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- All HBS Web
(1,822)
- People (1)
- News (650)
- Research (865)
- Events (6)
- Multimedia (3)
- Faculty Publications (306)
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- 28 Mar 2017
- Working Paper Summaries
CEO Behavior and Firm Performance
- Article
Joy and Rigor in Behavioral Science
By: Hanne K. Collins, Ashley V. Whillans and Leslie K. John
In the past decade, behavioral science has seen the introduction of beneficial reforms to reduce false positive results. Serving as the motivational backdrop for the present research, we wondered whether these reforms might have unintended negative consequences on... View Details
Keywords: Open Science; Pre-registration; Exploration; Confirmation; False Positives; Career Satisfaction; Science; Research; Personal Development and Career; Satisfaction; Diversity
Collins, Hanne K., Ashley V. Whillans, and Leslie K. John. "Joy and Rigor in Behavioral Science." Organizational Behavior and Human Decision Processes 164 (May 2021): 179–191.
- April 2020
- Article
CEO Behavior and Firm Performance
By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
- December 2002
- Article
Something Old, Something New: A Longitudinal Study of Search Behavior and New Product Introduction
By: Riitta Katila and Gautam Ahuja
We examine how firms search, or solve problems, to create new products. According to organizational learning research, firms position themselves in a unidimensional search space that spans a spectrum from local to distant search. Our findings in the global robotics... View Details
Keywords: Problem Solving; New Products; Organizational Learning; Uncertainty; Organizational Research; Knowledge Management; Robotics; Organizational Behavior; Organizational Effectiveness; Innovation Adoption; Strategy; Product Design; Business Processes; Product Development
Katila, Riitta, and Gautam Ahuja. "Something Old, Something New: A Longitudinal Study of Search Behavior and New Product Introduction." Academy of Management Journal 45, no. 6 (December 2002): 1183–1194.
- 18 Apr 2000
- Research & Ideas
Learning in Action
"The most effective learning strategy depends on the situation," writes David A. Garvin. "There is no stock answer, nor is there a single best approach." In Learning in Action, he illustrated the diversity... View Details
Keywords: by David A. Garvin
- 2017
- Other Teaching and Training Material
Organizational Behavior Reading: Negotiation
By: Max Bazerman, Francesca Gino and Katherine Shonk
Core Curriculum in Organizational Behavior is a series of readings that cover fundamental course material in Organizational Behavior. Readings include videos and interactive illustrations to help students master complex concepts. Managerial, executive, and... View Details
Bazerman, Max, Francesca Gino, and Katherine Shonk. "Organizational Behavior Reading: Negotiation." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8408, 2017. Electronic.
- June, 2021
- Article
Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
By: Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden and Michael Luca
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant... View Details
Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
Glaeser, Edward L., Ginger Zhe Jin, Benjamin T. Leyden, and Michael Luca. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Journal of Regional Science 61, no. 4 (June, 2021): 696–709.
- September 2018
- Article
An Exploratory Study of Product Development in Emerging Economies: Evidence from Medical Device Testing in India
By: Budhaditya Gupta and Stefan Thomke
Recent research has studied innovation in emerging economies. However, microlevel product development processes in these economies are relatively unexplored, and the mechanisms by which the emerging economy context might affect such processes are still unclear. In this... View Details
Keywords: India; Product Development; Emerging Markets; Situation or Environment; Medical Devices and Supplies Industry; India
Gupta, Budhaditya, and Stefan Thomke. "An Exploratory Study of Product Development in Emerging Economies: Evidence from Medical Device Testing in India." R&D Management 48, no. 4 (September 2018): 485–501.
- 2008
- Chapter
When Learning and Performance Are at Odds: Confronting the Tension
By: Sara Jean Singer and A. C. Edmondson
This chapter explores complexities of the relationship between learning and performance. We start with the general proposition that learning promotes performance and then describe several challenges for researchers and managers who wish to study or promote learning in... View Details
- 11 Aug 2014
- HBS Case
The Business of Behavioral Economics
specializing in the burgeoning field of behavioral economics. "Standard economic theory suggests that as long as people understand the full consequences of their actions, they tend to act in their self interest," says John. "If they want... View Details
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- Teaching Interest
Leadership and Organizational Behavior (LEAD)
Professor Bernstein taught Leadership and Organizational Behavior (LEAD) from 2013-2016 (7 sections). This course focuses on how managers become effective leaders by addressing the human side of enterprise.
The course is divided into five modules:
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- February 2004
- Article
Leader Behaviors and the Work Environment for Creativity: Perceived Leader Support
By: Teresa M. Amabile, Elizabeth A. Schatzel, Giovanni B. Moneta and Steven J. Kramer
This exploratory study investigated leader behaviors related to perceived leader support, encompassing both instrumental and socioemotional support. The study first established that leader support, proposed to be a key feature of the work environment for creativity,... View Details
Amabile, Teresa M., Elizabeth A. Schatzel, Giovanni B. Moneta, and Steven J. Kramer. "Leader Behaviors and the Work Environment for Creativity: Perceived Leader Support." Leadership Quarterly 15, no. 1 (February 2004): 5–32.
- Article
A Learning Perspective on Intraorganizational Knowledge Spill-Ins
By: James Oldroyd and Ranjay Gulati
This exploratory study examines the role of intraorganizational knowledge spill-ins in the process of inferential learning. Drawing on the notions of knowledge reliability (the creation of shared meanings) and validity (understandings of cause and effect), we explore... View Details
Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 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
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.
- January 2014
- Technical Note
Learning From Extreme Consumers
By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
- 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
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.)
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.