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Publications

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      • May 2022
      • Case

      Rawbank's Illico Cash: Can 'Fast Money' Overcome Cash Dependency in the DRC?

      By: Lauren Cohen and Grace Headinger
      Thomas de Dreux-Brézé, the Head of Strategy and Project Management at Rawbank Congo in the Democratic Republic of the Congo (DRC), was perplexed as he reviewed annual adoption rates for the bank’s launch of Illico Cash 2.0. As the bank’s mobile money app, Illico Cash...  View Details
      Keywords: Fintech; Inflation; Deflation; Rural; Urban; Emerging Market; Mobile Technology; Finance; Money; Inflation and Deflation; Business Growth and Maturation; Decision Choices and Conditions; Demographics; Developing Countries and Economies; Corporate Entrepreneurship; Behavioral Finance; Currency; Banks and Banking; Commercial Banking; Financial Strategy; Rural Scope; Urban Scope; Innovation Strategy; Emerging Markets; Network Effects; Consumer Behavior; Mobile and Wireless Technology; Technology Adoption; Banking Industry; Financial Services Industry; Technology Industry; Congo, Democratic Republic of the
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      Cohen, Lauren, and Grace Headinger. "Rawbank's Illico Cash: Can 'Fast Money' Overcome Cash Dependency in the DRC?" Harvard Business School Case 222-084, May 2022.
      • 2022
      • Working Paper

      Can Evidence-Based Information Shift Preferences Towards Trade Policy?

      By: Laura Alfaro, Maggie X. Chen and Davin Chor
      We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of...  View Details
      Keywords: Evidence; Preference; Trade Policy; Information; Trade; Policy; Attitudes
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      Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022.
      • March 2022
      • Article

      Learning to Rank an Assortment of Products

      By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
      We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue...  View Details
      Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
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      Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
      • 2021
      • Working Paper

      Scared Straight? Threat and Assimilation of Refugees in Germany

      By: Philipp Jaschke, Sulin Sardoschau and Marco Tabellini
      This paper studies the effects of threat on convergence to local culture and on economic assimilation of refugees, exploiting plausibly exogenous variation in their allocation across German regions between 2013 and 2016. We combine novel survey data on cultural...  View Details
      Keywords: Assimilation; Threat Hypothesis; Migration; Refugees; Culture; Identity; Germany
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      Jaschke, Philipp, Sulin Sardoschau, and Marco Tabellini. "Scared Straight? Threat and Assimilation of Refugees in Germany." Harvard Business School Working Paper, No. 22-043, December 2021.
      • October 2021
      • Article

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Nicolas Padilla and 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; Programs; Consumer Behavior; Analysis
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
      • September 2021
      • Article

      Network Interconnectivity and Entry into Platform Markets

      By: Feng Zhu, Xinxin Li, Ehsan Valavi and Marco Iansiti
      Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whereas in others, buyers primarily purchase services from providers within...  View Details
      Keywords: Network Interconnectivity; Platform Competition; Market Entry; Networks; Digital Platforms; Competition; Market Entry and Exit
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      Zhu, Feng, Xinxin Li, Ehsan Valavi, and Marco Iansiti. "Network Interconnectivity and Entry into Platform Markets." Information Systems Research 32, no. 3 (September 2021): 1009–1024.
      • 2021
      • Article

      To Thine Own Self Be True? Incentive Problems in Personalized Law

      By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
      Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...  View Details
      Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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      Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
      • May 2021 (Revised February 2022)
      • Teaching Note

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Ayelet Israeli and Jill Avery
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2022.)
      • Article

      Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences

      By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
      A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power...  View Details
      Keywords: Moral Preferences; Moral Frames; Observability; Trustworthiness; Trust Game; Trade-off Game; Moral Sensibility; Reputation; Behavior; Trust
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      Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Journal of Experimental Social Psychology 94 (May 2021).
      • 2021
      • Working Paper

      Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment

      By: Patrick J. Ferguson and Karim R. Lakhani
      Contests that are designed to be consumed for entertainment by non-contestants are a fixture of economic, cultural and political life. In this paper, we examine whether individuals prefer to consume contests that have more uncertain outcomes. We look to...  View Details
      Keywords: Contest Design; Information Preferences; Consumer Demand; Sports; Entertainment; Games, Gaming, and Gambling; Demand and Consumers; Outcome or Result
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      Ferguson, Patrick J., and Karim R. Lakhani. "Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment." Harvard Business School Working Paper, No. 21-087, February 2021.
      • 2021
      • Working Paper

      Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences

      By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
      A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power...  View Details
      Keywords: Moral Preferences; Moral Frames; Observability; Trustworthiness; Trust Game; Trade-off Game; Moral Sensibility; Reputation; Behavior; Trust
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      Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Working Paper, January 2021.
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • January 2021
      • Article

      Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis

      By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
      The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian...  View Details
      Keywords: Self-serving Bias; Procedural Justice; Bioethics; COVID-19; Fairness; Health Pandemics; Resource Allocation; Decision Making
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      Huang, Karen, Regan Bernhard, Netta Barak-Corren, Max Bazerman, and Joshua D. Greene. "Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis." Judgment and Decision Making 16, no. 1 (January 2021): 1–19.
      • October 2020 (Revised February 2021)
      • Exercise

      SenseAim Technologies: Pricing to Win

      By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
      This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when...  View Details
      Keywords: Pricing Decisions; Cost; Information; Price; Decision Making
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      Ofek, Elie, Eyal Biyalogorsky, Marco Bertini, and Oded Koenigsberg. "SenseAim Technologies: Pricing to Win." Harvard Business School Exercise 521-049, October 2020. (Revised February 2021.)
      • August 2020 (Revised March 2021)
      • Case

      Migros Turkey: Scaling Online Operations (A)

      By: Antonio Moreno and Gamze Yucaoglu
      The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and...  View Details
      Keywords: Retail; Grocery; Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Turkey
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      Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
      • August 2020
      • Article

      Trust in State and Non-State Actors: Evidence from Dispute Resolution in Pakistan

      By: Daron Acemoglu, Ali Cheema, Asim I. Khwaja and James A. Robinson
      Lack of trust in state institutions is a pervasive problem in many developing countries. This paper investigates whether information about improved public services can help build trust in state institutions and move people away from non-state actors. We find that...  View Details
      Keywords: Dispute Resolution; Lab-in-the-field Games; Legitimacy; Motivated Reasoning; Non-state Actors; State Capacity; Trust; Conflict and Resolution; Information; Developing Countries and Economies
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      Acemoglu, Daron, Ali Cheema, Asim I. Khwaja, and James A. Robinson. "Trust in State and Non-State Actors: Evidence from Dispute Resolution in Pakistan." Journal of Political Economy 128, no. 8 (August 2020): 3090–3147.
      • 2020
      • Working Paper

      In a Pandemic, People Must Remember: Friends Are Contagious

      By: T. Schlager and A.V. Whillans
      This article reveals a behavioral tendency that may contribute to the spread of the novel coronavirus (SARS-CoV-2). Across seven studies—including two representative samples of Americans and Canadians (N = 3,408)—we show that people consistently underestimate...  View Details
      Keywords: Coronavirus; Behavior; Health Pandemics; Relationships; Risk and Uncertainty; Perception
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      Schlager, T., and A.V. Whillans. "In a Pandemic, People Must Remember: Friends Are Contagious." Harvard Business School Working Paper, No. 21-011, July 2020. (Revised September 2020.)
      • April 2020
      • Article

      Field Comparisons of Incentive-Compatible Preference Elicitation Techniques

      By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
      Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for...  View Details
      Keywords: Incentive-compatible Elicitation; Experimental Methods; Weather Insurance; Rainfall Insurance; Agricultural Extension; Demand and Consumers
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      Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.
      • Article

      Designing Social Networks: Joint Tasks and the Formation of Network Ties

      By: Sharique Hasan and Rembrand Koning
      Can managers influence the formation of organizational networks? In this article, we evaluate the effect of joint tasks on the creation of network ties with data from a novel field experiment with 112 aspiring entrepreneurs. During the study, we randomized individuals...  View Details
      Keywords: Accelerators; Entrepreneur; Social Networks; Field Experiment; Entrepreneurship; Organizational Design; Networks; Social and Collaborative Networks; Social Media; Information Technology Industry; India
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      Hasan, Sharique, and Rembrand Koning. "Designing Social Networks: Joint Tasks and the Formation of Network Ties." Art. 4. Journal of Organization Design 9 (2020).
      • 2020
      • Working Paper

      Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice

      By: Regina E. Herzlinger and Barak D. Richman
      The U.S. employer-based health insurance tax exclusion created a system of employer-sponsored insurance (ESI) with limited insurance choices and transparency that may lock employed households into health plans that are costlier or different from those they prefer to...  View Details
      Keywords: After-tax Income; Consumer-driven Health Care; Health Care Costs; Health Insurance; Income Inequality; Tax Policy; Health Care and Treatment; Cost; Insurance; Employees; Income; Taxation; Policy; United States
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      Herzlinger, Regina E., and Barak D. Richman. "Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019. (Revised January 2021.)
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