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- News (136)
- Research (244)
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- 2015
- Other Teaching and Training Material
Marketing Reading: Marketing Intelligence
By: Robert J. Dolan and Leslie K. John
This reading provides the basic knowledge a marketing manager needs in order to choose the right combination of research methods, as well as the best way to present research findings to stakeholders. Furthermore, this Reading shows how effective decision making hinges... View Details
Dolan, Robert J., and Leslie K. John. "Marketing Reading: Marketing Intelligence." Core Curriculum Readings Series. Harvard Business Publishing 8191, 2015.
- Article
A Case for Contextual Intelligence
By: Tarun Khanna
In this perspective, I make a case for entrepreneurs and academics alike to focus on what I have referred to elsewhere as Contextual Intelligence, the ability to understand the limits of our knowledge, and to adapt that knowledge to a context different from the one in... View Details
Keywords: Contextual Intelligence; Institutional Voids; Entrepreneurship In Emerging Markets; Knowledge Use and Leverage; Situation or Environment; Developing Countries and Economies; Entrepreneurship
Khanna, Tarun. "A Case for Contextual Intelligence." Special Issue on Leveraging India: Strategies for Global Competitiveness. Management International Review 55, no. 2 (April 2015): 181–190.
- April 2022
- Article
AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care
By: Ariel Dora Stern, Avi Goldfarb, Timo Minssen and W. Nicholson Price II
Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those... View Details
Keywords: Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning
Stern, Ariel Dora, Avi Goldfarb, Timo Minssen, and W. Nicholson Price II. "AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care." NEJM Catalyst Innovations in Care Delivery 3, no. 4 (April 2022).
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
Mills, Karen G., and Annie Dang. "Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success." In Big Data in Small Business, edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter, and Torsten Ringberg. Edward Elgar Publishing, 2021.
- January 2020
- Case
Wuxi Lead Intelligent Equipment Co., Ltd.
By: John R. Wells and Benjamin Weinstock
In 2019, Wuxi Lead Intelligent Equipment Co., Ltd. (Lead) was the largest supplier of lithium-ion rechargeable battery manufacturing equipment in the world. Based in Wuxi, China, the company generated RMB 3.9 billion ($557 million) in revenues in 2018, up from RMB 175... View Details
- February 2018
- Case
Vodafone: Managing Advanced Technologies and Artificial Intelligence
By: William R. Kerr and Emer Moloney
Vodafone was operating in the fast-moving telecommunications market where innovation and scale were key. Faced with an onslaught of technological advances—big data, automation, and artificial intelligence—CEO Vittorio Colao reflected on how he should change the... View Details
Keywords: Technological Innovation; Management; Organizational Change and Adaptation; Corporate Social Responsibility and Impact; Opportunities; Telecommunications Industry
Kerr, William R., and Emer Moloney. "Vodafone: Managing Advanced Technologies and Artificial Intelligence." Harvard Business School Case 318-109, February 2018.
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- September 2019 (Revised January 2021)
- Case
Vispera: Visual Intelligence for Retail
By: Yael Grushka-Cockayne and Gamze Yucaoglu
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the... View Details
Keywords: Computer Vision Technology; Visual Analysis; Retail; Information Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Global Strategy; Technology Industry; Retail Industry; Turkey
Grushka-Cockayne, Yael, and Gamze Yucaoglu. "Vispera: Visual Intelligence for Retail." Harvard Business School Case 620-022, September 2019. (Revised January 2021.)
- February 2007 (Revised May 2008)
- Supplement
Bancaja: Developing Customer Intelligence (B)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (B)." Harvard Business School Supplement 107-066, February 2007. (Revised May 2008.)
- September 2011
- Module Note
Orientation to Leadership Intelligence Days, 2011
By: Joshua D. Margolis and Anthony J. Mayo
Julie Bornstein, senior vice president of Sephora Direct, is seeking to double her budget for social media and other digital marketing initiatives for 2011. A number of digital efforts implemented in the past two years seem to be bearing fruit and there is a desire to... View Details
Keywords: Budgets and Budgeting; Borrowing and Debt; Investment Return; Resource Allocation; Marketing Communications; Marketing Strategy; Consumer Behavior; Online Technology; Beauty and Cosmetics Industry
Margolis, Joshua D., and Anthony J. Mayo. "Orientation to Leadership Intelligence Days, 2011." Harvard Business School Module Note 412-057, September 2011.
- February 2007 (Revised May 2007)
- Case
Bancaja: Developing Customer Intelligence (A)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (A)." Harvard Business School Case 107-055, February 2007. (Revised May 2007.)
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- 02 Jan 2019
- What Do You Think?
SUMMING UP: Do We Need an Artificial Intelligence Czar?
iStock How Should We Organize AI Oversight? There is little question about the growing importance of artificial intelligence (AI) and the need for some kind of oversight. But the debate seems to center around whether, and to what extent,... View Details
- April 2021
- Teaching Note
Wuxi Lead Intelligent Equipment Co., Ltd.
By: John R. Wells and Benjamin Weinstock
Within 20 years of launch, entrepreneur Wang Yanquing had built Wuxi Lead into the world’s largest manufacturer of equipment for manufacturing capacitors, lithium-ion batteries, and fuel cells.
The first big choice an entrepreneur faces is what sector to... View Details
The first big choice an entrepreneur faces is what sector to... View Details
- 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... View Details
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.)
- 02 May 2023
- What Do You Think?
How Should Artificial Intelligence Be Regulated—if at All?
(iStockphoto/Rost-9D) Artificial intelligence (AI) is the topic of the moment in circles ranging from science to business to religion. Its potential and implications are driven home when you see robot soccer players improve their game to... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
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... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; 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
- 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. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
is no chance of meeting it,” says Doug J. Chung, MBA Class of 1962 Associate Professor of Business Administration in the Marketing unit at Harvard Business School. "The salesperson will be discouraged, and just as unlikely to work to... View Details
Keywords: by Michael Blanding
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.