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    • All HBS Web  (1,139)
      • Faculty Publications  (271)

      Decision Analysis Remove Decision Analysis →

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      • July 2022
      • Case

      Call of Fiduciary Duty: Microsoft Acquires Activision

      By: Joseph Pacelli, Jonas Heese and James Barnett
      In January 2022, Microsoft announces its acquisition of the video game company Activision Blizzard, in a deal valued at $68.7 billion, which would make Microsoft the world’s third largest video game company. The deal came as Activision Blizzard faced gender pay...  View Details
      Keywords: Accounting; Goodwill Accounting; Analysis; Decision Making; Talent and Talent Management; Games, Gaming, and Gambling; Ethics; Leadership; Risk and Uncertainty; Mergers and Acquisitions; Entertainment and Recreation Industry; Video Game Industry; North America; California
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      Pacelli, Joseph, Jonas Heese, and James Barnett. "Call of Fiduciary Duty: Microsoft Acquires Activision." Harvard Business School Case 123-011, July 2022.
      • May 2022
      • Supplement

      Maestro Pizza (B): The Competition Awakens

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...  View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Saudi Arabia; Middle East
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (B): The Competition Awakens." Harvard Business School Supplement 722-400, May 2022.
      • May 2022
      • Supplement

      Maestro Pizza (C): Taking the Fight Outside

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...  View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Middle East; Saudi Arabia
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (C): Taking the Fight Outside." Harvard Business School Supplement 722-401, May 2022.
      • May 2022
      • Case

      Maestro Pizza: Coming in Hot!

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro Pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...  View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Middle East; Saudi Arabia
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza: Coming in Hot!" Harvard Business School Case 722-399, May 2022.
      • 2022
      • Working Paper

      Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge

      By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
      Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...  View Details
      Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making
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      Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
      • April 27, 2022
      • Article

      Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality

      By: Jon M. Jachimowicz, Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva and Oliver P. Hauser
      Subjective perceptions of inequality can substantially influence policy attitudes, public health metrics, and societal well-being, but the lack of consensus in the scientific community on how to best operationalize and measure these perceptions may impede progress on...  View Details
      Keywords: Equality and Inequality; Perception; Analysis
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      Jachimowicz, Jon M., Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva, and Oliver P. Hauser. "Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality." Journal of Economic Surveys (April 27, 2022).
      • March 2022
      • Article

      Sensitivity Analysis of Agent-based Models: A New Protocol

      By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
      Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such...  View Details
      Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
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      Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
      • February 2022
      • Case

      Nuritas

      By: Mitchell Weiss, Satish Tadikonda, Vincent Marie Dessain and Emer Moloney
      Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company...  View Details
      Keywords: Cash Burn; Cash Flow Analysis; Pharmaceutical Companies; Founder; Artificial Intelligence; AI; Entrepreneurship; Health Testing and Trials; Health Care and Treatment; Decision Making; Market Entry and Exit; AI and Machine Learning; Pharmaceutical Industry
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      Weiss, Mitchell, Satish Tadikonda, Vincent Marie Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022.
      • January 2022
      • Case

      Hello Heart: The Next Generation of Chronic Disease Management Apps

      By: Ariel D. Stern and Danielle Golan
      Hello Heart, a hypertension management app debated whether to go deep and cover other heart conditions, or to expand its solution to other chronic conditions.  View Details
      Keywords: Health; Health Care and Treatment; Information Technology; Mobile and Wireless Technology; Analysis; Business Startups; Transition; Customer Focus and Relationships; Customer Satisfaction; Decision Making; Demographics; Design; Entrepreneurship; Venture Capital; Technological Innovation; Growth and Development Strategy; Product Launch; Product Design; Product Development; Business Strategy; Competitive Strategy; Competitive Advantage; Customization and Personalization; Business Growth and Maturation; Business Model; Strategy; Applications and Software; Health Industry; Technology Industry; Israel; United States
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      Stern, Ariel D., and Danielle Golan. "Hello Heart: The Next Generation of Chronic Disease Management Apps." Harvard Business School Case 622-061, January 2022.
      • January 2022
      • Technical Note

      Ethical Analysis: Well-Being and Rights

      By: Nien-hê Hsieh and Christopher Diak
      This note introduces students to two central concepts for ethical analysis: well-being and rights. It illustrates ways in which they figure in managerial decisions and challenges that arise, including how to frame trade-offs across individual well-being and...  View Details
      Keywords: Ethics; Analysis; Rights; Well-being; Management Practices and Processes; Decision Making
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      Hsieh, Nien-hê, and Christopher Diak. "Ethical Analysis: Well-Being and Rights." Harvard Business School Technical Note 322-065, January 2022.
      • Article

      A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

      By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
      We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...  View Details
      Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
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      McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
      • Article

      Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

      By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
      As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...  View Details
      Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
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      Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • November 5, 2021
      • Article

      Leaders: Stop Confusing Correlation with Causation

      By: Michael Luca
      We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...  View Details
      Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
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      Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
      • 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.)
      • August 2021 (Revised July 2022)
      • Case

      Data Science at the Warriors

      By: Iavor I. Bojinov and Michael Parzen
      An introductory case for a data science course, which provides an overview of the data science pipeline.  View Details
      Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States
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      Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised July 2022.)
      • August 2021
      • Case

      Precision Paint Co.

      By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul Hamilton
      Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case.  View Details
      Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction
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      Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
      • June 2021
      • Technical Note

      Introduction to Linear Regression

      By: Michael Parzen and Paul Hamilton
      This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...  View Details
      Keywords: Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory
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      Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 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; 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 2022.)
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