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Introduction: Big data in the insurance industry can be defined as structured or unstructured data that can affect the rating, marketing, pricing, or underwriting. The five Vs of big data provide insurers with a valuable framework for converting their raw data into actionable information. These five Vs are specifically: (1) Volume: The need to look at the type of data and the internal systems; (2) Velocity: The speed at which big data is generated, collected, and refreshed; (3) Variety: Refers to both the structured and unstructured data; (4) Veracity: Refers to trustworthiness and confidence in data; and (5) Value: Refers to whether the data collected are good or bad.

Purpose: Insurance companies face many data challenges. However, the administration of big data has allowed insurers to acknowledge the demand of their customers and develop more personalised products. In addition, it can be used to make correct decisions about insurance operations such as risk selection and pricing.

Methodology: We do this by conducting a systematic literature review on big data. Our emphasis is on gathering information on the five Vs of the big data and the insurance market. Specifically, how big data can help in data-driven decisions.

Findings: Big data technology has created an endless series of opportunities, which have ensured a surge in its usage. It has helped businesses make the process more systematic, cost-effective, and helped in the reduction in fraud and risk prediction.

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.

There has been a continuous growth in the number of women leaders in higher education globally. Since 2005, there has been close to 50% growth in women with doctoral degrees. However, this has not resulted in similar growth of women is leadership positions in higher education. Women in turn have struggled a lot due to assumptions about the male and female characteristics such as gender stereotypes. This chapter explores the various stereotypical barriers experienced by women in leadership positions in higher education. The aim of the chapter is to highlight these barriers and how it has impacted women in her growth. An attempt has been made to explore these stereotypical barriers experienced by women leaders in higher education such as occupational sexism, exclusion of informal networks, tokenism, lack of mentoring, abuse at the workplace, and wage inequality. Despite these stereotypical barriers some countries primarily in the European Union have been leading with some positive examples such as Sweden with 43% of women as Vice Chancellors of universities. Another positive example is that the first authorship of women authors in medical journals has increase from 27% to 37% in two decades precisely from 1994 to 2014.

Purpose: This chapter explores the two major schemes applicable to skill development in India: Skill Acquisition and Knowledge Awareness for Livelihood Promotion (SANKALP) and Pradhan Mantri Kaushal Vikas Yojana (PMKVY).

Need for the Study: The primary objective of this research is to check the role of these schemes in enhancing the skills of socio-economically stressed community members for their livelihoods. The secondary aim is to analyse the outcomes of these schemes through a qualitative inquiry.

Methodology: A survey was conducted, and the data was collected from trainees of the skill development programmes. Based on the responses, a qualitative content analysis was performed, which showed that most trainees have the thirst and urge to enhance their life skills for a minimalistic livelihood.

Findings: The study concluded that though there are many schemes, only PMKVY is active. They focus on more than just youth communities. Instead, they consider individuals in different age categories.

Practical Implications: The Government of India (GOI) is progressing towards a healthy economy to compete with other countries. For this mission to be achieved, skill and labour development is paramount. Appropriate training must be provided and administrated through government schemes.

Although economic and entrepreneurship scholars have argued that high income inequality has a positive impact on entrepreneurship by increasing the incentives for high quality human capital to take entrepreneurial risk and by enabling talented entrepreneurs to accumulate and reinvest capital into new businesses, we suggest that the relationship between economic inequality and entrepreneurship may be more complex than initially indicated in light of recent research on the topic of social trust and entrepreneurship. We propose that income inequality is likely to have a curvilinear effect on entrepreneurial activity. Although moderate levels of inequality can increase entrepreneurial activity, very high levels of inequality will begin to reduce rates of entrepreneurship due to diminished generalized social trust in the community. Lower generalized social trust decreases the sharing of information and resources leading to fewer entrepreneurial opportunities, and as a result, lower levels of entrepreneurship.

This study aims to examine the relationship between digital financial literacy (DFL) and entrepreneurial performance in Sri Lanka. In order to identify the gap, this study has done a systematic literature review. Accordingly, Technology Acceptance Model (TAM) was used to bridge this gap. A survey of 385 small and medium business enterprises was conducted in Sri Lanka, and a descriptive analysis, correlational analysis, and partial least squares model was used for data analysis for two models. The first model examines the relationship between DFL and performance and the second model examines Access, Mobile literacy, and social media literacy and performance. Findings of this study includes DFL level is average in Sri Lankan SMEs. The measurement model is evaluated in two models and ensures reliability and validity. The results of the structural model of the first model reveal a positive relationship between DFL and entrepreneurial performance. The second model reveals the positive relationship between access and entrepreneurial performance. This research provides guidance on how DFL can improve SMEs performance which is important to achieve success in current businesses which faced a pandemic situation plus distress situation in Sri Lanka. Based on a systematic literature review, there is no empirical evidence about the relationship between DFL and entrepreneurial performance using the TAM model in the Sri Lankan context perhaps in the international context. This identified gap is bridged in this study in the Sri Lankan context.

Accredited Social Health Activists (ASHAs) are community health workers under the National Rural Health Mission of Government of India (NRHM). They have played a pivotal role during the COVID-19 pandemic in providing information and healthcare services to and from the remotest part of a village in India, working round the clock tracing patients and providing other COVID-19 related services along with fulfilling their basic duties of anti-natal care, immunization, sanitization, etc. The chapter seeks to understand the causative factors of invisibility and marginalization of ASHA workers. As most of them come from low-income and low-literacy background, they face discrimination and marginalization with long working hours, very low wages, and being treated as social pariah by the community they work in and work for. The study is particularly relevant because ASHA workers have worked as a communicating link between doctors, hospitals, and communities, and also through door-to-door survey, they have collected massive data during the pandemic, which has helped the governments to frame policies and take decisions. Both qualitative and quantitative methods have been used. I have interviewed some 55 ASHA workers (some of being my former students). I have used news clippings and government reports, regulations, directives and guidelines, survey reports of Thomas Reuters foundation, Amnesty International, Aziz Premji Foundation, as source material for information. There are certain gaps in policy making, social behavior, and attitude toward the ASHA workers, which need to be addressed.