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There have been limited studies which investigate the interlinkage between crime and economic affluence. The purpose of this paper is to investigate the linkage between crime and economic affluence in India.

The study is based on annual data spans over the time period 1982-2013. Standard econometric tools like unit root test, co-integration and two stage least square technique have been used to analyze data and to draw inferences.

The study finds that crime and economic affluence are interlinked in India. However, the nature of the linkage is not uniform over the time span. It is observed that economic affluence affects violent crime positively in the long run, but crime effects affluence negatively. In the short run, however, the relationship between crime and economic affluence is observed to be reversed.

This study is first of its nature to investigate the bi-directional linkage between crime and economic affluence in India. This study helps us to understand that controlling the crime rate is the urgent need of the hour to alleviate the pace of long run economic affluence in India.

Few empirical studies examined the relationship between life expectancy and income in India. This study aims to examine the impact of life expectancy on economic growth in India by incorporating all the major states of India.

This study is based on secondary data and includes 16 major states of India covering the periods 2000–2014. The author used panel fixed effect model (FEM) to examine the impact of life expectancy on economic growth.

Empirical analysis revealed a positive trend in life expectancy in India. In association with life expectancy, the author found continuous growth in the elderly population. The result of the FEM shows that gains in life expectancy positively affect economic growth in India. The empirical findings do not support any negative impact of life expectancy gains on economic growth.

This study is the outcome of the independent and original research work of the authors and contributes significantly to the literature on the demography–economic relationship. The findings of this study help the author to understand that life expectancy gain is in no way a constraint, rather the skill and experience of the workforce are crucial to determining economic growth.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0422.

The fuel retailing landscape in India is undergoing a structural shift with the reforms undertaken by the government that would help the private and foreign firms to enter this market. India is poised to become the world's largest growth market for energy by the mid-2020s. IoT has become an integral digital technology for the fuel retailers in the retail oil outlet (ROO) ecosystem. The purpose of this paper is to develop an Internet of Things (IoT) business model for the Indian oil marketing companies (OMCs') ROOs.

Using literature review along with a survey among 660 respondents led to 402 valid observations, and the variables that contributed to IoT adoption at the OMCs' ROOs were identified. Using the BMC tool (Osterwalder and Pigneur, 2009), the relative importance of the variables within each building block was established. The means of all the variables were measured against the average of all the variables, and significant differences were searched for in each block. The notable differences of the means along with significant high and low means were highlighted.

This paper depicts empirical research that led to a framework of an IoT business model for Indian public sector ROOs. It also represents the usefulness of the Technology-Organization-Environment framework at the OMCs ROOs and extends the literature by incorporating “data security” to the existent framework of technology, organization and environment within the IoT ecosystem.

The outcome of the research should be analysed in the Indian context as all the respondents were from India. The study was conducted for the ROOs of Indian Oil Corporation Limited, Hindustan Petroleum Corporation Limited and Bharat Petroleum Corporation Limited and excluded their downstream operations. The dispensers in the OMCs vary along with their marketing strategies in the retail segments. The IoT business model can be customized for a particular OMC, which is scope of further research.

The study has practical implications for those global fuel retailers embarking on the IoT adoption drive at their ROOs about the need to install “data security” measures in the connected IoT environment. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.

The new emerging technological business models provide competitive edge to those organizations adopting them (Barney, 1991; Clemons and Row, 1991; Feeny and Ives, 1990). The study will enable the OMCs to implement the IoT business model at their ROOs for enhancing their revenue streams and profitability and lowering of operating costs. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.

The contribution of the paper is that it is among the first to map the variables that contribute to IoT adoption at the OMCs' ROOs, within the building blocks of the BMC tool (Osterwalder and Pigneur, 2009), according to their importance. To retain their dominance and have a first-mover competitive advantage, this study enables the OMCs to adopt the IoT business model and transform their ROOs into Internet-connected intelligent fuel outlets.

This research theoretically proposed and empirically validated a Customer-Based Brand Equity (CBBE) scale specifically for Medical Tourism for emerging economies including recent findings from tourism theories such as gravity model and signalling theory, but more specifically accommodating political, cultural, economic, legal and social influences.

In-depth literature reviews from tourism, medical tourism, healthcare and hospitality domains are used to propose the theoretical model. The authors have used the lavaan package in R for the empirical analysis and model verification.

The research included, tested and verified the established latent variables such as “brand awareness”, “brand association”, “perceived quality” and “loyalty”, along with new observed variables for the CBBE scale from the theoretical perspectives of this research. “Infrastructure” has emerged as a new scale construct and “culture” was found to be a moderating variable for “perceived quality” in the CBBE scale, which are novel additions to the literature.

The research contributed to scale refining, latent construct assessment, and fine-tuning of the observed variables for the mentioned theoretical gaps.

The medical tourism market across the globe lacks a consolidated, standard customer-based brand equity (CBBE) scale till the present day. The purpose of this research is to theorize a scale with probable existing dimensions and based on prior literature adding culture and infrastructure/superstructure as new components for global comparison among BRICS and SAARC nations. This empirical research initiates laying the foundation of deriving a unified scale.

Extensive literature reviews from leading academic journals, books and web information were used to theoretically propose the scale. R (an open source coding language) was used for quantitative analysis.

Culture (environment index) and infrastructure/superstructure (industry/economic index) were found to be relevant in the context of CBBE scale for medical tourism. The other dimensions are brand awareness, brand association, perceived quality and loyalty.

The research literature was fragmented because of international scopes of medical tourism destinations as well as a variety of medical services offered. The dynamic nature of this industry, which is dependent on several factors such as healthcare, cost, related services, tourism etc. made it difficult to access the real contribution of individual items.

This paper proposes the foundation to develop a CBBE scale for medical tourism in India, adding culture and infrastructure/superstructure as new dimensions. It opens doors for new research with scale refining, branding assessment and fine-tuning items for the new dimensions.

This research is the first of its kind to create a standard CBBE scale for developing countries. It has added a new set of literature and consolidated prior contextual works on culture and infrastructure in reference to medical tourism. The questionnaire is of practical value to hospitals. The interview transcript is novel in nature for future works.

In recent times, behavioural models for asset allocation have been getting more attention due to their probabilistic modelling for scenario consideration. Many investors are thinking about the trade-offs and benefits of using behavioural models over conventional mean-variance models. In this study, the authors compare asset allocations generated by the behavioural portfolio theory (BPT) developed by Shefrin and Statman (2000) against the Markowitz (1952) mean-variance theory (MVT).

The data used have been culled from BRICS countries' major index constituents from 2009 to 2019. The authors consider a single period economy and generate future probable outcomes based on historical data in order to determine BPT optimal portfolios.

This study shows that a fair number of portfolios satisfy the first entry constraint of the BPT model. BPT optimal portfolio exhibits high risk and higher returns as compared to typical Markowitz optimal portfolio.

The BRICS countries' data were used because the dynamics of the emerging markets are significantly different from the developed markets, and many investors have been considering emerging markets as their new investment avenues.

The case focuses on issues concerning infrastructure development by Jaypee Infratech Ltd. (JIL) in the context of emerging market of India. This is undertaken by employing the usage of strength weakness opportunity and threat analysis (SWOT) analysis, political, economical, sociological and technological analysis (PEST) analysis and Porter's Five Forces Model and competitor analysis. It also outlines the importance of financing model adopted with respect to Concessionaire Agreement drafted and executed towards making an infrastructure project financially viable so as to reduce the risk associated with infrastructure projects which requires huge investments and long gestation period. Further, it also highlights the importance of how future projects can be undertaken on the basis of public private partnership (PPP) model.

This case can be used as a teaching tool in the following courses: MBA/Post Graduate Program in Management in Management Accounting, Management Control Systems and Strategic Cost Management. It can be used to explain concepts of SWOT analysis and Porter's Five Forces Model analysis. Students are also introduced to the technique of financial analysis. Executive training programs for Middle- and Senior-level employees to explain the Infrastructure Financing and Concessionaire Agreement for infrastructure projects. Under-graduate/Post-graduate programs in Entrepreneurship.

JIL was established as a Special Purpose Vehicle in 2007 to execute the Yamuna Expressway project. Originally the contract was awarded to parent company Jai Prakash Associates Ltd. in 2003. The project entails financing, construction, operation, maintenance and collection of toll for 36 years and then transferring it back to Government of Uttar Pradesh of 165.5 km Yamuna Expressway, and subsequently development of 530-million square feet of area from five parcels of land earmarked along the expressway. The project highlights how a PPP infrastructure project can be made financially viable.

SWOT analysis was used to identify the strengths, weaknesses, opportunities and threats to a company. Also, application of Porter's Five Forces Model was done to analyze an industry. Determining quantitative terms like Long-Term Return on equity, Return on Capital Employed, Book Value vs Market value, Net Margins, Income Tax benefits enjoyed under section 80-IA and Minimum Alternative Tax (MAT); determining financial viability of an infrastructure project over its entire life cycle.

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The purpose of this study is to examine the buyers’ preferences influencing the purchase of privately developed affordable housing in Kolkata and to determine whether unsold houses result from misalignment with these preferences.

The literature review and user-opinion survey identified 119 independent variables that indicate buyers’ preferences. A questionnaire survey of 383 households in affordable housing units from 32 housing complexes in Kolkata recorded buyers’ preferences and satisfaction against the independent variables grouped under five levels of characteristics. The product weights of variables derived from the rank sum method and percentage satisfaction give the Utility Score. Multivariate regression and univariate linear regressions were conducted to determine the significance of each Level of characteristics and each variable, identifying the significant variables that would affect the sale of affordable houses.

The multivariate regression analysis has indicated that 68.56% of the variation in the percentage of unsold houses was explained by the five utility scores, which affirms that misalignment with buyers’ preferences significantly affects the sale of privately developed affordable houses. Furthermore, building and neighbourhood-level utility show the highest significance as predictors, while city-level and miscellaneous utility have moderate significance, but housing complex-level utility lacks statistical significance.

This study addresses a research gap in privately developed affordable housing in Kolkata, enhancing understanding of buyer preferences in this segment.

The microfinancing sector is infamous for being prone to high credit risks due to loan defaults by its poor borrowers. Conversely, the sector is also criticized for creating debt traps for the poor. The dual nature of these peculiar problems in microfinancing causes the market failure phenomenon. Therefore, the current study explores whether public policy intervention is required to address market failure.

The study undertakes a critical review of existing literature, the news, the policy documents and other publicly available information to shape the viewpoints in this study. Constructive criticism is used to build arguments to arrive at a conceptual framework that depicts how public policy should interact with markets to address the peculiar problems of the microfinancing sector.

The findings indicate that market failure in microfinancing is real and pressing. Therefore, public policy is invited, though in its limited form. While the policy intervention may help the formal microfinancing arena by regulating the interest rates, the policy administration in the informal sector is likely to fail. Therefore, the policy should attempt to create an environment of inclusiveness. Policies that rely on coercion are not recommended. In the long run, subsidies via policy intervention are discouraged. Instead, the policy should motivate the microfinancing sector to become self-reliant.

The study is one of its kind to provide perspectives on specific market failures and policy interventions in microfinancing, particularly in economies where formal and informal sectors coexist and are equally crucial.