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Journal Articles | 2020

PhD student experiences with the impostor phenomenon in STEM

Devasmita Chakraverty

International Journal of Doctoral Studies

Aim/Purpose

This US-based study explored various facets of impostor phenomenon experienced during PhD training in science, technology, engineering, and mathematics (STEM). Specifically, the purpose of this research was to identify certain experiences that trigger this phenomenon.

Background

Competent high-achievers who do not believe in their efforts leading to accomplishments sometimes experience the impostor phenomenon. It is characterized by the notion that one has fooled others into overestimating their ability, not attributing one’s accomplishments to ability, and living with the fear of being discovered as a fraud.

Methodology

Data were collected using convenience and snowball sampling. Qualitative, semi-structured interviews from 90 PhD students were analyzed thematically.

Contribution

Study findings contribute to a less-understood area of what constitutes triggers for the impostor phenomenon among PhD students in STEM fields.

Findings

Participants described the following themes that triggered impostor phenomenon during PhD training: 1) Progress and public recognition, 2) Comparing oneself with others, 3) Developing skills: public speaking and scientific writing. 4) Application of new knowledge, and 5) Asking for help.

Recommendations for Practitioners

PhD faculty, mentors, advisers, and administrators should be cognizant of the triggers that could give rise to the impostor phenomenon among their students. Professional development activities for students could focus on earlier and more rigorous training for improving scientific communication.

Recommendation for Researchers

Future research should continue to explore if other stakeholders in academia such as postdoctoral trainees and faculty also experience similar stress due to the impostor phenomenon.

Impact on Society

Institutes of higher education should continue to focus on improving student mental health and retention rates, alleviating some of the PhD training stressors by designing interventions that improve students’ mindset and self-efficacy.

Future Research

Findings point to avenues for further research on how to support those with impostor phenomenon. Future research could explore the topic in other disciplines outside STEM and examine if long-term interventions could mitigate impostor-feelings, including the nature and length of interventions that could be helpful.

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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

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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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Journal Articles | 2020

Engagement patterns of participants in an online professional development programme: An application of mixture modelling

Ketan S. Deshmukh, Vijaya Sherry Chand, Kathan D. Shukla, and Arnab K. Laha

Proceedings Of The Annual Hawaii International Conference On System Sciences

Unhindered communication capabilities, in the form of internet, led us to believe that the difficult goal of “Education for All” is within our grasps. Recent studies have shown mixed results for learning over the internet, indicating that we are still far away from our desired goal. Online environments provide freedom to large number of learners, to learn at their own pace. Understanding the various ways in which participants engage with online content could help explain the mixed outcomes. This paper presents the results of an exploratory study on engagement patterns of 4567 elementary school teachers, in an online professional development programme. Using mixture modelling techniques, we identified five latent profiles of online engagement and seven latent classes based on off-platform activities. We present our findings followed by discussion and implications for online courses.

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