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- All HBS Web
(4,966)
- Faculty Publications (1,027)
- 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; Technology Industry; Turkey
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
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- 2019
- Working Paper
Government Technology Policy, Social Value, and National Competitiveness
By: Frank Nagle
This study seeks to better understand the impact that government technology procurement regulations have on social value and national competitiveness. To do this, it examines the impact of a change in France’s technology procurement policy that required government... View Details
Keywords: Social Value; Competitiveness; Government Administration; Information Technology; Acquisition; Policy; Value
Nagle, Frank. "Government Technology Policy, Social Value, and National Competitiveness." Harvard Business School Working Paper, No. 19-103, 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
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.)
- March 2019
- Case
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli and David Lane
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B2C; B2B Vs. B2C; Health & Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; "USA,"; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Technology Industry; Technology Industry; Technology Industry; Technology Industry; Technology Industry; Israel; United States
Israeli, Ayelet, and David Lane. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Case 519-010, March 2019.
- 2019
- Working Paper
Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys
By: Rafael Di Tella and Dani Rodrik
We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents... View Details
Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
- March 2019
- Article
Open Source Software and Firm Productivity
By: Frank Nagle
As open source software (OSS) is increasingly used as a key input by firms, understanding its impact on productivity becomes critical. This study measures the firm-level productivity impact of nonpecuniary (free) OSS and finds a positive and significant value-added... View Details
Keywords: Applications and Software; Open Source Distribution; Performance Productivity; Information Technology; Strategy
Nagle, Frank. "Open Source Software and Firm Productivity." Management Science 65, no. 3 (March 2019): 1191–1215.
- 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
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
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.)
- 2025
- Working Paper
A Preference for Revision Absent Improvement
By: Ximena Garcia-Rada, Leslie K. John, Ed O’Brien and Michael I. Norton
People regularly encounter revised stimuli (e.g., revised versions of products, new editions of
books, tweaked recipes, and technological updates). In principle, a world of constant revision
should benefit people by affording them the most up-to-date offerings. In... View Details
Keywords: Product Change; Versioning; Expectancy Effects; Heuristics; Intuitive Processing; Product Marketing; Change; Perception; Consumer Behavior
Garcia-Rada, Ximena, Leslie K. John, Ed O’Brien, and Michael I. Norton. "A Preference for Revision Absent Improvement." Harvard Business School Working Paper, No. 19-087, February 2019. (Revised April 2025.)
- 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
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
- 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
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
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- 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
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- Article
Friends or Foes? Examining Platform Owners' Entry into Complementors' Spaces
By: Feng Zhu
As platform owners continue to expand their ecosystems, many of them have started to provide consumers with their own complementary applications. These moves position the platform owners as direct competitors to their complementors. This paper surveys empirical studies... View Details
Zhu, Feng. "Friends or Foes? Examining Platform Owners' Entry into Complementors' Spaces." Special Issue on Platforms. Journal of Economics & Management Strategy 28, no. 1 (Spring 2019): 23–28.
- December 2018
- Case
Corporate Transformation at Merck KGaA, Darmstadt, Germany
By: Joseph B. Fuller, Amy C. Edmondson, Daniela Beyersdorfer and Tonia Labruyere
When Stefan Oschmann became CEO and chairman of the executive board of Merck KGaA, Darmstadt, Germany, in 2016, the company had started its transformation from a mid-tier traditional German industry player to a global modern science and technology player. The... View Details
Keywords: Corporate Governance With Family Ownership; Transformation; Change Management; Restructuring; Corporate Governance; Family Ownership
Fuller, Joseph B., Amy C. Edmondson, Daniela Beyersdorfer, and Tonia Labruyere. "Corporate Transformation at Merck KGaA, Darmstadt, Germany." Harvard Business School Case 319-072, December 2018.
- 2018
- Article
Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class
By: Jacqueline N. Lane, Bruce Ankenman and Seyed Iravani
As the service industry moves toward self-service, peer feedback serves a critical role in this shift for educational services. Peer feedback is a process by which students provide feedback to each other. One of its major benefits is that it enables students to become... View Details
Keywords: Peer Review; Peer Feedback; STEM Education; Anonymity; Education; Gender; Education Industry
Lane, Jacqueline N., Bruce Ankenman, and Seyed Iravani. "Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class." Service Science 10, no. 4 (2018): 442–456.
- November 2018
- Case
Komatsu Komtrax: Asset Tracking Meets Demand Forecasting
By: Willy Shih, Paul Hong and YoungWon Park
Komatsu's Komtrax system started as a way of remotely monitoring and tracking equipment for the purpose of improving operational efficiency. This case follows its evolution towards other uses including demand forecasting for its sales, marketing, and production... View Details
Keywords: Big Data; Manufacturing; Manufacturing Industry; Data Strategy; Internet Of Things; Construction; Production; Analytics and Data Science; Strategy; Performance Efficiency; Forecasting and Prediction; Industrial Products Industry; Construction Industry; Japan
Shih, Willy, Paul Hong, and YoungWon Park. "Komatsu Komtrax: Asset Tracking Meets Demand Forecasting." Harvard Business School Case 619-022, November 2018.
- November 2018
- Article
Global Evidence on Economic Preferences
By: Armin Falk, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman and Uwe Sunde
This article studies the global variation in economic preferences. For this purpose, we present the Global Preference Survey (GPS), an experimentally validated survey data set of time preference, risk preference, positive and negative reciprocity, altruism, and trust... View Details
Keywords: Economic Preferences; Economics; Behavior; Surveys; Analytics and Data Science; Global Range
Falk, Armin, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman, and Uwe Sunde. "Global Evidence on Economic Preferences." Quarterly Journal of Economics 113, no. 4 (November 2018): 1645–1692.