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      • January 2025
      • Article

      Communication Within Firms: Evidence from CEO Turnovers

      By: Stephen Michael Impink, Andrea Prat and Raffaella Sadun
      This paper uses novel, firm-level communication measures derived from communications metadata several months before and after a CEO transition for 102 firms to study whether and how this organizational event is reflected in employees’ communication flows. We find that... View Details
      Keywords: Information; Communication; Management Succession; Organizational Change and Adaptation; Alignment
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      Impink, Stephen Michael, Andrea Prat, and Raffaella Sadun. "Communication Within Firms: Evidence from CEO Turnovers." Management Science 71, no. 1 (January 2025): 470–487.
      • 2025
      • Working Paper

      Home Sweet Home: How Much Do Employees Value Remote Work?

      By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
      We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
      Keywords: Employees; Compensation and Benefits; Satisfaction; Value; Research
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      Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
      • January 2025
      • Article

      Reducing Prejudice with Counter-stereotypical AI

      By: Erik Hermann, Julian De Freitas and Stefano Puntoni
      Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
      Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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      Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
      • 2025
      • Article

      Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

      By: Kosuke Imai and Michael Lingzhi Li
      Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
      Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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      Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
      • 2025
      • Book

      Talk: The Science of Conversation and the Art of Being Ourselves

      By: Alison Wood Brooks
      We all struggle with difficult conversations, but we're often not very good at easy ones either. Though we do it all the time, conversation is one of the most complex, demanding, and delicate of all human tasks, rife with possibilities for misinterpretation and... View Details
      Keywords: Interpersonal Communication
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      Brooks, Alison Wood. Talk: The Science of Conversation and the Art of Being Ourselves. Crown, 2025.
      • January–February 2025
      • Article

      The Double-Edged Sword of Exemplar Similarity

      By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
      We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
      Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation
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      Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • January–February 2025
      • Article

      What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value

      By: Max H. Bazerman
      Most executives leave value on the negotiating table, for two main reasons: First, many executives mistakenly believe that they’re negotiating over a fixed pie and that gains for one side necessarily mean losses for the other. Second, they focus exclusively on how to... View Details
      Keywords: Negotiation Offer; Negotiation Tactics; Value; Communication; Trust
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      Bazerman, Max H. "What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value." Harvard Business Review 103, no. 1 (January–February 2025): 71–77.
      • January–February 2025
      • Article

      Why People Resist Embracing AI

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Perception
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      De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
      • January–February 2025
      • Article

      Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
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      De Freitas, Julian. "Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them." Harvard Business Review 103, no. 1 (January–February 2025).
      • December 18, 2024
      • Article

      Is AI the Right Tool to Solve That Problem?

      By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
      While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
      Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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      Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
      • December 2024
      • Case

      5G Networks

      By: Andy Wu, Levi Stroud and Ruth Page
      This case, featuring Ajit Pai, Former Chairman of the U.S. Federal Communications Commission, explores the potential of 5G wireless networks. It illustrates how 5G works by examining its infrastructure and technological advancements. The case considers the specific... View Details
      Keywords: Investment; Technology Adoption; Technological Innovation; Infrastructure; Mobile and Wireless Technology; Technology Industry; Telecommunications Industry; United States
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      Wu, Andy, Levi Stroud, and Ruth Page. "5G Networks." Harvard Business School Multimedia/Video Case 724-865, December 2024.
      • December 2024
      • Supplement

      5G Networks (B)

      By: Andy Wu, Levi Stroud and Ruth Page
      Pre-Abstract: This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the B and C video available to students, as they may reveal key case details.

      Abstract: Featuring Ajit Pai, Former... View Details
      Keywords: Investment; Technology Adoption; Technological Innovation; Infrastructure; Mobile and Wireless Technology; Technology Industry; Telecommunications Industry; United States
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      Wu, Andy, Levi Stroud, and Ruth Page. "5G Networks (B)." Harvard Business School Multimedia/Video Supplement 724-866, December 2024.
      • December 2024
      • Technical Note

      Ethical Analysis: Complicity

      By: Nien-hê Hsieh and Matthew Souba
      This note introduces students to the concept of complicity and outlines key questions to determine whether a party is complicit in the wrong or harm caused by another. The note uses examples from the well-known case of Theranos. View Details
      Keywords: Ethics
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      Hsieh, Nien-hê, and Matthew Souba. "Ethical Analysis: Complicity." Harvard Business School Technical Note 325-076, December 2024.
      • 2025
      • Working Paper

      Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities

      By: Harsh Ketkar and Maria Roche
      The availability of financial resources significantly shapes firm innovation outcomes, especially for early-stage, innovation-focused technology firms. However, prior research has provided conflicting findings about this relationship: On the one hand, resource... View Details
      Keywords: Startups; Technology Strategy; Novelty; Unconventionality; Resource Constraints; Early Stage Firms; Business Startups; Technological Innovation; Entrepreneurial Finance
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      Ketkar, Harsh, and Maria Roche. "Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities." Harvard Business School Working Paper, No. 25-032, December 2024. (Revised February 2025.)
      • December 2024
      • Case

      Core Innovation Capital: Investing in Fintech for Good

      By: Ray Kluender, Natalia Rigol, Benjamin Roth and Nicole Tempest Keller
      In 2017, Arjan Schütte, founder of Core Innovation Capital, faced a decision on whether to invest in Hugo Insurance, an auto insurance startup. Core, an early-stage social impact VC firm, focused on “fintech for good,” by investing in financial services for low- to... View Details
      Keywords: Fintech; Venture Capital; Social Entrepreneurship; Insurance; Measurement and Metrics; Investment; Corporate Social Responsibility and Impact; Product Positioning; Financial Services Industry; Technology Industry; Insurance Industry; United States
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      Kluender, Ray, Natalia Rigol, Benjamin Roth, and Nicole Tempest Keller. "Core Innovation Capital: Investing in Fintech for Good." Harvard Business School Case 825-064, December 2024.
      • December 2024 (Revised March 2025)
      • Case

      WayCool: Addressing Food Loss

      By: Rajiv Lal and Kairavi Dey
      Headquartered in Chennai, India, WayCool started by focusing on solving the growing challenge of food losses and low farmer incomes. Dasari and Jayaraman, surprised at the amount of fruits and vegetables lost in the agricultural supply chain, set up the company with... View Details
      Keywords: Agribusiness; Entrepreneurship; Business Model; Food; Supply Chain; Loss; Expansion; Distribution Channels; Agriculture and Agribusiness Industry; Asia; India; Bangalore; Chennai
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      Lal, Rajiv, and Kairavi Dey. "WayCool: Addressing Food Loss." Harvard Business School Case 525-041, December 2024. (Revised March 2025.)
      • December 2024 (Revised January 2025)
      • Technical Note

      A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

      By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
      A note on the vocabulary, evolution, and impact of AI. View Details
      Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
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      Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
      • December 2024
      • Case

      Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

      By: Shikhar Ghosh
      In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
      Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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      Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
      • 2024
      • Working Paper

      Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning

      By: Joshua L. Krieger
      This chapter explores two distinct modes of entrepreneurial learning: assessing venture viability and choosing between alternative development paths. It introduces a framework for decomposing venture viability into technological feasibility, commercial potential and... View Details
      Keywords: Decision Making; Entrepreneurship; Growth and Development Strategy; Learning
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      Krieger, Joshua L. "Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning." Harvard Business School Working Paper, No. 25-031, December 2024.
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