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Introduction: In recent years, fresh big data ideas and concepts have emerged to address the massive increase in data volumes in several commercial areas. Meanwhile, the phenomenal development of internet use and social media has not only added to the enormous volumes of data available but has also posed new hurdles to traditional data processing methods. For example, the insurance industry is known for being data-driven, as it generates massive volumes of accumulated material, both structured and unstructured, that typical data processing techniques can’t handle.

Purpose: In this study, the authors compare the benefits of big data technologies to the needs for insurance data processing and decision-making. There is also a case study evaluation concentrating on the primary use cases of big data in the insurance business.

Methodology: This chapter examines the essential big data technologies and tools from the insurance industry’s perspective. The study also included an analytical analysis that supported several gains made by insurance companies, such as more efficient processing of large, heterogeneous data sets or better decision-making support. In addition, the study examines in depth the top seven use cases of big data in insurance and justifying their use and adding value. Finally, it also reviewed contemporary big data technologies and tools, concentrating on their key concepts and recommended applications in the insurance business through examples.

Findings: The study has demonstrated the value of implementing big data technologies and tools, which enable the development of powerful new business models, allowing insurance to advance from ‘understand and protect’ to ‘predict and prevent’.

Introduction: Artificial intelligence (AI) has now become an integral part of every aspect of the corporate sector. AI may be a massive branch of computing connected to building devices smart enough and capable of performing tasks that usually require human intelligence. Integrating AI with human resources (HR) practices will improve organisations, as these applications can analyse, predict, and diagnose to support HR teams for taking better decisions.

Purpose: This chapter throws light upon the current scenario of awareness of AI and machine learning (ML) and their impact on the industry of HR. This chapter tries to describe the usage of AI in our current world and the impact of AI in the field of HRM in organisations.

Methodology: The true possibility of AI and ML in HRM has been analysed with the help of pie charts, bar charts, and histograms with the segmenting of results and interpretations. Various frequently asked questions have been answered, and a sample population has also been surveyed on their viewpoints regarding specific areas.

Findings: This chapter concludes that HR experts see the best potential in analytics, attendance, recruitment, attendance management, and compensation/payroll. AI will significantly diversify the HR sector. HR professionals need to think outside of their function.

The case study aims to provide students with an understanding of the challenges businesses face expanding into the home market after having an international presence through exports. It also throws light on operations in an emerging market economy – both rural and urban. The key objectives are to understand the leather footwear business operation in India, understand the challenges of expanding business in India, analyse strategies adopted to sustain and compete in India and identify the possible distribution strategies for the leather footwear business in India.

The case study focuses on Tata International Limited’s (TIL) leather and leather products business in India. The leather and leather products division was present in India since 1973 (Anand, 2020) and exported to more than 35 countries across the world (Anand, 2020). TIL did not want to miss the opportunity available in India and planned to expand its leather footwear business in the country. The company opened retail outlets in major Indian cities and an experience store in Dewas (Madhya Pradesh) in 2019. It aimed for a domestic presence along with the existing export business. However, the biggest challenge that was in front of V. Muthukumaran, head of leather products division at TIL, was how to go ahead with the idea of domestic expansion (Anand, 2020). Should the company expand the market through sister companies (Westside and Tata CliQ) in India? How and in what way should TIL plan for going through Westside and Tata CLiQ? Should Muthukumaran think of either the brick-and-mortar route or the online route or both?

This case study is designed for use in undergraduate and graduate early-stage programmes. This case study is primarily designed for use in Master of Business Administration and/or Bachelor of Business Administration programmes. The case study is ideal for courses on understanding the expansion in the domestic market, strategy, retail and international marketing. The teaching note discusses theoretical frameworks such as external environment analysis and SWOT analysis to devise distribution strategies. The case study mapped the distribution channel and decision alternatives for the company.

Teaching notes are available for educators only.

CSS 8: Marketing.

This paper aims to organize the existing empirical research on women entrepreneurs (WEs) in India, highlight the research areas that have not received attention and present opportunities for future research.

A systematic literature review (SLR) was performed on 74 scholarly articles focusing on WEs in India and published between 1993 and 2020. This review is structured around the 4W framework used in previous SLRs. The review is directed by the following foci: what do we know about academic research on WEs in India? How were these studies conducted? Where were these studies conducted? Why should academicians and practitioners consider WE research?

The authors arrived at four main themes underlying the empirical research on WEs: success factors for WEs, challenges faced by WEs, factors that attract and motivate WEs and performance measures for WEs. While challenges and success factors have received attention from researchers, there is a distinct lack of papers on factors that attract or motivate WE and performance measures. The main gaps identified were a lack of theoretical basis in studies, reliance on interview and survey-based methodology and a lack of context-specific studies.

The findings of this review are limited to WEs operating in India. Only Scopus-indexed journals listed in the Australian Business Dean's Council Journal Quality List (ABDC JQL) were included in the final SLR list.

This is one of the first studies to use a systematic approach to provide a detailed account of the state of the literature on women's entrepreneurship research in India.

The paper aims to understand the young residents’ household waste intentions through place attachment (PA) approach where place dependency (PD) and place identity (PLI) influence recycling intentions (RIs). Furthermore, the effect of norms (both subjective and moral) on residents’ association with PLI was also analyzed.

The conceptual model, including the hypothesized relationship between variables, was established through relevant literature. The study extends the theory of planned behavior (TPB) through a place-based approach in young residents’ household waste RIs. The proposed conceptual model also replaced the position of norms (subjective and moral) as antecedents to PLI in the proposed extended and modified TPB model. Partial least square structural equation modeling (PLS-SEM) has been used for the statistical analysis of the data. The questionnaires were distributed digitally. The convenience sampling approach was adopted for collecting data.

The results tenably billed the inclusion of placed-based approach in the TPB and norms (subjective and moral) in predicting PLI of young residents. All the alternative hypotheses in the proposed model were accepted. The predictive power of RIs was 41.4%.

The research only considered the educated and financially opulent residents, among whom the waste disposal system was well established and may have led to favorable results. The study only limits to measuring intentions, and its organic nature opens vistas for future research studies where more variables could be agglutinated to achieve pronounced prediction power and also further measure actual recycling behavior and practice.

The study adds to pragmatic implications for local governments and municipalities where the waste collection apparatuses could capitalize on the findings to achieve efficiency in household waste collection and recycling.

With young generation of residents at the helm for forging a cleaner environment, the study motivates environmental enthusiasts and social scientists to better understand household waste RIs. The study will help young generation to become more sensitized towards the environment by making green changes in daily disposal habits.

The study explored two prospects. First, PA (place dependence and place identity) was added as an external variable and precedent to RIs, and second, the norms (both subjective and moral) were taken as antecedents to place identity.

The study aims to understand why women-owned microenterprises (WOMEs) in India experience a lower growth rate, where growth can be represented in increments in the venture’s size or scope. There is no conclusive understanding of the factors that affect the sustained growth of WOMEs in India.

What personal, social and economic factors support or hinder the choice, growth and sustainability of women-owned ventures? What role do institutional factors (government, nongovernment organizations (NGOs), self-help groups and microfinance institutions) play toward the sustainability of WOMEs? The answers to these questions were obtained through a qualitative design by interviewing 30 micro women entrepreneurs from Tamil Nadu, a Southern state of India and one of the largest hubs for WOMEs and their responses were content analyzed using NVivo 12 software.

The findings capture and apply the fundamentals of two key theoretical perspectives, resource-based view (RBV) and self-determination theory (SDT), in identifying the links between the individual, social and economic factors and their combined effect on the sustained growth of women-owned micro businesses. The findings add value in identifying the ingrained cultural norms and traditions and several internal and external factors that support or challenge the growth of WOMEs. This study highlights that the interventions by the government need to be strengthened for the growth and sustainability of WOMEs.

The study’s findings provide suggestions to policymakers, banks, funding agencies, financial institutions and NGOs to design applicable policies and schemes toward the sustained growth of WOMEs.

This study contributes toward a better understanding of the trends in the context of WOMEs from an Indian context. This topic has received little attention in the academic literature. Second, the study’s conceptual contribution is an application of SDT and RBV to understand and categorize the enablers and deterrents in the path of growth of WOMEs, which is a novel pursuit.

Lack of understanding around mental illness and stigma are an overwhelming barrier in help-seeking behaviour for mental health concerns. The purpose of this paper is to examine mental health literacy and social attitudes as instrumental factors in building capacity of the demand-side to support and access mental health care at the community level in India.

Knowledge, Attitude and Practice surveys were administered to 521 persons from the general population, distributed equally in the age range of 15-60 years. The study included 52 respondents per district from ten districts across five states in India, namely Andhra Pradesh, Assam, Delhi, Gujarat and Uttar Pradesh. The responses were collected and analysed thematically, keeping in mind the relevance of these findings as contributors to knowledge of mental health and to the construct of stigma.

Pervasive socio-cultural factors, especially stigma inhibit access to basic mental health information and care, despite knowledge that mental illness is treatable. Degrading treatment, loss of personal liberty and social exclusion, i.e. compromised human rights at the community level are widespread. Self-reported attitudes when encountering a person with mental illness show that respondents act out of fear and are guided by misinformation and myths. Extant knowledge on mental health is attributed predominantly to informal networks, as a potential resource to be strengthened.

Realising mental health care, including help-seeking behaviour calls for greater knowledge-sharing, sensitisation and community engagement.

This paper fulfils an identified need to study current levels of mental health literacy and underlying perceptions that contribute to the persistent treatment gap.