Publications

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During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility.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

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

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

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

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

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

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

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

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

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

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

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

SSRN

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

Educators