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  • 2020
  • Working Paper

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

By: 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; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • February 26, 2024
  • Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
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Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
  • June 2024
  • Article

Rationalizing Outcomes: Interdependent Learning in Competitive Markets

By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
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Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
  • 12 Nov 2001
  • Research & Ideas

Can Religion and Business Learn From Each Other?

learn from business? I think there's a lot of room for cross-learning here. One of the things I think the religious community can learn from the... View Details
Keywords: by Martha Lagace
  • July–August 2023
  • Article

Demand Learning and Pricing for Varying Assortments

By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
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Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
  • January 2008
  • Article

Learning the Fine Art of Collaboration

By: Alan MacCormack and Theodore Forbath
Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details
Keywords: Digital Platforms
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MacCormack, Alan, and Theodore Forbath. "Learning the Fine Art of Collaboration." Forethought. Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008): 10–11.
  • 03 Dec 2001
  • What Do You Think?

What Happens When the Sumo Master Learns Judo?

combatants have unusual means at their disposal, regardless of size. The comments raise several questions: What are the chances that Microsoft can defy traditional market dynamics? What kinds of strategic and organizational decisions would it take? If it were to... View Details
Keywords: by James Heskett
  • Research Summary

Making Machine Learning Robust to Adversarial Attacks

By: Himabindu Lakkaraju
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
  • 07 May 2020
  • Research & Ideas

The One Good Thing Caused by COVID-19: Innovation

accommodating an appropriate level of economic activity. Businesses have historically overcome this type of challenge through the introduction of risk-mitigating technologies, which in this pandemic include technologies, business practices, and strategies that improve... View Details
Keywords: by Hong Luo and Alberto Galasso
  • 21 Aug 2019
  • Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

is a writer based in the Boston area. [Image: ConceptCafe] Related Reading: Will Machine Learning Make You a Better Manager? The Better Way to Forecast the Future Working Paper: CEO Behavior and Firm Performance What do you View Details
Keywords: by Michael Blanding
  • 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
Keywords: Allocation Problems; Algorithms; Fairness; Learning
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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.
  • June 2019
  • Article

Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes

By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo
Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not... View Details
Keywords: Female Labor Force Participation; Gender Attitudes; Household Labor; Maternal Employment; Social Class; Social Learning Theory; Social Mobility; Employment; Gender; Attitudes; Household; Labor; Learning; Outcome or Result
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McGinn, Kathleen L., Mayra Ruiz Castro, and Elizabeth Long Lingo. "Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes." Work, Employment and Society 33, no. 3 (June 2019): 374–400.
  • 24 Apr 2018
  • Op-Ed

Op-Ed: What Mark Zuckerberg Can Learn About Crisis Leadership from Starbucks

Facebook’s current data privacy crisis, could learn a lot from Johnson. Let’s examine how Johnson and Zuckerberg measured up against what I have identified as 7 Lessons for Leading in Crisis. #1: Face reality, starting with yourself.... View Details
Keywords: by Bill George; Technology; Food & Beverage
  • 17 Feb 2003
  • Research & Ideas

Rating Fund Managers by the Company They Keep

Many tools for rating the performance of mutual funds and their managers rely heavily on past performance. But what about the future? Now comes a system devised by Randolph B. Cohen and Joshua D. Coval of Harvard Business School, and... View Details
Keywords: by Ann Cullen
  • July 2022
  • Article

A Strategic View of Team Learning in Organizations

By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
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Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.
  • 2013
  • Chapter

Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz

By: Josh Lerner
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Lerner, Josh. Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz. In The Industrial Policy Revolution I: The Role of Government Beyond Ideology. no. 151-1, edited by Joseph E. Stiglitz and Justin Lin Yifu. IEA Conference Volume. London: Palgrave Macmillan, 2013.
  • February 2016 (Revised December 2016)
  • Case

IMAX: Scaling Personalized Learning in India

By: John Jong-Hyun Kim, Michael Chu and Rachna Tahilyani
IMAX is a provider of comprehensive testing and personalized content across mid-range and low-cost private K-10 schools in India. It aims to improve learning outcomes by providing schools with an integrated product suite including textbooks, workbooks, assessments,... View Details
Keywords: Curriculum and Courses; Learning; Acquisition; Business Strategy; Growth and Development Strategy; Education Industry; India
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Kim, John Jong-Hyun, Michael Chu, and Rachna Tahilyani. "IMAX: Scaling Personalized Learning in India." Harvard Business School Case 316-108, February 2016. (Revised December 2016.)
  • 14 Apr 2022
  • Op-Ed

Let’s Move Forward from COVID—Without Forgetting What We’ve Learned

decline, and even the spike created by the delta and omicron variants could not stop corporations from recalling workers to the office. Many companies want to go back to the way things were, but that would be a mistake. “Organizational... View Details
Keywords: by Hise O. Gibson and MaShon Wilson
  • 05 Feb 2015
  • Research & Ideas

How New BofA Executives Learn its ’Deep Smarts’

executives. To address these needs, the bank has created an onboarding program for executives one to two levels below the C-suite. The program aims to ensure that the new executives understand role expectations, quickly develop a network among key stakeholders, build... View Details
Keywords: Re: Dorothy A. Leonard; Banking
  • April 2024
  • Supplement

RHI Magnesita (B): Brick by Brick—Diversification?

By: Ramon Casadesus-Masanell, David M Wagner, Oliver Gassmann and Jordan Mitchell
In Part A, as of April 2017, Austria’s RHI, a backward integrated refractory company is still within the midst of merging with the next biggest competitor, Brazil’s Magnesita, while weighing options for future growth. Should the company pursue organic growth options... View Details
Keywords: Mergers and Acquisitions; Growth and Development Strategy; Diversification
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Casadesus-Masanell, Ramon, David M Wagner, Oliver Gassmann, and Jordan Mitchell. "RHI Magnesita (B): Brick by Brick—Diversification?" Harvard Business School Supplement 724-438, April 2024.
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