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3853 items in total found

Journal Articles | 2022

COVID-19 pandemic and debt financing by firms: Unravelling the channels

Balagopal Gopalakrishnan, Joshy Jacob, and Sanket Mohapatra

Economic Modelling

The COVID-19-induced disruptions and the consequent government responses stretched the financial resources of firms. Recent studies document an increase in debt financing by firms during the pandemic. Using firm-level data from 61 countries, we deepen the understanding of the impact of the pandemic by examining the variation in loan and bond financing attributable to COVID-19-specific factors. Indicative of heightened precautionary needs, firms with higher pandemic exposure and those located in countries with stringent lockdowns have a higher propensity to raise debt. Furthermore, firms in industries less amenable to remote working also have a higher propensity to raise debt, but face higher financing costs compared to their peers. Reflective of opportunistic investment motives, firms that hold a relatively positive outlook have a greater likelihood of raising loan financing. The findings draw attention to the role of real-side factors and managerial motives that drive debt financing during a distress episode.

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Journal Articles | 2022

Retaining the nonprofit mission: The case of social enterprise emergence in India from a traditional nonprofit

K V Gopakumar

Entrepreneurship & Regional Development

Literature examining the emergence of social enterprises from traditional non-profits has noted a shift in organizational mission, from a predominantly social mission towards a dual focus on both social and commercial goals. Less is known about how such social enterprises, which transition from traditional non-profits, retain the original non-profit social mission. The present study, employing an institutional logics perspective, identifies how a social enterprise, emerging from a traditional non-profit in India, re-conceptualized its means in diverse ways towards a common social end, preserved its core guiding principles and processes, and maintained a broad organizational vision, to seamlessly retain and continue with the original social mission. The study concludes with implications for social enterprise and institutional logics research.

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Journal Articles | 2022

Outcomes of talent identification in economically liberalized India: Does organizational justice matter?

Elaine Farndale, Promila Agarwal, and Pawan Budhwar

Journal of Business Research

Organizations in economically liberalized India face substantial challenges regarding the engagement and turnover of talent. By exploring the outcomes of the firm-level management practice of talent identification, we uncover the effects of identifying valuable employees as high potential. Adopting an organizational justice lens, we consider the social exchange consequences of talent identification for those identified either as high potential or non-high potential, examining how perceived organizational justice moderates the relationship with employee engagement/turnover intention. Based on data from 331 employees in two large organizations in India, perceptions of distributive, procedural, and interactional justice in this highly competitive labor market are found to moderate the relationship between talent identification and work engagement, while distributive justice moderates the relationship with employee turnover intention. The study identifies novel conditions under which talent identification might avoid the negative outcomes associated with an exclusive approach to talent management, commonly adopted in Indian organizations.

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Journal Articles | 2022

Effects of social information signals on user engagement: Evidence from randomized field experiments

Swanand J. Deodhar, Ayushi Tandon, Abhas Tandon, and Abhinav Tripathi

Behaviour & Information Technology

In this study, we examine the social information signal as a driver of user engagement. Specifically, we model two distinct outcomes related to user engagement: content consumption (e.g. watching a video) and content organisation (e.g. adding a video to a playlist). Given the increasingly social nature of digital platforms, we predict user engagement actions as a function of Peer and Expert social information signals. We employ a series of field experiments on a mobile e-learning application to tease out the distinction between content consumption (CC) and content organisation (CO) based on users’ responses to information signals distinguished based on the source. Our results indicate that the Peer and Expert information signals significantly affect the focal user's CC action but have no effect on their CO actions. These findings, coupled with interesting nuances from two allied field experiments on the same app, reveal the uneven effects of social information signals on both user engagement actions. To sum up, the study presents important implications for predicting user engagement in digital platforms and the social information signaling these platforms can adopt.

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Journal Articles | 2022

Impact of operational fragility on stock returns: Lessons from COVID‐19 crisis

Avijit Bansal, Balagopal Gopalakrishnan, Joshy Jacob, and Pranjal Srivastava

International Review of Finance

We examine how the market valuation of firms varies on account of their operational fragility that makes them vulnerable to the COVID-19 pandemic. Using the data on plant location that uniquely identifies the vulnerability of firms to operational disruptions, we find that firms with plants located in zones susceptible to higher infections earn significantly lower returns. For firms with high operational fragility, the marginal value of financial flexibility and operating flexibility is higher. The adverse impact of the operational fragility is lower for firms affiliated with the larger business groups. The paper identifies unique channels associated with the pandemic that impact firm value.

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Journal Articles | 2022

A cultural impostor? Native American experiences of impostor phenomenon in STEM

Devasmita Chakraverty

CBE- Life Sciences Education

Using a framework of colonization in science, technology, engineering, and mathematics (STEM), this U.S.-based study examined how seven Native American PhD students/postdoctoral scholars experienced impostor phenomenon. Participants were identified/contacted at a national conference on minorities in STEM through purposeful sampling. Surveys computed impostor phenomenon scores on a validated scale, while interviews documented how identity and culture contributed to impostor phenomenon in academia. Using a phenomenological approach, interviews were analyzed inductively using a constant comparative method. Surveys scores indicated high to intense impostor phenomenon. Interviews with the same participants further identified the following aspects of impostor phenomenon in relation to their minoritized identity: cultural differences and lack of understanding of Indigenous culture, lack of critical mass and fear of standing out, academic environment, family background and upbringing, and looks and diversity status. Developing a diverse and culturally competent STEM workforce requires a deeper understanding of what deters Native American individuals from pursuing a STEM career. They have the lowest college enrollment and retention rates compared with any race in the United States and could be vulnerable to racial bias and discrimination. Understanding impostor phenomenon through culturally relevant experiences would be crucial to broaden participation in STEM careers.

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Journal Articles | 2022

Reshaping adolescents’ gender attitudes: Evidence from a school-based experiment in India

Diva Dhar, Tarun Jain, and Seema Jayachandran

American Economic Review

This paper evaluates an intervention in India that engaged adolescent girls and boys in classroom discussions about gender equality for two years, aiming to reduce their support for societal norms that restrict women's and girls' opportunities. Using a randomized controlled trial, we find that the program made attitudes more supportive of gender equality by 0.18 standard deviations, or, equivalently, converted 16 percent of regressive attitudes. When we resurveyed study participants two years after the intervention had ended, the effects had persisted. The program also led to more gender-equal self-reported behavior, and we find weak evidence that it affected two revealed-preference measures.

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Journal Articles | 2022

Complexity in a multinational enterprise’s global supply chain and its international business performance: A bane or a boon?

Amalesh Sharma, V. Kumar, Sourav Bikash Borah, and Anirban Adhikary

Journal of International Business Studies

The literature on marketing, operations management, and strategy has investigated the impacts of a firm’s supplier network structure and complexity on its financial, environmental, and innovation performance. However, our understanding of how the global supply chain complexities of a multinational enterprise (MNE) affect its international business performance (IBP) is limited. We draw on both the business network theory and information search literature to propose that the various complexity dimensions (e.g., horizontal, vertical, and spatial) of an MNE’s global supply chain have different influences on its subsequent IBP. We argue – and empirically validate – that collaboration, a network orchestration mechanism, enables an MNE to leverage the benefits of complex relationships. Using a dataset of 185 firms taken from multiple industries over 6 years, we show how such complexities have differential effects. In multiple post hoc analyses, we demonstrate how an MNE’s marketing intensity, the interconnectedness among its supply members, and its top management team (TMT)’s international experience all have unique impacts. This study contributes to the existing literature on global supply chain complexity by demonstrating how it can influence MNEs’ IBP. Moreover, we contribute to the strategic IBP literature by outlining effective global supply chain improvement strategies.

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Journal Articles | 2022

SEntFiN 1.0: Entity-aware sentiment analysis for financial news

Ankur Sinha, Satishwar Kedas, Rishu Kumar, and Pekka Malo

Journal of the Association for Information Science and Technology

Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multiple entities are present in a news headline. In an effort to further research in this area, we make publicly available SEntFiN 1.0, a human-annotated dataset of 10,753 news headlines with entity-sentiment annotations, of which 2,847 headlines contain multiple entities, often with conflicting sentiments. We augment our dataset with a database of over 1,000 financial entities and their various representations in news media amounting to over 5,000 phrases. We propose a framework that enables the extraction of entity-relevant sentiments using a feature-based approach rather than an expression-based approach. For sentiment extraction, we utilize 12 different learning schemes utilizing lexicon-based and pretrained sentence representations and five classification approaches. Our experiments indicate that lexicon-based N-gram ensembles are above par with pretrained word embedding schemes such as GloVe. Overall, RoBERTa and finBERT (domain-specific BERT) achieve the highest average accuracy of 94.29% and F1-score of 93.27%. Further, using over 210,000 entity-sentiment predictions, we validate the economic effect of sentiments on aggregate market movements over a long duration.

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Journal Articles | 2022

Neither complements nor substitutes: Examining the case for coalignment of contract-based and relation-based alliance governance mechanisms in coopetition contexts

Rajnish Rai and Mitul Surana

Long Range Planning

Although the extant literature recognizes that the contract-based and relation-based alliance governance mechanisms (AGMs) play a significant role in the success of alliances, the nature of their interplay still remains ambiguous. In this study, we move away from the traditional debate between contract- and relation-based AGMs as substitutes versus complements. Instead, we offer the notion of “fit” or the “coalignment” as a more appropriate frame to explain the interplay between contract- and relation-based AGMs in the coopetition context. We conceptualize ‘Coalignment of Alliance Governance Mechanisms’ (CAGM) as a distinct higher-order construct and outline a methodological orientation to estimate the coalignment of the two forms of AGMs. We conduct a longitudinal study using primary data from 320 matched coopetition alliances in high-technology research-intensive sectors in India and find that the CAGM explains better the impact of governance mechanisms on value creation in coopetition alliances.

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