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3893 items in total found

Working Papers | 2020

Development of Utility Function for Vehicle Insurance: Comparison of Logarithmic Goal Programming Method and Conjoint Analysis Method

Sumeetha R. Natesan and Goutam Dutta

The increase in competition among the vehicle insurance sectors has increased the number of policy options available in the market. This study focuses on the development of a utility function for these policies that will aid policy holders and potential investors in comparing them based on various attributes. A comparison of various vehicle insurance policies can help the customers to compare and choose a vehicle insurance that is suitable to them. Although there are several methods for developing a utility function, in this study, we intend to develop a linear utility model for vehicle insurance policies using two approaches: Logarithmic Goal Programming Model (LGPM) and Conjoint Analysis Method (CAM). We propose to compare the similarities and differences between the results obtained from LGPM and CAM approaches, used for developing the utility function for vehicle insurance policies. We also derive a choice probability of the vehicles insurance policies available in market by developing a multinomial logit choice model. We also study the consistency indicators of the respondents. We will provide useful insights for the use both approaches as research tools.

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Working Papers | 2020

A Mathematical Programming Approach with Revenue Management in Home Loan Pricing (Revised as on 20-12-2021)

Goutam Dutta, Sumeetha R. Natesan, Deepika Thakur, and Manoj K. Tiwari

This paper enumerates the benefits of revenue management to the banks and the points to be considered while creating a revenue management and dynamic pricing model. Further it explains the differences in the application of these concepts to the financial sector as opposed to other sectors. We then delve into the method of giving home loans after identifying the major parameters that play a role in it. We formulate a dynamic pricing model for home loans for a bank. The model optimizes the net present value of money available subject to pricing limits, cash flows. It also considers the default probability as a function of interest rate. We then assume different versions of demand function. We consider when demand function is given by a straight line, an exponential function and by rectangular hyperbola. In all the three cases we have demonstrated that the dynamic pricing of home loans does yield better results than the currently used static pricing.

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Journal Articles | 2019

Community and collective organisations for sustainable agricultural development in India: Experience, challenges, and policy.

Sukhpal Singh

International Journal of Agricultual Economics

The paper reviews and examines the performance of various community and collective institutions across agricultural and allied sectors and regions to determine the factors in their performance and sustainability. These range from water users’ associations, co-operatives and self-help groups to producer companies. It examines the dynamics of their working and performance and their local level livelihood impact based on review of literature, case studies, and inferences. It dwells on the major policy and practice challenges faced by these community entities and concludes by identifying policy and practice relevant lessons for promoting such institutions for inclusive and sustainable agricultural development in India.

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Journal Articles | 2019

Quota-based affirmative action in higher education: Impact on other backward classes in India

Rakesh Basant and Gitanjali Sen

The Journal of Development Studies

While quota-based and other affirmative actions remain on the policy radar of nations faced with social inequalities, there is limited evidence informing policy choices at the national level. This paper estimates the mid-term impact of quota-based affirmative action in higher education (HE) in India implemented from 2008, which mandates that 27 per cent of seats are to be reserved for the Other Backward Classes (OBC) in public funded institutions of HE. Exploiting the differences in participation across social groups, age cohort,s and geographies with varied histories of affirmative action, our triple difference method estimates the impact of the Act by the year 2011–2012. Our results indicate that southern and northcentral states that already had quotas in place for a fairly long period of time, do not contribute much in further expansion of enrolment of OBCs; instead, the eastern region, where such a policy did not exist for long has about 0.12 points improvement in enrolment. Our estimates are robust to different specifications and the impact seems to be non-existent amongst the richest. It suggests that future policy initiatives need to be more nuanced considering regional differences in policy histories, supply of institutions, and extant rates of HE participation of the disadvantaged sections.

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Journal Articles | 2019

Service quality versus service experience: An empirical examination of the consequential effects in B2B services

Subhadip Roy, S. Sreejesh, and Sandhya Bhatia

Industrial Marketing Management

The present study investigates the role of service experience in B2B services vis-a-vis service quality. In particular, the study addresses the question: how do the relative effects of service quality versus service experience in a B2B setting influence the immediate (satisfaction and perceived value) and subsequent customer outcomes (loyalty and word of mouth)? To this end, three surveys were conducted (with a combined sample size of 626) of customers of financial consultancy services. The collected data is subjected to factor analysis and structural equation modeling to test the study hypotheses. Major findings indicate a stronger influence of service experience on satisfaction and perceived value as compared to service quality. Results also show a stronger indirect effect of service experience on loyalty and word of mouth (via satisfaction) compared to service quality. In addition, service experience was found to influence both perceived utilitarian and hedonic value derived from service while service quality was found to influence only utilitarian value. The findings underline the importance of service experience in a B2B setup.

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Journal Articles | 2019

Developing an emic scale to measure ad-evoked nostalgia in a collectivist emerging market, India

Subhadip Roy, Varsha Jain, Altaf Merchant, and John B Ford

Journal of Business Research

Although there has been recent interest in the measurement of advertising-evoked nostalgia, the dimensionality and generalizability of the related scales are restricted to the national/cultural boundaries of Western nations. In the present study, we develop an emic scale to measure ad-evoked personal nostalgia in an important emerging economy, India, refining and purifying the scale with seven separate studies (with a combined sample size of 1823). The resulting scale contains five dimensions: past imagery, physiological reactions, positive emotions, negative emotions and collective nostalgia. In the present study, we follow rigorous scale development procedures, and we also go beyond by comparing the effectiveness of our emic scale with a previous scale developed in France (etic), and subsequently we test our measure in another (culturally-congruent) market – Bangladesh. Our study emphasizes the need for culture-specific measures (emic), and we present important theoretical and managerial insights.

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Journal Articles | 2019

Celebrity endorsements in emerging markets: Align endorsers with brands or with consumers?

Subhadip Roy, Abhijit Guha, Abhijit Biswas, and Dhruv Grewal

Journal of International Business Studies

This paper investigates country-of-origin (CO) effects as they relate to celebrity endorsements. Across multiple studies in emerging markets, the authors show that consumers’ evaluations depend on the match between (1) celebrity CO and consumer CO (termed consumer CO fit), and (2) celebrity CO and brand CO (termed brand CO fit). If there is a trade-off between consumer CO fit and brand CO fit, the authors identify contingencies (e.g., ethnocentrism levels) that determine which type of CO fit leads to higher evaluations. Furthermore, the authors develop prescriptions for segmentation in emerging markets and specify when these prescriptions differ from those prescribed by prior international business research.

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Journal Articles | 2019

Is it too complex? The curious case of supply network complexity and focal firm innovation

Amalesh Sharma, Surya Pathak, Sourav Borah, and Anirban Adhikary

Journal of Operations Management

Firms have increasingly relied on their supply network for improving their innovation performance. Although the relationship between the supply network structure and innovation has been investigated, the link between supply network complexity and a firm's innovation remains unexplored. By employing transaction cost economics and the concept of a recombinatory search, we propose that the complexity dimensions (horizontal, vertical, and spatial complexity) of a supply network impact the innovation performance of a firm and that such relationships are moderated by a strategic emphasis on value creation and the influence of the firm over the supply network. With a large-scale network data of 201 firms across six industries and 20 countries, we take a robust empirical approach that accounts for endogeneity, unobserved heterogeneity and intrafirm error correlation to test our theory. We find strong support for a nonlinear relationship (with diminishing growth) between both horizontal and vertical complexity with respect to innovation performance. We find that spatial complexity is negatively related to innovation performance. Additionally, we find that a firm's strategic emphasis and its influence indeed moderates the link between the complexity dimensions and innovation performance. Based on our findings, we offer specific managerial guidance for the effective implementation of sourcing practices.

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Journal Articles | 2019

An overlapping community detection algorithm based on rough clustering of links

Samrat Gupta and Pradeep Kumar

Data and Knowledge Engineering

The growth of networks is prevalent in almost every field due to the digital transformation of consumers, business and society at large. The unfolding of community structure in such real-world complex networks is crucial since it aids in gaining strategic insights leading to informed decisions. Moreover, the co-occurrence of disjoint, overlapping and nested community patterns in such networks demands methodologically rigorous community detection algorithms so as to foster cumulative tradition in data and knowledge engineering. In this paper, we introduce an algorithm for overlapping community detection based on granular information of links and concepts of rough set theory. First, neighborhood links around each pair of nodes are utilized to form initial link subsets. Subsequently, constrained linkage upper approximation of the link subsets is computed iteratively until convergence. The upper approximation subsets obtained during each iteration are constrained and merged using the notion of mutual link reciprocity. The experimental results on ten real-world networks and comparative evaluation with state-of-the-art community detection algorithms demonstrate the effectiveness of the proposed algorithm.

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Journal Articles | 2019

Exploring the role of urban green spaces in 'smartening' cities in India

Rama Mohana R Turaga, Sandip Chakrabarti, Urmila Jha-Thakur, and Dipita Hossain

Impact Assessment and Project Appraisal

This paper explores the conceptualization of Urban Green Space (UGS) within India’s urban planning process. In doing so, the context of the Smart Cities Mission (SCM), which is a flagship programme for urban transformation in the country, is chosen. We identified four key elements of UGS planning in the literature – quantity, accessibility, multifunctionality, and connectivity. Using this as a framework for analysis, we reviewed the national SCM guidelines and plans of four cities – Gwalior, Bhagalpur, Chandigarh, and Udaipur – in depth. We find that multifunctionality does not feature in the planning of UGS, and the notable absence of a connected, strategic vision suggests the need for strategic-level planning and assessment that goes beyond the project level in India.

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