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- All HBS Web
(5,547)
- Faculty Publications (1,087)
- May 2019
- Article
A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image
By: S. Wiley Wakeman, Celia Moore and F. Gino
In six studies, we show that after experiencing a threat to their abilities, individuals who misrepresent their performance as better than it actually is boost their feelings of competence. We situate these findings in the literature on self-protection. We show that... View Details
Keywords: Cheating; Self-perception; Self-protection; Competency and Skills; Identity; Perception; Performance
Wakeman, S. Wiley, Celia Moore, and F. Gino. "A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image." Journal of Experimental Social Psychology 82 (May 2019): 253–265.
- April 2019 (Revised February 2020)
- Case
Ripple: The Business of Crypto
By: David B. Yoffie and George Gonzalez
The case explores Ripple CEO Brad Garlinghouse’s mission to disrupt the global payments industry by leveraging the cryptocurrency XRP. Students will learn about Bitcoin and the blockchain industry, as well as Ripple’s unique crypto business model. The case provides an... View Details
Keywords: Payment Systems; Cryptocurrency; Bitcoin; Blockchain; Fintech; Business Startups; Business Model; Disruption; Strategy; Banking Industry; Technology Industry
Yoffie, David B., and George Gonzalez. "Ripple: The Business of Crypto." Harvard Business School Case 719-506, April 2019. (Revised February 2020.)
- 2019
- Chapter
Characterizing the Drug Development Pipeline for Precision Medicines
By: Amitabh Chandra, Craig Garthwaite and Ariel Dora Stern
BOOK ABSTRACT: Personalized and precision medicine (PPM)—the targeting of therapies according to an individual’s genetic, environmental, or lifestyle characteristics—is becoming an increasingly important approach in health care treatment and prevention. The advancement... View Details
Chandra, Amitabh, Craig Garthwaite, and Ariel Dora Stern. "Characterizing the Drug Development Pipeline for Precision Medicines." Chap. 5 in Economic Dimensions of Personalized and Precision Medicine, edited by Ernest R. Berndt, Dana P. Goldman, and John W. Rowe, 115–158. University of Chicago Press, 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
Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
- March 2019
- Teaching Note
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie
This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details
- 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.
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- 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; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Israel; United States
Israeli, Ayelet, and David Lane. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Case 519-010, 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.
- February 2019 (Revised August 2019)
- Case
KangaTech
By: Karim R. Lakhani, Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik and Steven Randazzo
On a warm January afternoon in 2019, Steve Saunders, Dave Scerri, Carl Dilena, and Nick Haslam (see Exhibit 1 for biographies), co-founders of KangaTech, wrapped up the latest round of discussions about the future direction of their sports-technology start-up. Focused... View Details
Keywords: Startup; Technology Commercialization; Prototype; Business Startups; Technological Innovation; Sports; Health; Commercialization; Research and Development; Decision Making; Growth and Development Strategy; Technology Industry; Sports Industry; Health Industry; Australia
Lakhani, Karim R., Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik, and Steven Randazzo. "KangaTech." Harvard Business School Case 619-049, February 2019. (Revised August 2019.)
- 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.)
- 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
- Teaching Note
Pricing PatientPing
Teaching Note for HBS No. 818-017. PatientPing sells a software platform that allows health care providers to receive real-time notifications (“pings”) when one of their patients is admitted to or discharged from a health-care facility. The platform facilitates... View Details
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 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
- Chapter
Teams and Team Effectiveness in Health Services Organizations
By: Bruce J. Fried and Amy C. Edmondson
Book Abstract: Completely updated to address the challenges faced by modern health care organizations, this edition of Shortell and Kaluzny's Health Care Management: Organization Design and Behavior offers a more global perspective on how the United States and... View Details
Fried, Bruce J., and Amy C. Edmondson. "Teams and Team Effectiveness in Health Services Organizations." Chap. 5 in Shortell & Kaluzny's Health Care Management: Organization Design and Behavior. 7th ed., edited by Lawton Robert Burns, Elizabeth H. Bradley, and Bryan Jeffrey Weiner, 98–131. Boston, MA: Cengage Learning, 2019.
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
- December 2018 (Revised August 2022)
- Teaching Note
Revenue Recognition at HBP
By: Siko Sikochi and Paul Healy
In early 2014, Corporate Learning, one of three business units at Harvard Business Publishing (HBP), was in the process of revamping its flagship product, Harvard Manage-Mentor (HMM) from version 11.0 (HMM11) to version 12.0 (HMM12). The revamped software would be... View Details
- December 2018 (Revised February 2020)
- Case
Fishbowl: Scaling Up
By: Leslie K. John
Fishbowl is a social media app that allows professionals to connect with other relevant professionals both within their company and across industry. Unlike many other social media apps, on which users typically present idealized portraits of themselves, on Fishbowl,... View Details
Keywords: Communication Technologies; Customer Value; Value Chain; Interpersonal Communication; Talent and Talent Management; Customer Value and Value Chain; Entrepreneurship; Business Model; Growth and Development Strategy; Marketing Strategy; Advertising; Product Marketing; Digital Platforms; Consumer Behavior; Network Effects; Emotions; Motivation and Incentives; Trust; Applications and Software; Technology Adoption; Social Media; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; United States
John, Leslie K. "Fishbowl: Scaling Up." Harvard Business School Case 919-013, December 2018. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
- December 2018
- Case
Tiantong & Partners: Transforming Litigation Practice in China
By: Ashish Nanda and Lisa Rohrer
Jiang Yong founded Tiantong & Partners in 2002, seeking to radically improve the level of litigation-related services in China. By 2015, Tiantong was the premier Chinese litigation firm with the highest per lawyer revenues. The firm focused exclusively on high-stakes... View Details
Keywords: Law Firm; Law Firms; Growth; Legal Industry; Regulation; Professional Services; Law; Lawsuits and Litigation; Internet and the Web; Growth and Development; Strategy; Entrepreneurship; Decision Choices and Conditions; Legal Services Industry; China
Nanda, Ashish, and Lisa Rohrer. "Tiantong & Partners: Transforming Litigation Practice in China." Harvard Business School Case 719-457, December 2018.