Informs Annual Meeting 2017

SA26

INFORMS Houston – 2017

SA27

3 - Archetypes of Entrepreneurship: From Ideas to Products to Funding Hyunwoo Park, The Ohio State University, Columbus, OH, 43210, United States, park.2706@osu.edu, Asifur Mehedi, Aleksi Aaltonen We analyze a series of interviews with entrepreneurs using text mining to extract representative features. We focus on identifying different pathways of how entrepreneurs develop ideas into viable products or services. Since different products and services have different funding requirements, we further investigate the relationship between the idea-product pathways and funding types and amount by augmenting our sample with startup funding data. 4 - Incentives and Competition in Innovation Contests with Public Submissions: Can “Star” Power Help or Hurt Competition? Anant Mishra, George Mason University, Fairfax, VA, United States, amishra6@gmu.edu, Jesse Bockstedt, Cheryl Druehl Innovation contests allow firms to harness specialized skills of participants with diverse backgrounds for solving challenging business problems. We use detailed data on contest and contestant characteristics from a popular online logo-design contest platform with public submissions to examine the role of incentives on the competitive environment of contests.

350C Social Media Analytics Best Student Paper Competition Invited: Social Media Analytics Invited Session Chair: Michel Ballings, University of Tennessee, Knoxville, TN, 37996, United States, michel.ballings@utk.edu 1 - Social Media Analytics Best Student Paper Competition Michel Ballings, University of Tennessee, University of Tennessee, Knoxville, TN, 37996, United States, michel.ballings@utk.edu The section prize committee selected these finalists to come and present their student-led work. Invited: Auctions Invited Session Chair: Martin Bichler, Technische Universitat Munchen, Munich, 85748, Germany, bichler@in.tum.de 1 - Core-Selecting Auctions in the Laboratory Marion Ott, RWTH Aachen University, Templergraben 64/V, Aachen, 52062, Germany, marion.ott@rwth-aachen.de, Alexander Heczko, Thomas Kittsteiner We experimentally analyze core-selecting auctions (CSA) and find that they perform better than Vickrey auctions. The proportions of efficient allocations are similar in both types of auctions, but the proportions of stable (core) allocations and the revenue are higher in the CSA. We observe this for two different informational setups, one in which theory predicts the better performance of the CSA and one in which it does not. We trace the causes of the performance differences back to patterns in bids and find that bidders in the CSA react to incentives to deviate from reporting truthfully in the predicted direction, though less pronounced than predicted. 2 - The Value of Sharing Intermittent Spectrum Rakesh Vinay Vohra, University of Pennsylvania, Economics Department, 3718 Locust Walk, Philadelphia, PA, 19104, United States, rvohra@sas.upenn.edu, Randall Berry, Micheal Honig, Thanh Nguyen, Vijay Subramanian Recent initiatives by regulatory agencies to increase spectrum resources available for broadband access include rules for sharing spectrum with high-priority incumbents. We study a model in which wireless Service Providers (SPs) charge for access to their own exclusive-use (licensed) band along with access to an additional shared band. The shared band is intermittently available with some probability, due to incumbent activity, and when unavailable, any traffic carried on that band must be shifted to licensed bands. 3 - On the Design of Combinatorial Exchanges Martin Bichler, Technische Universitat Munchen, Department of Informatics, Boltzmannstr. 3, Munich, 85748, Germany, bichler@in.tum.de Linear and anonymous competitive equilibrium prices are desirable in multi-item auctions, but unfortunately they do not always exist in non-convex markets. We discuss the market design for a large-scale combinatorial exchange for fishery access rights. The specifics of the allocation problem lead to different ways on how allocation and payments are computed. We analyze trade-offs of different payment rules relevant to an auction designer. Similar market design problems can be found in other parts of the world and other application domains. 4 - Reducing Congestion through Information Design Sanmay Das, Washington University in St. Louis, Dept. of Computer Science & Engg., One Brookings Dr, CB 1045, Saint Louis, MO, 63130, United States, sanmay@wustl.edu, Emir Kamenica, Renee Mirka We consider the problem of designing information structures in games of uncertain congestion, like road traffic networks where the level of traffic is unknown. Using the framework of Bayesian persuasion, we show that we can devise signal structures that mitigate congestion and improve social welfare. SA28 350D Market Design

SA26

350B Applications and Innovations in DEA Invited: Data Envelopment Analysis Invited Session

Chair: Andrew L. Johnson, Texas A&M University, 3131 TAMU, 4033 Emerging Technologies Bldg, College Station, TX, 77843-3131, United States, ajohnson@tamu.edu 1 - Robust Benchmarking and Efficiency Estimation using Quantiledea (QDEA): Methodology and Statistical Properties Joseph Atwood, Montana State University, Bozeman, MT, United States, jatwood@montana.edu, Saleem Shaik LP DEA models can estimate efficiency metrics but suffer from sensitivity to outliers and data noise. Quantile-DEA (qDEA) enables the analyst to use LP while allowing up to q-percent of data points to lie external to the efficiency hull. Procedures utilized in qDEA are applicable to a broader class of “relaxed constraint” LP problems where the analyst wishes to allow up to a proportion of endogenously identified constraints to be violated. We present the theory of relaxed constraint LP models, the qDEA model, the statistical properties of qDEA estimators, and examples where qDEA is used to address data outliers and obtain quantile performance benchmarks. 2 - Nutrient Profiling using Data Envelopment Analysis Thomas Raymond Sexton, Professor, Stony Brook University, 5 Linden Lane, Farmingville, NY, 11738-1154, United States, Thomas.Sexton@StonyBrook.edu, Christine Pitocco Nutrient profiling models summarize the complex array of nutritional data associated with a food item to help consumers make better food purchasing decisions. Many models rely on somewhat arbitrary thresholds that change over time. We use Data Envelopment Analysis to develop a novel and highly flexible nutrient profiling model that requires no thresholds. We illustrate the model on purported “superfoods.” 3 - Beyond DEA: How What We Learned from DEA Can Be Used in Analytics Jose H. Dula, Virginia Commonwealth University, Richmond, VA, 23284, United States, jdula@vcu.edu Much of today’s big data is non-parametric. The concepts and tools used in DEA can be adapted and extended to many aspects of the analytics of such data. Familiarity with DEA means understanding sophisticated optimization duality relations widely used in computational geometry. DEA algorithms can be applied directly to all sorts of data to extract interesting information. The additive model in DEA involves the L1 norm, an intensely explored norm in analytics because of its desirable robustness properties. In this talk we discuss how knowledge of DEA can prepare researchers to make contributions in big data analytics. 4 - Lost Economies of Scope and Merger Gains in Norwegian Electricity Industry Ørjan Myland, Inland Norway University of Applied Sciences, Lillehammer, Norway, Orjan.Mydland@inn.no In 2016, the Norwegian Parliament amended the Energy Act, with changes tak- ing effect from 2019. The amended legislation will introduce strict separation of all generation- and distribution companies within the electricity industry in Norway. Economies of scope studies from Norway shows evidence of large economies of scope. Further, the companies in the industry could utilize the economies of scale potential if they would merge. In this paper, I perform merger analysis to investigate best- and worst scenario outcomes regarding the cost effects on the industry from the amendments in the Norwegian Energy act.

12