Filter Results:
(2,887)
Show Results For
- All HBS Web
(2,887)
- News (476)
- Research (2,212)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,429)
Show Results For
- All HBS Web
(2,887)
- News (476)
- Research (2,212)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,429)
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- Web
Strategy - Faculty & Research
characteristics. It is more prevalent in service, non-tradable, and labor-intensive industries, and is especially pronounced among diversified firms. Among potential drivers, labor similarity consistently predicts intra-firm colocation,... View Details
- 2025
- Working Paper
Is Love Blind? AI-Powered Trading with Emotional Dividends
By: De-Rong Kong and Daniel Rabetti
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
- November 2022
- Article
The Sharp Spikes of Poverty: Financial Scarcity Is Related to Higher Levels of Distress Intensity in Daily Life
By: Jon M. Jachimowicz, Erin L. Frey, Sandra C. Matz, Bertus F. Jeronimus and Adam D. Galinsky
Although income is an important predictor of life satisfaction, the precise forces that drive this relationship remain unclear. We propose that financial resources afford individuals a path to reducing the distressing impact of everyday hassles, in turn increasing... View Details
Keywords: Distress; Affect; Control; Financial Scarcity; Life Satisfaction; Income; Poverty; Well-being
Jachimowicz, Jon M., Erin L. Frey, Sandra C. Matz, Bertus F. Jeronimus, and Adam D. Galinsky. "The Sharp Spikes of Poverty: Financial Scarcity Is Related to Higher Levels of Distress Intensity in Daily Life." Social Psychological & Personality Science 13, no. 8 (November 2022): 1187–1198.
- December 2021
- Article
Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly
By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use... View Details
Keywords: Negative Press; Twitter; Political Affiliation; Affect; News; Media; Internet and the Web; Emotions; Perspective; Social Media
Bellovary, Andrea, Nathaniel Young, and Amit Goldenberg. "Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly." Affective Science 2, no. 4 (December 2021): 391–396.
- Article
Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study
By: Gautam Ahuja
To assess the effects of a firm's network of relations on innovation, this paper elaborates a theoretical framework that relates three aspects of a firm's ego network-direct ties, indirect ties, and structural holes (disconnections between a firm's partners)—to the... View Details
Ahuja, Gautam. "Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study." Administrative Science Quarterly 45, no. 3 (September 2000): 425–455.
- Article
Getting the Most Out of Giving: Concretely Framing a Prosocial Goal Maximizes Happiness
By: Melanie Rudd, Jennifer Aaker and Michael I. Norton
Across six field and laboratory experiments, participants assigned a more concretely-framed prosocial goal (e.g., making someone smile or increasing recycling) felt happier and reported creating greater personal happiness after performing a goal-directed act of... View Details
Keywords: Prosocial Behavior; Goal Framing; Affective Forecasting; Goals and Objectives; Happiness; Philanthropy and Charitable Giving
Rudd, Melanie, Jennifer Aaker, and Michael I. Norton. "Getting the Most Out of Giving: Concretely Framing a Prosocial Goal Maximizes Happiness." Journal of Experimental Social Psychology 54 (September 2014): 11–24.
- 2006
- Article
Deposit Collectors
By: Nava Ashraf, Dean Karlan and Wesley Yin
Informal lending and savings institutions exist around the world, and often include regular door-to-door deposit collection of cash. Some banks have adopted similar services in order to expand access to banking services in areas that lack physical branches. Using a... View Details
Ashraf, Nava, Dean Karlan, and Wesley Yin. "Deposit Collectors." Art. 5. Special Issue on Field Experiments. Advances in Economic Analysis & Policy 6, no. 2 (2006).
- August 2013
- Article
The Price of Diversifiable Risk in Venture Capital and Private Equity
By: Michael Ewens, Charles Jones and Matthew Rhodes-Kropf
This paper explores the private equity and venture capital (VC) markets and extends the standard principal-agent problem between the investors and venture capitalist to show how it alters the interaction between the venture capitalist and the entrepreneur. Since the... View Details
Keywords: Price; Risk and Uncertainty; Venture Capital; Private Equity; Contracts; Investment; Competition; Agency Theory; Investment Return; Forecasting and Prediction; Theory; Diversification
Ewens, Michael, Charles Jones, and Matthew Rhodes-Kropf. "The Price of Diversifiable Risk in Venture Capital and Private Equity." Review of Financial Studies 26, no. 8 (August 2013): 1854–1889.
- April 2025
- Background Note
Climate Change Adaptation with Artificial Intelligence and Machine Learning
By: Michael W. Toffel and Nabig Chaudhry
Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note summarizes a wide range of the uses of AI/ML to drive climate change adaptation and resilience, the measures organizations and governments are... View Details
- 2025
- Working Paper
Unwinding Loan Prospecting Pressure Through Renegotiation: The Role of Loan Officer Changes in Debt Contracting
By: Jung Koo Kang, Regina Wittenberg Moerman and Jessie Cheong
We examine the impact of loan officer changes on debt contract design. Loan officers play a critical role in initiating and maintaining lending relationships but also face pressure to originate more loans, incentivizing them to offer loan terms more favorable than... View Details
Keywords: Financing and Loans; Borrowing and Debt; Contracts; Negotiation; Motivation and Incentives
Kang, Jung Koo, Regina Wittenberg Moerman, and Jessie Cheong. "Unwinding Loan Prospecting Pressure Through Renegotiation: The Role of Loan Officer Changes in Debt Contracting." Working Paper, March 2025.
- July 2015
- Article
Executives' 'Off-the-Job' Behaviors and Financial Reporting Risk
By: Robert Davidson, Aiyesha Dey and Abbie Smith
We examine how executives' behavior outside the workplace, as measured by their ownership of luxury goods (low “frugality”) and prior legal infractions, is related to financial reporting risk. We predict and find that chief executive officers (CEOs) and chief financial... View Details
Keywords: Management Teams; Behavior; Personal Characteristics; Crime and Corruption; Governance Compliance; Financial Reporting; Organizational Culture
Davidson, Robert, Aiyesha Dey, and Abbie Smith. "Executives' 'Off-the-Job' Behaviors and Financial Reporting Risk." Journal of Financial Economics 117, no. 1 (July 2015): 5–28.
- December 2011
- Article
CEO and Board Chair Roles: To Split or Not to Split?
By: Aiyesha Dey, Ellen Engel and Xiaohui Liu
We examine the performance and compensation implications of firms' decisions to combine the roles of CEO and board chairman (duality). We document that firms that split the CEO and chairman positions due to investor pressure have significantly lower announcement... View Details
Keywords: CEO Duality; Board Chairman; Firm Performance; Pay-performance Sensitivity; Corporate Governance; Governing and Advisory Boards; Leadership; Performance Efficiency
Dey, Aiyesha, Ellen Engel, and Xiaohui Liu. "CEO and Board Chair Roles: To Split or Not to Split?" Journal of Corporate Finance 17, no. 5 (December 2011): 1595–1618.
- Article
On Derivatives Markets and Social Welfare: A Theory of Empty Voting and Hidden Ownership
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
In the past twenty-five years, derivatives markets have grown exponentially. Large, modern derivatives markets increasingly enable investors to hold economic interests in corporations without owning voting rights, and vice versa. This leads to both empty... View Details
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "On Derivatives Markets and Social Welfare: A Theory of Empty Voting and Hidden Ownership." Virginia Law Review 99, no. 6 (October 2013): 1103–1168.
- Article
Stereotype Content Model across Cultures: Universal Similarities and Some Differences
By: A.J.C. Cuddy, S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens and M.H. Bond
The stereotype content model (SCM; Fiske, Cuddy, Glick, & Xu, 2002) proposes potentially universal principles of societal stereotypes and their relation to social structure. Here, the SCM reveals theoretically grounded, cross-cultural, cross-groups' similarities and... View Details
Keywords: Cross-Cultural and Cross-Border Issues; Management Analysis, Tools, and Techniques; Relationships; Groups and Teams; Prejudice and Bias; Culture; Societal Protocols; East Asia; Europe
Cuddy, A.J.C., S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens, and M.H. Bond. "Stereotype Content Model across Cultures: Universal Similarities and Some Differences." British Journal of Social Psychology 48, no. 1 (March 2009).
- 24 Apr 2019
- HBS Seminar
Dimitris Papanikolaou, Kellogg School of Management, Northwestern University
- Research Summary
Board Independence and the Design of Executive Compensation
In this project, I analyze the compensation
decisions of boards of directors. Compensation decisions not only serve to motivate executives, but also
affect a board's reputation for independence. Although greater managerial influence over
the board has the obvious... View Details
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.