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      • June 2023
      • Supplement

      Applied Intuition (A)

      By: Andy Wu
      Applied Intuition CEO Qasar Younis provides an overview of the automotive industry and the role of simulation software in the development of autonomous vehicles. View Details
      Keywords: Autonomous Vehicles; Software; Strategy; Competitive Strategy; Growth and Development Strategy; Valuation; Auto Industry; Technology Industry; California; Detroit
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      Wu, Andy. "Applied Intuition (A)." Harvard Business School Multimedia/Video Supplement 723-869, June 2023. (Click here to access this supplement.)
      • June 2023
      • Supplement

      Applied Intuition (B)

      By: Andy Wu
      Applied Intuition CEO Qasar Younis shares his perspective on the company's growth opportunities, the future of the autonomy industry, and his personal observations on strategy and leadership in technology. View Details
      Keywords: Autonomous Vehicles; Software; Strategy; Competitive Strategy; Growth and Development Strategy; Valuation; Auto Industry; Technology Industry; California; Detroit
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      Wu, Andy. "Applied Intuition (B)." Harvard Business School Multimedia/Video Supplement 723-870, June 2023. (Click here to access this supplement.)
      • June 2023
      • Supplement

      Clash of Two Giants Simulation Exercise

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complementary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Customer Acquisition; Platform Strategy; Technology Platform; Digital Platforms; Competitive Strategy; Network Effects
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise." Harvard Business School PowerPoint Supplement 623-717, June 2023.
      • June 2023
      • Exercise

      Clash of Two Giants Simulation Exercise Instructions

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Platform Strategies; Technology Platform; Customer Acquisition; Network Effects; Digital Platforms; Marketplace Matching; Strategy
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise Instructions." Harvard Business School Exercise 623-092, June 2023.
      • June 2023 (Revised October 2024)
      • Teaching Note

      Clash of Two Giants Simulation Exercise Teaching Note

      By: Feng Zhu
      Teaching Note for HBS Case No. 623-092. Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides—consumers and those providing applications or services—need access... View Details
      Keywords: Platform Strategy; Customer Acquisition; Technology Platform; Competitive Strategy; Network Effects; Digital Platforms; Management Skills
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      Zhu, Feng. "Clash of Two Giants Simulation Exercise Teaching Note." Harvard Business School Teaching Note 623-093, June 2023. (Revised October 2024.)
      • June 2023
      • Teaching Note

      Komatsu and Smart Construction

      By: David J. Collis
      Teaching Note for HBS Case No. 521-042. The case describes the introduction by Komatsu, the Japanese earth moving equipment manufacturer, of a new business model—Smart Construction. This replaces the one-time sale of a capital good with a software platform that... View Details
      Keywords: Strategy; Corporate Strategy; Technology Adoption; Construction Industry
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      Collis, David J. "Komatsu and Smart Construction." Harvard Business School Teaching Note 723-419, June 2023.
      • June 2023 (Revised September 2023)
      • Simulation

      Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)

      By: Sunil Gupta, Rajiv Lal and Celine Chammas
      Adobe started monitoring Annual Recurring Revenue (ARR), one of its primary metrics, when it shifted from selling its software in a box to selling the software as a subscription-based cloud service. They wanted to know when, where, and how much to invest in marketing.... View Details
      Keywords: Customer Acquisition; Customer Journey; Marketing Strategy; Marketing; Customer Focus and Relationships; Budgets and Budgeting
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      Gupta, Sunil, Rajiv Lal, and Celine Chammas. "Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)." Harvard Business School Simulation 523-714, June 2023. (Revised September 2023.) (Click here to purchase the Simulation.)
      • June 19, 2023
      • Article

      Should You Start a Generative AI Company?

      By: Julian De Freitas
      Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
      Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Applications and Software
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      De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • 2023
      • Working Paper

      Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

      By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
      Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
      Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • May 2023
      • Article

      Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings

      By: Janet Gao, Kenneth J. Merkley, Joseph Pacelli and Joseph H. Schroeder
      Ineffective internal controls over financial reporting often relates to a lack of qualified personnel with sufficient accounting and technical expertise. In this study, we examine whether firms respond to internal control failures by increasing their demand for... View Details
      Keywords: Internal Controls; Labor Demand; Accounting; Financial Reporting; Experience and Expertise; Recruitment; Competency and Skills; Corporate Finance
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      Gao, Janet, Kenneth J. Merkley, Joseph Pacelli, and Joseph H. Schroeder. "Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings." Accounting Review 98, no. 3 (May 2023): 203–228.
      • May 2023
      • Article

      Where Sales Technology (Really) Helps

      By: Frank V. Cespedes
      Interest in Sales Enablement (SE), the catch-all term for attempts to increase sales productivity with AI and other technologies, is driven by multiple factors. One is the declining costs of the tools. Also, selling is now data-hungry work and not just in tech sectors.... View Details
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      Cespedes, Frank V. "Where Sales Technology (Really) Helps." Top Sales Magazine (May 2023), 26–27.
      • April 18, 2023
      • Article

      The Rebirth of Software as a Service

      By: Frank V. Cespedes and Jacco van der Kooij
      Traditional sales models focus on customer acquisition and the “funnel” or “pipeline” metrics that dominate talk about sales. But this approach falls short when applied to a recurring revenue business, where the customer life cycle looks more like a bowtie, not a... View Details
      Keywords: Customers; Sales; Technology Industry
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      Cespedes, Frank V., and Jacco van der Kooij. "The Rebirth of Software as a Service." Harvard Business Review (website) (April 18, 2023).
      • April 2023 (Revised February 2024)
      • Case

      AI Wars

      By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang
      In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details
      Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation
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      Wu, Andy, Matt Higgins, Miaomiao Zhang, and Hang Jiang. "AI Wars." Harvard Business School Case 723-434, April 2023. (Revised February 2024.)
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
      • 2023
      • Working Paper

      Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

      By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
      We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
      Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
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      Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • March 2023
      • Teaching Note

      VideaHealth: Building the AI Factory

      By: Karim R. Lakhani
      Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
      Keywords: AI and Machine Learning; Applications and Software; Business Model; Marketing Strategy; Product Development; Health Industry; Technology Industry
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      Lakhani, Karim R. "VideaHealth: Building the AI Factory." Harvard Business School Teaching Note 623-073, March 2023.
      • March 2023 (Revised June 2023)
      • Case

      Layoffs in the Tech Industry: 2022–2023

      By: Sandra J. Sucher and Marilyn Morgan Westner
      This case examines the mass layoffs that swept through the tech industry (2022-2023) through the lens of four companies: Twitter, Stripe, Meta, and Google. How these companies implemented workforce change through mass layoffs raises critical questions applicable beyond... View Details
      Keywords: Layoffs; Human Resource Management; Workforce Reductions; Ethics; Human Resources; Management; Values and Beliefs; Employee Relationship Management; Resignation and Termination; Compensation and Benefits; Technology Industry; United States; United Kingdom
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      Sucher, Sandra J., and Marilyn Morgan Westner. "Layoffs in the Tech Industry: 2022–2023." Harvard Business School Case 323-095, March 2023. (Revised June 2023.)
      • 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
      Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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      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, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
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