Publications

We give a new proof of the “transfer theorem” underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details

Article

Dualities in Negotiation: Introduction

By: James K. Sebenius

Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of their 1965 book, A Behavioral Theory of Labor Negotiations. Central to their argument are three... View Details

Keywords: Bargaining; Integrative Bargaining; Distributive Bargaining; Negotiation; Labor Unions

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02 May 2005
What Do You Think?

Where is Consumer Generated Marketing Taking Us?

Summing Up Consumer generated marketing is a fact of life to which all of us will have to adapt. Adaptation means learning how to use CGM to provide one form of input in fashioning product and marketing decisions. Those are the messages... View Details

Keywords: by James Heskett

04 Dec 2008
Working Paper Summaries

Local Industrial Conditions and Entrepreneurship: How Much of the Spatial Distribution Can We Explain?

Keywords: by Edward L. Glaeser & William R. Kerr; Manufacturing

Web

Generative AI for Business Leaders - Course Catalog

sessions for a packed agenda of content. The grading distribution is as follows: Grading : 50% class participation 50% project The use of generative AI is not just encouraged but required for class... View Details

Article

Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired

By: James K. Sebenius

Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of the Behavioral Theory of Labor Relations. Ironically, the names they chose for the fundamental... View Details

Keywords: Bargaining; Integrative Bargaining; Distributive Bargaining; Negotiation; Labor Unions

2024
Working Paper

Old Moats for New Models: Openness, Control, and Competition in Generative AI

By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details

Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy

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Article

Pattern Detection in the Activation Space for Identifying Synthesized Content

By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam

Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may... View Details

Keywords: Subset Scanning; Generative Models; Synthetic Content Detection

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2012
Article

Organization Design for Business Ecosystems

By: Carliss Y. Baldwin

The modern corporation has long been the central focus of the field of organization design. Such firms can be likened to nation-states: they have boundaries that circumscribe citizen-employees, and they engage in production and trade. But individual corporations are... View Details

Keywords: Modularity; Business Ecosystems; Distributed Innovation; Problem Solving; Property Rights; Organization Design; Networks; Integration; Competition; Organizational Design; Innovation and Management

June 2014
Case

Financial Policy at Apple, 2013 (A)

By: Mihir A. Desai and Elizabeth A. Meyer

By the end of 2013, Apple had $137 billion dollars in cash and marketable securities. This case explores how companies can generate such large amounts of cash and how and if they should distribute it to shareholders, especially in the face of shareholder pressure. In... View Details

Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland

February 2019 (Revised May 2021)
Case

Electric Car Wars, 2018

By: John R. Wells and Benjamin Weinstock

Electric cars had long been championed by environmentalists as a superior solution to the internal combustion engine (ICE), but, despite large government incentives and strong pioneering efforts by a few automakers over the years, electric and hybrid cars and light... View Details

2016
Working Paper

Operations in the On-Demand Economy: Staffing Services with Self-Scheduling Capacity

By: Itai Gurvich, Martin Lariviere and Antonio Moreno

Motivated by recent innovations in service delivery such as ride-sharing services and work-from-home call centers, we study capacity management when workers self-schedule. Our service provider chooses capacity to maximize its profit (revenue from served customers minus... View Details

Keywords: Strategic Servers; On-demand Economy; Independent Capacity; Distributed Systems; Uber; Service Operations; Performance Capacity

SSRN

October 2018
Case

Innovation at the Utility: Consolidated Edison's Experience

By: Martha Crawford, Andrew Serpa and Jon Wofsy

In 2014, regulators in New York State released a bold vision for the future of the electric utility industry to try and stay ahead of larger trends of rising customer expectations, stagnant load growth, and climate change. In response, Con Edison created a Utility of... View Details

Keywords: Blockchain; Utilities; Consolidated Edison; Regulated Monopolies; Electricity Distribution; Innovation Strategy; Organizational Design; Energy; Energy Generation; Utilities Industry; Energy Industry

June 2013
Supplement

Montague Corporation: Unfolding the Future in Cycling (Video Supplement)

By: Jim Sharpe

This is the Video Supplement for Montague Corporation: Unfolding the Future in Cycling (HBS Case #808087). View Details

Keywords: Entrepreneurs; Consumer Products; Innovation ＆ Entrepreneurship; Innovation; General Managers; Growth; Growth Management; International; Consumer Behavior; Marketing Channels; Founding; Channels Of Distribution; Entrepreneurship; Marketing; Leadership; Bicycle Industry; United States

June 2013
Supplement

Montague Corporation: Unfolding the Future in Cycling (Spreadsheet Supplement)

By: Jim Sharpe

This is the Spreadsheet Supplement for Montague Corporation: Unfolding the Future in Cycling (Case #808087). Includes Exhibit 3, Exhibit 5, Exhibit 6, and Exhibit 8. View Details

Keywords: Entrepreneurs; Consumer Products; Innovation ＆ Entrepreneurship; Innovation; General Managers; Growth; Growth Management; International; Consumer Behavior; Marketing Channels; Founding; Channels Of Distribution; Bicycles; Entrepreneurship; Marketing; Leadership; Bicycle Industry; United States

May 2016
Case

OPET: Precision Marketing in Uncertain Times

By: Rajiv Lal, Esel Çekin and Eren Kuzucu

During Timucin Guler’s decade at OPET, a prominent fuel distributor in Turkey, he transformed the definition of marketing in the company. Under Guler’s lead, OPET, once a local player in the downstream distribution market, became the second largest fuel distributor in... View Details

Keywords: Customer Satisfaction; Customer Service; Emerging Market; Focusing On Customers; Competition; Turkey; Loyalty Program; Marketing Strategy; Downstream Distribution; Customer Relationship Management; Energy Industry; Turkey

2023
Working Paper

Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill

In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details

Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects