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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.edu

1 - 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.edu

This 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.

SD61

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.edu

1 - 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.edu

Williamson (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.

SD62

62-Room 112A, CC

Transportation

Contributed Session

Chair: Mohammed Obeidat, Kansas State University, Manhattan, KS,

66502, United States of America,

moh2001ie@yahoo.com

1 - 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.

SD62