13 research outputs found

    Fintech and banks as complements in microentrepreneurship

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    10.1002/sej.1470Strategic Entrepreneurship Journa

    Saving for Microenterprises

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    This project investigates the role of fintech in encouraging saving for microenterprise. The article is published as open access: https://onlinelibrary.wiley.com/doi/10.1002/sej.147

    Community influence on microfinance loan defaults under crisis conditions: Evidence from Indian demonetization

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    This paper is available in Strategic Management Journal as an open access article at the following link: https://onlinelibrary.wiley.com/doi/10.1002/smj.355

    On Innovating: An interview with Gautam Ahuja

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    At the 2016 SMS Foundations Session interview with Professor Gautam Ahuja, we explored the key insights of his research trajectory, with a special focus on how organizations successfully innovate. We discussed the major ideas, theories, and results that he and his co-authors generated throughout his successful career. The interview was conducted on September 18, 2016 at the Strategic Management Society Annual Conference in Berlin, Germany. This article discusses Gautam's role in the organizations' literature, reports excerpts of the interview, and concludes with a postscript from Gautam Ahuja written for the community of organization design scholars

    Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

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    In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed
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