2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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Music Row 1- Omni
Advances in Research Exploring the Link between
Learning and Innovation
Sponsored: Technology, Innovation Management &
Entrepreneurship
Sponsored Session
Chair: Onesun Steve Yoo, University College London, One Canada
Square, London, E14 5AB, United Kingdom,
1 - Design Of Resource Competitions For R&D Projects
Pascale Crama, Singapore Management University,
Academic research is funded by governments as well as by university
administered research funds (UARF) at research universities. Government
funding is based on arm’s length, competitive peer reviews of project proposals,
whereas UARF funding is more relationship-based. We evaluate the impact of
these two funding sources and their differing funding rules on the novelty of the
projects being funded and social welfare creation. Our research points to the
importance of an appropriate design of the two-stage funding system to increase
social welfare.
2 - Staged Ideation In Crowdsourced Problem Solving
Nilam Kaushik, University College London,
Crowdsourcing ideation platforms are increasingly gaining traction and are being
used by firms to tap into the wisdom of crowds to generate ideas and to solve
problems. Some such platforms are based on a multi-staged ideation paradigm
where ideas are elicited from the user community for an open problem. A few
ideas are selected for further refinement which involves updating the idea based
on feedback from the user community. Refined ideas are subsequently evaluated
and a subset is chosen for winning. Using a novel dataset from a crowdsourcing
innovation platform, we investigate factors that affect the selection of an idea into
the refinement stage and further into the winning stage.
3 - Research And Development Competition With Spillovers And
Uncertain Completion Times
Wenxin Xu, University of Illinois at Urbana-Champaign,
Dharma Kwon, Jovan Grahovac
We examine a game-theoretic model of two firms that are competitively engaged
in R&D projects and address two questions: (1) What is the impact of natural
spillover upon innovative firms’ payoffs? (2) Does an innovative firm have an
incentive to unilaterally increase the spillover to its competitor? To answer these
questions, we investigate the impact of natural spillover on R&D investment
strategies when the R&D completion times are uncertain and either firm can
receive spillover from the other. We characterize the Nash equilibrium of the
model and find that natural spillover may or may not diminish the profit of the
more efficient firm.
4 - A Theoretical Analysis Of The Lean Startup’s Agile Product
Development Process
Onesun Steve Yoo, University College London,
, Tingliang Huang, Kenan Arifoglu
We provide a theoretical foundation for the lean startup’s agile product
development process. It helps us better understand why lean start-up works, and
also predict when it does not work. We discuss the implications of our results to
research and practice.
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Music Row 2- Omni
Mathematical Modeling and Data Analytics in the
Service Industry
Sponsored: Service Science
Sponsored Session
Chair: Mohammadsadegh Mobin, Western New England University,
1215, Wilbraham road, WNE university, Springfeild, MA, 01119,
United States,
Co-Chair: Zhaojun Li, Western New England University, 1215,
Wilbraham Road, WNE University, Springfield, MA, 01119, United
States,
1 - Analyzing The Predictive Power Of Early Warning Systems
In Healthcare
Nasibeh Azadeh-Fard, Visiting Professor, Rochester Institute of
Technology, Industrial and Systems Engineering Department,
Rochester, NY, 14623, United States, ,
Navid Ghaffarzadegan, Jaime Camelio
Early warning systems have been widely used in healthcare to predict adverse
outcome. The prediction power of early warning systems, however, is an
empirical question. The objective of this study is to assess the predictive power of
early warning systems and prognostic risk indicators in predicting different
outcomes in health such as mortality, disease diagnosis, adverse outcomes, care
intensity, and survival.
2 - Reverse Bullwhip Effect In Pricing In Retail Industry
Ziaul Haq Adnan, University of North Carolina at Charlotte,
Charlotte, NC, United States,
Ertunga Ozelkan
Bullwhip effect in pricing refers to the amplified variability of prices. If the
variability is amplified towards downstream (upstream), we refer to it as reverse
(forward) bullwhip effect in pricing. In this paper, we consider both simultaneous
and sequential (e.g. wholesale and retail leading) game structures. We show
analytical results and parametric examples for concave, linear, and convex
demand functions. We conclude that forward bullwhip effect in pricing occurs for
all concave and linear demand functions, and reverse bullwhip effect in pricing
occurs for some convex demand function. The rate of amplification of variability
in prices varies for different game structure.
3 - A Simulation Approach To Plan DesignV&V Activities For The New
Product Reliability Improvement
Mohammad Sadegh Mobin, Western New England University,
1215 Wilbraham Road, Springfield, MA, 01119,
United States, , Zhaojun Li,
Mohammad Dehghanimohammadabadi
Product failure modes, their effects, and a set of verification and validation (V&V)
activities are outputs of conducting the design failure modes and effect analysis
(DFMEA) in the early stages of developing a new product. A robust method for
planning V&V activities is needed to mitigate all critical design failure modes by
considering cost and timeframe constraints. In this paper, an integrated
simulation-DEA (Data Envelopment Analysis) model is proposed to provide the
efficient product design V&V activities’ plans by considering the uncertainty of
V&V process parameters.
4 - Design Of Coordinating Contracts In Volume Discount
Group Purchasing
Abdollah Mohammadi, University of North Carolina - Charlotte,
532 Lex Dr., Charlotte, NC, 28262, United States,
Ertunga Ozelkan
This study investigates supply chain coordination using contracts in the context of
group purchasing (GP), where there is a supplier, a GP agent and multiple
customers. In GP the underlying contract between a supplier and the GP agent is
quantity discount, while between the agent and the customers it can be a
different type of contract. In this study, we specifically investigate revenue sharing
or buyback contracts and discuss how and when they coordinate and align
objectives of all members of the supply chain.
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Music Row 3- Omni
Emerging Topics in Service Operations
Sponsored: Service Science
Sponsored Session
Chair: Mike Pinedo, NYU, NYU, NYC, NY, 10012, United States,
Co-Chair: Yuqian Xu, NYU, NYU Stern School of Business, NYC, NY,
10012, United States,
1 - Vertical Opaque Selling Under Demand Uncertainty
Rachel Chen, UC Davis,
This paper studies opaque selling with vertically differentiated products when
demand is uncertain. The quality of the product a consumer receives depends on
the realization of the random demand. We show that it is more profitable to offer
an opaque product of the vertically differentiated products than to offer a
transparent product line.
2 - When Prospect Theory Meets Consumer Choice Models
Ruxian Wang, Johns Hopkins Carey Business School,
Baltimore, MD, 21202, United States,
According to prospect theory, when the price is higher or lower than a reference
point, customers perceive a utility loss or gain. We incorporate the extra utility
changes into popular choice models. An empirical study shows that the new
choice models can better characterize customer choice behavior.
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