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- All HBS Web
(1,975)
- Faculty Publications (560)
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond." Harvard Business School Working Paper, No. 18-042, November 2017.
- 2017
- Working Paper
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." NBER Working Paper Series, No. 24035, November 2017.
- 2017
- Working Paper
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
- September 2017
- Article
Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees
By: Anais Thibault-Landry, Allan Schweyer and Ashley V. Whillans
Given the struggle that many organizations face hiring and retaining talent in today's tight labor market, it is critical to understand how to effectively reward employees. To address this question, we review relevant evidence that explains the importance of workplace... View Details
Keywords: Rewards; Total Reward Strategies; Incentives; Recognition; Motivation; Psychological Needs; Employees; Retention; Motivation and Incentives; Working Conditions
Thibault-Landry, Anais, Allan Schweyer, and Ashley V. Whillans. "Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees." Compensation & Benefits Review 49, no. 4 (September 2017): 230–246.
- 2018
- Working Paper
Class Matters: The Role of Social Class and Organizational Sector in High-Achieving Women's Legitimacy Narratives
By: Judith A. Clair, Rachel D. Arnett, Katherine Chen, Beth K. Humberd and Kathleen L. McGinn
While prior research recognizes that women struggle to maintain legitimacy for their successes and that self-narratives play a key role in building such legitimacy, theory provides limited insight into how women build legitimacy through their self-narratives. Our... View Details
Keywords: Personal Development and Career; Gender; Success; Diversity; Perception; Situation or Environment
Clair, Judith A., Rachel D. Arnett, Katherine Chen, Beth K. Humberd, and Kathleen L. McGinn. "Class Matters: The Role of Social Class and Organizational Sector in High-Achieving Women's Legitimacy Narratives." Harvard Business School Working Paper, No. 18-014, August 2018. (Revised August 2018 for requested resubmission.)
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- Article
Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting
By: Louis Kaplow and Scott Duke Kominers
Who will vote quadratically in large-N elections under quadratic voting (QV)? First, who will vote? Although the core QV literature assumes that everyone votes, turnout is endogenous. Drawing on other work, we consider the representativeness of endogenously... View Details
Keywords: Voting Turnout; Paradox Of Voting; Quadratic Voting; Pivotality; Elections; Voting; Political Elections; Mathematical Methods
Kaplow, Louis, and Scott Duke Kominers. "Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting." Special Issue on Quadratic Voting and the Public Good. Public Choice 172, nos. 1-2 (July 2017): 125–149.
- 2017
- Chapter
Marketing Models for the Customer-Centric Firm
By: Eva Ascarza, Peter S. Fader and Bruce G.S. Hardie
A customer-centric firm takes the view that there are three key drivers of (organic) growth and overall profitability: Customer acquisition, customer retention, and customer development (i.e., increasing the value of each existing customer (per unit of time) while they... View Details
Ascarza, Eva, Peter S. Fader, and Bruce G.S. Hardie. "Marketing Models for the Customer-Centric Firm." In Handbook of Marketing Decision Models. 2nd ed. Edited by Berend Wierenga and Ralf van der Lans, 297–330. International Series in Operations Research & Management Science. Springer, 2017.
- 2019
- Chapter
Quantitative and Qualitative Methods in Organizational Research
By: Amy C. Edmondson and Tiona Zuzul
Selecting the appropriate method for a given research question is an essential skill for organizational researchers. High-quality research involves a good fit between the methods used and the nature of the contribution to the literature. This article describes a... View Details
Edmondson, Amy C., and Tiona Zuzul. "Quantitative and Qualitative Methods in Organizational Research." In The Palgrave Encyclopedia of Strategic Management. Continuously updated edition, edited by Mie Augier and David J. Teece. Palgrave Macmillan, 2017. Electronic. (Pre-published, October 2013.)
- Article
Statistical Physics of Human Cooperation
By: Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti and Attila Szolnoki
Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large... View Details
Keywords: Human Cooperation; Evolutionary Game Theory; Public Goods; Reward; Punishment; Tolerance; Self-organization; Pattern Formation; Cooperation; Behavior; Game Theory
Perc, Matjaž, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, and Attila Szolnoki. "Statistical Physics of Human Cooperation." Physics Reports 687 (May 8, 2017): 1–51.
- May 2017
- Article
Agent-based Modeling: A Guide for Social Psychologists
By: Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton and Kurt Gray
Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to... View Details
Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May 2017): 387–395.
- May 2017
- Article
Stable and Strategy-Proof Matching with Flexible Allotments
By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
We introduce a framework of matching with flexible allotments that can be used to model firms with cross-division hiring restrictions. Our framework also allows us to nest some prior models of matching with distributional constraints. Building upon our recent work on... View Details
Hatfield, John William, Scott Duke Kominers, and Alexander Westkamp. "Stable and Strategy-Proof Matching with Flexible Allotments." American Economic Review 107, no. 5 (May 2017): 214–219.
- March 2017 (Revised March 2022)
- Case
Flashion: Art vs. Science in Fashion Retailing
By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
- 2017
- Working Paper
Minimizing Justified Envy in School Choice: The Design of New Orleans' OneApp
By: Atila Abdulkadiroglu, Yeon-Koo Che, Parag A. Pathak, Alvin E. Roth and Oliver Tercieux
In 2012, New Orleans Recovery School District (RSD) became the first U.S. district to unify charter and traditional public school admissions in a single-offer assignment mechanism known as OneApp. The RSD also became the first district to use a mechanism based on Top... View Details
Keywords: Education; Decision Choices and Conditions; Marketplace Matching; Mathematical Methods; Design
Abdulkadiroglu, Atila, Yeon-Koo Che, Parag A. Pathak, Alvin E. Roth, and Oliver Tercieux. "Minimizing Justified Envy in School Choice: The Design of New Orleans' OneApp." NBER Working Paper Series, No. 23265, March 2017.
- 2017
- Chapter
Toward Transparent Reporting of Psychological Science
By: Etienne P. LeBel and Leslie K. John
In this chapter we make a case for increased transparency of the methods used to obtain research findings. Although comprehensive reporting facilitates accurate assessment of a paper’s claims, the current reporting norm is secrecy, not openness. We begin by putting... View Details
LeBel, Etienne P., and Leslie K. John. "Toward Transparent Reporting of Psychological Science." In Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions, edited by S.O. Lilienfeld and I.D. Waldman. New York: John Wiley & Sons, 2017.
- January 2017
- Article
The Dark Side of Going Abroad: How Broad Foreign Experiences Increase Immoral Behavior
By: Jackson G. Lu, Jordi Quoidbach, F. Gino, Alek Chakroff, William W. Maddux and Adam D. Galinsky
Due to the unprecedented pace of globalization, foreign experiences are increasingly common and valued. Past research has focused on the benefits of foreign experiences, including enhanced creativity and reduced intergroup bias. In contrast, the present work uncovers a... View Details
Lu, Jackson G., Jordi Quoidbach, F. Gino, Alek Chakroff, William W. Maddux, and Adam D. Galinsky. "The Dark Side of Going Abroad: How Broad Foreign Experiences Increase Immoral Behavior." Journal of Personality and Social Psychology 112, no. 1 (January 2017): 1–16.
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- November 2016
- Case
QuintilesIMS: Biosimilar Marketing in England
By: John A. Quelch and Emily C. Boudreau
QuintilesIMS was a leading healthcare consulting firm best known for its data and information offerings as well as its market research and management consulting services for life science companies. By 2015, the company was expanding beyond the biopharmaceutical... View Details
Keywords: Health; Pharmaceutical Industry; Biotech; Marketing; Health Care and Treatment; Biotechnology Industry; England
Quelch, John A., and Emily C. Boudreau. "QuintilesIMS: Biosimilar Marketing in England." Harvard Business School Case 517-054, November 2016.
- 2016
- Working Paper
Refugee Resettlement
By: David Delacretaz, Scott Duke Kominers and Alexander Teytelboym
Over 100,000 refugees are permanently resettled from refugee camps to hosting
countries every year. Nevertheless, refugee resettlement processes in most countries
are ad hoc, accounting for neither the priorities of hosting communities nor the preferences of refugees... View Details
Delacretaz, David, Scott Duke Kominers, and Alexander Teytelboym. "Refugee Resettlement." Working Paper, November 2016.