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  • All HBS Web  (1,371)
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Show Results For

  • All HBS Web  (1,371)
    • People  (3)
    • News  (142)
    • Research  (1,055)
    • Events  (14)
    • Multimedia  (1)
  • Faculty Publications  (485)
← Page 12 of 1,371 Results →
  • 13 Sep 2018
  • HBS Seminar

Ashley Swanson, Wharton, University of Pennsylvania

  • 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
Citation
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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.)
  • 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
Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods
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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.
  • January 2008 (Revised November 2009)
  • Case

Linear Air: Creating the Air Taxi Industry

Linear Air is an air taxi start-up established to take advantage of the emergence of Very Light Jets, which incorporate new technology that cuts jet operating costs by about 40%. Air taxis could make use of the 5400 smaller regional airports throughout the US,... View Details
Keywords: Business Model; Business Startups; Entrepreneurship; Disruptive Innovation; Product Launch; Industry Structures; Competition; Air Transportation Industry
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Tripsas, Mary, Davin Chow, Adam Prewett, and Kevin Yttre. "Linear Air: Creating the Air Taxi Industry." Harvard Business School Case 808-107, January 2008. (Revised November 2009.)
  • Research Summary

Overview

By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details

    Dennis Campbell

    Dennis W. Campbell is currently the Dwight P. Robinson Jr. Professor of Business Administration at Harvard Business School. His research and teaching activities focus broadly on how management control systems can be designed to balance short-term strategy execution... View Details

    Keywords: financial services; service industry; hotels & motels; consumer products; restaurant; manufacturing; professional services
    • April 2002
    • Article

    Internal Capital Markets and Firm-Level Compensation Incentives for Division Managers

    By: Julie Wulf
    Do multidivisional firms structure compensation contracts for division managers to mitigate incentive problems in their internal capital markets? I find evidence that compensation and investment incentives are substitutes: firms providing a stronger link to firm... View Details
    Keywords: Capital Markets; Executive Compensation; Capital Budgeting; Motivation and Incentives; Profit; Decisions; Resource Allocation; Performance; Investment; Contracts
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    Wulf, Julie. "Internal Capital Markets and Firm-Level Compensation Incentives for Division Managers." Journal of Labor Economics 20, no. 2 (April 2002): S219–S262.
    • December 2024
    • Article

    Are Bankruptcy Professional Fees Excessively High?

    By: Samuel Antill
    Chapter 7 is the most popular bankruptcy system for U.S. firms and individuals. Chapter 7 professional fees are substantial. Theoretically, high fees might be an unavoidable cost of incentivizing professionals. I test this empirically. I study trustees, the most... View Details
    Keywords: Insolvency and Bankruptcy; Motivation and Incentives; Policy
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    Antill, Samuel. "Are Bankruptcy Professional Fees Excessively High?" Review of Financial Studies 37, no. 12 (December 2024): 3595–3647. (RFS Rising Scholar Best Paper Award; Lead Article and Editor's Choice.)
    • 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
    Citation
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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.
    • 2023
    • Other Article

    The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

    By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
    Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
    Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
    Citation
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    Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
    • 2019
    • Article

    Brokerage and Brokering: An Integrative Review and Organizing Framework for Third Party Influence

    By: Nir Halevy, Eliran Halali and Julian Zlatev
    Brokerage and brokering are pervasive and consequential organizational phenomena. Prevailing models underscore social structure and focus on the consequences that come from brokerage—occupying a bridging position between disconnected others in a network. By contrast,... View Details
    Keywords: Brokerage; Brokering; Social Interactions; Organizations; Relationships; Power and Influence; Framework
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    Halevy, Nir, Eliran Halali, and Julian Zlatev. "Brokerage and Brokering: An Integrative Review and Organizing Framework for Third Party Influence." Academy of Management Annals 13, no. 1 (2019): 215–239.
    • 2021
    • Working Paper

    Diagnosing Quality: Learning, Amenities, and the Demand for Health Care

    By: Achyuta Adhvaryu, Emilio Gutierrez, Anant Nyshadham and Jorge Tamayo
    We study the role of amenities in increasing demand for underutilized healthcare services. We evaluate the offer of a high-amenity diagnostic consultation for cataracts with a randomized price and find that a lower price for the high-amenity consultation increases... View Details
    Keywords: Health Care Demand; Amenities; Health Care Quality; Cataracts; Surgery; Health Care and Treatment; Demand and Consumers; Quality; Learning; Mexico
    Citation
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    Adhvaryu, Achyuta, Emilio Gutierrez, Anant Nyshadham, and Jorge Tamayo. "Diagnosing Quality: Learning, Amenities, and the Demand for Health Care." Harvard Business School Working Paper, No. 21-110, March 2021.
    • 28 Jan 2011
    • Working Paper Summaries

    Agglomerative Forces and Cluster Shapes

    Keywords: by William R. Kerr & Scott Duke Kominers; Technology
    • April 2019 (Revised July 2019)
    • Case

    Aperture Investors

    By: Krishna G. Palepu, George Serafeim and David Lane
    Aperture Investors is a startup investment firm that seeks to disrupt the asset management industry through competitive differentiation by charging investors primarily when its portfolio managers outperform the marketplace. Headed by Wall Street veteran Peter Kraus and... View Details
    Keywords: Business Model; Talent and Talent Management; Investment; Investment Funds; Asset Management; Recruitment; Selection and Staffing; Marketing Channels; Emerging Markets; Partners and Partnerships; Motivation and Incentives; Financial Services Industry
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    Palepu, Krishna G., George Serafeim, and David Lane. "Aperture Investors." Harvard Business School Case 119-053, April 2019. (Revised July 2019.)
    • June 2010 (Revised August 2011)
    • Case

    Tennant Company: Innovating Within and Beyond the Core

    By: Lynda M. Applegate, Toby E. Stuart and James Weber
    Tennant, a leading producer of floor cleaning equipment, must determine the business model to use for its new chemical-free cleaning technology. In 2005, Tennant Company had developed an innovative, environmentally friendly cleaning technology that could potentially... View Details
    Keywords: Business Model; Business Startups; Corporate Entrepreneurship; Disruptive Innovation; Organizational Structure; Business Strategy; Value Creation; Consumer Products Industry; Industrial Products Industry
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    Applegate, Lynda M., Toby E. Stuart, and James Weber. "Tennant Company: Innovating Within and Beyond the Core." Harvard Business School Case 810-139, June 2010. (Revised August 2011.)
    • August 2009 (Revised July 2010)
    • Case

    Jones Lang LaSalle: Reorganizing around the Customer (2005)

    By: Ranjay Gulati and Lucia Menzer Marshall
    Peter Roberts, CEO of Jones, Lang, LaSalle (JLL) Americas division, has been charged with expanding the company's presence in its core geographic markets while simultaneously growing its corporate account business. Roberts and his task force have narrowed their options... View Details
    Keywords: Decision Choices and Conditions; Global Strategy; Growth and Development Strategy; Organizational Structure; Business Strategy; Real Estate Industry
    Citation
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    Gulati, Ranjay, and Lucia Menzer Marshall. "Jones Lang LaSalle: Reorganizing around the Customer (2005)." Harvard Business School Case 410-007, August 2009. (Revised July 2010.)
    • 2021
    • Article

    Fair Algorithms for Infinite and Contextual Bandits

    By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
    We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details
    Keywords: Algorithms; Bandit Problems; Fairness; Mathematical Methods
    Citation
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    Joseph, Matthew, Michael J Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Fair Algorithms for Infinite and Contextual Bandits." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
    • 2018
    • Working Paper

    Corporate Refinancing, Covenants, and the Agency Cost of Debt

    By: Daniel Green
    How valuable are restrictive debt covenants in reducing the agency costs of debt? I exploit the revealed preference decision to refinance fixed-coupon bonds, which weighs observable interest rate savings against the unobservable costs of a change in restrictive... View Details
    Keywords: Covenants; Refinancing; Corporate Bonds; Agency Costs; Debt Policy; Borrowing and Debt; Bonds; Interest Rates
    Citation
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    Green, Daniel. "Corporate Refinancing, Covenants, and the Agency Cost of Debt." Working Paper, 2018. (Revise and Resubmit, Journal of Finance.)
    • 2020
    • Working Paper

    Sticky Capital Controls

    By: Miguel Acosta-Henao, Laura Alfaro and Andres Fernandez
    There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details
    Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics
    Citation
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    Acosta-Henao, Miguel, Laura Alfaro, and Andres Fernandez. "Sticky Capital Controls." NBER Working Paper Series, No. 26997, April 2020.
    • May–June 2018
    • Article

    Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations

    By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
    Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
    Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
    Citation
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    Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)
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