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    • All HBS Web  (578)
      • Faculty Publications  (80)

      Consumer PreferencesRemove Consumer Preferences →

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      • 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; Consumer Products Industry; Consumer Products Industry; Consumer Products Industry; Consumer Products Industry; United States
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      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.)
      • August 2020 (Revised March 2021)
      • Case

      Migros Turkey: Scaling Online Operations (A)

      By: Antonio Moreno and Gamze Yucaoglu
      The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and... View Details
      Keywords: Retail; Grocery; Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Turkey
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      Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
      • June 2020
      • Case

      Agile Consumer Product Innovation with Alibaba's Tmall Innovation Center

      By: William R. Kerr, Daniel O'Connor and James Palano
      Consumer products companies were beset by changes on all sides during the 2010s. Customers were increasingly turning to ecommerce platforms rather than shopping in-store. Meanwhile, nimble, digitally-savvy competitors were gaining market share by capitalizing on the... View Details
      Keywords: Future Of Work; Retail; Ecommerce; Alibaba; Consumer Products; Innovation; Innovation and Invention; Product Development; Consumer Behavior; E-commerce; Consumer Products Industry; Consumer Products Industry; China
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      Kerr, William R., Daniel O'Connor, and James Palano. "Agile Consumer Product Innovation with Alibaba's Tmall Innovation Center." Harvard Business School Case 820-087, June 2020.
      • April 2020
      • Article

      Field Comparisons of Incentive-Compatible Preference Elicitation Techniques

      By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
      Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for... View Details
      Keywords: Incentive-compatible Elicitation; Experimental Methods; Weather Insurance; Rainfall Insurance; Agricultural Extension; Demand and Consumers
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      Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.
      • August 2019
      • Article

      When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

      By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
      Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
      Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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      Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
      • March 2019
      • Case

      HOPI: Turkey's Shopping Companion

      By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
      The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
      Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey
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      Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 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... View Details
      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
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      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.)
      • 2025
      • Working Paper

      A Preference for Revision Absent Improvement

      By: Ximena Garcia-Rada, Leslie K. John, Ed O’Brien and Michael I. Norton
      People regularly encounter revised stimuli (e.g., revised versions of products, new editions of books, tweaked recipes, and technological updates). In principle, a world of constant revision should benefit people by affording them the most up-to-date offerings. In... View Details
      Keywords: Product Change; Versioning; Expectancy Effects; Heuristics; Intuitive Processing; Product Marketing; Change; Perception; Consumer Behavior
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      Garcia-Rada, Ximena, Leslie K. John, Ed O’Brien, and Michael I. Norton. "A Preference for Revision Absent Improvement." Harvard Business School Working Paper, No. 19-087, February 2019. (Revised April 2025.)
      • August 2018
      • Article

      The Effect of Graphic Warnings on Sugary-Drink Purchasing

      By: Grant Donnelly, Laura Y. Zatz, Daniel Svirsky and Leslie John
      Governments have proposed text warning labels to decrease consumption of sugary drinks – a contributor to chronic diseases like diabetes. However, they may be less effective than more evocative, graphic warning labels. We field-tested the effectiveness of graphic... View Details
      Keywords: Policy Making; Preferences; Food; Health; Policy; Information; Labels; Consumer Behavior; Decision Making; Performance Effectiveness
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      Donnelly, Grant, Laura Y. Zatz, Daniel Svirsky, and Leslie John. "The Effect of Graphic Warnings on Sugary-Drink Purchasing." Psychological Science 29, no. 8 (August 2018): 1321–1333.
      • Article

      Brand (In)fidelity: When Flirting with the Competition Strengthens Brand Relationships

      By: Irene Consiglio, Daniella Kupor, Francesca Gino and Michael I. Norton
      We document the existence and consequences of brand flirting: a short-lived experience in which a consumer engages with and/or indulges in the alluring qualities of a brand without committing to it. We propose that brand flirting is exciting and that when consumers... View Details
      Keywords: Consumer Behavior; Brands and Branding; Emotions
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      Consiglio, Irene, Daniella Kupor, Francesca Gino, and Michael I. Norton. "Brand (In)fidelity: When Flirting with the Competition Strengthens Brand Relationships." Journal of Consumer Psychology 28, no. 1 (January 2018): 5–22.
      • November 2017
      • Teaching Note

      Predicting Consumer Tastes with Big Data at Gap

      By: Ayelet Israeli and Jill Avery
      CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
      Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Teaching Note 518-053, November 2017.
      • November–December 2017
      • Article

      Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy

      By: Pavel Kireyev, Vineet Kumar and Elie Ofek
      Multichannel retailing has created several new strategic choices for retailers. With respect to pricing, an important decision is whether to offer a “self-matching policy,” which allows a multichannel retailer to offer the lowest of its online and store prices to... View Details
      Keywords: Price Self-matching; Multichannel Retailing; Pricing Strategy; Online Shopping; Omnichannel; Price Discrimination; Price; Strategy; Competitive Strategy
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      Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Marketing Science 36, no. 6 (November–December 2017): 908–930.
      • August 2017 (Revised March 2020)
      • Case

      Flex Hungary: Launching Production (A)

      By: Willy Shih
      This case examines design choices in the construction of flow lines. Flow lines are a popular way of arranging production because they are simple and inherently efficient. Equipment or workstations are arranged according to the sequence of steps in which a product is... View Details
      Keywords: Manufacturing; Line-balancing; Flow Line; Conveyor-paced Line; Consumer Goods; Consumer Products; Production Management; Production Planning; Production Scheduling; Operations; Production; Management; Supply Chain; Design; Analysis; Goods and Commodities; Consumer Products Industry; Consumer Products Industry; European Union
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      Shih, Willy. "Flex Hungary: Launching Production (A)." Harvard Business School Case 618-002, August 2017. (Revised March 2020.)
      • Summer 2017
      • Article

      Measuring Consumer Preferences for Video Content Provision via Cord-Cutting Behavior

      By: Jeffrey Prince and Shane Greenstein
      The television industry is undergoing a generational shift in structure; however, many demand-side determinants are still not well understood. We model how consumers choose video content provision among over-the-air (OTA), paid subscription to cable or satellite, and... View Details
      Keywords: Information Technology; Service Delivery; Consumer Behavior; Television Entertainment; Service Industry; Media and Broadcasting Industry
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      Prince, Jeffrey, and Shane Greenstein. "Measuring Consumer Preferences for Video Content Provision via Cord-Cutting Behavior." Journal of Economics & Management Strategy 26, no. 2 (Summer 2017): 293–317.
      • May 2017 (Revised March 2018)
      • Case

      Predicting Consumer Tastes with Big Data at Gap

      By: Ayelet Israeli and Jill Avery
      CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
      Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Consumer Products Industry; Consumer Products Industry; Consumer Products Industry; Consumer Products Industry; United States; Canada; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
      • December 2016 (Revised March 2017)
      • Case

      Beingmate

      By: David E. Bell, Juan Ma and Natalie Kindred
      Founded in 2002, Hangzhou, China–based Beingmate was a major producer of infant formula and related products in the high-demand Chinese market. After an infamous 2008 food safety episode in China, in which toxic infant formula sickened thousands of babies and led to... View Details
      Keywords: Marketing Strategy; Competitive Strategy; Partners and Partnerships; Food and Beverage Industry; China
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      Bell, David E., Juan Ma, and Natalie Kindred. "Beingmate." Harvard Business School Case 517-050, December 2016. (Revised March 2017.)
      • August 2016
      • Article

      The Role of (Dis)similarity in (Mis)predicting Others' Preferences

      By: Kate Barasz, Tami Kim and Leslie K. John
      Consumers readily indicate liking options that appear dissimilar—for example, enjoying both rustic lake vacations and chic city vacations or liking both scholarly documentary films and action-packed thrillers. However, when predicting other consumers’ tastes for the... View Details
      Keywords: Perceived Similarity; Prediction Error; Preference Prediction; Self-other Difference; Social Inference; Cognition and Thinking; Perception; Forecasting and Prediction
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      Barasz, Kate, Tami Kim, and Leslie K. John. "The Role of (Dis)similarity in (Mis)predicting Others' Preferences." Journal of Marketing Research (JMR) 53, no. 4 (August 2016): 597–607.
      • June 2016
      • Case

      Macy's Reinvents Its Millennial Business

      By: Boris Groysberg and Sarah L. Abbott
      Molly Langenstein, Macy’s executive vice president for fashion and new business development, and members of Macy’s senior team were rethinking the company’s approach to serving millennial customers, customers born between the years of 1980 and 2000. To tackle this... View Details
      Keywords: Marketing; Marketing Strategy; Age; Organizational Structure; Organizational Culture; Business Processes; Fashion Industry; Retail Industry
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      Groysberg, Boris, and Sarah L. Abbott. "Macy's Reinvents Its Millennial Business." Harvard Business School Case 416-020, June 2016.
      • June 2016 (Revised March 2017)
      • Case

      Global Wine War 2015: New World Versus Old

      By: Christopher A. Bartlett and Sarah McAra
      This case contrasts the tradition-bound Old World wine industry with the market-oriented New World producers in the battle for the Chinese wine market in 2015. China’s wine consumption growth presented a large and fast-growing export target that was extremely... View Details
      Keywords: Competitive Advantage; Government Regulation; Industry Analysis; International Business; International Marketing; Market Entry; Exports; Business And Government Relations; China; Europe; France; Australia; Trade; Global Strategy; Governing Rules, Regulations, and Reforms; Consumer Behavior; Market Entry and Exit; Competition; Food and Beverage Industry; France; Europe; Australia; China
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      Bartlett, Christopher A., and Sarah McAra. "Global Wine War 2015: New World Versus Old." Harvard Business School Case 916-415, June 2016. (Revised March 2017.)
      • 2015
      • Working Paper

      Networks and the Macroeconomy: An Empirical Exploration

      By: Daron Acemoglu, Ufuk Akcigit and William Kerr
      The propagation of macroeconomic shocks through input-output and geographic networks can be a powerful driver of macroeconomic fluctuations. We first exposit that in the presence of Cobb-Douglas production functions and consumer preferences there is a specific pattern... View Details
      Keywords: Economic Fluctuations; Geographic Collocation; Input-output Linkages; Propagation; Shocks; Networks; Fluctuation; System Shocks; Macroeconomics
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      Acemoglu, Daron, Ufuk Akcigit, and William Kerr. "Networks and the Macroeconomy: An Empirical Exploration." Harvard Business School Working Paper, No. 16-006, July 2015.
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