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- Faculty Publications (233)
- 2025
- Working Paper
Residential Battery Storage - Reshaping the Way We Do Electricity
By: Christian Kaps and Serguei Netessine
In this paper, we aim to understand when private households invest in behind-the-meter battery storage next to rooftop solar and how those batteries impact households, the electricity market, and emissions. We answer three main research questions: 1) When do customers... View Details
Keywords: Solar Power; Energy Storage; Technology And Innovation Management; Energy; Energy Policy; Renewable Energy; Technological Innovation; Innovation and Management; Energy Industry
Kaps, Christian, and Serguei Netessine. "Residential Battery Storage - Reshaping the Way We Do Electricity." Working Paper, February 2025.
- July 2023
- Case
DayTwo: Going to Market with Gut Microbiome (Abridged)
By: Ayelet Israeli
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
- 18 Jul 2023
- Interview
Jeffrey Rayport on Product Market Fit, Profit Market Fit and Whiplash, and More
By: Jeffrey F. Rayport and Doug Levin
This episode of "Lessons from Startup Life" podcast features Jeffrey Rayport, Senior Lecturer of Business Administration at the Harvard Business School. Jeffrey specializes in teaching and researching growth-stage technology ventures and their scalability. Prior to... View Details
Keywords: Scaling And Growth; Start-up; Diversity; Equity; Inclusion; Technology; Business Startups; Product Marketing; Business Growth and Maturation
"Jeffrey Rayport on Product Market Fit, Profit Market Fit and Whiplash, and More." Lessons from a Startup Life (podcast), July 18, 2023.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- March 31, 2023
- Article
What Is the Optimal Pattern of a Customer Journey?
Even though customer experience (CX) leaders are becoming increasingly focused on optimizing their firms’ customer journeys, they face a clear challenge: Which touchpoints along the journey should they invest in? That is, which moments when the customer interacts with... View Details
De Freitas, Julian. "What Is the Optimal Pattern of a Customer Journey?" Harvard Business Review (website) (March 31, 2023).
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- March 2023
- Article
Reaching for Rigor and Relevance: Better Marketing Research for a Better World
By: Shilpa Madan, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan and Katherine White
Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. Climate change,... View Details
Keywords: COVID-19 Pandemic; Marketing; Social Issues; Corporate Social Responsibility and Impact; Business and Community Relations; Research
Madan, Shilpa, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan, and Katherine White. "Reaching for Rigor and Relevance: Better Marketing Research for a Better World." Marketing Letters 34, no. 1 (March 2023): 1–12.
- December 2022
- Article
I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure
By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits.
Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm
may rush an innovation to market in an attempt... View Details
Keywords: Innovation Management; Innovation And Strategy; Product Development Strategy; Product Introduction; Quality Control; Product Recalls; Game Theory; Market Timing; Innovation Strategy; Product Launch; Product Development
Kim, Byungyeon, Oded Koenigsberg, and Elie Ofek. "I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure." Management Science 68, no. 12 (December 2022): 8889–8908.
- December 2022
- Article
When and How Should Firms Differentiate? Quality and Advertising Decisions in a Duopoly
By: Dominique Olié Lauga, Elie Ofek and Zsolt Katona
A prominent hallmark of competitive interaction is the desire to differentiate from rivals. In this article, the authors examine under what conditions firms will differentiate through product quality versus advertising intensity. Firms select quality in a first stage,... View Details
Lauga, Dominique Olié, Elie Ofek, and Zsolt Katona. "When and How Should Firms Differentiate? Quality and Advertising Decisions in a Duopoly." Journal of Marketing Research (JMR) 59, no. 2 (December 2022): 1252–1265.
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- August 2022 (Revised June 2024)
- Exercise
How Should Netflix Add an Ad-Supported Tier?
By: Elie Ofek and Olivier Toubia
In the summer of 2022, it became clear that Netflix would introduce an ad-supported tier alongside its existing subscription plans in the near future. Speculation abounded as to the details of the new tier: How many minutes of advertising would it include? What picture... View Details
Keywords: Pricing; Television Industry; Price; Marketing Strategy; Digital Platforms; Customer Value and Value Chain; Competitive Strategy; Customer Satisfaction; Entertainment and Recreation Industry
Ofek, Elie, and Olivier Toubia. "How Should Netflix Add an Ad-Supported Tier?" Harvard Business School Exercise 523-033, August 2022. (Revised June 2024.)
- August 2022
- Exercise
Joy4Home Brands: Pricing Matters
By: Elie Ofek, Oded Koenigsberg and Marco Bertini
Joy4Home Brands, the maker of novel houseware items, was gearing up for its launch. The company would be introducing two lines: kitchenware products and storage containers. The initial go-to-market plan called for a direct to consumer (DTC) channel strategy. While... View Details
Keywords: DTC; Pricing Decisions; B2B; Product Marketing; Product Launch; Marketing Strategy; Business Model; Opportunities; Consumer Products Industry
Ofek, Elie, Oded Koenigsberg, and Marco Bertini. "Joy4Home Brands: Pricing Matters." Harvard Business School Exercise 523-709, August 2022.
- 2022
- Book
Purpose + Profit: How Business Can Lift Up the World
By: George Serafeim
The roadmap and best practices to reap the enormous value that can emerge when your business prioritizes social and environmental goals—such as climate change, diversity and inclusion, and sustainability—right alongside the pursuit of profit.
We not only... View Details
We not only... View Details
Keywords: ESG (Environmental, Social, Governance) Performance; Profitability; Business And Society; Organizations; Mission and Purpose; Goals and Objectives; Social Issues; Environmental Sustainability; Value Creation; Organizational Change and Adaptation
Serafeim, George. Purpose + Profit: How Business Can Lift Up the World. New York: HarperCollins Leadership, 2022.
- August 2022
- Article
The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices
By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits... View Details
Keywords: Choice; Purchase Intent; Privacy; Privacy Notices; Warnings; Assurances; Information Disclosure; Trust; Consumer Behavior; Spending; Decisions; Information; Communication
Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
- 2023
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
Amid public skepticism about trade, we investigate whether evidence-based information--a concise statement of a research finding--can shape preferences towards trade policy. Across survey experiments conducted over 2018-2022 on U.S. general population samples, we... View Details
Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022. (Revised October 2024. NBER Working Paper Series, No. 31240, May 2023)
- November 2021 (Revised January 2022)
- Case
Nicole M. Jones and The Hangar℠: Delta Air Lines' Global Innovation Center
By: Linda A. Hill and Emily Tedards
In 2016, Nicole M. Jones was hired to lead The Hangar, Delta Air Lines’ new innovation center in Atlanta, Georgia. Delta’s leadership had intended for The Hangar to catalyze a new approach to innovation at the company. After conducting three months of research on... View Details
Keywords: Innovation Lab; Breakthrough Innovation; Biometric Technology; Innovation and Invention; Leadership; Innovation and Management; Collaborative Innovation and Invention; Innovation Strategy; Technological Innovation; Georgia (state, US)
Hill, Linda A., and Emily Tedards. "Nicole M. Jones and The Hangar℠: Delta Air Lines' Global Innovation Center." Harvard Business School Case 422-042, November 2021. (Revised January 2022.)
- October 2021
- Case
Sparking Growth at Consumer Reports
Consumer Reports (CR) is a nonprofit organization that traditionally provided independent testing and research on consumer goods. With the need to diversify its audience and revenue streams CR partnered with market research firm Spark No. 9 to identify potential... View Details
Keywords: Nonprofit Management; Innovation; Entrepreneurship; Marketing; Social Media; Innovation and Management; Nonprofit Organizations
Wallace, Christina. "Sparking Growth at Consumer Reports." Harvard Business School Case 822-035, October 2021.
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and 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... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.