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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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- 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
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...
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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.
- September 2020 (Revised March 2021)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
"marketing Analytics";
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/b Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel and Accessories Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised March 2021.)
- September 2020
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Demographics;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-level Demographic Data." Harvard Business School Exercise 521-022, September 2020.
- September 2020
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020.
- September 2020 (Revised March 2021)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Targeted Advertising;
Discrimination;
Algorithmic Data;
Bias;
Advertising;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised March 2021.)
- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- September 2020 (Revised March 2021)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- 2020
- Working Paper
Shaping Nascent Industries: Innovation Strategy and Regulatory Uncertainty in Personal Genomics
By: Cheng Gao and Rory McDonald
In nascent industries—whose new technologies are often poorly understood by regulators—contending with regulatory uncertainty can be crucial to organizational survival and growth. Prior research on nonmarket strategy largely focuses on established firms in mature...
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Keywords:
Technological Change;
Innovation;
Qualitative Methods;
Entrepreneurship;
Technological Innovation;
Governing Rules, Regulations, and Reforms;
Risk and Uncertainty;
Strategy
Gao, Cheng, and Rory McDonald. "Shaping Nascent Industries: Innovation Strategy and Regulatory Uncertainty in Personal Genomics." Harvard Business School Working Paper, No. 20-095, March 2020.
- 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...
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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.
- November–December 2019
- Article
Pivoting Isn't Enough? Managing Strategic Reorientation in New Ventures
By: Rory McDonald and Cheng Gao
New ventures often experience deviations from their plans that oblige them to reorient in pursuit of better fit between their evolving products and their target customers. Yet research is largely silent on how managers explain such changes and justify their ventures in...
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Keywords:
Strategic Reorientation;
Technology Entrepreneurship;
Innovation;
Product Development Processes;
Organizational Adaptation;
Qualitative Methods (general);
Entrepreneurship;
Technology;
Organizational Change and Adaptation;
Strategy;
Innovation and Invention;
Product Development;
Communication Strategy
McDonald, Rory, and Cheng Gao. "Pivoting Isn't Enough? Managing Strategic Reorientation in New Ventures." Organization Science 30, no. 6 (November–December 2019): 1289–1318.
- 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....
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Keywords:
Online Advertising;
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.
- March 2016
- Article
The Role of Investor Gut Feel in Managing Complexity and Extreme Risk
By: Laura Huang
Securing financial resources from investors is a key challenge for many early stage entrepreneurial ventures. Given the inherent uncertainty surrounding a decision to invest in these ventures, prior research has found that experienced investors rely heavily on their...
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Keywords:
Angel Investors;
Gut Feel;
Intuition;
Entrepreneurship;
Finance;
Risk and Uncertainty;
Complexity;
Decision Making
Huang, Laura. "The Role of Investor Gut Feel in Managing Complexity and Extreme Risk." Academy of Management Journal 61, no. 5 (October 2018): 1821–1847.
- 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.
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Keywords:
Data Science;
Data Analytics;
Decision Trees;
Investment;
Financing and Loans;
Data and Data Sets;
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....
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- November 2017
- Article
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...
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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.)
- 2018
- Working Paper
Class Matters: The Role of Social Class and Organizational Sector in High-Achieving Women's Legitimacy Narratives
By: Judith A. Clair, Kathleen L. McGinn, Beth K. Humberd, Rachel D. Arnett and Katherine Chen
While prior research recognizes that women struggle to maintain legitimacy for their successes and that self-narratives play a key role in building such legitimacy, theory provides limited insight into how women build legitimacy through their self-narratives. Our...
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Keywords:
Personal Development and Career;
Gender;
Success;
Diversity;
Perception;
Situation or Environment
Clair, Judith A., Kathleen L. McGinn, Beth K. Humberd, Rachel D. Arnett, and Katherine Chen. "Class Matters: The Role of Social Class and Organizational Sector in High-Achieving Women's Legitimacy Narratives." Harvard Business School Working Paper, No. 18-014, August 2018. (Revised August 2018 for requested resubmission.)
- 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...
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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...
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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.)