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      • Faculty Publications  (96)

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      • August 2021 (Revised November 2023)
      • Supplement

      Coats: Supply Chain Challenges

      By: Willy C. Shih
      Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
      Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Apparel and Accessories Industry; Asia
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      Shih, Willy C. "Coats: Supply Chain Challenges." Harvard Business School PowerPoint Supplement 622-041, August 2021. (Revised November 2023.)
      • August 2021
      • Supplement

      Coats: Supply Chain Challenges: Spreadsheet Supplement

      By: Willy C. Shih
      Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
      Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Growth and Development Strategy; Forecasting and Prediction; Demand and Consumers; Consolidation; Apparel and Accessories Industry; Asia
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      Shih, Willy C. "Coats: Supply Chain Challenges: Spreadsheet Supplement." Harvard Business School Spreadsheet Supplement 622-702, August 2021.
      • May 2021 (Revised July 2021)
      • Case

      Coats: Supply Chain Challenges

      By: Willy C. Shih and Adina Wong
      Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
      Keywords: Inventory Management; Supply Chains; Digital; Operations; Supply Chain Management; Apparel and Accessories Industry; Asia
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      Shih, Willy C., and Adina Wong. "Coats: Supply Chain Challenges." Harvard Business School Case 621-115, May 2021. (Revised July 2021.)
      • 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
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
      • 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
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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.)
      • October 2020 (Revised March 2021)
      • Supplement

      Migros Turkey: Scaling Online Operations During COVID-19 (C)

      By: Antonio Moreno and Gamze Yucaoglu
      The case opens in August 2020 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 navigating Migros through COVID-19 and the unprecedented... View Details
      Keywords: Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Diversification; Corporate Strategy; Crisis Management; Health Pandemics; Strategic Planning; Food and Beverage Industry; Turkey
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      Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations During COVID-19 (C)." Harvard Business School Supplement 621-062, October 2020. (Revised March 2021.)
      • June 2020 (Revised May 2022)
      • Case

      Vanguard Retail Operations (A)

      By: Willy C. Shih and Antonio Moreno
      The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details
      Keywords: Pooling; Generalist Model; Specialist Model; Operations; Service Operations; Management; Job Design and Levels; Financial Services Industry; United States
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      Shih, Willy C., and Antonio Moreno. "Vanguard Retail Operations (A)." Harvard Business School Case 620-104, June 2020. (Revised May 2022.)
      • June 2020 (Revised August 2020)
      • Supplement

      Vanguard Retail Operations (B)

      By: Willy C. Shih and Antonio Moreno
      The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details
      Keywords: Pooling; Generalist Model; Specialist Model; Service Operations; Management; Financial Services Industry; United States
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      Shih, Willy C., and Antonio Moreno. "Vanguard Retail Operations (B)." Harvard Business School Supplement 620-105, June 2020. (Revised August 2020.)
      • June 2020 (Revised February 2021)
      • Case

      Accounting for Leases at American Airlines (A)

      By: Jonas Heese, Gerardo Pérez Cavazos and Julia Kelley
      In March 2020, as coronavirus reduced demand for air travel, an analyst was forecasting American Airlines’ (American’s) first quarter financial results. To develop a forecast, she needed to familiarize herself with Accounting Standards Update (ASU) 2016-02, “Leases... View Details
      Keywords: Accounting; Financial Reporting; Financial Statements; Finance; Governance; Corporate Accountability; Corporate Governance; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Leasing; Accounting Industry; Air Transportation Industry; North and Central America; United States
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      Heese, Jonas, Gerardo Pérez Cavazos, and Julia Kelley. "Accounting for Leases at American Airlines (A)." Harvard Business School Case 120-069, June 2020. (Revised February 2021.)
      • 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,... View Details
      Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Product; Adoption; Product Launch
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      Gourville, John. "Four Products: Predicting Diffusion (2019)." Harvard Business School Case 520-012, July 2019.
      • July 2019
      • Teaching Note

      Miroglio Fashion

      By: Sunil Gupta
      Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details
      Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
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      Gupta, Sunil. "Miroglio Fashion." Harvard Business School Teaching Note 520-007, July 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... View Details
      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
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      Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
      • 2019
      • Book

      The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power

      By: Shoshana Zuboff
      In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details
      Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation
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      Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.
      • November 2018
      • Case

      Komatsu Komtrax: Asset Tracking Meets Demand Forecasting

      By: Willy Shih, Paul Hong and YoungWon Park
      Komatsu's Komtrax system started as a way of remotely monitoring and tracking equipment for the purpose of improving operational efficiency. This case follows its evolution towards other uses including demand forecasting for its sales, marketing, and production... View Details
      Keywords: Big Data; Manufacturing; Manufacturing Industry; Data Strategy; Internet Of Things; Construction; Production; Analytics and Data Science; Strategy; Performance Efficiency; Forecasting and Prediction; Industrial Products Industry; Construction Industry; Japan
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      Shih, Willy, Paul Hong, and YoungWon Park. "Komatsu Komtrax: Asset Tracking Meets Demand Forecasting." Harvard Business School Case 619-022, November 2018.
      • August 2018
      • Case

      Four Products: Predicting Diffusion (2018)

      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,... View Details
      Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Adoption; Product Launch
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      Gourville, John. "Four Products: Predicting Diffusion (2018)." Harvard Business School Case 519-018, August 2018.
      • August 2018 (Revised September 2018)
      • Case

      Predicting Purchasing Behavior at PriceMart (A)

      By: Srikant M. Datar and Caitlin N. Bowler
      This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
      Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
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      Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
      • 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; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail 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.)
      • May 2017
      • Case

      Four Products: Predicting Diffusion (2017)

      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,... View Details
      Keywords: Diffusion Processes; Product Adoption; Forecasting and Prediction; Product; Product Launch; Marketing
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      Gourville, John. "Four Products: Predicting Diffusion (2017)." Harvard Business School Case 517-121, May 2017.
      • 2016
      • Book

      Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services

      By: Elie Ofek, Eitan Muller and Barak Libai
      This book bridges the gap between what academics know, and what innovation stakeholders—from managers, to investors, to analysts, to consumers—need to know about how new products and services are expected to perform in the marketplace. The book develops a compelling... View Details
      Keywords: Innovation; Technology Diffusion; New Products; Customer Lifetime Value; Monetization Strategy; Social Influence; Innovation Adoption; Forecasting Demand; Commercialization; Marketing Strategy; Practice; Customer Value and Value Chain; Research; Innovation and Management; Technology Adoption; Forecasting and Prediction; Product Development
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      Ofek, Elie, Eitan Muller, and Barak Libai. Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services. University of Chicago Press, 2016.
      • Winter 2016
      • Article

      Analytics for an Online Retailer: Demand Forecasting and Price Optimization

      By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
      We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
      Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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      Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
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