John Hershey

Anheuser-Busch Professor Emeritus of Management Science at Wharton at The Wharton School

Biography

The Wharton School

Education

  • PhD, Stanford University, 1970
  • MS, Stanford University, 1970
  • BS, Carnegie Mellon University, 1965

Recent Consulting

National Cancer Institute, Bristol MyersSquibb, National Institutes of Health

Career and Recent Professional Awards; Teaching Awards

  • Excellence in Teaching Award, Undergraduate Division, 2010, 2013
  • Named a "Favorite Course" by MBA Program for Executives, 2005
  • MBA Program for Executives Core Teaching Award, 2004
  • Distinguished Service Award, Society for Medical Decision Making, 2003
  • MillerSherrerd MBA Core Teaching Award, 1994, 1995, 1996, 1998, 1999, 2000, 2001
  • Anvil Award for Teaching Excellence, 1987
  • Graduate Division Class of 1984 Award for Highest Teaching Evaluation, 1988
  • Graduate Division Excellence in Teaching Award, 1988, 1989, 1990, 1991, 1992
  • Graduate Division Award for Excellence in Teaching Core Courses, 1992
  • Best Paper Award, Journal of Risk and Insurance, 1999

Academic Positions Held

Wharton: 1976present

  • AnheuserBusch Professor Emeritus of Management Science at Wharton, 2013 present
  • AnheuserBusch Professor of Management Science at Wharton, 2009 2013
  • Daniel H. Silberberg Professor, 19922009
  • Senior Fellow, Leornard Davis Institute of Health Economics, 1976 present
  • Chairperson, Operations and Information Management Department, 1995 97
  • Chairperson, Decision Sciences Department, 1989 92
  • Acting Executive Director, Leonard Davis Institute of Health Economics, 1983 84
  • Director of Research, Leonard Davis Institute of Health Economics, 1982 91
  • Director, Health Care Administration Program, 1976 82
  • Academic Director, Advanced Management Program, Wharton Executive Education, 2000 2005
  • Academic Director, Executive Development Program, 2005 2009
  • Academic CoDirector, Critical Thinking Program, Wharton Executive Education, 1997 2012
  • Academic Director, Advancing Business Acumen, Wharton Executive Education, 2012 present

Previous appointment: Stanford University

Other Positions

Robert Wood Johnson Health Policy Fellow, U.S. Congress, 197576

John C. Hershey (Working), Asymmetry in Price and Risk Elasticity for Term Life Insurance.

Raina M. Merchant, Heather Griffis, Yoonhee P. Ha, Austin Kilaru, Allison Sellers, John C. Hershey, Shawndra Hill, Emily KramerGolinkoff, Lindsay Nadkarni, Margaret Debski, Kevin Padrez, Lance B. Becker, David A. Asch (2014), Hidden in Plain Sight: A Crowdsourced Public Art Contest to Make Automated External Defibrillators More Visible , American Journal of Public Health,, 104, pp. 23062312.

Heather Griffis, Austin Kilaru, Rachel M. Werner, David Asch, John C. Hershey, Shawndra Hill, Yoonhee P. Ha, Allison Sellers, Kevin Mahoney, Charlene Wong, Raina M. Merchant (2014), Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization , Journal of Medical Internet Research, 16 (11), pp. 111.

AM Chang, Alison Leung, Olivia Saynisch, Heather Griffis, Shawndra Hill, John C. Hershey, Lance B. Becker, David Asch, A Seidman, Raina M. Merchant (2013), Using a Mobile App and Mobile Workforce to Validate Data About Emergency Public Health Resources , Emergency Medicine Journal, 3, pp. 545548.

Raina M. Merchant, David Asch, John C. Hershey, Heather Griffis, Shawndra Hill, Olivia Saynisch, Alison Leung, Jeremy Asch, Kirk Lozada, Lindsay Nadkarni, Austin Kilaru, Charles Branas, Larry Starr, Fran Shofer, Graham Nichol, Lance B. Becker (2013), A Crowdsourcing Innovation Challenge To Locate and Map Automated External Defibrillators , Circulation: Cardiovascular Quality and Outcomes, 6, pp. 229236.

John C. Hershey, “Biases in Clinical Reasoning”. In Evidence into Practice: Integrating Judgment, Values, and Research, edited by Laurita Hack and Jan Gwyer, (2013), pp. 4758

Alison Leung, David Asch, Kirkland Lozada, Olivia Saynisch, Jeremy Asch, Nora Becker, Heather Griffis, Frances Shofer, John C. Hershey, Shawndra Hill, Charles Branas, Graham Nichol, Lance B. Becker, Raina M. Merchant (2013), Where Are Lifesaving Automated External Defibrillators Located and How Hard is it to Find Them in a Large Urban City? , Resuscitation, 84, pp. 910914.

A. GurmankinLevy and John C. Hershey (2008), ValueInduced Bias in Medical Decision Making, Medical Decision Making, 28, 269276.

Abstract: Background. People who exhibit valueinduced bias— distorting relevant probabilities to justify medical decisions— may make suboptimal decisions. Objective. The authors examined whether and in what conditions people exhibit valueinduced bias. Design. Volunteers on the Web imagined having a serious illness with 2 possible diagnoses and a treatment with the same "small probability" of success for each diagnosis. The more serious diagnosis was designed as a clearcut decision to motivate most subjects to choose treatment; the less serious diagnosis was designed to make the treatment a closecall choice. Subjects were randomized to estimate the probability of treatment success before or after learning their diagnosis. The after group'' had the motivation and ability to distort the probability of treatment success to justify their treatment preference. In study 1, subjects learned they had the more serious disease. Consistent with valueinduced bias, the after group was expected to give higher probability judgments than thebefore group.'' In study 2, subjects learned they had the less serious disease, and the after group was expected to inflate the probability if they desired treatment and to reduce it if they did not, relative to the before group. Results. In study 1, there was no difference in the mean probability judgment between groups, suggesting no distortion of probability. In study 2, the slope of probability judgment regressed on desire for treatment was steeper for the after group, indicating that distortion of probability did occur. Conclusion. In closecall but not clearcut medical decisions, people may distort relevant probabilities to justify their preferred choices.

K. Viswanathan, J. Lemaire, K. Withers, K. Armstrong, A. Baumritter, John C. Hershey, M. Pauly, David A. Asch (2007), Adverse Selection in Term Life Insurance Purchasing Due to the BRCA Genetic Test and Elastic Demand, Journal of Risk and Insurance, 74, 6586.

Abstract: Consumer groups fear that the use of genetic testing information in insurance underwriting might lead to the creation of an underclass of individuals who cannot obtain insurance; thus, these groups want to ban insurance companies from accessing genetic test results. Insurers contend that such a ban might lead to adverse selection that could threaten their financial solvency. To investigate the potential effect of adverse selection in a term life insurance market, a discretetime, discretestate, Markov chain is used to track the evolution of twelve closed cohorts of women, differentiated by family history of breast and ovarian cancer and age at issue of a 20year annually renewable term life insurance policy. The insurance demand behavior of these women is tracked, incorporating elastic demand for insurance. During the 20year period, women may get tested for BRCA1/2 mutations. Each year, the insurer calculates the expected premiums and expected future benefit payouts which determine the following year's premium schedule. At the end of each policy year, women can change their life insurance benefit, influenced by their testing status and premium changes. Adverse selection could result from (i) differentiated benefits following test results; (ii) differentiated lapse rates according to test results; and (iii) differentiated reactions to price increases. It is concluded that with realistic estimates of behavioral parameters, adverse selection could be a manageable problem for insurers.

M. L. Dekay, John C. Hershey, M. D. Spranca, P. A. Ubel, D. A. Asch (2006), Are Medical Treatments for Individuals and Groups Like SinglePlay and MultiplePlay Gambles?, Judgment and Decision Making, 1, 134145.

Abstract: People are often more likely to accept risky monetary gambles with positive expected values when the gambles will be played more than once. We investigated whether this distinction between singleplay and multipleplay gambles extends to medical treatments for individual patients and groups of patients. Resident physicians and medical students (n = 69) and undergraduates (n = 99) ranked 9 different flu shots and a noflushot option in 1 of 4 combinations of perspective (individual patient vs. group of 1000 patients) and uncertainty frame (probability vs. frequency). The rank of the no flushot option (a measure of preference for treatment vs. no treatment) was not significantly related to perspective or participant population. The main effect of uncertainty frame and the interaction between perspective and uncertainty frame approached significance (0.1 > p > 0.05), with the noflushot option faring particularly poorly (treatment faring particularly well) when decisions about many patients were based on frequency information. Undergraduate participants believed that the noflushot option would be less attractive (treatment would be more attractive) in decisions about many patients, but these intuitions were inconsistent with the actual ranks. These results and those of other studies suggest that medical treatments for individuals and groups are not analogous to singleplay and multipleplay monetary gambles, perhaps because many people are unwilling to aggregate treatment outcomes over patients in the same way that they would compute net gains or losses over monetary gambles.

Past Courses

LGST206 NEGOTIATION/CONFLICT RES

This course examines the art and science of negotiation, with additional emphasis on conflict resolution. Students will engage in a number of simulated negotiations ranging from simple oneissue transactions to multiparty joint ventures. Through these exercises and associated readings, students explore the basic theoretical models of bargaining and have an opportunity to test and improve their negotiation skills.

MGMT291 NEGOTIATIONS

This course includes not only conflict resolution but techniques which help manage and even encourage the valuable aspects of conflict. The central issues of this course deal with understanding the behavior of individuals, groups, and organizations in conflict management situations. The purpose of this course is to understand the theory and processes of negotiations as it is practiced ina variety of settings. The course is designed to be relevant to the broad specturm of problems that are faced by the manager and professional including management of multinationals, ethical issues, and alternative dispute resolutions. Cross listed w/ LGST 206 & OPIM 291.

  • Excellence in Teaching Award, Wharton Undergraduate Division, 2013
  • Excellence in Teaching Award, Wharton Undergraduate Division, 2010
  • Named one of top 50 management science professors (in 225 American Business Schools), 2007
  • Named a “Favorite Course” by MBA Program for Executives, 2005
  • Core Teaching Award for MBA Program for Executives, 2004
  • Distinguished Lifetime Service Award, Society for Medical Decision Making, 2003
  • Graduate Division Core Teaching Award, The Wharton School, 2001
  • Graduate Division Core Teaching Award, The Wharton School, 2000
  • Best Paper Award, Journal of Risk and Insurance, 1999
  • Telecon Award for Best Continuing Education Program, awarded for Wharton’s Program in Building a Business Case, 1999
  • Graduate Division Core Teaching Award, The Wharton School, 1999
  • Graduate Division Core Teaching Award, The Wharton School, 1998
  • Graduate Division Core Teaching Award, The Wharton School, 1998
  • Graduate Division Excellence in Teaching Award, 1992
  • Graduate Division Excellence in Teaching Award, The Wharton School, 1991
  • Graduate Division Core Teaching Award, The Wharton School, 1990
  • Graduate Division Excellence in Teaching Awrd, The Wharton School, 1990
  • Graduate Division Excellence in Teaching Award, The Wharton School, 1989
  • Graduate Division Core Teaching Award, The Wharton School, 1989
  • Graduate Division Excellence in Teaching Award, The Wharton School, 1988
  • Graduate Division Class of 1984 Teaching Award, The Wharton School, 1988
  • Helen Kardon Moss Anvil Award for Teaching Excellence, The Wharton School, 1987
  • Award winner, “Society for Management Information Systems” Awards Paper Competition, 1973

Knowledge @ Wharton

  • Promises, Lies and Apologies: Is It Possible to Restore Trust?, Knowledge @ Wharton 07/26/2006
  • Vioxx and Other Painkillers: More Confusion, Less Relief?, Knowledge @ Wharton 03/30/2005
  • 2002: The Year of the Apology, Knowledge @ Wharton 12/04/2002
  • Genetic Testing’s Uneasy Relationship with Life Insurance, Knowledge @ Wharton 03/01/2000
  • Risk Management: Adding Information to Intuition, Knowledge @ Wharton 12/10/1999

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