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  • All HBS Web  (1,830)
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    • News  (660)
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Show Results For

  • All HBS Web  (1,830)
    • People  (1)
    • News  (660)
    • Research  (869)
    • Events  (7)
    • Multimedia  (3)
  • Faculty Publications  (311)
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  • 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
Keywords: CEOs; Management; Behavior; Organizations; Performance; Analysis
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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.
  • 28 Mar 2017
  • Working Paper Summaries

CEO Behavior and Firm Performance

Keywords: by Oriana Bandiera, Stephen Hansen, Andrea Pratt, and Raffaella Sadun
  • 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
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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.
  • 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
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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.
  • 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
Keywords: Negotiation; Negotiation Preparation; Analysis; Cross-Cultural and Cross-Border Issues
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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
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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.
  • 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
Keywords: by Michael Blanding; Food & Beverage; Health
  • 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
  • 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
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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.
  • Teaching Interest

Leadership and Organizational Behavior (LEAD)

By: Ethan S. Bernstein

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:View Details

Keywords: Leadership; Organizations; Personal Development and Career; Relationships; Communication
  • 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
Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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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.)
  • 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
Keywords: Learning; Leadership; Organizational Culture; Performance Improvement; Behavior
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Singer, Sara Jean, and A. C. Edmondson. "When Learning and Performance Are at Odds: Confronting the Tension." In Learning and Performance Matter, edited by Prem Kumar and Phil Ramsey. Singapore: World Scientific, 2008.
  • 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
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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
Keywords: Creativity; Leadership; Behavior; Working Conditions; Perception; Performance
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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
Keywords: Learning; Perspective; Knowledge; Business Units; Organizations
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Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
  • 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
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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.
  • 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
Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
  • 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
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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.)
  • 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
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Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
  • 03 Oct 2023
  • What Do You Think?

Do Leaders Learn More From Success or Failure?

do you think? Share your thoughts in the comments below. References: Amy Edmondson, Right Kind of Wrong: The Science of Failing Well (Atria Books, 2023) Amy C. Edmondson, “Psychological Safety and Learning View Details
Keywords: by James Heskett
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