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(1,842)
- Faculty Publications (449)
- August 2019
- Case
Subscription Lines Dilemma
By: Victoria Ivashina and Terrence Shu
This case follows a fictional managing partner of a private equity firm, as she contemplates whether to utilize subscription lines of credit in her firm’s funds. Subscription lines are revolving lines of credit secured by commitments from a fund’s investors. Private... View Details
Ivashina, Victoria, and Terrence Shu. "Subscription Lines Dilemma." Harvard Business School Case 220-025, August 2019.
- August 2019
- Case
Twiggle: E-commerce with Semantic Search
By: Shane Greenstein and Danielle Golan
Four years after being founded, in 2014, by former Google executives Amir Konigsberg (CEO) and Adi Avidor (CTO), Twiggle had developed a search enhancement that plugged into an online merchant’s existing framework. The company utilized advanced structuring and... View Details
Keywords: Search Technology; Customer Acquisition; Internet and the Web; Technological Innovation; Commercialization; Growth and Development Strategy; E-commerce; Technology Industry; Israel
Greenstein, Shane, and Danielle Golan. "Twiggle: E-commerce with Semantic Search." Harvard Business School Case 620-025, August 2019.
- 2019
- Article
Allocation for Social Good: Auditing Mechanisms for Utility Maximization
By: Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers and Kevin Leyton-Brown
Lundy, Taylor, Alexander Wei, Hu Fu, Scott Duke Kominers, and Kevin Leyton-Brown. "Allocation for Social Good: Auditing Mechanisms for Utility Maximization." Proceedings of the ACM Conference on Economics and Computation (2019): 785–803.
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- 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
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
- Working Paper
Rehabilitating Corporate Purpose
In this paper, I address how the ascendance of the theory of shareholder value maximization into the central consciousness of public corporations and its canonization as the only legitimate expression of corporate purpose has contributed to both a widening breach... View Details
Keywords: Capitalism; Justice; Corporate Purpose; Shareholder Value Maximization; Ethical Reciprocity; Economic Systems; Business Ventures; Mission and Purpose; Ethics; Corporate Social Responsibility and Impact
Salter, Malcolm S. "Rehabilitating Corporate Purpose." Harvard Business School Working Paper, No. 19-104, April 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
- 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
- Article
A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes
By: Robert S. Kaplan, Heather A. Heaton, David M. Nestler, William J. Barry, Richard A. Helmers, Mustafa Y. Sir, Deepi G. Goyal, Derek A. Haas and Annie T. Sadosty
Objectives: To apply time-driven activity-based costing (TDABC) methodology to determine emergency medicine physician documentation costs with and without scribes.
Methods: Two research assistants shadowed attending physicians for a total of 64 hours in the... View Details
Methods: Two research assistants shadowed attending physicians for a total of 64 hours in the... View Details
Kaplan, Robert S., Heather A. Heaton, David M. Nestler, William J. Barry, Richard A. Helmers, Mustafa Y. Sir, Deepi G. Goyal, Derek A. Haas, and Annie T. Sadosty. "A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes." Mayo Clinic Proceedings: Innovations, Quality & Outcomes 3, no. 1 (March 2019): 30–34.
- 2019
- Chapter
Behavioral Economics and Health-Care Markets
By: Amitabh Chandra, Benjamin Handel and Joshua Schwartzstein
This chapter summarizes research in behavioral health economics, focusing on insurance markets and product markets in health care. We argue that the prevalence of choice difficulties and biases leading to mistakes in these markets establish a special place for them in... View Details
Keywords: Behavioral Economics; Consumer Behavior; Economics; Health Care and Treatment; Insurance; Markets
Chandra, Amitabh, Benjamin Handel, and Joshua Schwartzstein. "Behavioral Economics and Health-Care Markets." Chap. 6 in Handbook of Behavioral Economics: Foundations and Applications 2, edited by B. Douglas Bernheim, Stefano DellaVigna, and David Laibson, 459–502. Amsterdam: Elsevier/North-Holland, 2019.
- January 2019 (Revised December 2019)
- Case
CrossBoundary Energy
By: John Macomber
Almost 500 million people are without electricity in sub-Saharan Africa. Governments and public utilities are challenged to bring generation and distribution to most of them. Considerable promise exists in “off-grid” or “mini-grid” technologies, notably using renewable... View Details
Keywords: Energy Investing; Economic Development; Renewable Energy; Business Growth and Maturation; Developing Countries and Economies; Project Finance; Emerging Markets; Industry Structures; Infrastructure; Segmentation; Private Equity; Decision Choices and Conditions; Utilities Industry; Utilities Industry; Africa; Tanzania; Ghana
Macomber, John. "CrossBoundary Energy." Harvard Business School Case 219-089, January 2019. (Revised December 2019.)
- 2019
- Working Paper
Immigrant Networking and Collaboration: Survey Evidence from CIC
By: Sari Pekkala Kerr and William R. Kerr
Networking and the giving and receiving of advice outside of one’s own firm are important features of entrepreneurship and innovation. We study how immigrants and natives utilize the potential networking opportunities provided by CIC, formerly known as the Cambridge... View Details
Keywords: Immigrants; Networking; Advice; Entrepreneurs; Inventors; Start-up Employees; Venturing; Co-working; Agglomeration; Immigration; Entrepreneurship; Networks; Innovation and Invention; Social and Collaborative Networks
Kerr, Sari Pekkala, and William R. Kerr. "Immigrant Networking and Collaboration: Survey Evidence from CIC." Harvard Business School Working Paper, No. 19-078, January 2019.
- Article
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details
Ligett, Katrina, Seth Neel, Aaron Leon Roth, Bo Waggoner, and Steven Wu. "Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM." Journal of Privacy and Confidentiality 9, no. 2 (2019).
- November 2018
- Case
Swissgrid: Enterprise Risk Management in a Digital Age
By: Robert S. Kaplan and Anette Mikes
Kurt Meyer, chief risk officer of Swissgrid, the Swiss national electricity transmission system operator, reflects on the risk management system he installed after the deregulation and liberalization of the European energy market. With 41 connections to other European... View Details
Keywords: Enterprise Risk Management; Energy Transmission; Risk and Uncertainty; Risk Management; Energy; Utilities Industry; Utilities Industry; Switzerland
Kaplan, Robert S., and Anette Mikes. "Swissgrid: Enterprise Risk Management in a Digital Age." Harvard Business School Case 119-045, November 2018.
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- July 2018 (Revised July 2018)
- Teaching Note
Argentina Power—Don’t Cry for Me Argentina
By: Nori Gerardo Lietz and Sayiddah Fatima McCree
Teaching Note for HBS No. 218-041. This case concerns a complex potential energy infrastructure investment in Argentina by a global conglomerate shortly after Mauricio Macri (“Macri”) became President of Argentina in 2015. The central issues are (i) why was a country... View Details
- July 2018 (Revised January 2021)
- Case
RunKeeper
By: Shikhar Ghosh and Shweta Bagai
The case examines the focus of an early stage company and how venture capital can distort a founder’s view. It encompasses issues such as financing, understanding the founders’ definition of success/failure, defining and pivoting a business model, and determining the... View Details
Keywords: Early Stage Funding; Pivot; Entrepreneurship; Venture Capital; Business Model; Health Industry
Ghosh, Shikhar, and Shweta Bagai. "RunKeeper." Harvard Business School Case 819-020, July 2018. (Revised January 2021.)
- June 2018
- Article
The Power of Workplace Rewards: Using Self-Determination Theory to Understand Why Reward Satisfaction Matters for Workers Around the World
By: Anais Thibault Landry and A.V. Whillans
How can workplace rewards promote employee well-being and engagement? To answer these questions, we utilized self-determination theory to examine whether reward satisfaction predicted employee well-being, job satisfaction, intrinsic motivation, and affective... View Details
Keywords: Workplace; Rewards; Motivation; Employees; Satisfaction; Motivation and Incentives; Welfare
Landry, Anais Thibault, and A.V. Whillans. "The Power of Workplace Rewards: Using Self-Determination Theory to Understand Why Reward Satisfaction Matters for Workers Around the World." Compensation & Benefits Review 50, no. 3 (June 2018): 123–148.
- May 2018 (Revised October 2018)
- Case
Argentina Power—Don't Cry for Me Argentina
By: Nori Gerardo Lietz and Sayiddah Fatima McCree
In 2016, Bruce Wayne, Managing Director of Energy Finance Corporation (“EFC”), was refining the Investment/Credit Committee materials for the development of up to 10 power generating plants in Argentina. As a subsidiary of the much larger International Conglomerate... View Details
Keywords: Cross Border; Energy Markets; Infrastructure Finance; Infrastructure Development; Business Subsidiaries; Business Cycles; Macroeconomics; Energy Generation; International Finance; Project Finance; Government and Politics; Demand and Consumers; Infrastructure; Utilities Industry; Utilities Industry; Utilities Industry; Argentina; Latin America
Lietz, Nori Gerardo, and Sayiddah Fatima McCree. "Argentina Power—Don't Cry for Me Argentina." Harvard Business School Case 218-041, May 2018. (Revised October 2018.)