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Publications

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    • All HBS Web  (561)
      • Faculty Publications  (79)

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      • May 2021
      • Supplement

      Distinct Software Dataset

      By: Das Narayandas
      Keywords: Artificial Intelligence; Marketing; AI and Machine Learning
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      Narayandas, Das. "Distinct Software Dataset." Harvard Business School Spreadsheet Supplement 521-722, May 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.)
      • April 2021
      • Case

      Distinct Software

      By: Das Narayandas, Arijit Sengupta and Jonathan Wray
      Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its... View Details
      Keywords: Artificial Intelligence; Marketing; Sales; Performance Productivity; Technological Innovation; AI and Machine Learning
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      Narayandas, Das, Arijit Sengupta, and Jonathan Wray. "Distinct Software." Harvard Business School Case 521-101, April 2021.
      • February 2021 (Revised March 2022)
      • Case

      TikTok in 2020: Super App or Supernova?

      By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
      TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
      Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
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      Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova?" Harvard Business School Case 821-087, February 2021. (Revised March 2022.)
      • 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.)
      • December 2020
      • Case

      VIA Science (A)

      By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
      • December 2020
      • Supplement

      VIA Science (B)

      By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (B)." Harvard Business School Supplement 721-368, December 2020.
      • November 2020 (Revised March 2021)
      • Case

      Sercomm: Operating in China Amid COVID-19 and Beyond

      By: Prithwiraj Choudhury, Gary P. Pisano and Bonnie Yining Cao
      The COVID-19 pandemic had forced a production cut in the factory of Sercomm, one of the world’s major telecom equipment producers, in China. The case explores and highlights the challenges that Chief Executive Officer James Wang faced: How could Sercomm recover and... View Details
      Keywords: Emerging Markets; Information Technology; Operations; Management; Health Pandemics; Strategy; Telecommunications Industry; Manufacturing Industry; China
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      Choudhury, Prithwiraj, Gary P. Pisano, and Bonnie Yining Cao. "Sercomm: Operating in China Amid COVID-19 and Beyond." Harvard Business School Case 621-005, November 2020. (Revised March 2021.)
      • April 2020
      • Teaching Note

      Tailor Brands: Artificial Intelligence-Driven Branding

      By: Jill Avery
      Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
      Keywords: Marketing; Brands and Branding; Marketing Strategy; Advertising Industry; Technology Industry; United States; North America
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      Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Teaching Note 520-103, April 2020.
      • February 2020
      • Technical Note

      Talent Management and the Future of Work

      By: William R. Kerr and Gorick Ng
      The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
      Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
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      Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
      • January–February 2020
      • Article

      Competing in the Age of AI

      By: Marco Iansiti and Karim R. Lakhani
      Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
      Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
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      Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
      • November 2019 (Revised May 2020)
      • Case

      Collibra

      By: Lynda M. Applegate, Jeffrey F. Rayport and Julia Kelley
      Founded in 2008 at Vrije Universiteit Brussels, Collibra was a data intelligence company that found product-market fit in the years after the global financial crisis when many companies were under pressure from consumers and governments to improve their data management... View Details
      Keywords: Entrepreneurship; Governance; Innovation and Invention; Technological Innovation; Markets; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Internet and the Web; Customer Focus and Relationships; Customer Satisfaction; Expansion; Information Technology Industry; Technology Industry; Europe; Belgium; Brussels; North and Central America; United States; New York (city, NY); New York (state, US)
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      Applegate, Lynda M., Jeffrey F. Rayport, and Julia Kelley. "Collibra." Harvard Business School Case 820-013, November 2019. (Revised May 2020.)
      • 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
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      Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
      • July 2019 (Revised November 2019)
      • Case

      Osaro: Picking the Best Path

      By: William R. Kerr, James Palano and Bastiane Huang
      The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details
      Keywords: Artificial Intelligence; Machine Learning; Robotics; Robots; Ecommerce; Fulfillment; Warehousing; AI; Startup; Technology Commercialization; Business Startups; Entrepreneurship; Logistics; Order Taking and Fulfillment; Information Technology; Commercialization; Learning; Complexity; Competition; E-commerce
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      Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 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.
      • December 2018
      • Case

      Choosy

      By: Jeffrey J. Bussgang and Julia Kelley
      Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages.... View Details
      Keywords: Artificial Intelligence; Algorithms; Machine Learning; Neural Networks; Instagram; Influencer; Fast Fashion; Design; Customer Satisfaction; Customer Focus and Relationships; Decision Making; Cost vs Benefits; Innovation and Invention; Brands and Branding; Product Positioning; Demand and Consumers; Supply Chain; Production; Logistics; Business Model; Expansion; Internet and the Web; Mobile and Wireless Technology; Digital Platforms; Social Media; Technology Industry; Fashion Industry; North and Central America; United States; New York (state, US); New York (city, NY)
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      Bussgang, Jeffrey J., and Julia Kelley. "Choosy." Harvard Business School Case 819-054, December 2018.
      • August 2018 (Revised October 2019)
      • Case

      C3.ai—Driven to Succeed

      By: Robert Simons and George Gonzalez
      CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
      Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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      Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
      • August 2018 (Revised October 2020)
      • Case

      Tailor Brands: Artificial Intelligence-Driven Branding

      By: Jill Avery
      Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
      Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
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      Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
      • June 2018 (Revised January 2020)
      • Case

      Voice War: Hey Google vs. Alexa vs. Siri

      By: David B. Yoffie, Liang Wu, Jodie Sweitzer, Denzil Eden and Karan Ahuja
      By early 2018, voice-controlled intelligent assistants had become a major new front in the battle between the giants of the technology sector. "Voice War" focuses on Alphabet’s strategy for Google Assistant, its entrant in the voice assistant space, and asks how the... View Details
      Keywords: Alphabet; Amazon; Apple; Strategy; Technology; Intelligent Assistants; Smart Speaker; Voice Assistants; Voice; Platform; Technology Adoption; Digital Platforms; Competitive Strategy; Product Positioning; Technology Industry
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      Yoffie, David B., Liang Wu, Jodie Sweitzer, Denzil Eden, and Karan Ahuja. "Voice War: Hey Google vs. Alexa vs. Siri." Harvard Business School Case 718-519, June 2018. (Revised January 2020.)
      • April 2018 (Revised October 2023)
      • Case

      Coco Chanel: From Fashion Icon to Nazi Agent

      By: Geoffrey Jones and Emily Grandjean
      This case describes the career of the iconic French fashion designer Coco Chanel who created a transformational business during the first half of the 20th century. Beginning in her early adulthood, Chanel leveraged relationships with acquaintances, friends, and... View Details
      Keywords: Business History; Biography; Entrepreneurship; Relationships; Brands and Branding; Ethics; Fashion Industry; Apparel and Accessories Industry
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      Jones, Geoffrey, and Emily Grandjean. "Coco Chanel: From Fashion Icon to Nazi Agent." Harvard Business School Case 318-139, April 2018. (Revised October 2023.)
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