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INFORMS Nashville – 2016
76
3 - Social Desirability Bias In Self-reported Compliance With
Hand-hygiene Regulations
Reidar Hagtvedt, University of Alberta School of Business, 2-43
Business Building, Edmonton, AB, T6G 2R6, Canada,
hagtvedt@ualberta.ca,Kenneth L. Schultz, Sarah Forgie
We posit Social Desirability Bias (SDB) as an explanation for why self-reported
compliance with hand-hygiene (HH) regulations is so much higher than observed
compliance. SDB breaks down into self-deception and image management. Using
data gathered at a large teaching hospital over six years, we first show that in
spite of the two measures being nearly uncorrelated, respondents do know
something of their own compliance rate, and secondly, that image-management is
a greater effect than self-deception.
4 - Reducing Surgical-site Infections For Coronary Artery Bypass
Graft Patients
Eva Lee, Georgia Tech,
evakylee@isye.gatech.eduThis is joint with Grady Health Systems. A system-approach is designed to reduce
surgical site infection (SSI) which takes into account the inter-dependency of
preoperative, intraoperative and postoperative processes. A decision tree model
and a simulation-optimization model are developed to identify critical infection
factors. Changes involve pre-op sterilization, nasal cleaning, hair-clipping, and
optimized antibiotics prophylaxis timing and dosage. E-alerts are also
implemented for compliance. The hospital realized a drop of 65% in SSI (from
23% to 8%) in the first six months. It achieved zero percentage thereafter and
sustained that rate for 18 months.
SC22
107B-MCC
Joint Panel Session: ORHP/HAS/MSOM-Hlth:
Challenges and Lessons Learned from Influencing
National Policy Change in Organ Transplant
Invited: ORinformed Healthcare Policies
Invited Session
Moderator: Sanjay Mehrotra, Northwestern University, 2145 Sheridan,
Evanston, IL, 60208, United States,
mehrotra@iems.northwestern.edu1 - Challenges And Lessons Learned From Influencing National
Policy Change In Organ Transplant
Sanjay Mehrotra, Northwestern,
mehrotra@northwestern.eduPolicy changes are being debated nationally to reduce disparity and improve
efficiency in organ allocation. These issues are contentious within the transplant
community as such policy changes impact patient lives lost and finances at the
regional and national level. Operations research models have been used to help
arrive at recommendations in the past, but get questioned. This session will focus
on lesson learned from discussions with the transplant community that would be
helpful for policy related research in other areas of work in healthcare. The
panelists have worked closely with the transplant community as joint researchers,
advisors and reviewers of proposed changes.
2 - Panelist
Andrew J Schaefer, Rice University,
andrew.schaefer@rice.edu3 - Panelist
Sommer Gentry, US Naval Academy,
gentry@usna.edu4 - Panelist
Baris Ata, Northwestern University, a, Evanston, IL, 1, United
States,
baris.ata@chicagobooth.edu5 - Panelist
Tim L. Pruett, American Society of Transplant Surgeons (ASTS),
Arlington, VA, 22202, United States,
tlpruett@umn.edu6 - Panelist
Yolanda Becker, United Network of Organ Sharing (UNOS),
Chicago, IL, United States,
ybecker@surgery.bsd.uchicago.eduSC23
108-MCC
Risk Management in Global Food Supply Chains
Sponsored: Health Applications
Sponsored Session
Chair: Retsef Levi, MIT, 100 Main Street, Building E62-562, Cambridge,
MA, 02142, United States,
retsef@mit.edu1 - A Data-Driven Approach To Managing Food Safety In Global
Supply Chains
Amine Anoun, Massachusetts Institute of Technology,
aanoun@mit.eduEconomically motivated adulteration poses a serious threat to public health.
Prevention is achieved by sampling food shipments. However, the sampling
resources are limited. In an effort to mitigate risk in the shipping supply chains,
we develop a data-driven approach to identify risky manufacturers. We obtained
over 850,000 shipment records of shrimp to the U.S. from the FDA. We
determine structural features of shipping supply chains that correlate with risk of
adulteration, at the global scale and in China. We use a Bayesian approach to
model both the risk of adulteration, and the sampling procedure of the FDA, and
show that our model predicts high risk manufacturers with high accuracy.
2 - Economically Motivated Adulteration In Agriculture Supply Chains
Somya Singhvi, Massachusetts Institute of Technology,
Cambridge, MA, United States,
ssinghvi@mit.edu,Retsef Levi,
Yanchong Zheng
We study how dispersion and quality uncertainty affect adulteration risk in
agriculture supply chains. Our model captures the effects of testing accuracy and
traceability on adulteration decisions by suppliers. We characterize conditions
under which adulteration risk increases with dispersion or quality uncertainty.
Further, we also analyze quality assurance policies for manufacturers in the
presence of a risk threshold.
3 - The Role Of Farming Supply Chain Structure In Driving
Economically Motivated Food Adulteration
Shujing Wang, Massachusetts Institute of Technology-ORC,
shujing@mit.eduWe investigate how the structure of farming supply chains and regulatory
measures are correlated with the risk of economically motivated adulteration of
food
products.Wedefine the dispersion of a farming supply chain, which
measures how distributed a food manufacturer’s farming sources are. We collect
farm-level data on over 1,000 Chinese manufacturers in the honey, pork, poultry,
egg, and seafood industries to quantify the dispersion of their farming supply
chains. Combining farm-level data and quality data, we show that a more
dispersed farming supply chain is more prone to the risk of economically
motivated adulteration.
SC24
109-MCC
Dynamics of Competition
Invited: Strategy Science
Invited Session
Chair: Daniel Levinthal, Wharton School, University of Pennsylvania,
Philadelphia, PA, 19104, United States,
dlev@wharton.upenn.edu1 - Changes In Persistence Of Performance Over Time
Claudine Gartenberg, New York University, Stern Business School,
New York, NY, 1, United States,
cgartenb@stern.nyu.eduVictor Bennett
One of the central puzzles of strategy is the persistence of superior performance.
About a decade ago a stream of research emerged looking at changing persistence
over time and finding a trend toward a new “age of temporary advantage”. We
extend the time series from these analyses and introduce new tools from the
literatures on social mobility and economic growth. We find that the trend
reversed itself and the beginning of the 21st century has been characterized by
increasing persistence of superior performance. This trend is not due to changes in
industry composition or newly public listings. Instead we report this reversal both
within and across industries and primarily within established firms.
SC22