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(1,911)
- Faculty Publications (460)
- 2019
- Working Paper
From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing
By: Mihnea Moldoveanu and Das Narayandas
We examine the future of executive education on a technological and cultural landscape that is imminent but different to the one we are accustomed to. We show how the contextualization, socialization and personalization of learning—avowed but distal goals of current... View Details
Keywords: Executive Education; Leadership Development; Technological Innovation; Customization and Personalization; Management Skills; Knowledge Acquisition; Knowledge Sharing
Moldoveanu, Mihnea, and Das Narayandas. "From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing." Harvard Business School Working Paper, No. 20-061, November 2019.
- Article
The Role of Interactivity in Local Differential Privacy
By: Matthew Joseph, Jieming Mao, Seth Neel and Aaron Leon Roth
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they cannot return to... View Details
Joseph, Matthew, Jieming Mao, Seth Neel, and Aaron Leon Roth. "The Role of Interactivity in Local Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- 2019
- Working Paper
Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government... View Details
Keywords: Bi-level Optimization; Optimal Subsidies; Public Policy; Food Policy; Central Planner; Government Administration; Poverty; Food; Nutrition
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households." MIT Sloan Research Paper, No. 6053-19, November 2019.
- October 2019 (Revised August 2020)
- Case
The Predictive Index
By: Lynda M. Applegate and James Weber
Mike Zani and Daniel Muzquiz needed to decide next steps to create a new category in the human resources consulting industry and scale their company.
Zani and Muzquiz, serial entrepreneurs, acquired Predictive Index in 2014. Previously, as clients of the... View Details
Zani and Muzquiz, serial entrepreneurs, acquired Predictive Index in 2014. Previously, as clients of the... View Details
Keywords: Human Resources; Selection and Staffing; Talent and Talent Management; Recruitment; Corporate Entrepreneurship; Venture Capital; Change Management; Disruptive Innovation; Digital Platforms; Growth and Development Strategy; Consulting Industry; Service Industry; United States
Applegate, Lynda M., and James Weber. "The Predictive Index." Harvard Business School Case 820-034, October 2019. (Revised August 2020.)
- October 2019 (Revised February 2023)
- Case
Gupta Media: Performance Marketing in the Digital Age
By: V. Kasturi Rangan and Courtney Han
Gupta Media is a Digital Marketing firm started in 2005 that places advertisements and marketing promotions for its clients in digital media, mainly social media such as Facebook and Google. Over the years it had built its expertise in promoting music labels, artists... View Details
Keywords: Marketing; Digital Marketing; Performance; Measurement and Metrics; Social Media; Advertising Industry
Rangan, V. Kasturi, and Courtney Han. "Gupta Media: Performance Marketing in the Digital Age." Harvard Business School Case 520-031, October 2019. (Revised February 2023.)
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes
The purpose of this chapter is to examine the value structure of flow production processes and to explain why it is necessary to rationalize flow processes using the tools of systematic management. I first explain the problems facing managers of multi-step flow... View Details
Keywords: Flow Processes; Bottlenecks; Systematic Management; Production; Management; Problems and Challenges
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes." Harvard Business School Working Paper, No. 20-032, September 2019.
- 2019
- Chapter
Conclusion—Intersections of Race, Work, and Leadership: Lessons in Advancing Black Leaders
By: Laura Morgan Roberts and Anthony J. Mayo
In chapter 23, the concluding chapter of Race, Work, and Leadership, “Intersections of Race, Work, and Leadership,” Roberts and Mayo provide insights for understanding and enhancing the black experience. In addition, the editors summarize a series of... View Details
Morgan Roberts, Laura, and Anthony J. Mayo. "Conclusion—Intersections of Race, Work, and Leadership: Lessons in Advancing Black Leaders." Chap. 23 in Race, Work, and Leadership: New Perspectives on the Black Experience, edited by Laura Morgan Roberts, Anthony J. Mayo, and David A. Thomas, 419–432. Boston, MA: Harvard Business Review Press, 2019.
- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a... View Details
Wang, Franklyn, Ravi Jagadeesan, and Scott Duke Kominers. "Optimizing Reserves in School Choice: A Dynamic Programming Approach." Operations Research Letters 47, no. 5 (September 2019): 438–446.
- August 2019 (Revised March 2023)
- Case
Rand Fishkin at Moz (A)
In 2016, senior management at Moz, a venture capital–backed startup providing software tools for digital marketing professionals, must decide how to address a looming cash flow crisis precipitated by failed efforts to broaden its product line. Seattle-based Moz had... View Details
Keywords: Startups; Scaling; Entrepreneurship; Failure; Business Startups; Diversification; Growth Management; Technology Industry
Eisenmann, Thomas R. "Rand Fishkin at Moz (A)." Harvard Business School Case 820-002, August 2019. (Revised March 2023.)
- 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.
- July 2019
- Article
Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation
By: Samuel Antill and Steven R. Grenadier
We model a firm’s optimal capital structure decision in a framework in which it may later choose to enter either Chapter 11 reorganization or Chapter 7 liquidation. Creditors anticipate equityholders’ ex-post reorganization incentives and price them into the ex-ante... View Details
Keywords: Default; Dynamic Bargaining; Capital Structure; Insolvency and Bankruptcy; Mathematical Methods
Antill, Samuel, and Steven R. Grenadier. "Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation." Journal of Financial Economics 133, no. 1 (July 2019): 198–224.
- 2019
- White Paper
Future Positive: How Companies Can Tap Into Employee Optimism to Navigate Tomorrow's Workplace
By: Joseph B. Fuller, Judith K. Wallenstein, Manjari Raman and Alice de Chalendar
Fuller, Joseph B., Judith K. Wallenstein, Manjari Raman, and Alice de Chalendar. "Future Positive: How Companies Can Tap Into Employee Optimism to Navigate Tomorrow's Workplace." White Paper, May 2019.
- 2019
- Article
Time-Driven Activity-Based Cost Analysis for Outpatient Anticoagulation Therapy: Direct Costs in a Primary Care Setting with Optimal Performance
By: Robert S. Kaplan, Rohit A. Bobade, Richard A. Helmers, Thomas M. Jaeger, Laura J. Odell and Derek A. Haas
Objectives: To determine how overall cost of anticoagulation therapy for warfarin compares with that of Novel Oral Anticoagulants (NOACs). Also, to demonstrate a scientific, comprehensive, and an analytical approach to estimate direct costs involved in monitoring and... View Details
Keywords: Time-Driven Activity-Based Costing; Activity Based Costing and Management; Health Care and Treatment; Analysis
Kaplan, Robert S., Rohit A. Bobade, Richard A. Helmers, Thomas M. Jaeger, Laura J. Odell, and Derek A. Haas. "Time-Driven Activity-Based Cost Analysis for Outpatient Anticoagulation Therapy: Direct Costs in a Primary Care Setting with Optimal Performance." Journal of Medical Economics 22, no. 5 (2019): 471–477.
- May–June 2019
- Article
U-Shaped Conformity in Online Social Networks
By: Monic Sun, Michael Zhang and Feng Zhu
We explore how people balance their needs to belong and to be different from their friends by studying their choices of a virtual-house wall color on a leading Chinese social-networking site. The setting enables us to randomize both the popular color and the adoption... View Details
Keywords: Conformity; Normative Social Influence; Social Networks; Field Experiment; Social and Collaborative Networks; Behavior; Attitudes; Social Media
Sun, Monic, Michael Zhang, and Feng Zhu. "U-Shaped Conformity in Online Social Networks." Marketing Science 38, no. 3 (May–June 2019): 461–480.
- March 2019
- Supplement
KITEA (F): Expanding in Africa
By: Ramon Casadesus-Masanell and Gamze Yucaoglu
he case opens in 2018 after KITEA has recorded two years of double-digit sales growth following IKEA’s entry into the Moroccan market. It then traces the factors that contributed to KITEA’s success and that led Tana Africa Capital Limited to acquire a minority stake in... View Details
Keywords: Retail; KITEA; IKEA; Furniture; Furniture Industry; Entry Strategy; Responding To Entry; Localization; Competitive Interaction; Private Sector; For-Profit Firms; Business Strategy; Strategic Planning; Competitive Strategy; Competitive Advantage; Adaptation; Corporate Strategy; Success; Expansion; Strategy; Retail Industry; Africa; North Africa; Morocco
Casadesus-Masanell, Ramon, and Gamze Yucaoglu. "KITEA (F): Expanding in Africa." Harvard Business School Supplement 719-423, March 2019.
- 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.
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 13 Platform Systems vs. Step Processes—The Value of Options and the Power of Modularity
This is the first chapter in Part 3. Its purpose is to contrast the value structure of platform systems with step processes from a technological perspective. I first review the basic technical architecture of computers and argue that every computer is inherently a... View Details
Keywords: Platform Systems; Step Processes; Computer Architecture; Modularity; Information Technology; Digital Platforms
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 13 Platform Systems vs. Step Processes—The Value of Options and the Power of Modularity." Harvard Business School Working Paper, No. 19-073, January 2019.
- 2019
- Working Paper
Understanding Different Approaches to Benefit-Based Taxation
By: Robert Scherf and Matthew C. Weinzierl
The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for... View Details
Scherf, Robert, and Matthew C. Weinzierl. "Understanding Different Approaches to Benefit-Based Taxation." Harvard Business School Working Paper, No. 19-070, January 2019. (Revised August 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.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).