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All HBS Web
(1,745)
- Faculty Publications (179)
- 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...
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Keywords:
Conflict Resolution;
Time Stress;
Negotiation;
Conflict and Resolution;
Fairness;
Learning
Exley, Christine L., Katherine B. Coffman, and Joshua Schwartzstein. "Legal Time Case – Video Short 1." Harvard Business School Multimedia/Video Supplement 920-703, September 2019.
- 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
Exley, Christine L., Katherine B. Coffman, and Joshua Schwartzstein. "Legal Time Case – Video Short 2." Harvard Business School Multimedia/Video Supplement 920-704, September 2019.
- 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...
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Proserpio, Davide, 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. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 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...
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Keywords:
Management Practices;
Effective Managers;
Self-awareness;
CIA,;
Organizational Behavior;
Management Practices and Processes;
Organizations;
Behavior;
Performance
Thomke, Stefan. "How to (Inadvertently) Sabotage Your Organization." MIT Sloan Management Review (website) (September 4, 2019).
- 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
Exley, Christine L., Katherine B. Coffman, and Joshua Schwartzstein. "Legal Time - Confidential Information for the Defense Attorney (Drew Davis)." Harvard Business School Supplement 920-011, August 2019.
- 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
Exley, Christine L., Katherine B. Coffman, and Joshua Schwartzstein. "Legal Time - Confidential Information for the Prosecution (AUSA Prescott)." Harvard Business School Supplement 920-012, August 2019.
- 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
Exley, Christine L., Katherine B. Coffman, and Joshua Schwartzstein. "Legal Time Case." Harvard Business School Case 920-010, August 2019.
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD...
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Keywords:
Customer Journey;
Privacy;
Consumer Behavior;
Analytics and Data Science;
AI and Machine Learning;
Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- 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...
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Keywords:
Conformity;
Normative Social Influence;
Social Networks;
Field Experiment;
Social and Collaborative Networks;
Behavior;
Attitudes;
Social Media
Sun, Monic, Michael Zhang, and Feng Zhu. "U-Shaped Conformity in Online Social Networks." Marketing Science 38, no. 3 (May–June 2019): 461–480.
- 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...
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Keywords:
Talent Management;
Executive Education;
Leadership Development;
Business Education;
Management Skills;
Learning;
Online Technology
Narayandas, Das, and Mihnea Moldoveanu. "The Future of Leadership Development." Harvard Business Review 97, no. 4 (March–April 2019): 40–48. (Spotlight Talent Management.)
- 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...
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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.)
- 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...
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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.
- 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...
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- 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...
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Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 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...
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Keywords:
Emergent States;
Goal Orientation;
Open-mindedness;
Psychological Safety;
Team Learning;
Teams;
Groups and Teams;
Learning;
Goals and Objectives
Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.
- Article
Seeker Beware: The Interpersonal Costs of Ignoring Advice
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...
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Keywords:
Advice;
Advice Seeking;
Expertise;
Impression Management;
Wisdom Of Crowds;
Interpersonal Communication;
Relationships;
Behavior;
Experience and Expertise;
Perception;
Judgments;
Outcome or Result
Blunden, Hayley, Jennifer M. Logg, Alison Wood Brooks, Leslie John, and Francesca Gino. "Seeker Beware: The Interpersonal Costs of Ignoring Advice." Organizational Behavior and Human Decision Processes 150 (January 2019): 83–100.
- 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...
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Carpena, Fenella, Shawn A. Cole, Jeremy Shapiro, and Bilal Zia. "The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases." Management Science 65, no. 1 (January 2019): 346–369.
- 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...
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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.
- 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...
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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.)