Informs 2015

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INFORMS Philadelphia – 2015
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2 - Big Data in the Energy Industry
Margery Connor, Chevron, 6001 Bollinger Canyon, F-2080,
San Ramon, CA, 94583,
This presentation will discuss our internal efforts to build a big data platform. It
will include a couple of use cases. It will also include challenges and lessons
learned.
3 - Emerging Applications of Optimization in the Energy Industry
Haraldur Haraldsson, Aimms Optimization Specialist, AIMMS,
500 108th Avenue NE, Ste. #1780, Suite 1780, Bellevue, WA,
98004, United States of America,
With data analytics and optimization gathering focus in many organizations, there
is an increased opportunity to leverage advanced analytics. We will share some
examples on potential use of advanced analytics in the energy industry for future
cases.
MA59
59-Room 110B, CC
Strategy, Innovation, and Entry
Cluster: Strategy Science
Invited Session
Chair: Hart Posen, University of Wisconsin, 4263 Grainger Hall, 975
University Avenue, Madison, WI, 53705, United States of America,
1 - Spinout Formation and Parent Firm Performance:
A Multi-industry Examination
Seth Carnahan, University of Michigan, 701 Tappan St., R4460
Ross School of Business, Ann Arbor, MI, 48104, United States of
America, , Benjamin Campbell,
Rajshree Agarwal
Some scholars find an increase in firm performance when former employees
create startup organizations (“spinouts”), while others find a decrease. We
articulate the competing mechanisms that underlie these positive and negative
results, and we argue that conflicting findings are driven largely by industry
differences. We utilize a multi-industry sample based on US Census microdata
that allows us to identify and test the competing mechanisms.
2 - Spinout Formation: Do Opportunities and Constraints Benefit
High Human Capital Founders?
Natarajan Balasubramanian, Syracuse University, 721 University
Ave, Syracuse, NY, United States of America,
Mariko Sakakibara
Using a large sample of individuals who formed spinouts and their co-workers
who did not, we how industry contexts affect the relative advantage of high
human capital founders. We find that such individuals are less likely to form
spinouts in capital-intensive and R&D-intensive industries. This suggests that in
capital intensive industries, high human capital founders face greater constraints
while R&D intensive industries offer opportunities for both high and low human
capital founders.
3 - Entrepreneurial Joiners
Michael Roach, Cornell University, Dyson School, Ithaca, NY,
14853, United States of America, ,
Henry Sauermann
Startups rely not only on founders, but also on “joiners”–individuals attracted to
entrepreneurship as an employee rather than a founder. We find that individuals
with joiner interests share preferences for entrepreneurial job attributes often
considered unique to founders, but differ with respect to contextual factors. This
study reveals that preferences and context interrelate in unique ways to shape
entrepreneurial interests and highlights joiners as a distinct type of
entrepreneurial actor.
4 - (how) Do Individual Characteristics Influence Resource Allocation
and Competitive Advantage?
Michael Leiblein, Ohio State University, Fisher College of
Business, Columbus, OH, 43220, United States of America,
, Barclay Burns, Sheen Levine
A fundamental issue in the field of strategic management regards the
identification of sources of competitive advantage. Why do firms differ and how
do managers influence firm behavior? If individuals matter and theories of
competitive advantage are correct, then unique individuals should differ in their
resource allocation decisions and outcomes. This proposal promises to report
emerging evidence associating individual characteristics, resource allocation
decisions, and competitive advantage.
MA60
60-Room 111A, CC
Enabling Business Students to Use OR
Sponsor: INFORM-ED
Sponsored Session
Chair: Thomas Grossman, Professor, University of San Francisco, School
of Management, 101 Howard St., Suite 500, San Francisco, CA, 94105,
United States of America,
1 - Teaching Modeling to Business Students
Wendy Roth, Assistant Professor, Georgia State University,
6230 Forest Park Dr, Signal Mountain, TN, 37377,
United States of America,
Due to the popularity of business analytics, interest in business modeling classes
appears to be increasing. When considering the student skill level as compared to
a few years ago, this has resulted in a broader variety of student backgrounds, not
necessarily self- selected based on a strong math background. This session will
discuss some of those differences and modifications made to the classroom to help
address these differences.
2 - Teaching Distribution Planning: A PBL Approach
Alex Grasas, Associate Professor, EADA Business School, Arago
204, Barcelona, Spain, , Helena Ramalhinho
This work presents a problem-based learning (PBL) activity that uses a decision
support system (DSS) to teach one of the most fundamental topics in distribution
planning: vehicle routing. This pedagogical activity, employed in a logistics and
supply chain management course, also seeks to create awareness among students
on the importance of DSS for complex problems. The paper is written as a
teaching guide for other instructors, detailing how the activity may be carried out
in class.
3 - Spreadsheet Engineering: The Foundation for OR/MS
Applications by Business Students
Vijay Mehrotra, Professor, University of San Francisco, School of
Management, 101 Howard St., Suite 500, San Francisco, CA,
94105, United States of America, ,
Thomas Grossman, Mouwafac Sidaoui
To access the power of OR/MS on non-trivial models, business students must first
learn to apply software engineering principles to develop high quality
spreadsheets. We have developed a methodology for teaching this skill to business
students, many of whom have little or no relevant technical experience prior to
our course. This talk describes how we successfully teach business students to
build complex spreadsheet models that then serve as the foundation for OR/MS
applications.
MA61
61-Room 111B, CC
Transmission and Generation Expansion Planning
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Enzo Sauma, Pontificia Universidad Catolica de Chile, Santiago,
Chile,
1 - Risk-averse Transmission and Generation Planning:
A WECC Case Study
Harry Van Der Weijde, University of Edinburgh, The King’s
Buildings, Mayfield Road, Edinburgh, EH9 3JL, United Kingdom,
Francisco Munoz, Benjamin Hobbs,
Jean-paul Watson
We investigate the effects of risk aversion on optimal transmission and generation
expansion planning. To do so, we formulate a stochastic model in which
transmission and generation planners minimize a weighted average of expected
costs and their conditional values at risk. This model is then applied to a 240-bus
representation of the Western Electricity Coordinating Council, in which we
examine the impact of risk aversion on levels and spatial patterns of investment,
costs, and prices.
2 - Robust Transmission Expansion Planning
Antonio Conejo, Prof., The Ohio State University, 286 Baker
Systems Engineering, 1971 Neil Avenue, Columbus, OH, 43210,
United States of America,
This presentation discusses a number of critical issues to successfully design and
implement transmission expansion planning algorithms using an adaptive robust
optimization approach. These issues include formulation format, selection of
robust sets, sensitivity analysis, and out-of-sample simulation.
MA61