Publications
Publications
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- All HBS Web
(1,828)
- Faculty Publications (179)
- November–December 2019
- Article
Head, Heart or Hands: How Do Employees Respond to a Radical Global Language Change Over Time?
By: Sebastian Reiche and Tsedal Neeley
To understand how recipients respond to radical change over time across cognitive, affective, and behavioral dimensions, we conducted a longitudinal study of a mandated language change at a Chilean subsidiary of a large U.S. multinational organization. The... View Details
Keywords: Language; Communication; Change; Employees; Attitudes; Emotions; Globalized Firms and Management
- September 2019
- Supplement
Legal Time Case – Video Short 1
By: Christine L Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- September 2019
- Supplement
Legal Time Case – Video Short 2
By: Christine L Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
- Article
How to (Inadvertently) Sabotage Your Organization
By: Stefan Thomke
Some of the biggest threats to organizational performance can and do come from within. In an age when companies are told to be agile, to learn from experiments, and to be entrepreneurial, we are still vulnerable to actions — deliberate or unintentional — that stem from... View Details
- August 2019
- Supplement
Legal Time - Confidential Information for the Defense Attorney (Drew Davis)
By: Christine L. Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- August 2019
- Supplement
Legal Time - Confidential Information for the Prosecution (AUSA Prescott)
By: Christine L. Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- August 2019 (Revised September 2019)
- Teaching Note
Legal Time Case
By: Christine L. Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- August 2019
- Case
Legal Time Case
By: Christine L. Exley, Katherine B. Coffman and Joshua Schwartzstein
Legal Time is a two-party dynamic negotiation simulation. Students take the role of either the prosecution or the defense in a case that centers on a client who has been accused of spear-heading a conspiracy to commit wire fraud. This conflict-resolution scenario gives... View Details
Keywords: Conflict Resolution; Time Stress; Negotiation; Conflict and Resolution; Fairness; Learning
- May–June 2019
- Article
U-Shaped Conformity in Online Social Networks
By: Monic Sun, Michael Zhang and Feng Zhu
We explore how people balance their needs to belong and to be different from their friends by studying their choices of a virtual-house wall color on a leading Chinese social-networking site. The setting enables us to randomize both the popular color and the adoption... View Details
- March–April 2019
- Article
The Future of Leadership Development
By: Das Narayandas and Mihnea Moldoveanu
The need for leadership development has never been more urgent. Companies of all sorts realize that to survive in today’s volatile, uncertain, complex, and ambiguous environment, they need different leadership skills and organizational capabilities from those that... View Details
- 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
- 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
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
- Article
From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning
By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details
- Article
Seeker Beware: The Interpersonal Costs of Ignoring Advice
By: Hayley Blunden, Jennifer M. Logg, Alison Wood Brooks, Leslie John and Francesca Gino
Prior advice research has focused on why people rely on (or ignore) advice and its impact on judgment accuracy. We expand the consideration of advice-seeking outcomes by investigating the interpersonal consequences of advice seekers’ decisions. Across nine studies, we... View Details
- January 2019
- Article
The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases
By: Fenella Carpena, Shawn A. Cole, Jeremy Shapiro and Bilal Zia
This paper uses a large-scale field experiment in India to study attitudinal, behavioral, and cognitive constraints that can stymie the link between financial education and financial outcomes. The study complements financial education with (1) financial incentives on a... View Details
- 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
- 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