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Publications

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    • All HBS Web  (1,991)
      • Faculty Publications  (523)

      Analytics and Data ScienceRemove Analytics and Data Science →

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      • 1991
      • Book

      Multinational and International Banking

      By: G. Jones
      The essays in this volume explore the historical evolution of multinational and international banking. Contemporary studies, and most writers on the theory of multinational banking, focus on US data, yet historically European financial institutions were the leaders in... View Details
      Keywords: Banks and Banking; Multinational Firms and Management; Analytics and Data Science; Opportunities; Theory; Banking Industry; Europe; United States
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      Jones, G., ed. Multinational and International Banking. Aldershot, England: Edward Elgar Publishing, 1991.
      • January 1989 (Revised July 1991)
      • Case

      Bank for International Development, Software Case

      By: W. Carl Kester and Timothy A. Luehrman
      A hypothetical case in which an assistant treasurer of a supranational bank is asked to determine in which currencies it has been cheaper ex post to borrow. An integral part of the case is a Lotus 1-2-3 worksheet containing monthly data on yen and dollar interest... View Details
      Keywords: Decisions; Interest Rates; International Finance; Relationships; Currency; Management Analysis, Tools, and Techniques; Analytics and Data Science; Inflation and Deflation
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      Kester, W. Carl, and Timothy A. Luehrman. "Bank for International Development, Software Case." Harvard Business School Case 289-034, January 1989. (Revised July 1991.)
      • March 1987
      • Article

      Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

      By: J. Frankel and K. A. Froot
      Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance
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      Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)
      • August 1983
      • Background Note

      Balance of Payments: Accounting and Presentation

      By: David B. Yoffie
      Provides an overview of balance of payments accounting and analytical presentation of balance of payments data. Includes sample transactions to illustrate the application of the basic accounting principles and definitions of the standard balances. View Details
      Keywords: Accounting; Analytics and Data Science; Management; Standards; Mathematical Methods
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      Yoffie, David B. "Balance of Payments: Accounting and Presentation." Harvard Business School Background Note 384-005, August 1983.
      • May 1983 (Revised December 1987)
      • Case

      Technical Data Corp.

      By: William A. Sahlman
      Describes a decision confronting the president of a small company about selling some or all of the shares in his company to another firm. Technical Data Corp. provides analytical services to professional bond market traders over a system of computer terminals operated... View Details
      Keywords: Stocks; Entrepreneurship; Business Startups; Internet and the Web; Information Infrastructure; Mobile and Wireless Technology; Valuation; Negotiation Tactics; Mergers and Acquisitions; Corporate Strategy; Horizontal Integration; Information Industry; Service Industry
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      Sahlman, William A. "Technical Data Corp." Harvard Business School Case 283-072, May 1983. (Revised December 1987.)
      • May 1983 (Revised November 1987)
      • Case

      Technical Data Corp.: Business Plan

      By: William A. Sahlman
      Contains materials extracted from a business plan developed by the company in 1980. The purpose of the business plan was to raise $100,000 to finance the commencement of operations. The firm intended to provide analytical services to bond market traders. The product... View Details
      Keywords: Business Plan
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      Sahlman, William A. "Technical Data Corp.: Business Plan." Harvard Business School Case 283-073, May 1983. (Revised November 1987.)
      • June 1982 (Revised May 1995)
      • Case

      Ellis Manufacturing Co.

      By: Roy D. Shapiro
      Ellis finds itself in a weakening competitive position largely due to the lack of rationalization in its plants. Driven by a strong traditionally decentralized sales organization, Ellis finds that all plants want control over all product lines. As a result, overall... View Details
      Keywords: Factories, Labs, and Plants; Cost; Analytics and Data Science; Brands and Branding; Performance Capacity; Competitive Strategy; Construction Industry
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      Shapiro, Roy D. "Ellis Manufacturing Co." Harvard Business School Case 682-103, June 1982. (Revised May 1995.)
      • March 1980 (Revised February 1987)
      • Case

      Sweco, Inc. (A)

      By: Michael E. Porter and George S. Yip
      Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case... View Details
      Keywords: Cost vs Benefits; Decisions; Forecasting and Prediction; Cost; Analytics and Data Science; Market Entry and Exit; Competition
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      Porter, Michael E., and George S. Yip. "Sweco, Inc. (A)." Harvard Business School Case 380-167, March 1980. (Revised February 1987.)
      • Teaching Interest

      Data Science and AI for Leaders

      By: Dennis Campbell
      Modern business increasingly relies... View Details
      Keywords: Artificial Intelligence; Data Science
      • Teaching Interest

      Data Science and Artificial Intelligence for Leaders

      By: Chiara Farronato
      With artificial intelligence (AI)... View Details
      Keywords: Data Science; Data Science And Analytics Management; Data Analytics; Data Analysis; Artificial Intelligence; Generative Ai; Generative Models
      • Forthcoming
      • Article

      Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

      By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
      To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
      Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
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      Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review (forthcoming). (Pre-published online April 22, 2025.)
      • Teaching Interest

      Harvard Business Analytics Program

      By: Michael L. Tushman

      The Harvard Business Analytics Program is offered through a collaboration between Harvard Business School (HBS), the John A. Paulson School of Engineering and Applied Sciences (SEAS), and the Faculty of Arts and Sciences (FAS).

      Designed for... View Details

      • Teaching Interest

      Harvard Business Analytics Program: Operations and Supply Chain Management

      By: Dennis Campbell
      Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details
      • Forthcoming
      • Article

      Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

      By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
      Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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      Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
      • Teaching Interest

      Overview

      By: John A. Deighton
      I teach about the ecosystem of big data, the role of data in advertising and creative industries, and customer management and personal privacy in an era of individual addressability. View Details
      Keywords: Digital Marketing; Database Marketing; Social Media; Data Analytics; Information; Advertising; Marketing; Media; Technology; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Entertainment and Recreation Industry
      • Research Summary

      Overview

      By: Ethan S. Bernstein
      I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
      Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
      • Research Summary

      Overview

      By: Iavor I. Bojinov
      Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
      • Research Summary

      Overview

      By: Kris Johnson Ferreira
      Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
      Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
      • Research Summary

      Overview

      By: Ayelet Israeli
      Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
      Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data
      • Article

      Paradise Lost (and Restored?): A Study of Psychological Safety over Time

      By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson
      Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details
      Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry
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      Bransby, Derrick P., Michaela Kerrissey, and Amy C. Edmondson. "Paradise Lost (and Restored?): A Study of Psychological Safety over Time." Academy of Management Discoveries (in press). (Pre-published online March 14, 2024.)
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