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  • All HBS Web  (855)
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  • 09 Jul 2012
  • Research & Ideas

The Unconscious Executive

application of very strict, mathematical rules, we hypothesize that conscious thought is beneficial. But when it comes to integrating a large amount of information, we think unconscious thought, which gives rougher estimates, is more... View Details
Keywords: by Martha Lagace
  • November 2009
  • Journal Article

A Theory of Growth and Volatility at the Aggregate and Firm Level

By: Diego A. Comin and Sunil Mulani
This paper presents an endogenous growth model that explains the evolution of the first and second moments of productivity growth at the aggregate and firm level during the post-war period. Growth is driven by the development of both (i) idiosyncratic R&D innovations... View Details
Keywords: Volatility; Microeconomics; Innovation and Invention; Growth and Development Strategy; Resource Allocation; Performance Productivity; Mathematical Methods; Research and Development
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Comin, Diego A., and Sunil Mulani. "A Theory of Growth and Volatility at the Aggregate and Firm Level." Journal of Monetary Economics 56, no. 8 (November 2009): 1023–1042.
  • 2009
  • Working Paper

Input Constraints and the Efficiency of Entry: Lessons from Cardiac Surgery

By: David M. Cutler, Robert S. Huckman and Jonathan T. Kolstad
Prior studies suggest that, with elastically supplied inputs, free entry may lead to an inefficiently high number of firms in equilibrium. Under input scarcity, however, the welfare loss from free entry is reduced. Further, free entry may increase use of high-quality... View Details
Keywords: Health Care and Treatment; Market Entry and Exit; Duopoly and Oligopoly; Government Legislation; Mathematical Methods; Health Industry; Pennsylvania
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Cutler, David M., Robert S. Huckman, and Jonathan T. Kolstad. "Input Constraints and the Efficiency of Entry: Lessons from Cardiac Surgery." NBER Working Paper Series, No. 15214, August 2009.
  • 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
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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): 1519–1533.
  • November 2006
  • Background Note

Technical Game Theory Note #6: Multiple-Round Games and Reputations

By: Dennis A. Yao
Provides a game theory-based interpretation of reputations and reputation building. View Details
Keywords: Game Theory; Mathematical Methods; Games, Gaming, and Gambling; Reputation; Debates; Strategy; Performance Consistency; Performance Improvement; Strategic Planning; Education Industry
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Yao, Dennis A. "Technical Game Theory Note #6: Multiple-Round Games and Reputations." Harvard Business School Background Note 707-488, November 2006.
  • December 2005 (Revised March 2007)
  • Case

Innovation and Collaboration at Merrill Lynch

By: Boris Groysberg and Ingrid Vargas
In the spring of 2005, Candace Browning, head of Global Securities Research and Economics at Merrill Lynch, led about 500 Merrill Lynch analysts worldwide in a collaborative effort to produce innovative research, most of them accustomed to working independently in... View Details
Keywords: Leadership; Groups and Teams; Management Teams; Decision Making; Collaborative Innovation and Invention; Negotiation; Mathematical Methods; Strategy; Human Resources; Motivation and Incentives; Banking Industry; Financial Services Industry
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Groysberg, Boris, and Ingrid Vargas. "Innovation and Collaboration at Merrill Lynch." Harvard Business School Case 406-081, December 2005. (Revised March 2007.)
  • 08 Sep 2009
  • Research & Ideas

The Height Tax, and Other New Ways to Think about Taxation

poor if not balanced with other changes to the system. Will the trend toward these taxes continue, or will dissatisfaction with income inequality force a reversal? On the research side, let me note three developments: First, powerful View Details
Keywords: by Martha Lagace
  • 2009
  • Working Paper

When Does Domestic Saving Matter for Economic Growth?

By: Philippe Aghion, Diego A. Comin, Peter Howitt and Isabel Tecu
Can a country grow faster by saving more? We address this question both theoretically and empirically. In our theoretical model, growth results from innovations that allow local sectors to catch up with frontier technology. In poor countries, catching up requires the... View Details
Keywords: Developing Countries and Economies; Economic Growth; Entrepreneurship; Foreign Direct Investment; Saving; Technological Innovation; Mathematical Methods
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Aghion, Philippe, Diego A. Comin, Peter Howitt, and Isabel Tecu. "When Does Domestic Saving Matter for Economic Growth?" Harvard Business School Working Paper, No. 09-080, January 2009.
  • December 2008
  • Article

Behavioral Frontiers in Choice Modeling

We review the discussion at a workshop whose goal was to achieve a better integration among behavioral, economic, and statistical approaches to choice modeling. The workshop explored how current approaches to the specification, estimation, and application of choice... View Details
Keywords: Mathematical Methods; Integration; Goals and Objectives; Decision Choices and Conditions; Problems and Challenges; Business Processes; Customers; Behavior; Economics
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Adamowicz, Wiktor, David Bunch, Trudy Ann Cameron, Benedict G.C. Dellaert, Michael Hanneman, Michael Keane, Jordan Louviere, Robert Meyer, Thomas J. Steenburgh, and Joffre Swait. "Behavioral Frontiers in Choice Modeling." Marketing Letters 19, nos. 3/4 (December 2008): 215–219.
  • 2012
  • Working Paper

Issuer Quality and Corporate Bond Returns

By: Robin Greenwood and Samuel G. Hanson
We show that the credit quality of corporate debt issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the... View Details
Keywords: Price; Credit; Risk and Uncertainty; Investment Return; Forecasting and Prediction; Bonds; Market Design; Cost of Capital; Mathematical Methods; System Shocks
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Greenwood, Robin, and Samuel G. Hanson. "Issuer Quality and Corporate Bond Returns." Harvard Business School Working Paper, No. 11-065, January 2011. (Revised September 2012, Internet Appendix Here.)
  • 2013
  • Working Paper

Where do the Most Active Customers Originate and How Can Firms Keep Them Engaged?

By: Clarence Lee, E. Ofek and Thomas Steenburgh
In this paper, we study how firms offering Web services can acquire and develop an active customer base. We focus on two basic questions. First, how does the method of customer acquisition affect the way customers use the service to meet their own needs and to interact... View Details
Keywords: Customer Engagement; Adoption Routes; Hidden Markov Models; Search; Word-of-Mouth; Digital Media; Customer Relationship Management; Internet and the Web; Mathematical Methods; Consumer Behavior; Entrepreneurship; Marketing Reference Programs; Web Services Industry
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Lee, Clarence, E. Ofek, and Thomas Steenburgh. "Where do the Most Active Customers Originate and How Can Firms Keep Them Engaged?" Working Paper, 2013. (Revise and Resubmit at Management Science.)
  • February 2007 (Revised January 2008)
  • Supplement

Multifactor Models (CW)

By: Malcolm P. Baker
Keywords: Asset Pricing; Cost of Capital; Forecasting and Prediction; Investment Funds; Investment Return; Mathematical Methods; Performance Evaluation
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Baker, Malcolm P. "Multifactor Models (CW)." Harvard Business School Spreadsheet Supplement 207-710, February 2007. (Revised January 2008.)
  • November 2002 (Revised March 2010)
  • Case

The Newsprint Industry

By: Ramon Casadesus-Masanell, Nabil I. Al-Najjar and James Pyke
Describes the 1990s consolidation on the newsprint industry. Questions whether consolidation will ever deliver on its promise. Whereas some industry observers maintain that the effects of consolidation are already visible, others argue that further consolidation is... View Details
Keywords: Five Forces Framework; Duopoly and Oligopoly; Monopoly; Mathematical Methods; Competition; Consolidation; Pulp and Paper Industry
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Casadesus-Masanell, Ramon, Nabil I. Al-Najjar, and James Pyke. "The Newsprint Industry." Harvard Business School Case 703-404, November 2002. (Revised March 2010.)
  • September 1996 (Revised March 2002)
  • Case

Bishay Industries

By: David F. Hawkins and Norman Bartczak
A bankrupt company has a turnaround plan. Students are asked to predict whether it will be successful. View Details
Keywords: Insolvency and Bankruptcy; Business Plan; Goals and Objectives; Strategic Planning; Business Strategy; Cash Flow; Mathematical Methods; Financial Services Industry
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Hawkins, David F., and Norman Bartczak. "Bishay Industries." Harvard Business School Case 197-024, September 1996. (Revised March 2002.)
  • February 2010
  • Supplement

Marketing Analysis Toolkit: Market Size and Market Share Analysis (CW)

By: Thomas J. Steenburgh and Jill Avery
This Excel worksheet contains sample problems, prebuilt Excel models to run market sizing and market share analyses, and charts and graphs which help visualize the results. It is designed to accompany Marketing Analysis Tookit: Market Size and Market Share Analysis.... View Details
Keywords: Mathematical Methods; Marketing Strategy; Decisions; Strategic Planning; Market Participation; Sales; Forecasting and Prediction; Management Analysis, Tools, and Techniques
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Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Market Size and Market Share Analysis (CW)." Harvard Business School Spreadsheet Supplement 510-714, February 2010.
  • 2009
  • Article

Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model

By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details
Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition
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Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
  • November 2007
  • Article

Measuring Consumer and Competitive Impact with Elasticity Decompositions

Marketing investments are designed to change consumer behavior in ways that help goods compete in the marketplace. Previous research has focused on using elasticity decompositions to measure how these investments affect either consumer decision making or competing... View Details
Keywords: Decision Choices and Conditions; Investment Return; Marketing Strategy; Consumer Behavior; Measurement and Metrics; Mathematical Methods; Competitive Advantage
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Steenburgh, Thomas J. "Measuring Consumer and Competitive Impact with Elasticity Decompositions." Journal of Marketing Research (JMR) 44, no. 4 (November 2007): 636–646.
  • September 2020 (Revised March 2022)
  • Case

JOANN: Joannalytics Inventory Allocation Tool

By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
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Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • August 2000 (Revised September 2000)
  • Case

Extraprise

By: Srikant M. Datar, Krishna G. Palepu and Sarah S. Khetani
In the three years since it was founded, the Boston-based Internet strategy consulting firm, Extraprise, has changed its strategy three times. Jennifer Gabler, the CFO, considers what kinds of control systems she can put in place to ensure the company can continue to... View Details
Keywords: Information Management; Management Analysis, Tools, and Techniques; Mathematical Methods; Information Technology; Outcome or Result; Business Growth and Maturation; Growth and Development Strategy; Web Services Industry; Information Technology Industry; Boston
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Datar, Srikant M., Krishna G. Palepu, and Sarah S. Khetani. "Extraprise." Harvard Business School Case 101-001, August 2000. (Revised September 2000.)
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