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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.edu

This 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.edu

1 - Challenges And Lessons Learned From Influencing National

Policy Change In Organ Transplant

Sanjay Mehrotra, Northwestern,

mehrotra@northwestern.edu

Policy 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.edu

3 - Panelist

Sommer Gentry, US Naval Academy,

gentry@usna.edu

4 - Panelist

Baris Ata, Northwestern University, a, Evanston, IL, 1, United

States,

baris.ata@chicagobooth.edu

5 - Panelist

Tim L. Pruett, American Society of Transplant Surgeons (ASTS),

Arlington, VA, 22202, United States,

tlpruett@umn.edu

6 - Panelist

Yolanda Becker, United Network of Organ Sharing (UNOS),

Chicago, IL, United States,

ybecker@surgery.bsd.uchicago.edu

SC23

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.edu

1 - A Data-Driven Approach To Managing Food Safety In Global

Supply Chains

Amine Anoun, Massachusetts Institute of Technology,

aanoun@mit.edu

Economically 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.edu

We investigate how the structure of farming supply chains and regulatory

measures are correlated with the risk of economically motivated adulteration of

food

products.We

define 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.edu

1 - Changes In Persistence Of Performance Over Time

Claudine Gartenberg, New York University, Stern Business School,

New York, NY, 1, United States,

cgartenb@stern.nyu.edu

Victor 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