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- Faculty Publications (16)
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- February 9, 2024
- Article
Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries
By: Madalina Vlasceanu, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman and et al.
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate... View Details
Keywords: Climate Change; Motivation and Incentives; Behavior; Policy; Knowledge Sharing; Values and Beliefs
Vlasceanu, Madalina, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman, and et al. "Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries." Science Advances 10, no. 6 (February 9, 2024).
- 2023
- Working Paper
Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition
By: Timo O. Vuori and Michael L. Tushman
Based on an inductive case study, we develop an emotional-temporal process model of an incumbent’s
strategic decision making at a platform transition. We describe the senior team’s emotional response to
this transition and the impact of these emotions on their... View Details
Vuori, Timo O., and Michael L. Tushman. "Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition." Harvard Business School Working Paper, No. 23-054, March 2023.
- July 2021
- Article
How Trust and Distrust Shape Perception and Memory
By: Ann-Christin Posten and Francesca Gino
Trust is a key ingredient in decision making, as it allows us to rely on the information we receive. Although trust is usually viewed as a positive element of decision making, we suggest that its effects on memory are costly rather than beneficial. Across nine studies... View Details
Posten, Ann-Christin, and Francesca Gino. "How Trust and Distrust Shape Perception and Memory." Journal of Personality and Social Psychology 121, no. 1 (July 2021): 43–58.
- 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... View Details
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.
- November 2020
- Article
Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms
By: Daniel Trabucchi, Antonella Moretto, Tommaso Buganza and Alan MacCormack
The importance of platform‐based businesses in the modern economy is growing continuously and becoming increasingly relevant. Specifically, the deployment of digital technologies has enhanced the applicability of two‐sided business models, enabling companies to act not... View Details
Keywords: Blockchain; Two-Sided Platforms; Business Model; Innovation and Invention; Technological Innovation
Trabucchi, Daniel, Antonella Moretto, Tommaso Buganza, and Alan MacCormack. "Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms." Journal of Product Innovation Management 37, no. 6 (November 2020): 552–574.
- Article
A Theories-in-Use Approach to Building Marketing Theory
By: G. Zaltman, Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli and Wolfgang Ulaga
This article’s objective is to inspire and provide guidance on the development of marketing knowledge based on the theories-in-use (TIU) approach. The authors begin with a description of the TIU approach and compare it with other inductive and deductive research... View Details
Keywords: Building Theory; Grounded Theory; Theories-in-use; Theory Construction; Theory Development; Marketing; Knowledge; Theory
Zaltman, G., Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli, and Wolfgang Ulaga. "A Theories-in-Use Approach to Building Marketing Theory." Journal of Marketing 84, no. 1 (January 2020): 32–51.
- Article
Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness
By: Tami Kim, Kate Barasz and Leslie K. John
Given the increasingly specific ways marketers can target ads, many consumers and regulators are demanding ad transparency: disclosure of how consumers’ personal information was used to generate ads. We investigate how and why ad transparency impacts ad effectiveness.... View Details
Keywords: Digital Marketing; Customization and Personalization; Information; Trust; Performance Effectiveness
Kim, Tami, Kate Barasz, and Leslie K. John. "Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness." Journal of Consumer Research 45, no. 5 (February 2019): 906–932.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- February 2018
- Teaching Note
Still Leading Series—Issues in Transitioning to New Forms of Service Later in Life
By: Rosabeth Moss Kanter, Rakesh Khurana, James Honan and Ai-Ling Jamila Malone
The Still Leading case series includes an introductory note, “Still Leading (A): Issues in Transitioning to New Forms of Service Later in Life” and 10 supplementary cases that cover the transition of highly accomplished and prolific leaders (Hon. Robert McDonald, Hon.... View Details
- November 2017
- Article
Overcoming Institutional Voids: A Reputation-Based View of Long Run Survival
Emerging markets are characterized by underdeveloped institutions and frequent environmental shifts. Yet they also contain many firms that have survived over generations. How are firms in weak institutional environments able to persist over time? Motivated by 69... View Details
Gao, Cheng, Tiona Zuzul, Geoffrey Jones, and Tarun Khanna. "Overcoming Institutional Voids: A Reputation-Based View of Long Run Survival." Strategic Management Journal 38, no. 11 (November 2017): 2147–2167. (Video Abstract.)
- 2016
- Working Paper
Overcoming Institutional Voids: A Reputation-Based View of Long Run Survival
By: Cheng Gao, Tiona Zuzul, Geoffrey Jones and Tarun Khanna
Emerging markets are characterized by underdeveloped institutions and frequent environmental shifts. Yet they also contain many firms that have survived over generations. How are firms in weak institutional environments able to persist over time? Motivated by 69... View Details
Keywords: Institutional Voids; Intangible Resources; Business Ventures; Business or Company Management; Business History; Reputation; Emerging Markets
Gao, Cheng, Tiona Zuzul, Geoffrey Jones, and Tarun Khanna. "Overcoming Institutional Voids: A Reputation-Based View of Long Run Survival." Harvard Business School Working Paper, No. 17-060, January 2017.
- July–August 2016
- Article
Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets
By: Ayelet Israeli, Eric Anderson and Anne Coughlan
Manufacturers in many industries frequently use vertical price policies, such as minimum advertised price (MAP), to influence prices set by downstream retailers. Although manufacturers expect retail partners to comply with MAP policies, violations of MAP are common in... View Details
Keywords: Pricing Policies; Pricing; Channel Management; Legal Aspects Of Business; Price; Governance Compliance; Marketing Channels; Retail Industry
Israeli, Ayelet, Eric Anderson, and Anne Coughlan. "Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets." Marketing Science 35, no. 4 (July–August 2016): 539–564. (Lead article.)
- Article
Guilt Enhances the Sense of Control and Drives Risky Judgments
By: Maryam Kouchaki, Christopher Oveis and F. Gino
The present studies investigate the hypothesis that guilt influences risk-taking by enhancing one's sense of control. Across multiple inductions of guilt, we demonstrate that experimentally induced guilt enhances optimism about risks for the self (Study 1), preferences... View Details
Kouchaki, Maryam, Christopher Oveis, and F. Gino. "Guilt Enhances the Sense of Control and Drives Risky Judgments." Journal of Experimental Psychology: General 143, no. 6 (December 2014): 2103–2110.
- Article
Putting Patients First: Social Marketing Strategies for Treating HIV in Developing Nations
By: Zoe Chance and Rohit Deshpandé
It is more than mere coincidence that the highest rates of HIV occur in the world's poorest countries. Of the over 40 million people currently living with HIV, 95 percent are in the developing world. The first part of this paper explores the economics of HIV and... View Details
Keywords: Health Disorders; Developing Countries and Economies; Poverty; Health Care and Treatment; Social Marketing; Perspective; Customer Focus and Relationships; Profit; Africa; Asia; South America
Chance, Zoe, and Rohit Deshpandé. "Putting Patients First: Social Marketing Strategies for Treating HIV in Developing Nations." Special Issue on Metric and Interpretive Explorations of Macromarketing. Journal of Macromarketing 29, no. 3 (September 2009).
- January 2004 (Revised February 2005)
- Background Note
A Note on Methodological Fit in Management Field Research
By: Amy C. Edmondson and Stacy McManus
To use in doctoral-level management courses on the design of field research methods. Advocates the importance of fit, or internal consistency, among the different elements of a field research project. Although the scientific method provides an essential framework for... View Details
Edmondson, Amy C., and Stacy McManus. "A Note on Methodological Fit in Management Field Research." Harvard Business School Background Note 604-072, January 2004. (Revised February 2005.)