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- May 1983 (Revised December 1987)
- Case
Technical Data Corp.
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...
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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
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
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...
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Keywords:
Business Plan
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...
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Keywords:
Factories, Labs, and Plants;
Cost;
Analytics and Data Science;
Brands and Branding;
Performance Capacity;
Competitive Strategy;
Construction Industry
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...
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Keywords:
Cost vs Benefits;
Decisions;
Forecasting and Prediction;
Cost;
Analytics and Data Science;
Market Entry and Exit;
Competition
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 for Managers
By: Dennis Campbell
Data science has become the new language of business. Many roles across the enterprise in finance, marketing, human resources, operations, innovation, and strategy now rely heavily on data science for important managerial decisions. Given the increasing ubiquity and...
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- Teaching Interest
Data Science for Managers
By: Chiara Farronato
This new course is taught as a required course in the first year MBA curriculum as of a.y. 2023-2024. It provides students with the foundations of data science to become effective data-driven managers. The course covers the basics of visualization, statistical and...
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- Forthcoming
- Article
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock...
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Keywords:
Analytics and Data Science;
Borrowing and Debt;
Financial Markets;
Value;
Knowledge Dissemination;
Financing and Loans
Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Journal of Accounting & Economics (forthcoming). (Pre-published online November 7, 2023.)
- Teaching Interest
Harvard Business Analytics Program
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...
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- Forthcoming
- Article
Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities
By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and...
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Keywords:
Energy Efficiency;
Public Policy;
Climate Change;
Energy Conservation;
Housing;
Analytics and Data Science;
Policy;
Income;
Environmental Sustainability;
Real Estate Industry;
United States
Asensio, Omar Isaac, Olga Churkina, Becky D. Rafter, and Kira E O'Hare. "Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities." Nature Sustainability (forthcoming). (Pre-published online March 18, 2024.)
- 2024
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency...
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Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, forthcoming.
- 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...
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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. Review of Marketing Research. Emerald Publishing Limited, 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.
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- Research Summary
Overview
My research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to observe whom) and workplace connectivity (who gets to communicate with whom). Open offices and factories have made what was...
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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
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...
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- 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...
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- 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...
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Keywords:
Analytics and Data Science;
Research;
Attitudes;
Working Conditions;
Well-being;
Health Industry
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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