INFORMS Philadelphia – 2015
139
3 - Educational Mismatch, Work Outcomes, and Entry
into Entrepreneurship
Briana Sell, Georgia Institute of Technology, Atlanta, GA,
United States of America,
briana.sell@scheller.gatech.edu,Henry Sauermann
A growing body of research explores how employees’ organizational context
shapes entrepreneurial activity. We contribute to this line of work by examining
how “educational mismatch”– when a job does not utilize the skills an employee
has acquired during formal education – relates to subsequent transitions into
entrepreneurship. While prior research has focused on mismatch due to labor
market frictions, workers may also enter mismatches for a variety of other
reasons such as a change in career interests or family obligations. Different
reasons, in turn, may relate in distinct ways to wages and job satisfaction and thus
to the opportunity costs of entering entrepreneurship. Moreover, mismatch may
also affect human capital development, including the formation of a broader
range of skills that is beneficial in entrepreneurship. Using longitudinal data from
over 22,000 scientists and engineers, we document a broad range of reasons for
educational mismatch and show that the relationships between educational
mismatch and wages, job satisfaction and skill variety differ significantly
depending upon the reason for a mismatch. Mismatched individuals are more
likely to enter into entrepreneurship in a subsequent period, an effect that goes
beyond higher labor mobility per se. In addition to lower opportunity costs,
greater skill variety appears to be an important factor linking educational
mismatch to subsequent entrepreneurship. We discuss implications for research,
managers, and policy makers.
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60-Room 111A, CC
Publications in Education
Sponsor: INFORM-ED
Sponsored Session
Chair: Susan Palocsay, Professor, James Madison University, CIS &
BSAN Department, Harrisonburg, VA, 22807, United States of America,
palocssw@jmu.edu1 - Education Issues in the Wiley Encyclopedia of OR/MS
Susan Palocsay, Professor, James Madison University, CIS &
BSAN Department, Harrisonburg, VA, 22807,
United States of America,
palocssw@jmu.eduThis presentation will give a synopsis of articles on Education Issues in the Wiley
Encyclopedia of OR/MS. This topic area is aimed at providing a reference on
pedagogical methods and instructional materials for teaching OR/MS. The process
for developing a new article will be described with discussion of possible subjects.
2 - Panel Discussion: Publishing in Informs Transactions
on Education
Armann Ingolfsson, University of Alberta, University of Alberta,
Edmonton, Canada,
aingolfs@ualberta.ca,Moderator: Jill Wilson,
Panelists: Anita Tucker, Jeroen BeliÎn
The panelists include ITE editors and authors who have published recently in ITE.
The authors will discuss their experiences with submitting articles to ITE. The
editors will provide suggestions to authors who wish to submit their work to
ITE—in particular, articles about case studies and about educational games.
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61-Room 111B, CC
Decision Analysis IV
Contributed Session
Chair: David Rogers, University of Cincinnati, Carl H. Lindner College
of Business, Operations, Business Analytics, and IS, Cincinnati, OH,
45221-0130, United States of America,
David.Rogers@UC.edu1 - Comparative Techno-economic Analysis of Biofuel Production
Considering Logistic Settings
Qi Li, Iowa State University, 0076 Black Engineering, Ames, IA,
50011, United States of America,
qili@iastate.edu,Guiping Hu
A new comparative techno-economic analysis methodology is introduced of
commercial biorefinery by considering the practical logistic settings and
constraints. This new method would give benefit for pathway selection and
parameters estimation. A case study of Iowa is conducted to illustrate and validate
the proposed methodology.
2 - Optimization of Maintenance Policy in the Presence of
Competing Risks
Nilofar Varzgani, PhD Student, Rutgers Business School, 1
Washington Park, Newark, NJ, 07102, United States of America,
nilofarv@scarletmail.rutgers.com, Michael Katehakis,
Suresh Govindaraj
We study the optimal replacement and maintenance policy for a single unit
system which undergoes periodic inspection in order to decide if the system
should be replaced or not. The system is subject to competing risks of
deterioration; regular depreciation due to usage and random shocks. We model it
as a discrete time semi-markovian process and use competing risk models to
search for the existence of an optimal replacement and maintenance policy.
3 - Decision-Making for Portfolio Optimization using
Information Entropy
David Rogers, University of Cincinnati, Carl H. Lindner College of
Business, Operations, Business Analytics, and IS, Cincinnati, OH,
45221-0130, United States of America,
David.Rogers@UC.edu,
George Polak
Information entropy, a measure of the uncertainty based upon the probabilities
encountered, is appropriate for decision makers wanting to proactively deal with
risk. An optimization model for a risk-return trade-off will be examined with
entropy as either the objective to minimize subject to a constraint on expected
returns or expressed as an upper-bounded constraint for the objective of
maximizing return. A comparison to other objectives will be assessed with a
portfolio optimization setting.
4 - Why Classical Hybrids are so Risky for Entrepreneurs,
and What to do About It
Gaston De Los Reyes, Assistant Professor, George Washington
University School of Business, 2201 G St. NW, Funger 615,
Washington, DC, 20052, United States of America,
gdlr@gwu.eduWilliamson (1991) insufficiently characterized the institutions of hybrid
governance, emphasizing forms that feature neoclassical devices to co-govern past
contract close. Entrepreneurs, however, frequently resort to hybrids of classical
form, lacking terms to protect from ‘lawful’ opportunism in case of disruption. I
explicate the implications, drawing upon my dissertation study of contract law. I
discuss a novel institutional solution and managerial strategies for the status quo.
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62-Room 112A, CC
Transportation
Contributed Session
Chair: Mohammed Obeidat, Kansas State University, Manhattan, KS,
66502, United States of America,
moh2001ie@yahoo.com1 - Forecasting Bike Sharing Demand in New York City:
A Study of Environmental Factors
Stanislav Mamonov, Assistant Professor, Montclair State
University, 1 Normal Ave, Montclair, NJ, 07043, United States of
America,
stanislav.mamonov@montclair.edu, Andrada Ivanescu
Bike-sharing programs are universally praised for their potential to provide a
sustainable and eco-friendly public transportation option. In a year since its
launch, NYC Citi Bike program became the largest bike-sharing program in North
America with over 100,000 annual members. In this study, we perform
functional regression modeling of environmental factor (temperature, humidity,
wind, rain, etc.) impact on the demand for Citi bikes in NYC to assist in system
rebalancing efforts.
2 - Reliability-based Bridge Maintenance and Rehabilitation Budget
Planning and Allocation
Haotian Liu, Rutgers, The State University of New Jersey, 100
Brett Road, Piscataway, NJ, 08854-8018, United States of
America,
yunbai.cait@rutgers.edu, Ali Maher, Yun Bai
This research develops a reliability-based model to mitigate infrastructure
deterioration uncertainty for optimal planning and allocation of annual budgets
for bridge maintenance and rehabilitation, a process that minimizes total social
costs, the sum of agency- and user- costs, for a network of bridges. The risk of
budget overruns can be reduced by explicitly considering budget variances
quantified through our proposed model.
3 - A Hybrid Algorithm for Bicycle Network Design
Chin Sum Shui, The University of Hong Kong, Seat 16, Room
LG208, Composite Building, Pokfulam Road, Hong Kong,
Hong Kong - PRC,
samshui2004@hotmail.com,Wy Szeto
This study introduces a bicycle network design problem that maximizes coverage
and demand satisfaction within a limited budget. Two metaheuristics, Genetic
Algorithm and Artificial Bee Colony Algorithm, are combined to solve this
network design problem. Computational experiments are conducted and showed
that this hybrid algorithm outperforms both GA and ABC in solving large-scale
bicycle network design. The tradeoff between two objectives is investigated
through varying the weighting factor.
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