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This paper aims to describe how social capital is mobilized in the mediation of periurban water insecurity induced by urbanization and climate change. Investing in social capital through the process of creating mechanisms for civic engagement is an important means of building resilience of periurban communities.

This paper draws on ethnographic and action research. The main sources of data were direct observation of water appropriation and access and semi-structured interviews. Convenience, snowball and theoretical sampling were used.

The residents of periurban Gurgaon have lost access to water on account of urbanization and climate change. In this context, they mobilize social relationships to collectively improve their access to water. Norms of cooperation and kinship play an important role in the mediation of water insecurity. Creating social capital by building platforms for civic engagement helped to improve their water security.

While there has been much interest in issues of periurban water insecurity, the role of social capital in the mediation of water insecurity has received scant attention. At the same time, while scholars have been interested in the role of social capital in adapting to the impacts of climate change, it has scarcely been studied in a periurban context. This paper seeks to bridge this research gap.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

This paper aims to explore the role of spiritual leaders as celebrity business founders and brand endorsers by investigating the mediating role of perceived value in the impact of normative community pressure and perceived brand credibility on purchase intention.

The authors collected data from two studies in India, one with urban (N = 307) and another with rural (N = 206) consumers of fast moving consumer goods brands being endorsed by popular celebrity business founders. The authors tested all our hypotheses using partial least squares structural equation modeling (PLS-SEM) approach with SmartPLS software.

Perceived value mediates the positive impact of normative community pressure and perceived brand credibility on purchase intention for the brands endorsed by celebrity business founders, and these mediating effects are stronger for urban (vs rural) consumers.

The results from Indian consumers may not be generalizable to other emerging markets with diverse cultural and socio-economic conditions.

This research would help international marketers understand the unique branding and marketing strategies used by local players to learn how to successfully target both urban and rural consumers in the emerging markets.

This paper extends the celebrity endorsement literature by exploring the role of spiritual leaders as celebrity business founders and brand endorsers, a growing trend in the emerging markets with high cultural and religious diversity (e.g. India and Indonesia).

The purpose of this paper is to focus on studying the concept of “Smart Organization” and providing a comprehensive framework for the various factors as barriers for the smart organization, identifying and classifying the key criterion of these factors based on their direct and indirect relationships.

In this paper an extensive literature survey and experts’ opinion have been used to identify major barriers of smart organization. These barriers are then modeled using interpretative structural modeling (ISM) methodology. The model so developed has been further improved and an integrated model has been developed using fuzzy-MICMAC.

Various barriers of smart organization have been identified and a structural model has been developed for barriers using the ISM methodology. The critical barriers have been found out by fuzzy-MICMAC analysis. The driver power and dependence graph has been plotted for barriers. The barriers are classified into four categories which are, autonomous, linkage, dependent and independent according to their driver power and dependence. From the ISM model and the integrated model, and from further discussions with the experts, it has been found that the barriers “(B1) organizational structure” and “(B6) Managerial actions” are the two most important barriers, every other barrier is directly or indirectly driven by these.

The basis of developing the ISM model, i.e, the structural self-interaction matrix is based on experts’ opinion, therefore the result may get influenced if there is any biasing in judging the barriers. The future research scope for this paper will be to test the model generated in this paper. The testing of the model can be done by applying structural equation modeling technique, it has the capability of testing the hypothetical model. Further a framework of smart organizations can be created to find out the smartness of different organizations.

The paper can be used by organizations in understanding the barriers in becoming “smart” on the basis of their inter-relationships. This model can help manufacturing organization of North India in understanding the barriers which needs to be worked upon and the inter-relationship among these factors. This model-based study may be helpful in understanding and implementing the practices of smart organization by removing the possible critical barriers.

This is the first study to identify the barriers of smart organizations and to develop a model of these barriers using ISM and fuzzy-MICMAC.

The price war and intense competition in Indian banking industry have exposed banks to one of the major threat of switching. Consumers are now more price and service conscious in their financial services purchasing behaviour. They are more prone to change their banking behaviour as banking products and services are nearly identical in nature. The purpose of this paper is to provide an insight of the drivers that lead a customer switch from one service provider to another in Indian banking industry using exploratory design.

The impacts of the influencing factors have been studied and tested empirically using exploratory factor analysis. Quantitative data have been collected by means of questionnaire employed from Clemes et al. and administered to 296 banking customers of Rajasthan utilizing convenience sampling.

Results reported that price, reputation, responses to service failure, customer satisfaction, service quality, service products, competition, customer commitment and involuntary switching have their significant effect on customers’ switching behaviour.

The findings of present study can be used by the Indian banks for their product and service designing strategies, marketing strategies and customer services practices in order to reduce customer switching. It would help them in improving their service operations and also in increasing customer satisfaction and loyalty by understanding the banking behaviour of their customers.

The originality lies in the fact that this study is one of few which have focused on the drivers leading to the switching intentions of Indian banking customers.