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    • Faculty Publications  (10)

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    • All HBS Web  (153)
      • Faculty Publications  (10)

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      • March–April 2023
      • Article

      Pricing for Heterogeneous Products: Analytics for Ticket Reselling

      By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
      Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
      Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
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      Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
      • 2022
      • Article

      Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

      By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
      A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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      Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
      • September–October 2020
      • Article

      Managing Churn to Maximize Profits

      By: Aurelie Lemmens and Sunil Gupta
      Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
      Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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      Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
      • Article

      Oracle Efficient Private Non-Convex Optimization

      By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
      One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
      Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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      Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • June 2020
      • Case

      In-housing Digital Marketing at Sprint Corp.

      By: David E. Bell, Rajiv Lal and Olivia Hull
      In the fall of 2019, Sprint’s Chief Digital Officer Rob Roy reflected on the telecom’s efforts to improve the effectiveness of its digital marketing campaigns. Digital media buying had long been handled by an outside agency, but in 2017, Sprint brought those functions... View Details
      Keywords: Advertising; Digital Marketing; Transformation; Talent and Talent Management; Marketing Strategy; Social Marketing; Telecommunications Industry; Electronics Industry; Web Services Industry; United States
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      Bell, David E., Rajiv Lal, and Olivia Hull. "In-housing Digital Marketing at Sprint Corp." Harvard Business School Case 520-026, June 2020.
      • 2014
      • Working Paper

      Non-Adherence in Health Care: A Positive and Normative Analysis

      By: Mark Egan and Tomas J. Philipson
      Non-adherence in health care results when a patient does not initiate or continue care that a provider has recommended. Previous research identifies non-adherence as a major source of waste in US health care, totaling approximately 2.3% of GDP, and have proposed a... View Details
      Keywords: Health Care and Treatment; Behavior; Economics; Analysis; Mathematical Methods
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      Egan, Mark, and Tomas J. Philipson. "Non-Adherence in Health Care: A Positive and Normative Analysis." NBER Working Paper Series, No. 20330, July 2014. (Previously titled, "Health Care Adherence and Personalized Medicine.")
      • 2019
      • Working Paper

      Managing Churn to Maximize Profits

      By: Aurelie Lemmens and Sunil Gupta
      Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
      Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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      Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
      • March–April 2013
      • Article

      Language Matters: Status Loss & Achieved Status Distinctions in Global Organizations

      By: Tsedal Neeley
      How workers experience and express status loss in organizations has received little scholarly attention. I conducted a qualitative study of a French high-tech company that had instituted English as a lingua franca, or common language, as a context for examining this... View Details
      Keywords: Organizations; Status and Position; Loss; Spoken Communication; Emotions; Attitudes; Behavior; Globalization
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      Neeley, Tsedal. "Language Matters: Status Loss & Achieved Status Distinctions in Global Organizations." Organization Science 24, no. 2 (March–April 2013): 476–497.
      • November 2012
      • Article

      Empirical Observations on Longer-term Use of Incentives for Weight Loss

      By: Leslie K. John, George Loewenstein and Kevin Volpp
      Behavioral economic-based interventions are emerging as powerful tools to help individuals accomplish their own goals, including weight loss. Deposit contract incentive systems give participants the opportunity to put their money down toward losing weight, which they... View Details
      Keywords: Weight Loss; Obesity; Behavioral Economics; Intervention; Behavior; Motivation and Incentives
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      John, Leslie K., George Loewenstein, and Kevin Volpp. "Empirical Observations on Longer-term Use of Incentives for Weight Loss." Preventive Medicine 55, Supplement 1 (November 2012): S68–S74.
      • August 2011 (Revised April 2013)
      • Case

      Language and Globalization: 'Englishnization' at Rakuten (A)

      By: Tsedal Neeley
      Hiroshi Mikitani, the CEO of Rakuten, (Japan's largest online retailer), is at the helm of an organization that is rapidly expanding into global markets. In a critical stride toward becoming the world's No. 1 Internet services company, Mikitani announces... View Details
      Keywords: Teaching; Human Capital; Change Management; Transformation; Social Enterprise; Communication Strategy; Internet and the Web; Disruptive Innovation; Organizational Change and Adaptation; Strategic Planning; Leadership; Global Strategy; Technology Industry; Retail Industry; Japan
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      Neeley, Tsedal. "Language and Globalization: 'Englishnization' at Rakuten (A)." Harvard Business School Case 412-002, August 2011. (Revised April 2013.)
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