Publications

November 2018
Case

Komatsu Komtrax: Asset Tracking Meets Demand Forecasting

By: Willy Shih, Paul Hong and YoungWon Park

Komatsu's Komtrax system started as a way of remotely monitoring and tracking equipment for the purpose of improving operational efficiency. This case follows its evolution towards other uses including demand forecasting for its sales, marketing, and production... View Details

Keywords: Big Data; Manufacturing; Manufacturing Industry; Data Strategy; Internet Of Things; Construction; Production; Analytics and Data Science; Strategy; Performance Efficiency; Forecasting and Prediction; Industrial Products Industry; Construction Industry; Japan

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August 2013
Article

Lords of the Harvest: Third-party Influence and Regulatory Approval of Genetically Modified Organisms

By: Shon R. Hiatt and Sangchan Park

Little is known about the factors that influence regulatory-agency decision making. We posit that regulatory agencies are influenced by the firms they regulate, but not exclusively via dyadic exchanges as is traditionally argued in the regulatory capture and... View Details

Keywords: Strategy; Government and Politics; Agriculture and Agribusiness Industry; United States

29 Jan 2019
Research & Ideas

'Green Bonds' May Be Our Best Bet for Environmental Damage Control

Municipalities have been selling bonds to pay for public works projects—fire stations, parking garages,sewage treatment systems—for 200 years. It’s only in the past decade or so, however, that they’ve been selling them with an extra perk:... View Details

Keywords: by Michael Blanding; Energy; Utilities; Construction; Green Technology; Public Administration

26 Apr 2011
Op-Ed

HBS Faculty Comment on Environmental Issues for Earth Day

king of the commute, even though public transit often has lower direct dollar cost. The prevalence of private automobiles causes problems that go far beyond the combustion engine and its massive carbon footprint. In city centers, underground View Details

Keywords: by Staff; Energy; Utilities

1993
Book

Can Ethics Be Taught?

By: T. R. Piper, M. Gentile and S. Park

Keywords: Ethics; Curriculum and Courses

May 2019
Article

Who Consumes Firm Disclosures? Evidence from Earnings Conference Calls

By: Anne Heinrichs, Jihwon Park and Eugene F. Soltes

Using a set of proprietary records, we examine who consumes quarterly earnings conference calls and under which circumstances the calls are consumed. While there is significant interest in calls by institutional investors and sell-side analysts, we find that investors... View Details

Keywords: Disclosure; Conference Calls; Firm News; Corporate Disclosure; Business Earnings; Situation or Environment

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Article

How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

By: Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu

What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three... View Details

Keywords: Fairness; Decision Making; Perception; Attitudes; Public Opinion

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

November 2019
Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry

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

SSRN

2023
Working Paper

What Makes Managers’ Private Disclosures Informative? Evidence from Professional Investors

By: Michael Durney, Hoyoun Kyung, Jihwon Park and Eugene F. Soltes

August 2024
Background Note

Mitigating Climate Change with Machine Learning

By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney

This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details

Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention

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2019
Article

Ridesharing with Driver Location Preferences

By: Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma and David C. Parkes

We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize... View Details

Keywords: Ridesharing; Pricing; Compensation and Benefits; Geographic Location; Market Design; Mathematical Methods

02 Jan 2018
Op-Ed

'Dear Working Knowledge'--Our Favorite Reader Comments of the Year

had died while she was interned. And as it happens I can see the masts of Hanslope Park from where I sit here in calm rural Buckinghamshire on our election day. It's great that Ms. Elkins is teaching at HBS, to be reminded that the School... View Details

Keywords: by Sean Silverthorne

2021
Working Paper

Deep Learning for Two-Sided Matching

By: Sai Srivatsa Ravindranatha, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers and David Parkes

We initiate the use of a multi-layer neural network to model two-sided matching and to explore the design space between strategy-proofness and stability. It is well known that both properties cannot be achieved simultaneously but the efficient frontier in this design... View Details

Keywords: Strategy-proofness; Deep Learning; Two-Sided Platforms; Marketplace Matching; Balance and Stability