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3721 items in total found

Journal Articles | 2022

The impact of social reputation features in innovation tournaments: Evidence from a natural experiment

Swanand J. Deodhar and Samrat Gupta

Information Systems Research

This study examines how a change in an online reputation system, specifically the addition of a social reputation feature, affects contestant performance in innovation tournaments. Drawing from the literature on peer recognition and social evaluation anxiety, we project competing effects whereby the feature could either enhance or diminish contestant performance. Furthermore, we hypothesize a series of contingent effects involving the soft reserve, a competitive dynamic that unfolds in tournaments, and a determinant of performance in its own right. Specifically, we hypothesize that the direct influence of the social reputation feature on contestant performance would be predicated on the level of two types of soft reserves in an innovation tournament: that created by the focal contestant and that created by competitors. We test these hypotheses leveraging a natural experiment, where an innovation tournament platform (Kaggle.com) introduced a social reputation feature, allowing contestants to follow other contestants unilaterally. Estimates obtained using a panel data set bracketed within a narrow time window (15 days) around the feature launch reveal that the feature significantly improves the performance. We further report that the two types of soft reserves significantly moderate the positive effect of the social reputation feature on contestant performance, whereby the higher the soft reserve, the weaker the effect of the social reputation feature on contestant performance. These findings have several theoretical and practical implications for managing innovation tournaments.

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Journal Articles | 2022

How Do MNEs and Domestic Firms Respond Locally to a Global Demand Shock? Evidence from a Pandemic

Arzi Adbi, Chirantan Chatterjee, and Anant Mishra

Management Science

Global shocks bring unanticipated changes in the business environment of foreign multinational enterprises (MNEs) and rival domestic firms. We examine whether there is a difference between how MNEs and domestic firms react in heterogeneous local or subnational markets to a global demand shock. Leveraging the 2009–2010 H1N1 influenza pandemic as a source of exogenous variation in global demand for influenza vaccines, we investigate the role of subnational heterogeneity in economic resources, industry infrastructure, and political alignment within an emerging economy on the behavior of incumbent MNEs and rival domestic firms. We find that following the pandemic, MNE market share in the influenza vaccine market relative to the noninfluenza vaccine markets declines more in regions with lower government health spending per capita and also, in regions unaligned with the federal government. Additional analyses suggest that these changes in market share are not caused by a reduction in MNE revenues. Rather, they are caused by domestic firms that were already present in noninfluenza vaccine markets diversifying by entering the highly related influenza vaccine market. Finally, a granular examination of the differential responses reveals that such responses are not related to preshock differences in regional coverage of MNEs and domestic firms. This study contributes to the extant literature by suggesting that the direct costs or opportunity costs of new market and region entry are relatively greater for MNEs than for domestic firms, particularly in regions that have inadequate health infrastructure and are politically not aligned.

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Journal Articles | 2022

Women directors in corporate India, c. 1920–2019

Chinmay Tumbe

Business History

This paper provides a historical background of women’s representation on Indian corporate boards. It studies directory lists for benchmark years of the past century and other sources, to ascertain the trends and challenges over time. Women directors comprised less than 1% of all directors in the 200 leading firms of India until the 1990s, after which the share rose to 2% by 2000 and 5% in 2010. Due to a regulatory push in 2013, women’s representation on the boards of listed firms rose above 16% in 2019. The sharp reduction in board interlocks over time and the rise of public sector units, especially in banking, are some of the factors highlighted in bringing about more gender diversity in Indian corporate boardrooms before 2013. However, the principal mechanism through which women entered corporate boardrooms in India was through family ties, bound within specific castes and communities.

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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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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

Policy uncertainty and behavior of foreign firms in emerging economies

Amit Karna and Shamim S. Mondal Viswanath Pingali

Management Decision

Purpose – This study aims to examine how foreign and domestic firms react to policy uncertainty in an emerging economy. In addition, the study investigates if older foreign firms better adapt to policy uncertainty than newer entrants. Design/methodology/approach – The study uses pharmaceutical sales data on India’s cardiovascular segment for January 2011–May 2016. The authors use fixed fixed-effects panel data regression to measure the market reactions of foreign and domestic firms faced with policy uncertainty.

Findings – While domestic and foreign firms react similarly to anticipated policy changes, foreign firms react more adversely to policy uncertainty. Among foreign firms, early entrants respond less adversely than new entrants.

Research limitations/implications – Foreign firms are able to cope with anticipated policy changes in similar vein as the domestic firms by way of a priori reading of the host country’s regulatory landscape. The foreign firms’ response to policy uncertainty is significantly different from domestic firms. The difference between the market response of foreign and domestic firms decreases over time.

Practical implications – The authors’ findings demonstrate that adaptability is the key for new foreign firms to face policy uncertainty. Foreign firms can respond to policy changes, especially the unanticipated ones by imbibing local practices. Social implications – The authors’ findings suggest that enhanced policy uncertainty hurts foreign firms more adversely than domestic firms, and newer foreign firms are more hurt with policy uncertainty than the existing ones. Such uncertainty could also have unintended consequences for consumer welfare.

Originality/value – The authors’ study uses two natural experiments in the same industry within short periods of time. The comparison offers key insights on the differences in domestic and foreign firm responses to the two types of policy uncertainty.

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Journal Articles | 2022

Impostor phenomenon and identity-based microaggression among hispanic/Latinx Individuals in Science, Technology, Engineering, and Mathematics: A Qualitative Exploration

Devasmita Chakraverty

Violence and Gender

Impostor phenomenon is defined as a psychological condition when some successful people do not fully ascribe their success to ability or competence, but attribute it to luck, generosity from others, or misjudgment, thereby experiencing an internal conflict. Microaggression is defined as subtle disparaging behavior that consciously or unconsciously discriminates people based on their background, personal identity, and group membership. Both impostor phenomenon and microaggression are commonly experienced in science, technology, engineering, and mathematics (STEM) fields, especially by women and BIPOC individuals—black, indigenous, or other person of color. Hence, the connection between microaggression and impostor phenomenon among BIPOC individuals needs deeper exploration. This qualitative study examined the research question: How do Hispanic/Latinx PhD students and postdoctorates in STEM describe impostor phenomenon and microaggression based on ethnic identity? U.S.-based participants were recruited using convenience sampling and snowball sampling. Semistructured interviews were conducted with 29 participants who self-reported experiencing impostor phenomenon. Interview transcripts were coded and analyzed inductively using constant comparison to develop themes. Twenty-two of the participants (18 women) experienced microaggression during training based on their Hispanic/Latinx identity. Microaggressive comments were made by faculty members, peers, and others in academia. Microaggression and impostor phenomenon were related through “othering” or feeling like outsiders, creating a sense of (un)belonging in STEM fields.

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Journal Articles | 2022

A two-stage integer programming model considering transaction equivalence for privacy preservation

Srikumar Krishnamoorthy

Computers and Operations Research

Preserving privacy is one of the fundamental requirements of firms that share data with their business partners for building advanced data mining models. Firms often aim to protect the disclosure of sensitive knowledge or information discovered during the data mining process. In this study, we investigate the problem of Frequent Itemset Hiding (FIH) which aims to hide sensitive itemset relationships present in a transactional database. We propose a two-stage integer programming model that maximizes the proportion of unaltered transactions in the sanitized database and protects sensitive itemset relationships. The model exploits the concept of transactional equivalence and significantly reduces the size of the FIH problem. In addition, our model enables the identification of solutions with minimal side effects. We conduct an experimental evaluation on both real and synthetic databases to show that our approach is scalable and produces a sanitized database with maximum accuracy. The generated solution is also found to have lower side effects (itemset information loss) compared to other state-of-the-art methods. Our experiments on very large problem instances show problem size reductions of one to three orders of magnitude. The proposed approach is quite attractive and practically useful for solving large-scale FIH problem instances and preserving privacy in increasingly shared and big data-driven organizational environments.

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Journal Articles | 2022

Informal land leasing in rural India persists because it is credible

Yugank Goyal, Pranab Ranjan Choudhury, and Ranjan Kumar Ghosh

Land Use Policy

While insecure property rights are considered ‘perverse’ with respect to development, we examine what are the features most amenable for their persistence. Applying a Credibility Thesis framework in the context of rural land tenancy relations in India, that are largely held through private arrangements, we try to understand if there are inherent preferences to the existing informal structure of land leasing. An in-depth primary household survey across four states of India reveals that farmers rely on customary, informal mode of leasing arrangements because of their functionality in terms of no paperwork, easy accessibility, swifter modes of payment and prompt conflict resolution. Informality makes the existing institutional arrangement ‘credible’ in the eyes of both the tenants and owners. This raises the questions of whether policy prescriptions on intricate land related issues should entail appreciation of prevailing informal tenant customs, regulating them, or simply letting them be and realign agrarian support and delivery systems around this embedded informality.

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Journal Articles | 2022

Globalization, cities, and firms in twentieth-century India

Chinmay Tumbe

Business History Review

This article explores the linkages between globalization, cities, and firms in twentieth-century India. Since the interwar period in the early twentieth century, India withdrew from the global economy, reintegrating only in the 1990s. This reshaped the metropolitan hierarchy in India in specific ways, whether through international migration and creation of new supply chains before 1991 or by foreign direct investment in the final decade of the twentieth century. Firms—both Indian and multinational—had to respond to different waves of globalization and accordingly made location choices that in turn shaped the urban evolution. More broadly, this article points to the relevance of integrating urban history more closely with business history in studies of globalization.

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