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      • March 2022
      • Teaching Note

      Camera IQ and the Metaverse: Building Augmented Reality Brand Experiences

      By: Jill Avery
      Camera IQ, a camera marketing software company that empowered brands to create and launch augmented reality experiences (AREs) across social platforms, had just raised an additional $5 million to fund further product development and expand its marketing and sales...  View Details
      Keywords: Brand Management; Virtual Reality; Augmented Reality; B2B; E-commerce; Technology Platform; Marketing; Marketing Communications; Marketing Strategy; Brands and Branding; Digital Marketing; Internet and the Web; Growth Management; Customer Relationship Management; Customer Value and Value Chain; Social Media; Applications and Software; Advertising Industry; United States
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      Avery, Jill. "Camera IQ and the Metaverse: Building Augmented Reality Brand Experiences." Harvard Business School Teaching Note 522-065, March 2022.
      • January 2022
      • Article

      Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

      By: David R. Clough and Andy Wu
      Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of...  View Details
      Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Technology Industry; Technology Industry; Technology Industry
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      Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
      • November 2021 (Revised December 2021)
      • Supplement

      PittaRosso (B): Human and Machine Learning

      By: Ayelet Israeli
      This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.  View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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      Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
      • October 2021 (Revised March 2022)
      • Supplement

      PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

      By: Ayelet Israeli and Fabrizio Fantini
      PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...  View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
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      Israeli, Ayelet, and Fabrizio Fantini. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Spreadsheet Supplement 522-710, October 2021. (Revised March 2022.)
      • October 2021 (Revised June 2022)
      • Case

      PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

      By: Ayelet Israeli
      PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...  View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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      Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
      • September 2021
      • Case

      Francoise Brougher (A)

      By: Edward H. Chang, Nour Kteily and Kathleen McGinn
      Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer...  View Details
      Keywords: Gender Discrimination; Personal Development and Career; Gender; Prejudice and Bias; Resignation and Termination; Negotiation
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      Chang, Edward H., Nour Kteily, and Kathleen McGinn. "Francoise Brougher (A)." Harvard Business School Case 922-016, September 2021.
      • September 2021
      • Article

      Network Interconnectivity and Entry into Platform Markets

      By: Feng Zhu, Xinxin Li, Ehsan Valavi and Marco Iansiti
      Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whereas in others, buyers primarily purchase services from providers within...  View Details
      Keywords: Network Interconnectivity; Platform Competition; Market Entry; Networks; Digital Platforms; Competition; Market Entry and Exit
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      Zhu, Feng, Xinxin Li, Ehsan Valavi, and Marco Iansiti. "Network Interconnectivity and Entry into Platform Markets." Information Systems Research 32, no. 3 (September 2021): 1009–1024.
      • August 2021 (Revised March 2022)
      • Case

      Camera IQ and the Metaverse: Building Augmented Reality Brand Experiences

      By: Jill Avery and Rayan Nahas
      Camera IQ, a camera marketing software company that empowered brands to create and launch augmented reality experiences (AREs) across social platforms, had just raised an additional $5 million to fund further product development and expand its marketing and sales...  View Details
      Keywords: Brand Management; Virtual Reality; Augmented Reality; B2B; Technology Platform; Marketing; Marketing Communications; Marketing Strategy; Brands and Branding; Digital Marketing; Internet and the Web; Growth Management; Customer Relationship Management; Customer Value and Value Chain; Social Media; E-commerce; Applications and Software; Advertising Industry; United States
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      Avery, Jill, and Rayan Nahas. "Camera IQ and the Metaverse: Building Augmented Reality Brand Experiences." Harvard Business School Case 522-002, August 2021. (Revised March 2022.)
      • 2021
      • Working Paper

      The Value of Data and Its Impact on Competition

      By: Marco Iansiti
      Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to...  View Details
      Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition
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      Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
      • May 2021 (Revised February 2022)
      • 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; 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 2022.)
      • April 2021
      • Article

      Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry

      By: K. Francis Park, Robert Seamans and Feng Zhu
      We examine how heterogeneity in customers’ tendencies to single-home or multi-home affects a platform’s competitive responses to new entrants in the market. We first develop a formal model to generate predictions about how a platform will respond. We then empirically...  View Details
      Keywords: Single-homing; Multi-homing; Platform Responses; Newpaper; Television; Digital Platforms; Market Entry and Exit; Newspapers; Television Entertainment; History; Journalism and News Industry; Media and Broadcasting Industry
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      Park, K. Francis, Robert Seamans, and Feng Zhu. "Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry." Strategic Management Journal 42, no. 4 (April 2021): 684–709.
      • March 2021
      • Supplement

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...  View Details
      Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Technology Industry; Technology Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
      • February 2021 (Revised May 2021)
      • Case

      SafeGraph: Selling Data as a Service

      By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover
      Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on...  View Details
      Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States
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      Nanda, Ramana, Abhishek Nagaraj, and Allison Ciechanover. "SafeGraph: Selling Data as a Service." Harvard Business School Case 821-082, February 2021. (Revised May 2021.)
      • February 2021
      • Teaching Plan

      Soofa: Displaying the Right Path?

      By: Jeffrey J. Bussgang and Amy Klopfenstein
      This teaching plan serves as a supplement to the case “Soofa: Displaying the Right Path?” HBS 820-098. The case explores the tension between two different financing and expansion plans for a startup, and explores issues related to business model pivots and industry...  View Details
      Keywords: Business Ventures; Business Model; Business Plan; Business Startups; Entrepreneurship; Decision Making; Decisions; Judgments; Ethics; Geography; Geopolitical Units; Finance; Investment; Markets; Market Entry and Exit; Demand and Consumers; Media; Society; Urban Development; Sustainable Cities; Information Technology; Information Infrastructure; Digital Platforms; Strategy; Business Strategy; Expansion; Relationships; Capital; Venture Capital; Advertising Industry; Advertising Industry; Advertising Industry; North and Central America; United States; Massachusetts; Cambridge
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      Bussgang, Jeffrey J., and Amy Klopfenstein. "Soofa: Displaying the Right Path?" Harvard Business School Teaching Plan 821-055, February 2021.
      • 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; 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.)
      • January 2021 (Revised May 2021)
      • Case

      Amazon Shopper Panel: Paying Customers for Their Data

      By: Eva Ascarza and Ayelet Israeli
      This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own...  View Details
      Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Technology Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
      • 2021
      • Working Paper

      The Value of Descriptive Analytics: Evidence from Online Retailers

      By: Ron Berman and Ayelet Israeli
      Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...  View Details
      Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Retail Industry
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      Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
      • September 2020
      • Technical Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...  View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020.
      • September 2020 (Revised December 2020)
      • Teaching Note

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...  View Details
      Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Technology Industry; Technology Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised December 2020.)
      • September 2020 (Revised March 2021)
      • Exercise

      Artea (D): Discrimination through Algorithmic Bias in Targeting

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...  View Details
      Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Technology Industry; Technology Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised March 2021.)
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