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The main aim of this study is to explore the role of multi-dimensional human capital on the economic growth of the Indian economy.

The study used the methodology given by World Bank, 2018) in calculating the human capital index (HCI). The HCI has been constructed at a regional level for all 28 Indian states and 8 Union Territories (UTs) for the period of 2015–2016. The study explored the linkages between HCI and per capita gross state domestic product (PGSDP). The study further employed OLS (Ordinary Least Square) for overall significance and Spearmen’s Rank correlation coefficient test for establishing the linkage between HCI and PGSDP.

The results indicate that quality education, expected year of schooling, and infant mortality rate play a significant role in the improvement of HCI which further impacts the productivity rate of the upcoming generation and the inclusive growth of the country. The findings show that Mizoram, Chandigarh and Kerala are better performing states while the Bihar and Uttar Pradesh are the worst performers. The results also show that there is a positive and statistically significant correlation between PGSDP and HCI and its components. Further, the results show that public expenditure on health and education has significant effect on HCI.

The results of this study would be useful for policymakers to identify the determinants and improve the position of Indian states in HCI. The results show that policymakers should focus on quality education and health to improve the productivity of future generation workers for sustainable and inclusive growth.

The study is the pioneering study to analyze the state-wise HCI in India using methods mentioned by the World Bank. Unlike previous studies, variables such as expected year of schooling, under-5 mortality rates and survival rates are constructed more pragmatically.

This paper aims to investigate the use of Industry 4.0 (I4.0) technology and its barriers in human resourcemanagement (HRM) for Smart HR 4.0 and its impact on HR performance.

The research has been conducted using the grounded theory approach. Semi-structured interviews were conducted with 122 senior HR officers of national and multi-national companies in India after the extensive literature review. NVivo 8.0 software was used for the analysis of the interview data.

I4.0 technology is used for HRM functions by HR professionals. It is revealed that Smart HR 4.0 that emerged from the I4.0 technology has leveraged the HR performance. It is also found that usage barriers, traditional barriers and risk barriers affect the use of I4.0 technology in HRM.

A model is developed using the grounded theory approach for HR managers to understand the impact of I4.0 on HRM. This study reveals the barriers affecting the use of I4.0 technology in HRM. It also provides the model for HR performance that emerged through the use of I4.0 technology in HR and Smart HR 4.0. The research delivered key insights for the HR professionals, marketers of HR technology and technology developers.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

This paper aims to empirically investigate the moderating role of corporate governance (CG) in the capital structure-performance relationship.

The analysis is based on top Business Today-500 companies and covers a time span of 10 years. The fixed effect panel regression model is used to examine the impact of CG mechanisms on the relationship between capital structure and firm performance.

The core findings of the study indicate significant positive moderating role of board independence, board size and family ownership on the relationship between leverage and performance.

The results enable the managers of Indian firms to comprehend the significance of CG framework while taking financing decisions. The findings encourage managers to raise debt funds in those firms that adhere to good governance norms.

Unlike extant studies that emphasize on the moderating impact of single CG variable in leverage-performance relationship, the current work comprehensively examines the role of many CG factors that moderate the relationship between capital structure and firm performance. To the best of the authors’ knowledge, the present study is the first of its kind with respect to India.

The issue of trust in Industry 4.0 is extremely important from an organization’s perspective. The dynamic development of 4.0 technologies implies wide-ranging changes, which, in order to be implemented effectively, require cooperation based on trust. The purpose of this literature analysis is to identify key research areas regarding trust in Industry 4.0 and to identify further research directions.

Based on a comprehensive literature analysis, the most prominent areas of research on trust issues in Industry 4.0 will be presented (k=36). This chapter will also identify and discuss directions for further research.

The results of the analysis enable to illustrate the trends of science development in the area of Industry 4.0, as well as to identify key issues related to trust. Moreover, the research problems for further studies on the analyzed issue will also be indicated.

The research presented here identifies key Industry 4.0 technologies that are based on trust.

The review provides a valuable resource for practitioners regarding the critical aspects of implementing Industry 4.0 with respect to trust.

This is the first comprehensive literature review diagnosing research areas, technologies, and directions for future research on trust in Industry 4.0.

Sustainable Development Goals (SDGs) are forming a blueprint for attaining the prosperity and peace for the entire world as it is an accomplishing goal of the UN agenda of 2030. SDGs focus on ending poverty and creating new life in a better way. These goals give a clear vision to achieve the optimum growth in a sustainable manner. Corporates are now mandated by law in India to contribute a certain percentage of profits to the cause of social development, ultimately helping the nation develop. The main aim of business is to earn money, and all the related decisions affect the board of directors, associated stakeholders, customers, etc.; all these practices also affect the internal employees in an ethical way. In order to prevent the companies to do any unethical practices, government has mandated some laws; all the corporates need to spend and utilize their corporate social responsibility (CSR) contribution in a particular time frame. All the prescribed activities need to be accomplished in a particular time frame. Along with profit maximization, the business is shifting their attention toward the conservation of natural resources. In this study, the researcher has provided a linkage between CSR and SDGs. Through this research, the objective is to attain the mapping between schedule seven of companies act 2013, section 135 and 17 goals of SDGs.

The surge in coronavirus disease (COVID-19) cases in India raises the need to study the variables that affect product and category choices, consumer buying preferences and consumrs' future spending. The purpose of the research is to analyse the purchasing behaviour of Indian consumers with regard to health and hygiene products, taking into consideration the impact of the current pandemic crisis.

Using purposive sampling criteria, a web-based questionnaire was circulated and a total of 411 responses were received.

The results assert that variables such as awareness of social distancing, brand-cause fit, word-of-mouth (WOM) publicity, altruist attribution, perceived usefulness and social norms have significant impact on trust and perceived values, which ultimately leads to consumer's purchase intention towards health and hygiene products. In addition, the model detects the moderating role of health consciousness.

The empirical findings will help marketers in designing their strategies to enhance consumer purchase intention with regard to health and hygiene products in the current pandemic situation.

The study enriches the emerging literature with regard to the impact of COVID-19 on health and hygiene products retailing.

The purpose of this study is to identify the factors affecting the quality of technical education in a developing nation, India.

Participants were 465 students and 310 faculty members who were randomly chosen from a total of 31 institutions/colleges/universities providing engineering education in Punjab state of India. The factor structures were obtained by applying factor analysis.

The result of this research reveals ten factors determining the quality of technical education, such as teaching practices, infrastructural facilities, industry–institute linkage, faculty's qualification, reputation of the institute, procedural simplification, administrative staff services, access and equity, financial burden of the course and work culture. Moreover, the research results also reveal eight factors affecting the quality of technical education, namely, institutional standards, institutional support, teaching environment, teaching practices, performance-linked promotion, work culture, academic freedom and administrative services in this order of preference are essential for the delivery of quality in technical education.

This study is the first attempt to examine the factor structure of technical education quality from both the perspectives of students and faculty. The implications of this study are expected to help the management of technical education institutes, regulatory agencies and the government in devising strategies to enhance the quality of technical education in India.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

With the rapid development of technology in the 21st century, an ever-growing number of organisations are adopting digitalised technologies. The global economy connected with digitalisation is moving towards sustainable development. Individual firms adopt innovative technological strategies to consolidate their position in the competitive market. The study aimed to examine the management perception of the impact of E-commerce adoption (EC) on business performance (BP) – the moderating role of using artificial intelligence (AI).

A quantitative study using the deductive approach and the data collected from senior managers of the small and medium-sized enterprises (SMEs) in Sri Lanka, and 389 samples were collected using a simple random sampling method. EC, BP and AI were named as the independent, dependent and moderating variables in the model. Porters' generic strategies and resource-based views (RBVs) were applied as the foundation of the study.

The independent and moderating variables significantly influenced the BP. Managers' age, gender, education level and job position affect their perception.

The global economy is moving towards sustainable development using digitalisation. The firms should blend their strategies with digitalised platforms to survive in the competitive market.

The peer review history for this article is available at the following link: https://publons.com/publon/10.1108/IJSE-12-2021-0752