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Journal Articles | 2020

Relationships between leadership, motivation and employee-level innovation: evidence from India

Vishal Gupta

Personnel Review

Purpose

Integrating the behavioral theory of leadership, the componential theory of creativity and the self-determination theory (SDT), the study tests the relationships between leadership, work motivation (intrinsic motivation, integrated extrinsic motivation, extrinsic motivation) and employee-level innovation (innovative work behavior and innovation outcomes) in a work setting.

Design/methodology/approach

Data were collected using a survey questionnaire from 493 scientists working in India's largest civilian research and development (R&D) organization. The structural equation modeling (SEM) method was used to test the hypothesized relationships between the study variables.

Findings

The study found evidence for positive relationships between leadership, employee autonomous motivation (intrinsic and integrated extrinsic motivation) and employee-level innovation. The study shows that extrinsic motivation is positively related to innovation only when the value of rewards is integrated to one's sense of self (integrated extrinsic motivation). Extrinsic motivation, otherwise, is not related to innovation.

Research limitations

The study was cross-sectional, so inferences about causality are limited.

Practical implications

First, while extrinsic motivation is considered bad for innovation, the study provides evidence that integrated extrinsic motivation complements intrinsic motivation and encourages employee-level innovation. Second, the study shows that leaders can aid the process of development of autonomous motivation by displaying positive behaviors. Third, the study validates the mediating role of autonomous motivation for the leadership–innovation relationship.

Originality/value

The study provides an insight into the underlying process through which leaders can impact innovation at the workplace. To the best of the author's knowledge, such a study is the first of its kind undertaken in an organizational context.

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Journal Articles | 2020

Construction, validation and generalization of SERVSTRESS: a measure for service induced customer stress

Subhadip Roy and Varsha Jain

European Journal of Marketing

Purpose

The purpose of this study is to construct and validate a generalizable scale to measure service induced perceived stress for customers of personal services with a high level of intangibles having both online and offline components.

Design/methodology/approach

Five studies were conducted to this end. The first was qualitative and the rest were quantitative (survey) with a total sample size of 1,300. The last study was conducted in a different country than the first four.

Findings

The studies resulted in a five-dimensional SERVSTRESS scale to measure service induced stress for customers with the following dimensions, namely, psychological stress; information stress; complexity stress; personnel stress and outcome stress. The scale was tested in a nomological network.

Research limitations/implications

The present study addresses a hitherto unaddressed gap in marketing literature with the construction and validation of a scale to measure service stress of a customer (named SERVSTRESS) using data from five studies spanning two countries.

Practical implications

The SERVSTRESS scale is relevant for the practitioners as it adds more value beyond the traditional service quality measures and allows the marketer to understand the nature of the stressors (with a specific focus on which is going right and which is going wrong) in the service delivery and allow him/her to take remedial actions.

Originality/value

The originality of the study is in the creation of a new scale to measure personal service stress and uncovering its underlying dimensions.

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Journal Articles | 2020

Identifying the drivers of luxury brand sales in emerging markets: An exploratory study

Sourav Borah, Amalesh Sharma, Mauli Soni, and Alok R Sahoo

Journal of Business Research

Luxury brands across the globe have made inroads into emerging markets (EM). While some brands have succeeded in one EM, they have failed to replicate their success in others. We investigate the drivers of luxury brand sales in EM using a multi-method approach. First, through a qualitative study, we identify which market characteristics of EM (market heterogeneity, competition from unbranded products, socio-political governance, and resources and infrastructure) affect luxury brand sales, with a firm’s marketing effort and a market’s financial freedom being important contingencies. Second, we empirically test the insights using data from 88 luxury brands and robust econometric analyses. Our results show that market characteristics influence luxury sales and that the effects of such market characteristics on luxury brand sales are heterogeneous. We also find significant moderating effects of marketing efforts and financial freedom. Our study thus extends the literature on the marketing of luxury brands and EM.

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Journal Articles | 2020

Reverse endowment effect for a new product

A.Banerji and Jeevant Rampal

American Journal of Agricultural Economics

This article reports and provides an explanation for a discrepancy between two theoretically equivalent, frequently used, and incentive-compatible methods of measuring premia for improved novel products: the full-bidding and endow-and-upgrade methods. We found the following reverse endowment effect in a willingness-to-pay (WTP) elicitation Becker-DeGroot-Marschak (BDM) experiment for the newly developed biofortified high iron pearl millet (HIPM) conducted in rural India. The WTP for exchanging local pearl millet (LPM) for HIPM (the endow-and-upgrade measure of premium for HIPM over LPM), was significantly greater than the difference between the WTPs for HIPM and LPM (the theoretically equivalent full-bidding measure). Our explanation is that subjects who possess an existing version of a product experience a reversal of loss aversion with respect to the novel and improved version of the product. We identify and structurally estimate the reverse loss aversion parameter. Our findings caution against using endow-and-upgrade and full-bidding methods interchangeably for measuring premia for new products, even if the experimental design accounts for reciprocity and experimental-income effect.

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Journal Articles | 2020

The Law of Restitution for unjust enrichment in India

M P Ram Mohan and Mridul Godha

Lloyd’s Maritime and Commercial Law Quarterly

The law of restitution for unjust enrichment is among the most debated private law topics today. It has been invoked to justify the right to restitution in cases which fall outside the scope of contract law. Despite being well developed in many common law countries, and a part of this area of law being codified in the Indian Contract Act 1872, ss 68–72, courts in India have applied the principle of restitution for unjust enrichment inconsistently and in conflict with codified law. This paper gives clarity on this position and proposes to fill the academic vacuum in this regard.

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Journal Articles | 2020

An exploration of public risk perception and governmental engagement of nuclear energy in India

M P Ram Mohan and Sreenath K Namboodhiry

Journal of Public Affairs

Public acceptance constitutes an important factor in successfully establishing and operating nuclear power plants. This paper explores public attitudes to the Kudankulam Nuclear Power Project commissioned in 2013 and situated in Southern India, through assessing the role of socio-demographic factors, externalities, and social trust in determining the level of public acceptance. An exploratory survey (n = 100) was carried out in two administrative units in the vicinity of the plant. The study reveals that acceptance of the plant is positively correlated with positive externalities and trust in governmental entities, whereas negative externalities and trust in antinuclear nongovernmental organizations and media are associated with negative public perception. The results show that governmental policies on nuclear power must support the effects of positive externalities and reduce the effects of negative externalities.

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Journal Articles | 2020

Social connections and tertiary health-care utilization

Tarun Jain and Sisir Debnath

Health Economics

The use of tertiary health care by socially proximate peers helps individuals learn about program and treatment procedures, signals that using such care is socially appropriate, and could support the use of formal health care, all of which could increase program utilization. Using complete administrative claims data from a publicly financed tertiary care program in India, we estimate that the elasticity of first-time claims with respect to claims by members of caste groups within the village is 0.046, with smaller effects of more socially distant individuals. The point elasticity of inpatient care expenditure with respect to claims filed by the same group in village peers in the previous quarter is Image removed.0.035. We find support for an information channel as peers increase awareness of the program and its features. Our findings have implications for the development of network-based models to determine health-care demand, as well as in use of network-based targeting to boost tertiary health-care utilization.

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Journal Articles | 2020

A constrained agglomerative clustering approach for unipartite and bipartite networks with application to credit networks

Samrat Gupta and Pradeep Kumar

Information Sciences

Researchers and practitioners have been interested in solving real-world problems through clustering. The clustering of nodes in networks with unipartite or bipartite structure is important to explore real-world complex networks present in nature and society. Bipartite networks form an important class of complex networks because they reveal the heterogeneity of nodes in a network. However, most extant clustering methods focus only on unipartite networks. In this work, a novel constrained agglomerative clustering method applicable to unipartite and bipartite networks has been proposed. Initially, the topology of a network is modeled according to set-theoretic principles. Subsequently, the concepts related to rough set theory and relative linkage are used to cluster the set of nodes. The utility and effectiveness of the proposed approach are demonstrated through offline experiments on unipartite and bipartite networks. A comparison against ten state-of-the-art similarity measures over two different partitional clustering algorithms reveals the effectiveness of the proposed relative linkage measure. Moreover, a comparative analysis with state-of-the-art network clustering methods reveals the viability of the proposed rough set-based constrained agglomerative clustering algorithm. Finally, the proposed method has been applied for the detection of cohesive subgroups of banks in a real bipartite network formed by mapping credit relationships between Indian firms and banks.

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Journal Articles | 2020

Breaking “bad” links: Impact of Companies Act 2013 on the Indian corporate network

Mayank Aggarwal, Anindya Chakrabarti, and Pritha Dev

Social Networks

Journal Articles | 2020

Geographical dissimilarity and team member influence: Do emotions experienced in the initial team meeting matter

Vishal Gupta, Prithviraj Chattopadhyay, and Elizabeth George

Academy of Management Journal

It is both important and challenging to gain influence within geographically diverse teams. We argue that the emotions team members experience in their initial team meetings moderate the effect of geographical dissimilarity on their perceived influence on team decisions over time. Specifically, we contrast social identity theory–based arguments that geographical dissimilarity negatively influences perceived influence with self-categorization theory–based arguments that there is a positive relationship between geographical dissimilarity and perceived influence. We argue that the emotions team members experience in their initial meeting determine which of these relationships eventuate over time. Across two studies, our data support our arguments. We find that for individuals experiencing pleasant high-activation emotions, their geographic dissimilarity was more positively related with perceived influence in the initial stage of a project; for those experiencing unpleasant low-activation emotions, their geographic dissimilarity was positively related with perceived influence in the later stage; for those experiencing unpleasant high-activation emotions, their geographic dissimilarity was initially positively and later negatively related with perceived influence.

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