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The purpose of this paper is to investigate the intergenerational occupational mobility for young women (vis-à-vis their mothers) in India and six of its states from its diverse geographic regions which contribute 39 percent of the Indian population.

The study uses transition/mobility matrices and multiple mobility measures for examination of intergenerational occupational mobility among young females in India by using the data from the “India Youth Survey: Situation and Needs” from the year 2006 to 2007.

The study finds that intergenerational occupational mobility among the young women in India is about 71 percent, but surprisingly it is predominantly downwards. The urban areas have higher occupational mobility than the rural areas. However, upward intergenerational occupational mobility is lower among the young SC/ST women compared to the young women belonging to the “Others” caste category. Moreover, upward mobility in the economically and demographically poorer states is much lower than that of other states.

The present study is the only study which examines how women perform vis-à-vis their mothers in terms of occupational attainment in the Indian context.

A few studies in India have related daughters’ education to their fathers, but there is little to no evidence when it comes to the intergenerational relation between daughters and mothers’ education. Using India Human Development Survey (IHDS) 2011–2012, the purpose of this paper is to investigate intergenerational educational mobility among women (15–49 years) (vis-à-vis their mothers) for all India.

The study uses transition/mobility matrices and multiple mobility measures for the examination of intergenerational educational mobility among women (15–49 years) in India. The data have been taken from the “India Human Development Survey 2011-12.”

Findings indicate that intergenerational educational mobility at the all-India level is about 0.69, that is, 69 percent of the women acquire a level of education different from their mothers. Of the overall mobility, about 80 percent is contributed by upward mobility whereas the rest is downward. Mobility is greater in urban areas and is highest among the socially advantaged “Others” (or upper) caste group. Also, the upward component is substantially lower for socially disadvantaged groups compared to others. Further, there are large inter-regional variations, with the situation being worst in the central and eastern states such as Uttaranchal, Chhattisgarh, Bihar, Jharkhand, Assam, Arunachal Pradesh, Meghalaya, Manipur, Mizoram, Tripura, etc. Moreover, mobility (overall and upward) increases consistently as one moves up the income distribution.

This study is perhaps the first study which comprehensively studies intergenerational educational mobility for women (15–49 years) at an all-India level. Findings not only capture the mobility at the aggregate level but also for different caste groups as well as regional variations and income effect.

Nearly 200m people in the world experience considerable functioning difficulties. Also, more than three-fourth of the population aged 50 years and over is suffering from some kind of disability in India, China, Ghana, Russia, Mexico and South Africa. Despite the compelling nature of this issue, evidence on socioeconomic disparity in the occurrence of disability is lacking throughout the world and particularly in the aforementioned countries. The purpose of this paper is twofold – first, to examine the socioeconomic inequalities in the prevalence of disability in the selected countries; and second, to investigate the cross-country differentials in the prevalence of disability by socioeconomic characteristics.

The authors use data from the Study on Global Ageing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia and South Africa during 2007–2010. Disability scores have been constructed using Item Response Theory Partial Credit Model based on eight health and functioning domains. Bivariate analysis, concentration curves, concentration indices and multivariate regressions have been used in the analysis presented in this paper.

The authors find that the prevalence of disability varied considerably across sociodemographic groups. Moreover, this variation is not uniform across all countries. Also, age, Sex, work status, years of schooling and economic status emerged out as significant predictors of disability among the studied countries.

This is perhaps the first study which examines the socioeconomic inequality in disability conceptualized in a comprehensive manner among older adults spread across low to upper middle income countries. The alarming level of prevalence of disability among sociodemographic disadvantage groups calls for immediate attention in terms of detailed study of risk factors, effective policy and timely intervention.

A woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.

The analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).

From 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.

To the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

Today the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.

Convenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.

Findings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.

Research outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.

Study suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.

Major contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

Amid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.

The authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.

The authors’ findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.

This study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.

This research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.

Disabled are often vulnerable to social exclusion due to the lack of social protection schemes. Therefore, in the absence of adequate social welfare systems, social cohesion is of enormous importance for the disabled older adults. That said, the purpose of this paper is to explore the link between disability and social cohesion among the older adults in China, Ghana, India, Mexico, Russia and South Africa.

Data from the Study on Global Ageing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia and South Africa during 2007–2010 have been used for the analysis. Disability scores and social cohesion scores have been constructed using the Item Response Theory Partial Credit Model. Also, bivariate, multivariate and path analyses have been used for the examination.

Results show that disability substantially and significantly restricts social cohesion of the older adults in the selected countries. Moreover, path analysis indicates that, among others, disability affects physical activity which, in turn, leads to a lower socially active life. In addition, social cohesion is significantly lower among the older adults who are females, residing in urban areas, in poorer classes, widowed, not working and not having formal education.

To the best of the authors’ search, this study is perhaps the first attempt to look into the association between disability and social cohesion in a comprehensive and holistic manner in a multi-country context. A socially cohesive society provides a sense of belonging, participation, inclusion, and recognition to all. So, it is high time to create a socially as well as economically sensitive environment which can provide due recognition and inclusion to the disabled older adults.

The purpose of this study is to investigate the role and impact of state regulation of corporate social responsibility (CSR) spending on company actions and to examine whether making mandatory CSR encourages businesses to engage in social welfare projects. Additionally, the authors also investigate whether these CSR expenditures can enable India to meet the Sustainable Development Goals (SDGs) 2030.

CSR expenditure data from the government repository of 22,531 eligible companies in India were studied from FY2014–2015 to FY2019–2020. CSR spending is further classified according to development areas of Schedule VII of the Companies Act, 2013, and mapped with the SDGs to see which ones the corporations have prioritized.

CSR spending increased from INR 10,066 crore in 2014–2015 to INR 24,689 crore in 2019–2020. Companies have prioritized CSR expenditure on education, followed by health care and rural development. The number of companies spending more than the mandated expenditure increased by around 75% from 2014–2015 to 2019–2020. However, the “comply or explain” approach of the law has led to a major number of companies spending zero on CSR. Companies have generally concentrated on moving CSR funds to designated funds rather than using them for capacity development to instill social responsibility culture.

This study provides evidence of the impact of mandatory CSR expenditure on welfare activities and SDGs. Unlike previous research, the results of this study are based on CSR expenditures rather than voluntary CSR scores.

Students will have the opportunity to learn about differentiation strategy, business plans, strengths, weaknesses, opportunities and threats analysis. The primary objective is to allow students to evaluate Abhishek Singh’s decisions. After working through the case and assignment questions, students will be able to: understand the competitive landscapes in the Indian insurance broking market. Differentiate between selling and marketing. Understand the importance and application of differentiation strategy in the Indian insurance broking market. Emphasize the importance of value proposition in developing a competitive advantage for insurance broking organization. Critically analyze the internal strength and weaknesses of an insurance broking company.

RHIBPL, one of India’s largest insurance broking companies, operating for more than 12 years and has had a strong presence in eight major cities of India. RHIBPL had been known for life insurance, non-life insurance like cars, two-wheelers, Mediclaim and health. RHIBPL’s unique selling proposition was the best fit for each product and service after understanding the customer’s need. On October 16, 2020, Abhishek Singh, CDO at RHIBPL, was preparing for an upcoming management meeting on the company’s vision “to be the largest insurance provider in the country and to reach US$ 140 million by 2025,” which was communicated by the Ajay Bansal, founder and chief executive officer of RHIBPL. Singh had to prepare an action plan to achieve the RHIBPL’s vision. He had to develop and implement a differentiation strategy to achieve the RHIBPL’s vision from the available resources. How can he create a competitive advantage for RHIBPL in the highly competitive insurance broking market?

The case delineates the challenges facing an insurance broker company to achieve its new corporate vision. This case can be discussed in undergraduate and postgraduate courses (at the introductory level) in the business management discipline to understand the importance and application of differentiation strategy and competitive advantage. This case can also be significant for insurance-related courses for postgraduates and executives working in the insurance industry. The case can be useful for the courses on services marketing, strategic management, strategic marketing management and marketing management.

Teaching notes are available for educators only.

CSS 8: Marketing.

The construction industry has an intricate and constantly evolving supply chain (SC) that includes multiple stakeholders and processes. Enhancing SC resilience (SCR) is essential for promoting industry expansion and competitiveness. The SCR has attracted considerable interest because of the increasing worldwide challenges and threats facing SCs. This study introduces a conceptual framework for recognizing and classifying resilient supply chains’ critical success factors (CSFs) in sustainable construction.

This research employs a sequential mixed-methods approach, combining qualitative and quantitative analyses. Initially, an extensive literature review and expert consultations were conducted to identify potential CSFs. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was then applied to classify these CSFs into cause-and-effect groups. To further analyse the interrelationships among the CSFs, interpretive structural modelling (ISM) was utilised, establishing a hierarchical framework. This integrated methodology provides a comprehensive understanding of the CSFs’ relative importance and their driving and dependence power, facilitating targeted interventions for enhancing supply chain resilience in the construction sector.

This integrated methodology establishes a hierarchical ranking of CSFs across five levels by revealing their causal interrelationships. The study addresses crucial SCR issues and provides actionable insights. The 17 finalized CSFs have 12 causal and five effect factors. The “safety measures and guidelines” have the highest driving potential, whereas the “availability of standardized materials/equipment” and “skilled human resources” depend highly on causal CSFs. The findings will offer a detailed perspective to narrow the gap between unsustainability and sustainability by enhancing the resilience of CSC.

It offers a pragmatic framework for allocating resources and efforts to enhance the resilience of construction supply chains (CSCs). Policymakers can also use this study to create a more resilient SC for sustainable construction.

This study uniquely identifies and evaluates CSFs for SCR in the construction industry, providing a novel analysis of their driving power, dependence power and ranking. No previous studies have demonstrated such a comprehensive evaluation.