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Journal Articles | 2018

Socio-cultural sustainability of private healthcare providers in an Indian slum setting: A bottom-of-the-pyramid perspective

Federica Angeli, Shila Teresa Ishwardat, Anand Kumar Jaiswal, and Antonio Capaldo

Sustainability

Delivery of affordable healthcare services to communities is a necessary precondition to poverty alleviation. Co-creation approaches to the development of business models in the healthcare industry proved particularly suitable for improving the health-seeking behavior of BOP patients. However, scant research was conducted to understand BOP consumers’ decision-making process leading to specific healthcare choices in slum settings, and the relative balance of socio-cultural and socio-economic factors underpinning patients’ preferences. This article adopts a mixed-method approach to investigate the determinants of BOP patients’ choice between private and public hospitals. Quantitative analysis of a database, composed of 436 patients from five hospitals in Ahmedabad, India, indicates that BOP patients visit a public hospital significantly more than top-of-the-pyramid (TOP) patients. However, no significant difference emerges between BOP and TOP patients for inpatient or outpatient treatments. Qualitative findings based on 21 interviews with BOP consumers from selected slum areas led to the development of a grounded theory model, which highlights the role of aspirational demand of BOP patients toward private healthcare providers. Overall, healthcare provider choice emerges as the outcome of a collective socio-cultural decision-making process, which often assigns preference for private healthcare services because of the higher perceived quality of private providers, while downplaying affordability concerns. Implications for healthcare providers, social entrepreneurs, and policy-makers are discussed.

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Journal Articles | 2018

Economic geography and emerging market clusters: A co-evolutionary study of local and non-local networks in Bangalore

Florian A.Täubea, Amit Karna, and Petra Sonderegger

International Business Review

The presence of network ties within location plays a significant role in organization and evolution of clusters. This has proven to be particularly true for clusters specializing in knowledge intensive industries, where the organization of resources – people and technology – has been a primary driver for firm and regional performance. With the help of a longitudinal case study of the Bangalore IT cluster in India, we investigate the effect of local and non-local network ties on its evolution. We argue that networks – both local and non-local – play an important role in the development of cluster. We propose a non-linear relationship between cluster evolution phases and the type of network ties most prominent. Our study also outlines the role that embeddingexpansion, and extension of ties plays in transitioning cluster from one phase to the other. The consideration of non-local ties is rather nascent in the cluster literature and promises to enhance the understanding of how clusters develop at both levels – policy as well as firm.

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Journal Articles | 2018

An empirical study of Latitude of Quantity Acceptance (LQA) in an emerging economy: India

Gordhan Saini, Arvind Sahay, and Gurumurthy Kalyanaram

Journal of Global Marketing

This study examines three important research questions. First, is there a latitude of acceptance with respect to small quantity changes? Second, is there an asymmetric effect of quantity changes? Third, is there a differential effect between high-equity and low-equity brands in response to quantity changes which is acceptable to customers? The effect of quantity change on purchase intention was examined through the decrease (increase) in original quantity of high-equity brands (low-equity brands), keeping price constant. ANOVA and ANCOVA were used to estimate the main and interaction effects. Empirical results show that: (a) there is evidence for LQA; (b) the effect of quantity change is asymmetric; and (c) the LQA range is larger for low-equity brands. A lower range of LQA for high-equity brands limits quantity reduction choice as a firm strategy and lowering price by a small percentage is unlikely to be successful for a low-equity brand.

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Journal Articles | 2018

Asset liability management model with decision support systems for life insurance companies: Computational results

Goutam Dutta, Harish V.Rao, Sankarshan Basu, and Manoj Kr.Tiwari

Computers & Industrial Engineering

Big Data Analytics is an important and flexible tool available for data analysis and informed decision making. In this paper, we look at the use of Big Data Analytics in asset liability management and asset allocation in uncertain economic situations using stochastic linear programming (SLP). In particular, this paper is an extension of our earlier work and we contribute to the existing literature by conducting experiments on the stochastic model through DSS. In particular, for this SLP based DSS, we address issues like the optimal number of scenarios required for good results, and the impact of the change in the number of scenarios on the stability of the model. The paper also addresses the impact of the change in the number of scenarios on the policy holders’ as well as shareholders’ reserves. In particular, we show the relevance of employing a larger number of scenarios and also present the experimental design developed to test the relevance of this model. We also show that a stochastic model employing fewer scenarios produced marked improvements in both return side measures as well as risk side measures compared to a mean value model or a partial mean value model.

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Journal Articles | 2018

New decision support system for strategic planning in process industries: Computational results

Goutam Dutta, Narain Gupta, Jasashwi Mandal, and Manoj Kr.Tiwari

Computers & Industrial Engineering

The impact of a Stochastic Linear Programming (SLP) based Decision Support System in a manufacturing company, such as an integrated aluminum plant, is measured by two important parameters, the VSS and EVPI. With the real data of an integrated steel plant in India, we demonstrate that SLP based DSS can be very effective in managing demand uncertainty and performing futuristic integrated planning, and their financial impact can be in millions of dollars. A two stage stochastic programming model with recourse is implemented in the DSS here. A set of experiments is conducted. Real data from an aluminum company is used to validate the system. The importance of SLP based DSS can be realized from the fact that the value of the stochastic solution (VSS) is USD 3.58 million with 30% demand variability and equally likely demand distribution. The VSS as a percentage of Expectation of Expected Value (EEV) ranges from 0.90% to 18.93% across experiments.

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Journal Articles | 2018

New asset liability management model with decision support system for life insurance companies: interface design issues for database and mathematical models

Goutam Dutta, Harish V. Rao, and Sankarshan Basu

International Journal of Revenue Management

We introduce a new asset liability management (ALM) model based on decision support system (DSS) for a life insurance firm. The DSS is based on multi-stage stochastic linear programming (SLP) with recourse for strategic planning. The model can be used with minimal knowledge of management sciences. The model maximises the expected value of total reserve (policy holders' reserve and shareholders' reserve) at the end of the time period of planning with constraints both on the asset and the liability side of the firm's balance sheet. We discuss issues related to DSS interface design, one to one correspondences between the SLP model and the database and the difficulty in multi stage DSS compared to two stage DSS. We also compare and contrast the similarities and differences with our earlier work on SLP based DSS for process industries.

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Journal Articles | 2018

Promoting health in rural India: Enhancing job performance of health activists

Jatin Pandey, Manjari Singh, Biju Varkkey, and Dileep Mavalankar

Academy of Management Proceedings

The health of people in a nation is a potential indicator of its development. Over and above that, the job performance of people involved in the delivery and facilitation of health care services within a nation reflects the actual health conditions in it. In developing countries, where a large chunk of the population lives in rural areas, the job performance of grass-roots health care workers gains significant importance in order to ensure effective and efficient delivery of health care services to the masses and marginalized communities. The present study takes the case of Accredited Social Health Activists (ASHAs) in difficult rural areas of India to identify factors that affect their job performance and suggests interventions through which it could be enhanced. Fifty-five ASHAs were interviewed and five focused group discussions (FGDs) were conducted. Additionally, triangulation was done by interviewing other stakeholders, while studying relevant documents. Through content analysis of these interviews and documents, this study identifies the demands, resources and stressors that affect the job performance of these important intermediaries in the health care supply chain (in the Indian context). The study also suggests policy-level decisions that could help in enhancing job performance of ASHAs by managing demands, increasing resources and reducing stressors.

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Journal Articles | 2018

Emotional labour of rural women in difficult geographies of an emerging economy: Narratives of community healthcare workers of India

Jatin Pandey, Manjari Singh, and Shrihari Suresh Sohani

International Journal of Work Organisation and Emotion

This study attempts to find the existence, execution and outcome of emotional labour in the work of community healthcare workers. Through a ten-month field study comprising in-depth interviews with 26 accredited social health workers (ASHAs), we found that their work requires emotional labour. Our study shows that they use 'attached approach', which is similar to deep acting, and 'detached approach', which is similar to surface acting, to perform emotional labour. We also found that surface acting resulted in minimal negative effect in case of negative situation and in well-being due to attenuation of work benefits in case of positive situation at the workplace. Deep acting in a positive situation led to emotional permeability between work and personal life, whereas in the event of a negative situation, it led to stress. Furthermore, deep acting decreases their effectiveness and efficiency due to associated stress that could have detrimental effects on the beneficiaries of healthcare.

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Journal Articles | 2018

Are you a cistern or a channel? Exploring factors triggering knowledge-hiding behaviour at the workplace: Evidence from the Indian R&D professionals

Jatinder Kumar Jha and Biju Varkkey

Journal of Knowledge Management

Purpose

Knowledge is considered as a strategic asset for the organizations, especially for knowledgeintensive firms. Research and development (R&D) is a significant unit in organizations, as it is devoted to knowledge creation and transfer. The success of any R&D project in an organization depends on its innovative value and the transfer of knowledge to the employees. This study aims to focus on factors triggering knowledge-hiding behavior among R&D employees, thus disrupting the knowledge creation in the organization.

Design/methodology/approach

The grounded theory approach has been used to analyze qualitative data collected from 19 in-depth interviews of R&D professionals (middle and junior level) working in Indian pharmaceutical firms.

Findings

The study identified factors that triggered knowledge-hiding behavior among employees. These factors include distrust, competitive work environment, perceived career insecurity, lack of recognition, lack of reciprocation and lack of confidence in own knowledge. In addition, four hiding strategies used by employees to hide their knowledge from their fellow members were explored and identified: playing innocent, being misleader/evasive hiding, rationalized hiding and counterquestioning.

Research limitations/implications 

Besides improving the understanding of knowledge-hiding behavior, particularly in the Indian context, this study has implications for both managerial practices and organizational policies.

Originality/value 

This paper highlights the factors influencing knowledge-hiding behavior among R&D employees. Knowledge-hiding construct has not been adequately studied; however, it prevails in the organization and has potential to influence various individual- and organizational-level outcomes. In addition, ways of hiding knowledge used by employees were identified and new forms of strategies named “counter-questioning” were found.

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Journal Articles | 2018

Team emotion diversity and performance: The moderating role of social class homogeneity

Jiping Li, Anran Li, Prithviraj Chattopadhyay, Elizabeth George, and Vishal Gupta

Group Dynamics: Theory, Research, and Practice

This article examines a particular village—Kunkeri—in Konkan, Maharashtra, characterized by persistent mass outmigration for over five decades, by combining a field study in 2017 with detailed ethnographic and statistical baseline data collected by the Census of India in 1961 and 1987. It documents the increase in outmigration rates, catch-up in outmigration intensities by the lowest castes to those of the upper castes, diversification of household migration strategies and outmigrants’ occupations, the lessening of single-male migration strategies, the presence of a diasporic association and the growing significance of commuting and migration for education. Yet, despite mass outmigration and a general rise in the standard of living across castes, we observe strong continuity in the distribution of castes and land ownership structures within Kunkeri. These findings point to both the transformative and status-quo preserving features of persistent mass migration from rural India.

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IIMA