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Publications

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      • Faculty Publications  (524)

      Analytics and Data ScienceRemove Analytics and Data Science →

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      • 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.
      • August 2019
      • Case

      Bark Gift Shop Ltd.

      By: Susanna Gallani, Jan Bouwens and Peter Kroos
      This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
      Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis
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      Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 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.
      • Article

      Four Things No One Will Tell You About ESG Data

      By: Sakis Kotsantonis and George Serafeim
      As the ESG finance field and the use of ESG data in investment decision-making continue to grow, the authors seek to shed light on several important aspects of ESG measurement and data. This article is intended to provide a useful guide for the rapidly rising number of... View Details
      Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Reporting; Data Analytics; Sustainability; Sustainability Reporting; CSR; Transparency; Investment Management; Socially Responsible Investing; Sustainable Finance; Sustainable Development; Inclusion; Inclusive Growth; Corporate Social Responsibility and Impact; Corporate Accountability; Investment; Management; Climate Change; Corporate Governance; Diversity; Integrated Corporate Reporting
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      Kotsantonis, Sakis, and George Serafeim. "Four Things No One Will Tell You About ESG Data." Journal of Applied Corporate Finance 31, no. 2 (Spring 2019): 50–58.
      • 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; Entertainment and Recreation 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.
      • March 2019 (Revised July 2020)
      • Case

      MoviePass: The 'Get Big Fast' Strategy

      By: Benjamin C. Esty and Daniel W. Fisher
      In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details
      Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States
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      Esty, Benjamin C., and Daniel W. Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Case 719-455, March 2019. (Revised July 2020.)
      • 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.)
      • Article

      Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

      By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
      Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
      Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
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      Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
      • January 2019 (Revised February 2024)
      • Teaching Note

      Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing

      By: Ayelet Israeli
      Teaching Note for HBS No. 519-011. As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a... View Details
      Keywords: DTC; Direct To Consumer Marketing; Health Care; Mobile; Attribution; Experimentation; Experiments; Churn/retention; Customer Lifetime Value; Internet Marketing; Big Data; Analytics; A/B Testing; CRM; Advertising; Marketing; Marketing Channels; Marketing Strategy; Media; Brands and Branding; Marketing Communications; Digital Marketing; Acquisition; Growth and Development Strategy; Customer Focus and Relationships; Consumer Behavior; Social Media; E-commerce
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      Israeli, Ayelet. "Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing." Harvard Business School Teaching Note 519-056, January 2019. (Revised February 2024.)
      • January 2019
      • Supplement

      Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis

      By: Jill Avery and Gerald Zaltman
      In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details
      Keywords: Brand Management; Market Research; Brand Positioning; Value Proposition; Consumer Products; Fast Moving Consumer Goods; Qualitative Methods; Zaltman Metaphor Elicitation Technique; ZMET; Data Analysis; Marketing; Marketing Strategy; Brands and Branding; Consumer Behavior; Marketing Communications; Analytics and Data Science; Analysis; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; United States; North America; Italy
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      Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis." Harvard Business School Supplement 519-062, January 2019.
      • January 2019
      • Case

      Data.gov (Abridged)

      By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
      This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
      Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
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      Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
      • January 2019 (Revised July 2021)
      • Case

      Analytical Space: The Next Frontier?

      By: Thomas R. Eisenmann, Jeffrey J. Bussgang and David Lane
      With one satellite aloft and in the midst of beta testing in late 2018, Analytical Space founders Justin Oliveira and Dan Nevius turned to critical questions about the pioneering startup’s go-to-market, pricing, and business development strategy. Analytical Space aimed... View Details
      Keywords: Pricing Decisions; Demand Validation; Revenue Model; Business Development; Space Tech; Satellites; Earth Observation; Remote Sensing; Business Startups; Emerging Markets; Growth and Development Strategy; Finance; Selection and Staffing; Business Strategy; Aerospace Industry
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      Eisenmann, Thomas R., Jeffrey J. Bussgang, and David Lane. "Analytical Space: The Next Frontier?" Harvard Business School Case 819-089, January 2019. (Revised July 2021.)
      • 2019
      • Article

      Big Data

      By: John A. Deighton
      Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs... View Details
      Keywords: Big Data; Digital Infrastructure; Privacy; Algorithm; Data Generators; Marketplace Icon; Analytics and Data Science; Infrastructure; Power and Influence; Society
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      Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
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