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Show Results For
- All HBS Web
(11,305)
- People (74)
- News (2,860)
- Research (3,810)
- Events (45)
- Multimedia (240)
- Faculty Publications (2,374)
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- 21 Aug 2019
- Research & Ideas
What Machine Learning Teaches Us about CEO Leadership Style
CEOs are communicators. Studies show that CEOs spend 85 percent of their time in communication-related activities, including speeches, meetings, and phone calls with people both inside and outside the firm. Now, new research using machine... View Details
Keywords: by Michael Blanding
- 19 Jun 2017
- Working Paper Summaries
Learning to Manage: A Field Experiment in the Indian Startup Ecosystem
- Article
The Price Impact of Joining a Currency Union: Evidence from Latvia
By: Alberto Cavallo, Brent Neiman and Roberto Rigobon
Does membership in a currency union matter for a country’s international relative prices? The answer to this question is critical for thinking about the implications of joining (or exiting) a common currency area. This paper is the first to use high-frequency... View Details
Cavallo, Alberto, Brent Neiman, and Roberto Rigobon. "The Price Impact of Joining a Currency Union: Evidence from Latvia." IMF Economic Review 63, no. 2 (September 2015): 281–297.
- March 27, 2017
- Article
How the Water Industry Learned to Embrace Data
By: Frank V. Cespedes and Amir Peleg
Most current talk about “big data” seems to assume the disintermediation or replacement of physical assets by digital technologies. But a bigger and more impactful trend is the use of online tools to improve physical asset utilization in many traditional off-line... View Details
Keywords: Information Technology; Analytics and Data Science; Organizational Change and Adaptation; Utilities Industry
Cespedes, Frank V., and Amir Peleg. "How the Water Industry Learned to Embrace Data." Harvard Business Review (website) (March 27, 2017).
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2005
- Chapter
Learning for Leadership: The 'Engineering' and 'Clinical' Approaches
Meaningful leadership development requires a deeper and more fundamental approach than is usually deployed in university classrooms and corporate training centers. It needs to incorporate difficult emotions and unconscious forces, and provide a safe place for their... View Details
Petriglieri, Gianpiero, and Jack D. Wood. "Learning for Leadership: The 'Engineering' and 'Clinical' Approaches." In Mastering Executive Education: How to Combine Content with Context and Emotion, edited by Paul J. Strebel and Tracy Keys, 140–154. London: Financial Times Prentice Hall, 2005.
- September 10, 2020
- Editorial
Today's Awkward Zoom Classes Could Bring a New Era of Higher Education
By: D. L. Spar
Spar, D. L. "Today's Awkward Zoom Classes Could Bring a New Era of Higher Education." EdSurge (September 10, 2020).
- July – August 2011
- Article
Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units
By: I. M. Nembhard and A. L. Tucker
Dynamic service settings-characterized by workers who interact with customers to deliver services in a rapidly changing, uncertain, and complex environment (e.g., hospitals)-play an important role in the economy. Organizational learning studies in these settings have... View Details
Keywords: Experience and Expertise; Customer Focus and Relationships; Learning; Health Care and Treatment; Service Delivery; Performance Improvement; Quality; Groups and Teams; Cooperation; Health Industry
Nembhard, I. M., and A. L. Tucker. "Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units." Organization Science 22, no. 4 (July–August 2011): 907–922.
- March 2019
- Article
Consuming Together (versus Separately) Makes the Heart Grow Fonder
By: Ximena Garcia-Rada, Lalin Anik and Dan Ariely
Across three studies, we investigate how consumers in romantic relationships make decisions when choosing an item to share with their partner. We show that consumers will forgo their preferred alternative for an option that is more aligned with the preferences of their... View Details
Keywords: Shared Consumption; Close Relationships; Conflicting Preferences; Spending; Decision Making; Relationships; Motivation and Incentives
Garcia-Rada, Ximena, Lalin Anik, and Dan Ariely. "Consuming Together (versus Separately) Makes the Heart Grow Fonder." Marketing Letters 30, no. 1 (March 2019): 27–43.
- 2024
- Working Paper
Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning
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
Krieger, Joshua L. "Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning." Harvard Business School Working Paper, No. 25-031, December 2024.
- 15 Feb 2012
- Working Paper Summaries
Learning from My Success and From Others’ Failure: Evidence from Minimally Invasive Cardiac Surgery
- 22 Mar 2021
- Research & Ideas
How to Learn from the Big Mistake You Almost Make
What if businesses could learn from their worst mistakes without actually making them? How might the same progress and innovation occur, without firms incurring the costs associated with such errors? The results View Details
- 2021
- Working Paper
Once Bitten, Twice Shy: Learning from Corporate Fraud and Corporate Governance Spillovers
By: Trung Nguyen
This paper finds that investors learn from their experience with corporate fraud and financial misconduct and modify their investment behavior to avoid suspicious firms and increase corporate governance efforts. More specially, mutual funds that experienced corporate... View Details
Keywords: Institutional Investors; Investor Experience; Shareholder Voting; Corporate Fraud; Corporate Governance; Institutional Investing; Behavior; Change; Learning
Nguyen, Trung. "Once Bitten, Twice Shy: Learning from Corporate Fraud and Corporate Governance Spillovers." Harvard Business School Working Paper, No. 21-135, June 2021.
- 1989
- Book
When Giants Learn to Dance: Mastering the Challenges of Strategy, Management, and Careers in the 1990s
Keywords: Business History
Kanter, Rosabeth M. When Giants Learn to Dance: Mastering the Challenges of Strategy, Management, and Careers in the 1990s. New York: Simon & Schuster, 1989. (Dutch, Swedish, French, Italian, Spanish, Finnish, Korean, Japanese, Portuguese, Norwegian. Chapters 3 & 4 in Strategic Synergy, edited by S.L. Yeung. London: Butterworth Heinemann, 1982. Chapters 5 & 6 in Planning Review.)
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- 12 Oct 2022
- Research & Ideas
When Design Enables Discrimination: Learning from Anti-Asian Bias on Airbnb
Airbnb hosts of Asian descent had significantly fewer stays early in the COVID-19 pandemic—and the design of the travel site may have inadvertently enabled discrimination that shut Asians out, says new... View Details
- February 2024
- Article
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of... View Details
Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 238–252.
- Article
Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina
By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details
Keywords: Inflation Expectations; Bayesian Estimation; Inflation and Deflation; Information; Household; Behavior; Argentina
Cavallo, Alberto, Guillermo Cruces, and Ricardo Perez-Truglia. "Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina." Brookings Papers on Economic Activity (Spring 2016): 59–108.
- 2024
- Working Paper
Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance
By: Ramana Nanda
At the heart of entrepreneurial finance lies a persuasion challenge: regardless of
the strength of an entrepreneur’s belief in the potential of their idea, they typically
need to convince investors to provide the financial capital required for its... View Details
Keywords: Entrepreneurial Finance; Business Startups; Communication Intention and Meaning; Prejudice and Bias
Nanda, Ramana. "Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance." Harvard Business School Working Paper, No. 25-020, October 2024.