Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (446) Arrow Down
Filter Results: (446) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (1,521)
    • Faculty Publications  (446)

    Show Results For

    • All HBS Web  (1,521)
      • Faculty Publications  (446)

      data scienceRemove data science →

      ← Page 8 of 446 Results →

      Are you looking for?

      →Search All HBS Web
      • October 2021
      • Case

      CrisisReady: Private Data for Public Good

      By: Tarun Khanna and James Barnett
      In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details
      Keywords: Decision Making; Ethics; Globalization; Governance; Government and Politics; Intellectual Property; Science; Technology
      Citation
      Educators
      Related
      Khanna, Tarun, and James Barnett. "CrisisReady: Private Data for Public Good." Harvard Business School Case 722-362, October 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
      Citation
      Purchase
      Related
      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
      Citation
      Educators
      Purchase
      Related
      Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
      • October 1, 2021
      • Article

      An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

      By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
      Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
      Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
      Citation
      Read Now
      Related
      Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
      • 2021
      • Chapter

      Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success

      By: Karen G. Mills and Annie Dang
      Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
      Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
      Citation
      Purchase
      Related
      Mills, Karen G., and Annie Dang. "Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success." In Big Data in Small Business, edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter, and Torsten Ringberg. Edward Elgar Publishing, 2021.
      • September 2021 (Revised December 2021)
      • Case

      Spire, the CubeSat Revolution, and the Government as a Space Data Customer

      By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
      This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
      Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction
      Citation
      Educators
      Purchase
      Related
      Weinzierl, Matthew, Mehak Sarang, and Brendan L. Rosseau. "Spire, the CubeSat Revolution, and the Government as a Space Data Customer." Harvard Business School Case 722-013, September 2021. (Revised December 2021.)
      • Article

      Targeting Weather Insurance Markets

      By: Anita Mukherjee, Shawn Cole and Jeremy Tobacman
      The suitability of insurance products often depends greatly on individual circumstances. This paper examines the challenges of heterogeneity in a relatively new product, weather‐indexed insurance. This index insurance product has been launched in over a dozen... View Details
      Keywords: Index Insurance; Labor Markets; Self-insurance; Self-protection; Weather; Insurance; Markets; Household; Risk Management
      Citation
      Find at Harvard
      Purchase
      Related
      Mukherjee, Anita, Shawn Cole, and Jeremy Tobacman. "Targeting Weather Insurance Markets." Journal of Risk and Insurance 88, no. 3 (September 2021): 757–784.
      • August 2021 (Revised February 2024)
      • Case

      Data Science at the Warriors

      By: Iavor I. Bojinov and Michael Parzen
      The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
      Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States
      Citation
      Educators
      Purchase
      Related
      Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
      • 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
      Citation
      Educators
      Purchase
      Related
      Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
      • 2021
      • Working Paper

      How to Fix ESG Reporting

      By: Robert S. Kaplan and Karthik Ramanna
      Investors, advocacy groups, academics, and the 200 CEOs of the US Business Roundtable have asked corporations to take on an added purpose beyond a narrow pursuit of shareholder value. In response, many companies now issue ESG (Environmental, Societal, and Governance)... View Details
      Keywords: ESG Reporting; Sustainability; Corporate Purpose; Greenhouse Gas; Activity-Based Costing; Environmental Sustainability; Environmental Management; Corporate Social Responsibility and Impact; Measurement and Metrics; Goals and Objectives; Agreements and Arrangements; Corporate Accountability
      Citation
      SSRN
      Read Now
      Related
      Kaplan, Robert S., and Karthik Ramanna. "How to Fix ESG Reporting." Harvard Business School Working Paper, No. 22-005, July 2021.
      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
      Citation
      Find at Harvard
      Read Now
      Related
      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • 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; Digital Platforms
      Citation
      SSRN
      Read Now
      Related
      Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
      • July 2021
      • Article

      Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance

      By: Goran Calic and Maryam Ghasemaghaei
      Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
      Citation
      Read Now
      Related
      Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.
      • 2021
      • Article

      Decarbonizing Everything

      By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim, David Turkington and Hui (Stacie) Wang
      We analyze how the use of different climate risk measures leads to different portfolio carbon outcomes and risk-adjusted returns. Our findings are synthesized in a rules-based investment framework, which selects a different type of climate metric across industries and... View Details
      Keywords: Climate Risk; ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Disclosure Metrics; ESG Ratings; Investing; Investing For Impact; Investment Strategy; Environment; Decarbonization; Climate Change; Environmental Sustainability; Environmental Management; Environmental Accounting; Investment; Strategy; Investment Portfolio; Investment Return
      Citation
      SSRN
      Find at Harvard
      Related
      Cheema-Fox, Alex, Bridget LaPerla, George Serafeim, David Turkington, and Hui (Stacie) Wang. "Decarbonizing Everything." Financial Analysts Journal 77, no. 3 (2021): 93–108.
      • June 2021 (Revised November 2024)
      • Case

      MicroStrategy: Accounting for Cryptocurrency

      By: Jonas Heese and Annelena Lobb
      On February 15, 2021, Alina Moss, an analyst who covered the technology company MicroStrategy, pondered a rise in MicroStrategy’s share price. Moss had dialed into the company earnings call. When it ended, Moss had more questions than answers. MicroStrategy had... View Details
      Keywords: Cryptocurrency; Share Price; Electronic Commerce; Intangible Assets; Assets; Accounting; Financial Statements; Financial Management; Financial Reporting; Analytics and Data Science; E-commerce
      Citation
      Educators
      Purchase
      Related
      Heese, Jonas, and Annelena Lobb. "MicroStrategy: Accounting for Cryptocurrency." Harvard Business School Case 121-066, June 2021. (Revised November 2024.)
      • 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: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
      Citation
      Educators
      Related
      Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
      • 2021
      • Working Paper

      Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors

      By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski
      Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details
      Keywords: Impact Investing; Impact Portfolio Companies; Investment; Social Issues; Environmental Sustainability; Investment Portfolio; Business Ventures; Analytics and Data Science; Performance; United States
      Citation
      Read Now
      Related
      Burton, M. Diane, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu, and T. Robert Zochowski. "Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors." Harvard Business School Working Paper, No. 21-130, June 2021.
      • June 2021
      • Article

      Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

      By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
      We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
      Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement
      Citation
      Read Now
      Related
      Allen, Casey J., Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala, and Matthew H.G. Katz. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
      • July–August 2021
      • Article

      Why You Aren't Getting More from Your Marketing AI

      By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
      Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
      Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
      Citation
      Find at Harvard
      Related
      Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
      • May 2021
      • Simulation

      Customer Compatibility Exercise Application

      By: Ryan W. Buell
      Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details
      Keywords: Customer Compatibility; Customer Relationship Management; Strategy; Service Operations; Service Delivery; Performance Efficiency; Analysis; Consumer Behavior; Analytics and Data Science
      Citation
      Purchase
      Related
      Buell, Ryan W. "Customer Compatibility Exercise Application." Harvard Business School Simulation 620-707, May 2021.
      • ←
      • 8
      • 9
      • …
      • 22
      • 23
      • →

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.