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Khanna, Tarun

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Khanna

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Tarun

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Khanna, Tarun

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Now showing 1 - 9 of 9
  • Publication
    Do Managers Matter? A Natural Experiment from 42 R&D Labs in India
    (Oxford University Press (OUP), 2020-03) Choudhury, Prithwiraj; Khanna, Tarun; Makridis, Christos A
    We exploit plausibly exogenous variation in the staggered entry of new managers into India’s 42 public R&D labs between 1994 and 2006 to study how alignment between the CEO and middle-level managers affect research productivity. We show that the introduction of new lab managers aligned with the national R&D reforms raised patenting and multinational licensing revenues by 58% and 75%, respectively, and scientist research productivity, including a 16%, 10%, 11%, and 22% increase in h-indices, number of coauthors, publications, and citations per scientist, respectively. Using natural language processing (NLP) techniques on the set of research abstracts produced among these scientists, we also find that overall mood and sentiment increased by 8.5% following the first managerial change.
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    Firm-Induced Migration Paths and Strategic Human-Capital Outcomes
    (Institute for Operations Research and the Management Sciences (INFORMS), 2023-01) Choudhury, Prithwiraj; Khanna, Tarun; Sevcenko, Victoria
    Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We conceptualize the firm-induced migration path, consisting of the relocated workers’ place of origin and destination, as relevant in determining worker performance and turnover postrelocation. Using a unique data set from a large Indian technology firm that hires talent from both large cities and smaller towns, we document robust econometric patterns by exploiting the firm’s randomized assignment of workers to production centers across the country. These production centers are located in the largest technology cluster in India (Bangalore), smaller technology clusters, and noncluster locations. We find that the firm-induced migration path shapes both worker performance and turnover. Compared with workers from large cities, workers from smaller towns achieve higher performance when relocated to Bangalore than to other production centers, but are also more likely to join competing firms. Fine-grained data on employment and human-capital-augmentation opportunities at workers’ destination locations, and on socioeconomic conditions in workers’ places of origin, help us rule in an abductive explanation: across firm-induced migration paths, differences in external labor-market opportunities between workers’ places of origin and their destinations, as well as intrafirm skill-development opportunities at the destination, are related to heterogeneous human-capital outcomes. Supplemental Material: The e-companion and data files are available at https://doi.org/10.1287/mnsc.2022.4361.
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    Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India
    (JMIR Publications Inc., 2018) Balsari, Satchit; Fortenko, Alexander; Blaya, Joaquin Andres; Gropper, Adrian; Jayaram, Malavika; Matthan, Rahul; Sahasranam, Ram; Shankar, Mark; Sarbadhikari, Suptendra N; Bierer, Barbara; Mandl, Kenneth; Mehendale, Sanjay; Khanna, Tarun
    In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to effectively scale services, monitor quality, and ensure accountability. While India has seen great strides in informational technology development and outsourcing, cellular phone penetration, cloud computing, and financial technology, the digital health ecosystem is in its nascent stages and has been waiting for a catalyst to seed the system. This National Health Protection Scheme is expected to provide just this impetus for widespread adoption. However, health data in India are mostly not digitized. In the few instances that they are, the data are not standardized, not interoperable, and not readily accessible to clinicians, researchers, or policymakers. While such barriers to easy health information exchange are hardly unique to India, the greenfield nature of India’s digital health infrastructure presents an excellent opportunity to avoid the pitfalls of complex, restrictive, digital health systems that have evolved elsewhere. We propose here a federated, patient-centric, application programming interface (API)–enabled health information ecosystem that leverages India’s near-universal mobile phone penetration, universal availability of unique ID systems, and evolving privacy and data protection laws. It builds on global best practices and promotes the adoption of human-centered design principles, data minimization, and open standard APIs. The recommendations are the result of 18 months of deliberations with multiple stakeholders in India and the United States, including from academia, industry, and government.
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    Disclosure Practices of Foreign Companies Interacting with U.S. Markets
    (2004) Khanna, Tarun; Palepu, Krishna; Srinivasan, Suraj
    We analyze the disclosure practices of companies as a function of their interaction with the U.S. markets for a group of 794 firms from 24 countries in Asia-Pacific and Europe. Our analysis uses the Transparency and Disclosure scores developed recently by Standard & Poor's. These scores rate the disclosure of companies from around the world using U.S. disclosure practices as an implicit benchmark. Results show a positive association between these disclosure scores and a variety of market interaction measures, including US Listing, US investment flows, export to and operations in the US. Trade with US, however, has an insignificant relationship with the disclosure scores. Our empirical analysis controls for the previously documented association between disclosure and firm size, performance, and country legal origin. Our results are broadly consistent with the hypothesis that cross-border economic interactions are associated with similarities in disclosure and governance practices.
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    Overcoming Institutional Voids: A Reputation-Based View of Long Run Survival
    (2017-01-18) Gao, Cheng; Zuzul, Tiona; Jones, Geoffrey; Khanna, Tarun
    Emerging markets are characterized by underdeveloped institutions and frequent environmental shifts. Yet they also contain many firms that have survived over generations. How are firms in weak institutional environments able to persist over time? Motivated by 69 interviews with leaders of emerging market firms with histories spanning generations, we combine induction and deduction to propose reputation as a meta-resource that allows firms to activate their conventional resources. We conceptualize reputation as consisting of prominence, perceived quality, and resilience, and develop a process model that illustrates the mechanisms that allow reputation to facilitate survival in ways that persist over time. Building on research in strategy and business history, we thus shed light on an underappreciated strategic construct (reputation) in an under-theorized setting (emerging markets) over an unusual period (the historical long run).
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    Social and Spatial Clustering of People at Humanity’s Largest Gathering
    (Public Library of Science, 2016) Barnett, Ian; Khanna, Tarun; Onnela, Jukka-Pekka
    Macroscopic behavior of scientific and societal systems results from the aggregation of microscopic behaviors of their constituent elements, but connecting the macroscopic with the microscopic in human behavior has traditionally been difficult. Manifestations of homophily, the notion that individuals tend to interact with others who resemble them, have been observed in many small and intermediate size settings. However, whether this behavior translates to truly macroscopic levels, and what its consequences may be, remains unknown. Here, we use call detail records (CDRs) to examine the population dynamics and manifestations of social and spatial homophily at a macroscopic level among the residents of 23 states of India at the Kumbh Mela, a 3-month-long Hindu festival. We estimate that the festival was attended by 61 million people, making it the largest gathering in the history of humanity. While we find strong overall evidence for both types of homophily for residents of different states, participants from low-representation states show considerably stronger propensity for both social and spatial homophily than those from high-representation states. These manifestations of homophily are amplified on crowded days, such as the peak day of the festival, which we estimate was attended by 25 million people. Our findings confirm that homophily, which here likely arises from social influence, permeates all scales of human behavior.
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    Charting Dynamic Trajectories: Multinational Firms in India
    (Cambridge University Press, 2014) Choudhury, Prithwiraj; Khanna, Tarun
    In this article, we provide a synthesizing framework that we call the "dynamic trajectories" framework to study the evolution of multinational enterprises (MNEs) in host countries over time. We argue that a change in the policy environment in a host country presents an MNE with two sets of interrelated decisions. First, the MNE has to decide whether to enter, exit, or stay in the host country at the onset of each policy epoch; second, conditional on the first choice, it has to decide on its local responsiveness strategy at the onset of each policy epoch. India, which experienced two policy shocks—shutting down to MNEs in 1970 and then opening up again in 1991—offers an interesting laboratory to explore the "dynamic trajectories" perspective. We collect and analyze a unique dataset of all entry and exit events for Fortune 50 and FTSE 50 firms (as of 1991) in India in the period from 1858 to 2013 and, additionally, we document detailed case studies of four MNEs (that arguably represent outliers in our sample).
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    A 'Core Periphery' Framework to Navigate Emerging Market Governments—Qualitative Evidence from a Biotechnology Multinational
    (2012) Choudhury, Prithwiraj; Geraghty, James; Khanna, Tarun
    We build on the emerging literature of influence-based models to study how multinational firms can navigate host governments. Our "core-periphery" framework posits that the actions that an MNC takes with actors in what we call the "periphery"—comprised of state, quasi-state, and civil society actors—can lead to positive or negative influence with interconnected state actors in a "core." There are two mechanisms by which this can happen: engaging the periphery may either change the information set of the core or help align incentives of multiple core actors. Engaging the periphery might be particularly relevant in settings where the institutional framework is still emerging. We build a case study of a multinational firm in the biotechnology sector to illustrate how the core-periphery framework works in multiple emerging markets across institutional differences. The analysis is based on 32 interviews conducted with the CEO and other executives of Genzyme at the corporate headquarters in Cambridge, Massachusetts, and in subsidiaries in Brazil, China, Costa Rica, France, India, and the United States.
  • Publication
    Regulatory Sandboxes: A Cure for mHealth Pilotitis?
    (JMIR Publications Inc., 2020-09-15) Bhatia, Abhishek; Matthan, Rahul; Khanna, Tarun; Balsari, Satchit
    Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered from 2 limitations: (1) the interventions commonly ignore the "law of amplification" that states that technology is most likely to succeed when it seeks to augment and not alter human behavior; and (2) end-user needs and clinical gaps are often poorly understood while designing solutions, contributing to a substantial decrease in usage, referred to as the "law of attrition" in eHealth. The COVID-19 pandemic has addressed the first of the 2 problems-technology solutions, such as telemedicine, that were struggling to find traction are now closely aligned with health-seeking behavior. The second problem (poorly designed solutions) persists, as demonstrated by a plethora of poorly designed epidemic prediction tools and digital contact-tracing apps, which were deployed at scale, around the world, with little validation. The pandemic has accelerated the Indian state's desire to build the nation's digital health ecosystem. We call for the inclusion of regulatory sandboxes, as successfully done in the fintech sector, to provide a real-world testing environment for mHealth solutions before deploying them at scale.