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- Faculty Publications (409)
- July – August 2011
- Article
Foundations of Organizational Trust: What Matters to Different Stakeholders?
By: Michael Pirson and Deepak Malhotra
Prior research on organizational trust has not rigorously examined the context specificity of trust nor distinguished between the potentially varying dimensions along which different stakeholders base their trust. As a result, dominant conceptualizations of... View Details
Keywords: Trust; Competency and Skills; Forecasting and Prediction; Ethics; Framework; Analytics and Data Science; Surveys; Organizations; Business and Stakeholder Relations; Identity; Perspective
Pirson, Michael, and Deepak Malhotra. "Foundations of Organizational Trust: What Matters to Different Stakeholders?" Organization Science 22, no. 4 (July–August 2011): 1087–1104.
- April 2011 (Revised June 2011)
- Case
Internet Securities, Inc.: Path to Sustainability
By: Lynda M. Applegate, William R. Kerr and Ryan Johnson
Founded in 1994 when the Internet was still a "toy for techies," the case is set in 1998 when Internet IPOs were red-hot. Internet Securities provides hard-to-find financial, business, economic, and political information on emerging markets. Information from over 600... View Details
Keywords: Acquisition; Business Model; Business Startups; Decision Choices and Conditions; Venture Capital; Cash Flow; Initial Public Offering; Analytics and Data Science; Growth and Development Strategy; Valuation
Applegate, Lynda M., William R. Kerr, and Ryan Johnson. "Internet Securities, Inc.: Path to Sustainability." Harvard Business School Case 811-098, April 2011. (Revised June 2011.)
- February 2011 (Revised November 2011)
- Supplement
Berkshire Partners: Bidding for Carter's (CW)
By: Malcolm P. Baker and David Lane
Supplemental data on comparable companies to Burger King including both public companies and similar transactions. View Details
- February 2011
- Supplement
Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)
By: Dennis Campbell and Francisco de Asis Martinez-Jerez
Datasets of gaming and hotel customers to perform analysis for the case. View Details
- 2011
- Chapter
Regional Trade Integration and Multinational Firm Strategies
By: Pol Antras and C. Fritz Foley
This paper analyzes the effects of the formation of a regional trade agreement on the level and nature of multinational firm activity. We examine aggregate data that captures the response of U.S. multinational firms to the formation of the ASEAN free trade agreement.... View Details
Keywords: Forecasting and Prediction; Trade; Foreign Direct Investment; Multinational Firms and Management; Globalized Markets and Industries; Analytics and Data Science; Agreements and Arrangements; United States
Antras, Pol, and C. Fritz Foley. "Regional Trade Integration and Multinational Firm Strategies." In Costs and Benefits of Regional Economic Integration in Asia, edited by Robert J. Barro and Jong-Wha Lee. Oxford University Press, 2011.
- December 2010
- Background Note
Risk and Reward in Venture Capital
This note describes the payoff structure of investment in individual venture capital–backed companies and in venture capital portfolios. Venture Capital investments are characterized by high failure rate (0ver 50%) and a small number of given successes (greater than... View Details
Keywords: Capital Markets; Venture Capital; Investment Return; Investment Portfolio; Analytics and Data Science; Failure; Performance; Information Technology
Sahlman, William A. "Risk and Reward in Venture Capital." Harvard Business School Background Note 811-036, December 2010.
- September 2010
- Article
Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?
By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010).
- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
- June 2010
- Article
What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns
By: Glenn Ellison, Edward Glaeser and William R. Kerr
Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic... View Details
Keywords: Production; Economics; Industry Clusters; Analytics and Data Science; Labor; Theory; Goods and Commodities; United States; United Kingdom
Ellison, Glenn, Edward Glaeser, and William R. Kerr. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns." American Economic Review 100, no. 3 (June 2010): 1195–1213.
- May 2010 (Revised May 2010)
- Case
Data.gov
By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov." Harvard Business School Case 610-075, May 2010. (Revised May 2010.)
- August 2008
- Article
Economic Links and Predictable Returns
By: Lauren Cohen and Andrea Frazzini
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating... View Details
Keywords: Economics; Price; Assets; Analytics and Data Science; Customers; Stocks; Equity; Strategy; Investment Return; Forecasting and Prediction
Cohen, Lauren, and Andrea Frazzini. "Economic Links and Predictable Returns." Journal of Finance 63, no. 4 (August 2008). (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2008. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of BSI Gamma Foundation Research Grant presented by BSI Gamma Foundation.)
- April 2008
- Article
The Survey of Industrial R&D—Patent Database Link Project
By: William R. Kerr and Shihe Fu
This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Survey of Industrial R&D conducted by the Census Bureau and National Science Foundation. The dataset constitutes a platform that offers an unprecedented view of... View Details
Keywords: Analytics and Data Science; Patents; Surveys; Research and Development; Innovation and Invention; Performance Productivity; Projects; Management Practices and Processes; Management Analysis, Tools, and Techniques
Kerr, William R., and Shihe Fu. "The Survey of Industrial R&D—Patent Database Link Project." Journal of Technology Transfer 33, no. 2 (April 2008): 173–186.
- October 2007
- Article
Supply and Demand Shifts in the Shorting Market
By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find... View Details
Keywords: Analytics and Data Science; Stocks; Financing and Loans; Price; Strategy; Demand and Consumers; Forecasting and Prediction; Investment Return; Markets; Information
Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Supply and Demand Shifts in the Shorting Market." Journal of Finance 62, no. 5 (October 2007): 2061–2096. (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2007.)
- April 2006
- Background Note
Informing Service Management with Customer Data
By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in... View Details
Keywords: Decision Making; Design; Analytics and Data Science; Service Operations; Mathematical Methods; Value
Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
- February 2006 (Revised March 2008)
- Case
ChoicePoint (A)
By: Lynn S. Paine and Zack Phillips
The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection... View Details
Keywords: Business Model; Safety; Rights; Analytics and Data Science; Ethics; Information Technology; Information Industry; United States
Paine, Lynn S., and Zack Phillips. "ChoicePoint (A)." Harvard Business School Case 306-001, February 2006. (Revised March 2008.)
- February 2006
- Article
Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data
By: Lee G. Branstetter, Raymond Fisman and C. Fritz Foley
Keywords: Intellectual Property; Rights; Information Technology; Information; Analytics and Data Science; United States
Branstetter, Lee G., Raymond Fisman, and C. Fritz Foley. "Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data." Quarterly Journal of Economics 121, no. 1 (February 2006): 321–349.
- Article
Some Uses of Happiness Data in Economics
By: Rafael Di Tella and Robert MacCulloch
Di Tella, Rafael, and Robert MacCulloch. "Some Uses of Happiness Data in Economics." Journal of Economic Perspectives 20, no. 1 (Winter 2006): 25–46.
- August 2005 (Revised March 2006)
- Case
Moneyball (A): What Are You Paying For?
By: Frances X. Frei, Dennis Campbell and Eliot Sherman
Explores the contextual elements of Major League Baseball and presents data to allow for an analytic examination of alleged market inefficiencies within the sport. View Details
Keywords: Market Design; Performance; Sports; Compensation and Benefits; Sports Industry; United States
Frei, Frances X., Dennis Campbell, and Eliot Sherman. "Moneyball (A): What Are You Paying For?" Harvard Business School Case 606-025, August 2005. (Revised March 2006.)
- May 2005
- Exercise
Forecasting the Adoption of E-books
By: Elie Ofek
Gives students an opportunity to understand the challenges inherent in forecasting the diffusions of innovations. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its... View Details
Keywords: Forecasting and Prediction; Framework; Books; Analytics and Data Science; Product Launch; Internet and the Web; Technology Adoption
Ofek, Elie. "Forecasting the Adoption of E-books." Harvard Business School Exercise 505-063, May 2005.
- August 2004 (Revised September 2005)
- Case
Canyon Ranch
By: Lynda M. Applegate and Gabriele Piccoli
How should Canyon Ranch leverage its uniqueness in the face of increasing competition and an entrenched customer definition of the firm? The firm is attempting to create demand for return visits and foster the customization and personalization of the Canyon Ranch... View Details
Keywords: Customer Relationship Management; Information Technology; Growth and Development Strategy; Competitive Strategy; Experience and Expertise; Analytics and Data Science; Customization and Personalization
Applegate, Lynda M., and Gabriele Piccoli. "Canyon Ranch." Harvard Business School Case 805-027, August 2004. (Revised September 2005.)