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  • 2025
  • Working Paper

Data-driven Technologies and Local Information Advantages in Small Business Lending

By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
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  • 23 May 2011
  • Op-Ed

Leading and Lagging Countries in Contributing to a Sustainable Society

Editor's note: Please see related story, Corporate Sustainability Reporting: It's Effective. To what extent companies contribute to a sustainable society is a question increasingly important, not only to the companies themselves, but also to investors, the countries... View Details
Keywords: by Robert G. Eccles & George Serafeim
  • September 2020 (Revised February 2024)
  • Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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  • 2015
  • Working Paper

Online Word of Mouth and Product Review Disagreement

By: Frank Nagle and Christoph Riedl
Studies of online word of mouth have frequently posited―but never systematically conceptualized and explored―that the level of disagreement between existing product reviews can impact the volume and the valence of future reviews. In this study we develop a theoretical... View Details
Keywords: Online Word Of Mouth; Online Communities; Viral Marketing; Online Product Reviews; Quality; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Social and Collaborative Networks; Digital Marketing; Analytics and Data Science
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  • 26 Jun 2018
  • First Look

New Research and Ideas, June 26, 2018

but this article shows it has never been true historically. Using longitudinal data on individual firms from the nineteenth century onwards, it reveals evidence of how entrepreneurs and firms with... View Details
Keywords: Dina Gerdeman
  • 21 Feb 2019
  • Blog Post

Machine Learning and Behavioral Economics

policy to work on a side interest, a machine learning tool to help small businesses identify promising business opportunities. “Google has useful information on foot-traffic patterns, plus satellite imagery and other View Details
  • 09 Oct 2018
  • First Look

New Research and Ideas, October 9, 2018

2018 Redwood City, Stanford Business Books The Gift of Global Talent: How Migration Shapes Business, Economy & Society By: Kerr, William R. Abstract—The global race for talent is on, with countries and businesses competing for the... View Details
Keywords: Dina Gerdeman
  • August 2018 (Revised October 2019)
  • Case

C3.ai—Driven to Succeed

By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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  • 07 Nov 2017
  • First Look

New Research and Ideas: November 7, 2017

Bennett, Victor Manuel, Megan Lawrence, and Raffaella Sadun Abstract—We investigate the management practices adopted by firms where the founders are also the CEOs using data... View Details
Keywords: Carmen Nobel
  • 23 Apr 2019
  • First Look

New Research and Ideas, April 23, 2019

five minutes to be matched to a driver—rather than the standard two minutes—rider cancellation rates increase, but Uber’s costs per ride are reduced. Together with data scientists, engineers, and product... View Details
Keywords: Dina Gerdeman
  • 15 May 2018
  • First Look

New Research and Ideas, May 15, 2018

suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive View Details
Keywords: Dina Gerdeman

    Eugene F. Soltes

    Eugene Soltes is a Professor of Business Administration at Harvard Business School where his work focuses on corporate integrity and risk management. His research utilizes data analytics to identify organizational cultures and compliance systems that can effectively... View Details

      Karim R. Lakhani

      Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial... View Details

      Keywords: biotechnology; communications; computer; health care; high technology; information technology industry; internet; pharmaceuticals; software; video games

        Chiara Farronato

        Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details

        • May 2024
        • Article

        Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities

        By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare
        Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details
        Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States
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        • 13 Sep 2018
        • HBS Seminar

        Nitin Joglekar, Boston University

        • May 2018 (Revised February 2019)
        • Case

        The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft

        By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb
        As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details
        Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry
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        • 2024
        • Working Paper

        Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

        By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
        Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
        Keywords: Mathematical Methods; Analytics and Data Science
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        • 2023
        • Article

        Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

        By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
        The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
        Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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        • Web

        Value-Based Health Care - Institute For Strategy And Competitiveness

        outcomes to increase patient value. Patients Participate actively in managing personal health, and, when faced with care and treatment options, seek assistance in understanding the expected outcomes. Health... View Details