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(5,460)
- Faculty Publications (895)
- 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
Huckman, Robert S., Karim R. Lakhani, and Kyle R. Myers. "X: The Foghorn Decision." Harvard Business School Case 618-060, March 2018. (Revised September 2023.)
- 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
Kohlberg, Elon, and Abraham Neyman. "Games of Threats." Games and Economic Behavior 108 (March 2018): 139–145.
- 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
Keywords: Technological Innovation; Finance; Growth and Development Strategy; Business Model; Applications and Software; Infrastructure; Technology Industry; Financial Services Industry
Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business School Case 218-080, February 2018. (Revised March 2018.)
- 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
Handel, Benjamin, and Joshua Schwartzstein. "Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?" Journal of Economic Perspectives 32, no. 1 (Winter 2018): 155–178.
- 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
Sikochi, Siko, Suraj Srinivasan, and Quinn Pitcher. "Fair Value Accounting at Noble Group (B)." Harvard Business School Supplement 118-062, January 2018. (Revised August 2018.)
- 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
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- 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
Bussgang, Jeffrey J., Samuel Clemens, and Olivia Hull. "Continuous Software Development: Agile's Successor." Harvard Business School Background Note 818-055, January 2018. (Revised August 2020.)
- 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
Khanna, Tarun, and Jan W. Rivkin. "Math Tools for Strategists." Harvard Business School Background Note 718-477, January 2018.
- 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
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 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
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 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
Bell, David E., and Natalie Kindred. "Alltech." Harvard Business School Case 518-001, December 2017. (Revised January 2018.)
- 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
Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
- 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
Keywords: Design Research; Health Technology; Innovation; Design; Research; Decision Choices and Conditions; Strategy; Organizational Change and Adaptation; Transformation
Datar, Srikant M., Rajiv Lal, and Caitlin N. Bowler. "Royal Philips: Designing Toward Profound Change." Harvard Business School Case 118-017, November 2017. (Revised July 2018.)
- 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
Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond." Harvard Business School Working Paper, No. 18-042, November 2017.
- 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
Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." NBER Working Paper Series, No. 24035, November 2017.
- 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
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 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
- Article
A Field Experiment on Search Costs and the Formation of Scientific Collaborations
By: Kevin Boudreau, Tom Brady, Ina Ganguli, Patrick Gaule, Eva C. Guinan, Anthony Hollenberg and Karim R. Lakhani
We present the results of a field experiment conducted at Harvard Medical School to understand the extent to which search costs affect matching among scientific collaborators. We generated exogenous variation in search costs for pairs of potential collaborators by... View Details
Keywords: Search Costs; Cost; Marketplace Matching; Groups and Teams; Science; Collaborative Innovation and Invention
Boudreau, Kevin, Tom Brady, Ina Ganguli, Patrick Gaule, Eva C. Guinan, Anthony Hollenberg, and Karim R. Lakhani. "A Field Experiment on Search Costs and the Formation of Scientific Collaborations." Review of Economics and Statistics 99, no. 4 (October 2017): 565–576.
- September–October 2017
- Article
The Surprising Power of Online Experiments: Getting the Most Out of A/B and Other Controlled Tests
By: Ron Kohavi and Stefan Thomke
In the fast-moving digital world, even experts have a hard time assessing new ideas. Case in point: At Bing, a small headline change an employee proposed was deemed a low priority and shelved for months until one engineer decided to do a quick online controlled... View Details
Kohavi, Ron, and Stefan Thomke. "The Surprising Power of Online Experiments: Getting the Most Out of A/B and Other Controlled Tests." Harvard Business Review 95, no. 5 (September–October 2017): 74–82.
- September 2017
- Article
Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees
By: Anais Thibault-Landry, Allan Schweyer and Ashley V. Whillans
Given the struggle that many organizations face hiring and retaining talent in today's tight labor market, it is critical to understand how to effectively reward employees. To address this question, we review relevant evidence that explains the importance of workplace... View Details
Keywords: Rewards; Total Reward Strategies; Incentives; Recognition; Motivation; Psychological Needs; Employees; Retention; Motivation and Incentives; Working Conditions
Thibault-Landry, Anais, Allan Schweyer, and Ashley V. Whillans. "Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees." Compensation & Benefits Review 49, no. 4 (September 2017): 230–246.