Publications

SSRN

22 May 2012
First Look

First Look: May 22

contained expansion in Pakistan, exporting to nearby markets, and/or developing a global halal food brand. Purchase this case:http://cb.hbsp.harvard.edu/cb/product/512002-PDF-ENG Shanghai Zhangjiang Hi-Tech Park Development Co., Ltd... View Details

Keywords: Sean Silverthorne

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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2023
Working Paper

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

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

Article

The Price of Anarchy of Self-Selection in Tullock Contests

By: Hau Chan, David C. Parkes and Karim R. Lakhani

Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the... View Details

Keywords: Crowdsourcing Contests; Game Theory

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October 2023 (Revised November 2023)
Teaching Note

The Miccosukee Tribe and the Battle to Save the Everglades: A Miami Climate Action Story

By: Rosabeth Moss Kanter and Jacob A. Small

Teaching Note for HBS Case No. 324-002. "Miccosukee" explores the challenges of coordinating actions to solve a complex systems problem—from individuals, small organizations, and coalitions of multiple organizations. The case discusses the impact of climate change and... View Details

Keywords: Climate Change; Leading Change; Natural Environment; Florida; Everglades National Park

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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

Educators

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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

09 Apr 2012
Research & Ideas

Who Sways the USDA on GMO Approvals?

fairly following the rules of the process. In both cases, the researchers found that the department looked to outside stakeholders in order to establish that legitimacy. In the case of consequential legitimacy, Hiatt and Park found a... View Details

Keywords: by Michael Blanding; Food & Beverage; Biotechnology; Agriculture & Agribusiness

05 Jun 2000
What Do You Think?

What’s Happening to Our Patience?

at managing waiting, having long since concluded that guests to its theme parks spend far more time waiting than participating in various activities. Guests are willing to wait longer when they are diverted or entertained, when they know... View Details

Keywords: by James Heskett

26 Mar 2008
First Look

First Look: March 26, 2008

http://www.hbsp.harvard.edu/b01/en/common/item_detail.jhtml?id=808107 Parks Capital-Investment in US Retail, Inc. Harvard Business School Case 208-104 Parks Capital acquired a Children's Apparel... View Details

Keywords: Martha Lagace

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

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