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      • Faculty Publications  (446)

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      • 2020
      • Article

      Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data

      By: Maryam Ghasemaghaei and Goran Calic
      In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
      Keywords: Big Data; Analytics and Data Science; Performance; Innovation and Invention
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      Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
      • Article

      Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

      By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
      Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
      Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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      Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
      • May 2020
      • Article

      Scalable Holistic Linear Regression

      By: Dimitris Bertsimas and Michael Lingzhi Li
      We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
      • November 2019
      • Supplement

      Innovation at Uber: The Launch of Express POOL

      By: Chiara Farronato, Alan MacCormack and Sarah Mehta
      This multimedia supplement accompanies the case “Innovation at Uber: the Launch of Express POOL” (case no. 619-003). Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This multimedia supplement... View Details
      Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Information Technology; Mobile and Wireless Technology; Applications and Software; Digital Platforms; Technology Industry; California; San Francisco
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      Farronato, Chiara, Alan MacCormack, and Sarah Mehta. "Innovation at Uber: The Launch of Express POOL." Harvard Business School Multimedia/Video Supplement 620-702, November 2019.
      • November 2019 (Revised January 2020)
      • Case

      Bayer Crop Science

      By: David E. Bell, Damien McLoughlin, Natalie Kindred and James Barnett
      In mid-2019, a year after German conglomerate Bayer Group closed its acquisition of U.S.-based seeds giant Monsanto, the leadership of Bayer’s Crop Science division (which absorbed Monsanto) is reflecting on the opportunities ahead. Some observers have questioned... View Details
      Keywords: Agribusiness; Research and Development; Innovation and Invention; Innovation Strategy; Mergers and Acquisitions; Consolidation; Customer Value and Value Chain; Change Management; Agriculture and Agribusiness Industry; Technology Industry; United States; Germany
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      Bell, David E., Damien McLoughlin, Natalie Kindred, and James Barnett. "Bayer Crop Science." Harvard Business School Case 520-055, November 2019. (Revised January 2020.)
      • 2019
      • Article

      Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

      By: Maryam Ghasemaghaei and Goran Calic
      Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
      Keywords: Analytics and Data Science; Innovation and Invention; Learning
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      Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
      • September 2019 (Revised August 2020)
      • Case

      Engineering an Inclusive Bioeconomy

      By: Tarun Khanna, Raffaella Sadun and Susie L. Ma
      In 2019, entrepreneur Juan Carlos Castilla-Rubio was developing a project he hoped could generate and share wealth from the natural resources of the Amazon without destroying those resources. His idea, called Earth Bank of Codes (EBC), would create a library of the... View Details
      Keywords: Decision Making; Development Economics; Entrepreneurship; Innovation and Invention; Intellectual Property; Emerging Markets; Market Design; Marketplace Matching; Science; Genetics; Natural Environment; Environmental Sustainability; Climate Change; Social Enterprise; Strategy; Strategic Planning; Information Technology; Ownership; Social Psychology; Trust; Society; Biotechnology Industry; South America; Amazon Basin
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      Khanna, Tarun, Raffaella Sadun, and Susie L. Ma. "Engineering an Inclusive Bioeconomy." Harvard Business School Case 720-356, September 2019. (Revised August 2020.)
      • Article

      Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions

      By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
      Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
      Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention
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      Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
      • August 2019 (Revised February 2020)
      • Teaching Note

      Sidewalk Labs: Privacy in a City Built from the Internet Up

      By: Leslie John and Mitch Weiss
      Email mking@hbs.edu for a courtesy copy.

      The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
      Keywords: Privacy; Privacy By Design; Privacy Regulation; Platforms; Data; Data Security; Behavioral Science; Analytics and Data Science; Safety; Entrepreneurship; Business and Government Relations; Consumer Behavior; Digital Platforms
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      John, Leslie, and Mitch Weiss. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Teaching Note 820-023, August 2019. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
      • 2019
      • Working Paper

      The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work

      By: Hila Lifshitz - Assaf and Frank Nagle
      Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as... View Details
      Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Applications and Software; Open Source Distribution; Performance Productivity
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      Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
      • 2019
      • Article

      History, Micro Data, and Endogenous Growth

      By: Ufuk Akcigit and Tom Nicholas
      The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history... View Details
      Keywords: Economic Development; Growth; Innovation; Economic Growth; History; Analytics and Data Science; Innovation and Invention
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      Akcigit, Ufuk, and Tom Nicholas. "History, Micro Data, and Endogenous Growth." Annual Review of Economics 11 (2019): 615–633.
      • July 2019
      • Article

      Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)

      By: Leslie John, Grant E. Donnelly and Christina A. Roberto
      In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
      Keywords: Policy Implementation; Food; Governing Rules, Regulations, and Reforms; Policy
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      John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
      • May 2019
      • Teaching Note

      Data Science at Target

      By: Srikant M. Datar and Caitlin N. Bowler
      Teaching Note for HBS No. 118-016. View Details
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      Datar, Srikant M., and Caitlin N. Bowler. "Data Science at Target." Harvard Business School Teaching Note 119-108, May 2019.
      • 2019
      • Article

      Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity

      By: Maryam Ghasemaghaei and Goran Calic
      Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
      Keywords: Big Data; Analytics and Data Science; Decisions; Quality
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      Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
      • 2019
      • Book

      Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

      By: Karen G. Mills
      Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
      Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
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      Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
      • March 2019
      • Case

      HOPI: Turkey's Shopping Companion

      By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
      The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
      Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey
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      Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
      • March 2019
      • Case

      Wattpad

      By: John Deighton and Leora Kornfeld
      How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
      Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
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      Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
      • 2019
      • Working Paper

      Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

      By: Thomas Bossuroy, Clara Delavallade and Vincent Pons
      Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details
      Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India
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      Bossuroy, Thomas, Clara Delavallade, and Vincent Pons. "Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India." NBER Working Paper Series, No. 26388, October 2019. (Revise and resubmit requested, Review of Economics and Statistics.)
      • 2020
      • Working Paper

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
      • February 2019 (Revised August 2019)
      • Case

      Maccabitech: The Promise of Israel's Healthcare Data

      By: Scott Duke Kominers and Carin-Isabel Knoop
      Dr. Varda Shalev bridges technology and medicine through Maccabitech, a "research and innovation wing" of Israel's Maccabi Healthcare Services (MHS) that partners with research institutions, pharmaceutical companies, and startups. Shalev hopes to scale Maccabitech's... View Details
      Keywords: Big Data; Healthcare; Analytics and Data Science; Digital Platforms; Health Care and Treatment; Innovation and Invention; Research; Entrepreneurship; Risk Management; Israel
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      Kominers, Scott Duke, and Carin-Isabel Knoop. "Maccabitech: The Promise of Israel's Healthcare Data." Harvard Business School Case 819-032, February 2019. (Revised August 2019.)
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