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3721 items in total found

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

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

Reducing stranded assets through early action in the Indian power sector

Aman Malik, Christoph Bertram, Jacques Despres, Johannes Emmerling, Shinichiro Fujimori, Amit Garg, Elmar Kriegler, Gunnar Luderer, Ritu Mathur, Mark Roelfsema, Swapnil Shekhar, Saritha Vishwanathan, and Zoi Vrontisi

Environmental Research Letters

Cost-effective achievement of the Paris Agreement's long-term goals requires the unanimous phase-out of coal power generation by mid-century. However, continued investments in coal power plants will make this transition difficult. India is one of the major countries with significant under construction and planned increase in coal power capacity. To ascertain the likelihood and consequences of the continued expansion of coal power for India's future mitigation options, we use harmonised scenario results from national and global models along with projections from various government reports. Both these approaches estimate that coal capacity is expected to increase until 2030, along with rapid developments in wind and solar power. However, coal capacity stranding of the order of 133–237 GW needs to occur after 2030 if India were to pursue an ambitious climate policy in line with a well-below 2 °C target. Earlier policy strengthening starting after 2020 can reduce stranded assets (14–159 GW) but brings with it political economy and renewable expansion challenges. We conclude that a policy limiting coal plants to those under construction combined with higher solar targets could be politically feasible, prevent significant stranded capacity, and allow higher mitigation ambition in the future.

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Journal Articles | 2020

Why does technology integration fail? Teacher beliefs and content developer assumptions in an Indian initiative

Vijaya Sherry Chand, Ketan Satish Deshmukh, and Anurag Shukla

Educational Technology Research and Development

This paper explores technology integration and the role of teacher beliefs in this integration to assess a ‘smart-class’ initiative that was introduced in 3173 Grade 7–8 classrooms of 1609 public schools in India in 2017. It first reports on the impact of the initiative at the end of its first year, using a sample of 2574 children drawn from 155 project schools and 155 non-project schools. A two-level multivariate analysis did not indicate any significant effect of the project on student subject knowledge, attitude towards subject and subject self-efficacy beliefs. A follow-up interpretive study that used the open-ended responses of 170 project teachers and four in-depth case studies revealed that the e-content supplied supported some traditional beliefs of teachers while challenging others; the latter, however, led to resistance that hindered learning processes. Thus, both support and challenge seem to have led to a reproduction of the traditional classroom, resulting in no significant differences in outcomes between project and non-project classrooms. The paper calls for greater awareness among content developers of how their beliefs can subvert technology integration, and for supportive professional development of teachers that will help them incorporate technology in their pedagogical practice.

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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

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

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

Financial misconduct, fear of prosecution and bank lending

Abhiman Das, Avijit Bansal, and Saibal Ghosh

Economic and Political Weekly

The issue and relevance of financial misconduct and fear of prosecution on the lending behaviour of Indian banks is investigated by combining bank-level financial and prudential variables during 2008–18 with a unique hand-collected data set on financial misconduct and fear of prosecution. The findings indicate that, in the presence of financial misconduct, state-owned banks typically cut back on credit creation and instead increase their quantum of risk-free investment. In terms of magnitude, a 10% increase in financial misconduct lowers lending by 0.2% along with a roughly commensurate increase in investment. In terms of the channels, it is found that private banks increase provisioning to maintain their credit growth, although the evidence for state-owned banks is less persuasive.

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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

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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IIMA