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- February 2021
- Case
Emma Dench: Leadership and Ancient Rome
By: Francesca Gino and Frances X. Frei
In this multimedia case, classics scholar Emma Dench guides us in understanding leadership insights that can be captured from historical figures and works dating back to Ancient Rome. We learn the language, ideas, and patterns of behavior that are relevant to...
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Gino, Francesca, and Frances X. Frei. "Emma Dench: Leadership and Ancient Rome." Harvard Business School Multimedia/Video Case 921-702, February 2021.
- February 2021
- Case
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is...
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Keywords:
Digital Technologies;
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information;
Analytics and Data Science;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Information Technology;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Case 621-008, February 2021.
- February 2021
- Article
Platform Diffusion at Temporary Gatherings: Social Coordination and Ecosystem Emergence
By: Tommy Pan Fang, Andy Wu and David R. Clough
Software platforms create value by cultivating an ecosystem of complementary products and services. Existing explanations for how a prospective complementor chooses platforms to join assume the complementor has rich information about the range of available platforms....
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Keywords:
Innovation Ecosystems;
Technology Diffusion;
Hackathon;
Contagion;
Software Applications;
Software Development;
Software Engineering;
Technology Strategy;
Technology Adoption;
Technological Innovation;
Information Infrastructure;
Innovation Strategy;
Digital Platforms;
Network Effects;
Applications and Software;
Information Technology;
Technology Industry;
Computer Industry;
Information Technology Industry;
Video Game Industry
Fang, Tommy Pan, Andy Wu, and David R. Clough. "Platform Diffusion at Temporary Gatherings: Social Coordination and Ecosystem Emergence." Art. 1. Strategic Management Journal 42, no. 2 (February 2021): 233–272. (Lead article.)
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that...
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Keywords:
Experience;
Interdependency;
Strategic Foresight;
Crowdfunding;
Timeline;
Delay;
Forecasting;
Entrepreneurship;
Learning;
Complexity;
Forecasting and Prediction;
Product Development;
Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product...
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Keywords:
Digital Platforms;
Internet and the Web;
Knowledge Sharing;
Information Management;
Sales;
Value Creation;
Product Positioning;
Israel
Moreno, Antonio, and Danielle Golan. "Anodot: Autonomous Business Monitoring." Harvard Business School Case 621-084, January 2021.
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
"Marketing Analytics";
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- January 2021 (Revised March 2022)
- Case
Arçelik: From a Dealer Network to an Omnichannel Experience
By: Ayelet Israeli and Fares Khrais
Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in...
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Keywords:
Digital Marketing;
Bricks And Mortar;
Franchise Management;
Franchising;
Dealer Network;
Dealers;
B2B;
B2B2C;
Tradition;
Culture Change;
Cultural Adaptation;
Omnichannel;
Omnichannel Retail;
Omni-channel;
Omnichannel Retailing;
Sales Channels;
Sales Channel Development;
Channel Management;
Channels Of Distribution;
Marketplace;
Platforms;
Collaboration;
Online Channel;
Online Data;
Online Sales;
Online Shopping;
Online;
Retail;
Retailing;
Disruption;
Transformation;
Franchise Ownership;
Change Management;
Partners and Partnerships;
Consumer Behavior;
Sales;
Internet and the Web;
Marketing Strategy;
Conflict and Resolution;
Conflict Management;
Organizational Culture;
Distribution Channels;
Digital Transformation;
Digital Platforms;
Electronics Industry;
Retail Industry;
Consumer Products Industry;
Turkey
Israeli, Ayelet, and Fares Khrais. "Arçelik: From a Dealer Network to an Omnichannel Experience." Harvard Business School Case 521-067, January 2021. (Revised March 2022.)
- January 2021
- Article
A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,...
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Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.
- January–February 2021
- Article
Between Home and Work: Commuting as an Opportunity for Role Transitions
By: Jon M. Jachimowicz, Julia Lee Cunningham, Bradley Staats, Francesca Gino and Jochen I. Menges
Across the globe, every workday people commute an average of 38 minutes each way, yet surprisingly little research has examined the implications of this daily routine for work-related outcomes. Integrating theories of boundary work, self-control, and work-family...
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Jachimowicz, Jon M., Julia Lee Cunningham, Bradley Staats, Francesca Gino, and Jochen I. Menges. "Between Home and Work: Commuting as an Opportunity for Role Transitions." Organization Science 32, no. 1 (January–February 2021): 64–85.
- Winter 2021
- Article
Dealmaking Disrupted: The Unexplored Power of Social Media in Negotiation
By: James K. Sebenius, Ben Cook, David A. Lax, Isaac Silberberg and Paul Levy
While social media has had profound effects in many realms, the theory and practice of negotiation have remained relatively untouched by this potent phenomenon. In this article, we survey existing research in this area and develop a broader framework for understanding...
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Sebenius, James K., Ben Cook, David A. Lax, Isaac Silberberg, and Paul Levy. "Dealmaking Disrupted: The Unexplored Power of Social Media in Negotiation." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 97–141.
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at...
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Keywords:
COVID-19;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction;
Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- 2021
- Chapter
International Business History and the Strategy of Multinational Enterprises: How History Matters
By: Geoffrey Jones and Teresa da Silva Lopes
This chapter provides an overview of the evolution of international business over the long-run as well as the strategies of MNEs. It highlights how strategies became more complex over time with MNEs moving from being coordinators of resources and managers of...
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Keywords:
Multinational;
International Business;
Internalization;
Globalization;
Theory;
Multinational Firms and Management;
Business History;
Africa;
Asia;
Europe;
Latin America;
Middle East;
North and Central America
Jones, Geoffrey, and Teresa da Silva Lopes. "International Business History and the Strategy of Multinational Enterprises: How History Matters." Chap. 2 in The Oxford Handbook of International Business Strategy, edited by Kamel Mellahi, Klaus E. Meyer, Rajneesh Narula, Irina Surdu, and Alain Verbeke. Oxford, United Kingdom: Oxford University Press, 2021.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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Keywords:
Machine Learning;
Supervised Machine Learning;
Induction;
Abduction;
Exploratory Data Analysis;
Pattern Discovery;
Decision Trees;
Random Forests;
Neural Networks;
ROC Curve;
Confusion Matrix;
Partial Dependence Plots;
AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- Article
Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development
By: Michael Beer
A normative and actionable theory of planned organizational change and development is proposed based on fifty years of engagement by the author as a scholar-consultant. Five principles are central features of the theory and practice proposed: 1) Organizations are...
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Keywords:
Consultant;
Process;
Systems;
Silence;
Organizational Change and Adaptation;
Leadership;
Learning;
Management Teams
Beer, Michael. "Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development." Journal of Change Management 21, no. 1 (2021).
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption...
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Keywords:
Machine Learning Models;
Algorithmic Recourse;
Decision Making;
Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 28 Dec 2020
- Interview
Psychological Safety and Fearless Organisations
By: Amy C. Edmondson and Vesna Lucca
In This Podcast:
• The ugly and beauty in transformational change
• Why don’t all companies create psychological safety
• Her passion to create a better workplace
• Buckminster Fuller
• The importance of system thinking
• The power... View Details
• The ugly and beauty in transformational change
• Why don’t all companies create psychological safety
• Her passion to create a better workplace
• Buckminster Fuller
• The importance of system thinking
• The power... View Details
"Psychological Safety and Fearless Organisations." Episode 112. Corporate Unplugged (podcast), December 28, 2020.
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing...
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Keywords:
Automation;
Domain Experience;
Algorithmic Aversion;
Experts;
Algorithms;
Machine Learning;
Decision-making;
Future Of Work;
Employees;
Experience and Expertise;
Decision Making;
Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
- 2020
- Other Teaching and Training Material
REMOTE—A Framework for Teaching Online
By: Ayelet Israeli
This article explains the REMOTE Teaching and Learning framework. I developed this framework to synthesize key insights and learnings about the digital classroom. Whether you are new to teaching online or have taught online before, this framework provides helpful...
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Israeli, Ayelet. "REMOTE—A Framework for Teaching Online." Harvard Business Publishing, 2020.
- December 2020
- Supplement
France Télécom (C): An Unprecedented Trial
In the C case we learn that former CEO Didier Lombard, Deputy Chief Executive Louis-Pierre Wenes, Human Resources Head Olivier Barberot and France Telecom itself were charged for institutional harassment by French authorities, a first for a CAC 40 company. In December...
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Keywords:
Human Behavior;
Human Dignity;
Human Resource Practices;
Corporate Change And Sustainability;
Corporate Culture;
Strategic Corporate Decisions;
Strategic Change;
Strategic Decision Making;
Emotion;
Management Challenges;
Corporate Accountability;
Organizational Culture;
Human Resources;
Crisis Management;
Law;
Courts and Trials;
Labor;
Labor and Management Relations;
Management Practices and Processes;
Employees;
Well-being;
Telecommunications Industry;
Europe;
European Union
Montgomery, Cynthia A., and Ashley V. Whillans. "France Télécom (C): An Unprecedented Trial." Harvard Business School Supplement 721-422, December 2020.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such...
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Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)