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All HBS Web
(2,872)
- Faculty Publications (951)
- July 2019
- Case
Four Products: Predicting Diffusion (2019)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
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Keywords:
Diffusion Processes;
Product Adoption;
Marketing;
Forecasting and Prediction;
Demand and Consumers;
Product;
Adoption;
Product Launch
Gourville, John. "Four Products: Predicting Diffusion (2019)." Harvard Business School Case 520-012, July 2019.
- June–July 2019
- Article
A Methodology for Operationalizing Enterprise IT Architecture and Evaluating Its Modifiability
By: Robert Lagerström, Alan MacCormack, David Dreyfus and Carliss Y. Baldwin
Recent contributions to information systems theory suggest that the primary role of a firm’s information technology (IT) architecture is to facilitate, and therefore ensure the continued alignment of a firm’s IT investments with a constantly changing business...
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Keywords:
Enterprise Architecture;
Modularity;
Information Systems;
Modifiability;
Design Structure Matrix
Lagerström, Robert, Alan MacCormack, David Dreyfus, and Carliss Y. Baldwin. "A Methodology for Operationalizing Enterprise IT Architecture and Evaluating Its Modifiability." Complex Systems Informatics and Modeling Quarterly 19 (June–July 2019): 75–98.
- July 2019
- Case
Autonomous Vehicles: Smooth or Bumpy Ride Ahead?
By: Elie Ofek and Akhil Waghmare
In early 2019, transportation was set to undergo a major transformation with the advent of autonomous vehicles (AVs), also referred to as driverless cars, which were nearing completion from an R&D and testing phase. Yet many questions remained open regarding exactly...
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Keywords:
Transportation;
Technological Innovation;
Disruptive Innovation;
Transformation;
Technology Adoption;
Business Model;
Governing Rules, Regulations, and Reforms;
Transportation Industry;
Auto Industry
Ofek, Elie, and Akhil Waghmare. "Autonomous Vehicles: Smooth or Bumpy Ride Ahead?" Harvard Business School Case 520-008, July 2019.
- July 2019
- Article
Market Reaction to Mandatory Nonfinancial Disclosure
By: Jody Grewal, Edward J. Riedl and George Serafeim
We examine the equity market reaction to events associated with the passage of a directive in the European Union (EU) mandating increased nonfinancial disclosure. These disclosures relate to firms’ environmental, social, and governance (ESG) performance and would be...
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Keywords:
Nonfinancial Information;
Nonfinancial Performance;
ESG;
ESG (Environmental, Social, Governance) Performance;
Investor Behavior;
Disclosure;
Disclosure Regulation;
Regulation;
Sustainability;
Corporate Performance;
Information;
Corporate Disclosure;
Governing Rules, Regulations, and Reforms;
Performance;
Environmental Sustainability;
Corporate Governance;
Outcome or Result
Grewal, Jody, Edward J. Riedl, and George Serafeim. "Market Reaction to Mandatory Nonfinancial Disclosure." Management Science 65, no. 7 (July 2019): 3061–3084.
- July 2019
- Teaching Note
Miroglio Fashion
By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072.
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- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed...
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John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- 2010
- Article
I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity
By: Julian Zlatev
What characteristics of an individual signal trustworthiness to other people? I propose that individuals who care about contentious social issues signal to observers that they have integrity and thus can be trusted. Critically, this signal conveys trustworthiness...
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Zlatev, Julian. "I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity." Psychological Science 30, no. 6 (June 2019): 880–892.
- May 2019
- Article
A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image
By: S. Wiley Wakeman, Celia Moore and F. Gino
In six studies, we show that after experiencing a threat to their abilities, individuals who misrepresent their performance as better than it actually is boost their feelings of competence. We situate these findings in the literature on self-protection. We show that...
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Keywords:
Cheating;
Self-perception;
Self-protection;
Competency and Skills;
Identity;
Perception;
Performance
Wakeman, S. Wiley, Celia Moore, and F. Gino. "A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image." Journal of Experimental Social Psychology 82 (May 2019): 253–265.
- March 2019 (Revised January 2021)
- Module Note
Strategic Interactions
By: Ashish Nanda
This note provides a perspective and some tools to predict and shape interactions with other players when making strategic decisions. As a strategist, you must consider that your firm’s actions evoke reactions from other players in the market and that, reciprocally,...
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Keywords:
Strategic Interaction;
Value Capture;
Strategy;
Value Creation;
Competition;
Competitive Strategy;
Education Industry
Nanda, Ashish. "Strategic Interactions." Harvard Business School Module Note 719-501, March 2019. (Revised January 2021.)
- March 2019 (Revised May 2019)
- Case
Growth Investing at Totem Point
By: Suraj Srinivasan, Charles C.Y. Wang and Jonah Goldberg
The case describes the investment of hedge fund, Totem Point Management in Analog Semiconductors (ADI) as a way to discuss forecasting and valuation in growth companies. In June 2016, hedge fund Totem Point invested in ADI at around $55 a share. In general, Totem Point...
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Srinivasan, Suraj, Charles C.Y. Wang, and Jonah Goldberg. "Growth Investing at Totem Point." Harvard Business School Case 119-091, March 2019. (Revised May 2019.)
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can...
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Keywords:
Inventory Management;
Demand Forecasting;
Artificial Intelligence;
Machine Learning;
Forecasting and Prediction;
Operations;
Management;
Decision Making;
AI and Machine Learning;
Apparel and Accessories Industry;
Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- February 2019 (Revised August 2019)
- Case
KangaTech
By: Karim R. Lakhani, Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik and Steven Randazzo
On a warm January afternoon in 2019, Steve Saunders, Dave Scerri, Carl Dilena, and Nick Haslam (see Exhibit 1 for biographies), co-founders of KangaTech, wrapped up the latest round of discussions about the future direction of their sports-technology start-up. Focused...
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Keywords:
Startup;
Technology Commercialization;
Prototype;
Business Startups;
Technological Innovation;
Sports;
Health;
Commercialization;
Research and Development;
Decision Making;
Growth and Development Strategy;
Technology Industry;
Sports Industry;
Health Industry;
Australia
Lakhani, Karim R., Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik, and Steven Randazzo. "KangaTech." Harvard Business School Case 619-049, February 2019. (Revised August 2019.)
- 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.)
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended)....
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Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even...
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Keywords:
E-commerce;
Online Retailing;
Friction;
Effor;
Search Costs;
Price Discrimination;
Consumer Behavior;
Price;
Search Technology
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.