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- All HBS Web (228)
- Faculty Publications (102)
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- All HBS Web (228)
- Faculty Publications (102)
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- February 2021
- Article
Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning
By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio
The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details
Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy
Ha, Sooji, Daniel J Marchetto, Sameer Dharur, and Omar Isaac Asensio. "Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning." Art. 100195. Patterns 2, no. 2 (February 2021).
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
- Research Summary
Overview
Dr. Logg studies how people can improve the accuracy of their judgments and decisions. Her main program of work examines when people are most likely to leverage the power of algorithms to improve their accuracy. Research on what she calls “theory of machine” is... View Details
- September 2019
- Article
The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions
By: J.J. Lee, H. Hardin, B. Parmar and F. Gino
In this research, we examine the unintended consequences of dishonest behavior for one’s interpersonal abilities and subsequent ethical behavior. Specifically, we unpack how dishonest conduct can reduce one’s generalized empathic accuracy—the ability to accurately read... View Details
Lee, J.J., H. Hardin, B. Parmar, and F. Gino. "The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions." Journal of Experimental Psychology: General 148, no. 9 (September 2019): 1557–1574.
- 2023
- Working Paper
Remote Work across Jobs, Companies, and Space
By: Stephen Hansen, Peter John Lambert, Nick Bloom, Steven J. Davis, Raffaella Sadun and Bledi Taska
The pandemic catalyzed an enduring shift to remote work. To measure and characterize
this shift, we examine more than 250 million job vacancy postings across five
English-speaking countries. Our measurements rely on a state-of-the-art language-processing
framework... View Details
Keywords: Remote Work; Hybrid Work; Work From Home (WFH); Pandemic; Labor Market; Job Search; Job Design and Levels; Trends
Hansen, Stephen, Peter John Lambert, Nick Bloom, Steven J. Davis, Raffaella Sadun, and Bledi Taska. "Remote Work across Jobs, Companies, and Space." NBER Working Paper Series, No. 31007, March 2023. (Harvard Business School Working Paper, No. 23-059, March 2023.)
- Research Summary
Markets, Information, and Efficiency
Professor Meulbroeks market efficiency research focuses on the closely related questions of whether markets properly reflect information that affects a firm's value, and in turn how stock prices influence managerial behavior. In this area, she studies why some firms... View Details
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- 2021
- Working Paper
Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic... View Details
Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
- 2010
- Working Paper
When Do Analysts Add Value? Evidence from Corporate Spinoffs
By: Emilie Rose Feldman, Stuart Gilson and Belen Villalonga
We investigate the information content and forecast accuracy of 1,793 analyst reports written around 62 spinoffs—a setting in which analysts' ability to inform investors is potentially very high. We find that analysts pay little attention to subsidiaries about to be... View Details
Keywords: Earnings Management; Mergers and Acquisitions; Business Subsidiaries; Restructuring; Forecasting and Prediction; Insolvency and Bankruptcy; Initial Public Offering; Price; Reports; Research
Feldman, Emilie Rose, Stuart Gilson, and Belen Villalonga. "When Do Analysts Add Value? Evidence from Corporate Spinoffs." Harvard Business School Working Paper, No. 10-102, May 2010.
- November 2021
- Article
The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study provides a comprehensive model of an agent’s behavior in response to multiple sales management instruments, including compensation, recruiting/termination, and training. The model on agents’ behavior takes into account many of the key elements that... View Details
Keywords: Salesforce Management; Recruitment; Selection and Staffing; Compensation and Benefits; Resignation and Termination; Training; Behavior; Analysis
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training." Management Science 67, no. 11 (November 2021): 7046–7074.
- May 2022
- Supplement
Borusan CAT: Monetizing Prediction in the Age of AI (B)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
- Article
Human Capital and the Future of Work: Implications for Investors and ESG Integration
By: Sakis Kotsantonis and George Serafeim
Human capital development (HCD) is a key consideration for most companies, but only recently have investors focused on understanding the risks and opportunities related to human capital with the emergence of environmental, social, and governance (ESG) investment... View Details
Keywords: Future Of Work; ESG; Employee Engagement; Employee Compensation; Human Capital; Human Resources; Employees; Compensation and Benefits; Wages
Kotsantonis, Sakis, and George Serafeim. "Human Capital and the Future of Work: Implications for Investors and ESG Integration." Journal of Financial Transformation 51 (April 2020): 115–130.
- 2016
- Working Paper
Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment
By: Zengquan Li, T.J. Wong and Gwen Yu
When emerging market firms raise external capital, they face a tradeoff where greater transparency may lead to a lower cost of capital but at the cost of revealing proprietary information in their relational business practices. We find that firms overcome this... View Details
Keywords: Emerging Market; Financial Analysts; Information; Emerging Markets; Forecasting and Prediction; Corporate Governance
Li, Zengquan, T.J. Wong, and Gwen Yu. "Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment." Harvard Business School Working Paper, No. 16-135, June 2016. (Revised October 2016.)
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- August 2020 (Revised March 2021)
- Case
Migros Turkey: Scaling Online Operations (A)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and... View Details
Keywords: Retail; Grocery; Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- October 2014
- Supplement
Quiet Logistics (B)
By: Robert Simons and Natalie Kindred
This two-part case focuses on how to identify and manage strategic uncertainties in an innovative, entrepreneurial start-up company. In the (A) case, students learn about Quiet Logistics, an e-commerce fulfillment company working with high-end apparel retailers such as... View Details
Keywords: Strategy Execution; Strategic Uncertainties; Managing Growth; Disruptive Change; Robotics; Disruptive Technologies; Managing Start-ups; Management Control Systems; Performance Measurement; Business Growth and Maturation; Disruption; Entrepreneurship; Disruptive Innovation; Crisis Management; Risk Management; Organizational Change and Adaptation; Business Strategy; Competitive Strategy; E-commerce; Distribution Industry; Technology Industry; United States
Simons, Robert, and Natalie Kindred. "Quiet Logistics (B)." Harvard Business School Supplement 115-003, October 2014.
- October 2014 (Revised June 2015)
- Case
Quiet Logistics (A)
By: Robert Simons and Natalie Kindred
This two-part case focuses on how to identify and manage strategic uncertainties in an innovative, entrepreneurial start-up company. In the (A) case, students learn about Quiet Logistics, an e-commerce fulfillment company working with high-end apparel retailers such as... View Details
Keywords: Strategy Execution; Strategic Uncertainty; Disruptive Change; Managing Growth; Robotics; Disruptive Technology; Managing Start-ups; Management Control Systems; Performance Measurement; Business Growth and Maturation; Disruption; Entrepreneurship; Disruptive Innovation; Crisis Management; Risk Management; Organizational Change and Adaptation; Business Strategy; Competitive Strategy; E-commerce; Distribution Industry; Technology Industry; United States
Simons, Robert, and Natalie Kindred. "Quiet Logistics (A)." Harvard Business School Case 115-001, October 2014. (Revised June 2015.)
- 2016
- Article
Penalized Fast Subset Scanning
By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)