Publications
Publications
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(5,477)
- Faculty Publications (879)
- May 2018
- Article
Linda Babcock: Go-getter and Do-gooder
By: Max Bazerman, Iris Bohnet, Hannah Riley-Bowles and George Loewenstein
In this tribute to the 2007 recipient of the Jeffrey Z. Rubin Theory‐To‐Practice Award from the International Association for Conflict Management (IACM), we celebrate Linda Babcock's contributions to diverse lines of research, her tireless and effective efforts to put... View Details
- May 2018
- Article
Selection and Market Reallocation: Productivity Gains from Multinational Production
By: Laura Alfaro and Maggie X. Chen
Assessing the productivity gains from multinational production has been a vital topic of economic research and policy debate. Positive aggregate productivity gains are often attributed to within-firm productivity improvement; however, an alternative, less emphasized... View Details
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
- March 2018 (Revised September 2023)
- Case
X: The Foghorn Decision
In February 2016, Kathy Hannun—a project leader at X, Alphabet Inc.'s so-called "moonshot factory"—had to prepare a recommendation for the senior leadership of X regarding the future of Foghorn, a project she was leading to develop a carbon-neutral process for... View Details
Keywords: Innovation; R＆D Project Management; Radical Innovation; Clean Technology; Innovation and Management; Technological Innovation; Energy; Research and Development; Projects; Management; Decision Choices and Conditions; Technology Industry; Energy Industry; Green Technology Industry; California
- Article
Games of Threats
By: Elon Kohlberg and Abraham Neyman
A game of threats on a finite set of players, N, is a function d that assigns a real number to any coalition, S ⊆ N, such that d(S) = -d(N\S). A game of threats is not necessarily a coalitional game as it may fail to satisfy the condition d(Ø) = 0. We show that analogs... View Details
- February 2018 (Revised March 2018)
- Case
Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)
By: Lauren Cohen, Christopher Malloy and William Powley
This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details
- 2017
- Article
Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?
By: Benjamin Handel and Joshua Schwartzstein
Consumers suffer significant losses from not acting on available information. These losses stem from frictions such as search costs, switching costs, and rational inattention, as well as what we call mental gaps resulting from wrong priors/worldviews, or relevant... View Details
- January 2018 (Revised August 2018)
- Supplement
Fair Value Accounting at Noble Group (B)
By: Siko Sikochi, Suraj Srinivasan and Quinn Pitcher
Following a series of reports by Iceberg Research alleging that Noble Group was too aggressive in its fair value accounting for contracts and investments in producers, Noble’s stock price continued to fall and stakeholders began to call for improved transparency in... View Details
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
- January 2018 (Revised August 2020)
- Background Note
Continuous Software Development: Agile's Successor
By: Jeffrey J. Bussgang, Samuel Clemens and Olivia Hull
In recent years, the twin software development methodologies of continuous delivery and continuous deployment have risen to prominence in the start-up world and beyond. These methods have enabled technology companies large and small to accelerate their product... View Details
Keywords: Continuous Improvement; Continuous Development; Continuous Delivery; Continuous Integration; Product Development Processes; Computer Programming; Agile; Waterfall; Software Applications; Software Engineering; Applications and Software; Information Technology; Technological Innovation; Product Development; Customer Focus and Relationships; Entrepreneurship; Organizational Change and Adaptation; Organizational Structure; Quality; Product Marketing; Product; Infrastructure; Information Infrastructure; Computer Industry; Technology Industry; Information Technology Industry; Web Services Industry; Massachusetts; Boston
- January 2018
- Background Note
Math Tools for Strategists
By: Tarun Khanna and Jan W. Rivkin
Great strategists rely heavily on numbers as they go about their work. This note offers an overview of the highbrow and lowbrow quantitative tools that individuals commonly encounter during strategy courses and in actual strategy work. The note focuses especially on... View Details
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
- December 2017 (Revised January 2018)
- Case
Alltech
By: David E. Bell and Natalie Kindred
Alltech was a Lexington, Kentucky–based producer of supplements for animal feed, with revenues of over $2 billion (projected to reach $3 billion in 2018), sales in 120 countries, 5,000 employees, and 100 manufacturing plants worldwide. For nearly four decades, Alltech... View Details
Keywords: Alltech; United States; Agribusiness; Agriculture; Animal; Animal Agriculture; Animal Feed; Livestock; Family Business; Vertical Integration; Strategy; Growth; Feed Additives; Feed Supplements; Kentucky; Growth Strategy; Family Businesses; Animal-Based Agribusiness; Acquisition; Business Growth and Maturation; Business Model; Change Management; Trends; Governance; Entrepreneurship; Growth and Development; Intellectual Property; Leadership; Management; Markets; Organizational Culture; Private Ownership; Science; Quality; Risk and Uncertainty; Research; Sales; Agriculture and Agribusiness Industry; Pharmaceutical Industry; United States; Kentucky; Brazil; China
- 2017
- Working Paper
Investment Timing with Costly Search for Financing
By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
- November 2017 (Revised July 2018)
- Case
Royal Philips: Designing Toward Profound Change
By: Srikant M. Datar, Rajiv Lal and Caitlin N. Bowler
This case explores Royal Philips CEO Frans van Houten's bold use of design research to inform a critical strategic decision: Should Philips leave its storied lighting business behind in favor of complete focus on health technology and consumer lifestyle products?... View Details
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details
- 2017
- Working Paper
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
- 2017
- Working Paper
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details