the OReg and EP relationship for the first time in HEIs in India.

This work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify associated literature gaps and to provide a future research direction in the field of DDQM in SCs.

A systematic literature review was done in the field of DDQM in SCs. SCOPUS database was chosen to collect articles in the selected field and then an SLR methodology has been followed to review the selected articles. The bibliometric and network analysis has also been conducted to analyze the contributions of various authors, countries and institutions in the field of DDQM in SCs. Network analysis was done by using VOS viewer package to analyze collaboration among researchers.

The findings of the study reveal that the adoption of data-driven technologies and quality management tools can help in strategic decision making. The usage of data-driven technologies such as artificial intelligence and machine learning can significantly enhance the performance of SC operations and network.

The paper discusses the importance of data-driven techniques enabling quality in SC management systems. The linkage between the data-driven techniques and quality management for improving the SC performance was also elaborated in the presented study.

The purpose of the paper is to examine the role of institutional distance as a determinant of outward foreign direct investment (OFDI) from India. The study combines a nuanced view of institutional distance, with traditional location factors to analyze Indian OFDI flows to developed and emerging economies (EEs) during the period 2009 to 2017.

The paper employs fixed effects panel regression model on an unbalanced panel data set.

The findings suggest that India's OFDI is undeterred by the isomorphic pressures caused by regulatory and normative institutional distance, but cognitive institutional distance acts as a deterrent in developed economies. Indian MNEs engage in institutional arbitrage as they simultaneously engage in strategies of institutional escapism and institutional exploitation. The study also finds that emerging economies have emerged as an important destination for strategic asset seeking FDI, in addition to developed economies.

The findings of the study present important implications for policymakers and corporate managers. For policymakers, the study points toward the need for improving the general business environment at home to prevent escapist OFDI and trade enhancement as a tool to overcome cognitive barriers and behavioristic stereotypes. For corporate managers, the study's findings underline the importance of adopting different strategies for dealing with different isomorphic pressures in developed and emerging economies.

The study adds value to the sparse literature using the IBV in the emerging markets context, to supplement and enrich existing theoretical frameworks. It is a pioneering study in its use of institutional distance as an explanatory factor for Indian OFDI and provides evidence of institutional arbitrage.

Silicon photovoltaics technology has drawbacks of high cost and power conversion efficiency. In order to extract the maximum output power of the module, maximum power point (MPP) is used by implying the nonlinear behavior of I-V characteristics. Different techniques are used regarding maximum power point tracking (MPPT). The paper aims to review the techniques of MPPT used in PV systems and review the comparison between Perturb and Observe (P&O) method and incremental conductance (IC) method that are used to track the maximum power and gives a comparative review of all those techniques.

A study of MPPT techniques for photovoltaic (PV) systems is presented. Matlab Simulink is used to find the MPP using P&O simulation along with IC simulation at a steady temperature and irradiance.

MATLAB simulations are used to implement the P&O method and IC method, which includes a PV cell connected to an MPPT-controlled boost converter. The simulation results demonstrate the accuracy of the PV model as well as the functional value of the algorithms, which has improved tracking efficiency and dynamic characteristics. P&O solution gave 94% performance when configured. P&O controller has a better time response process. As compared to the P&O method of tracking, the incremental conductance response rate was significantly slower.

In PV systems, MPPT techniques are used to optimize the PV array output power by continuously tracking the MPP under a variety of operating conditions, including cell temperature and irradiation level.

The purpose of this paper is to illustrate the use of a post hoc predictive segmentation procedure to find out the variables that are the most important predictors of investor's preference for specific financial investment products.

The study considers various demographic, socio‐economic and psychographic variables for the purpose of understanding the investor's preferences. Using a sample of individual investors (n=377), a classification and regression tree (CART) methodology was used to determine whether psychographic variables were better predictors than demographic and socio‐economic variables for understanding an individual investor's preference for the investment alternatives.

The results showed that psychographic variables emerged as the most important predictors in the case of investment products with greater degree of risk, and the demographic and socio‐economic variables emerged as the most important for the investment instruments with lesser degree of risk. However, when the sample was divided based on occupation profile (government and non‐government), for both the fixed returns based instruments and the non‐fixed instruments, psychographic variables emerged as the most important predictors.

These results show the need for financial service providers to consider the psychographic variables along with demographic and socio‐economic variables, so as to better understand and advise the financial consumers. This would enable the financial service institutions to target their audience more sharply, so as to develop appropriate marketing strategies and further build the investor's trust.

This paper is a first of its kind to empirically identify the most important variable that determines the financial consumer's preference for investment products in India, using CART technique. This study contributes to furthering the understanding of investor behavior.

The purpose of this paper is to examine the motivations behind Indian firms’ outward investment, i.e. whether these firms are investing abroad in search of market, resource, technology, strategic-assets, efficiency, etc. Outward FDI by Indian firms has increased considerably in recent years. Such investments have gone to more than hundred host countries and into various sectors. The higher volume of outward FDI following policy reforms requires examination of factors that have motivated Indian firms to invest in different host countries.

The empirical analysis is done for the period from 2008-2009 to 2011-2012 using firm-destination panel data with appropriate adjustment for clustering.

The analysis provides evidence of the existence of multiple motives behind such investments. Indian firms are found to have invested abroad in search of resource, technology (strategic-assets) and efficiency, whereas the evidence on market-seeking motive is found to be at best weak in the empirical analysis. The results are robust to the use of alternative sample of outward investing firms.

This analysis of firm-level motivation of outward FDI by Indian multinationals has pertinent policy implications as well. The presence of multiple motives implies that Indian firms could bring multiple benefits to the Indian economy through outward FDI.

The link between outward FDI and host country factors is examined at the firm level as against at the aggregative level using a comprehensive and unique official database on actual outward FDI made by Indian firms, originating from both manufacturing and non-manufacturing sectors, in the form of equity and loan.

According to Global Healthcare Security Index 2021, India ranked 66 out of 195 countries, indicating the need and scope for improvement. The Cooperative healthcare system which has been rendering exemplary services is yet to gain visible recognition in India. Given the need for upgrading the health infrastructure in India and providing more affordable health services to the country’s growing population, it would help appreciate the large role that cooperative healthcare can play along with others. This study explores the structure, conduct, and performance of healthcare co-operatives in India, the factors contributing to their success and failure, and the challenges they face. The Health Cooperatives have a strong presence in Kerala and Karnataka and are also coming up in other parts of the country. However, a detailed database of them for public awareness is very limited. The cooperative hospitals can meet the basic requirements of curative treatment in rural and poorly-endowed urban areas. The democratic way in which they function makes them a destination for a financially weaker section. They must retain this feature. The study covers two successful cases which reveal that India needs a more dense healthcare cooperative network. Since cooperative hospitals in tune with the spirit of service run on the principle of being ‘Not-for-Profit’ they need to be supported by the governments more liberally, without however interfering with their governance and administration.