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Publications

Publications

Filter Results: (8) Arrow Down
Filter Results: (8) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (8)
    • Research  (8)
  • Faculty Publications  (3)

Show Results For

  • All HBS Web  (8)
    • Research  (8)
  • Faculty Publications  (3)
Page 1 of 8 Results
  • 30 Jun 2019
  • Working Paper Summaries

The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training

Keywords: by Doug J. Chung, Byungyeon Kim, and Byoung G. Park
  • 06 Jul 2017
  • Working Paper Summaries

Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited

  View Details
Keywords: by Doug J. Chung, Byungyeon Kim, and Byoung Park; Pharmaceutical
  • 13 Jun 2017
  • First Look

First Look at New Research and Ideas, June 13

Efforts Pay Off? Dynamic Panel Data Methods Revisited By: Chung, Doug J., Byungyeon Kim, and View Details
Keywords: Sean Silverthorne
  • 28 Aug 2018
  • First Look

New Research and Ideas, August 28, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54899 forthcoming Management Science How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework By: Chung, Doug J., View Details
Keywords: Dina Gerdeman
  • 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
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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.
  • 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
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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.
  • 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
Citation
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Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
  • 10 Apr 2018
  • First Look

First Look at New Research, April 10, 2018

Doug J., Byungyeon Kim, and Byoung Park Abstract—We estimate a sales response model... View Details
Keywords: Sean Silverthorne
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