Informs Annual Meeting 2017

TC38

INFORMS Houston – 2017

TC37

4 - Healthcare Supply Chain vs. Traditional Supply Chains: A Comparative Analysis Balaraman Rajan, Assistant Professor, California State University East Bay, 25800 Carlos Bee Blvd, Hayward, CA, 94542, United States, balaraman.rajan@csueastbay.edu, Vishwanath Hegde We compare and contrast the healthcare supply chain structure with that of traditional supply chains using publicly available financial data and analyzing financial ratios. We find that companies that operate in different stages of the healthcare supply chain do exhibit different characteristics and develop a framework to analyze the healthcare supply chain stages. We then draw inferences about the structural difference from traditional supply chains based on the performance of companies in comparable stages. 5 - How do Supply Chains Benefit from Supply Chain Finance? A Large Scale Empirical Investigation David Wuttke, EBS.Universität, Burgstr. 5, Oestrich-Winkel, 65375, Germany, david.wuttke@ebs.edu Supply chain finance gains increasing popularity among buyers and suppliers. In this study, we test a series of hypotheses on decisions and strategies related to the use supply chain finance in practice. Based on secondary data from a leading supply chain finance provider this study reveals substantial impact of supply chain finance on payment terms. 6 - Do Social Ties along the Supply Chain Foster Corporate Innovation? Audrey Mathews, Illinois Institute of Technology, 3300 South Federal Street, Chicago, IL, 60616, United States, amathew2@hawk.iit.edu, Jiong Sun, Yiwei Fang This paper investigates whether, and to what extent, managers’ social ties between suppliers and major customers foster alternative information channels which ultimately lead to innovation by the supplier. We find that with more social connections, supplier firms invest more in R&D, and in turn, generate more supplier patents and patent citations. We also find that these additional patents and citations are associated with greater firm value for the supplier, as well as for customer firms.

352B Managing Customer Contact Sponsored: Service Science Sponsored Session Chair: Moein Khanlari, University of New Hampshire, 10 Garrison Avenue, Room 313, Durham, NH, 03824, United States, moein.khanlari@unh.edu 1 - Feature Selection for Voice Self-Service Transfer Rate in Insurance Call Centers Rodrigo Andrade, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, United States, rcaporal@stevens.edu, Somayeh Moazeni We study effective features for the transfer outcome of a call arriving at the self- service voice response system based on customers’ information from massive data of an insurance company. Our findings indicate that the call duration, distinct channels of contact, average temperature, customer types, and specific intents are relevant features to determine whether the call is transferred. Although customers’ location is essential to select the active set of features we found no correlation between the country’s region and the selected features. Managerial insights into policyholders’ behavior are discussed. The algorithm is scalable and applicable to other business analytics applications. 2 - Impact of Extended Warranty Information Availability Strategies on Consumers’ Product and Warranty Purchase Decisions Moein Khanlari, University of New Hampshire, 10 Garrison Avenue, Room 313, Durham, NH, 03824, United States, moein.khanlari@unh.edu, Paul Messinger In this paper, we ask whether and how the availability of Extended Warranty(EW) information during product choice might affect buyers’ product and EW purchase decisions. Our results from a series of choice experiments show a combination of effects in this scenario that are attributable to two distinctive groups of customers. We observe lower sensitivity to EW prices combined with buying EWs for higher quality products (i.e. a reparative EW-focused mindset) attributable to risk-averse consumers, as well as a lower EW purchase likelihood associated with lower sensitivity to product prices (i.e. a preventative product- focused mindset) attributable to consumers with low risk aversion. 3 - Issues in Public Sector Service Paul R.Messinger, University of Alberta, Faculty of Business, 3-20e Faculty of Business Bldg, Edmonton, AB, T6G 2R6, Canada, paul.messinger@ualberta.ca We study problems for public consultation arising out of the long lifecycles of major municipal projects. We propose a framework that breaks the practice of public-involvement processes into Planning, Engagement, Impact, and Assessment/organizational learning. Conduct (or practice) is preceded by Commitment and followed by Outcomes. Using interview, survey, and field data, we consider the applicability of the framework and discuss the differences in public involvement processes of several U.S. and Canadian cities. 352C Multiple Criteria Optimization and Issues in Choice Behavior Sponsored: Multiple Criteria Decision Making Sponsored Session Chair: Hannele Elina Wallenius, Aalto University, Espoo, Finland, hannele.wallenius@aalto.fi 1 - Considerations of Choices with Decreasing Marginal Values Jyrki Wallenius, Aalto University School of Business, Runeberginkatu 22-24, Helsinki, Finland, jyrki.wallenius@aalto.fi, Tolga Genc, Pekka J.Korhonen, Xu Peng Our problem is to “fill” a basket with multiple goods using win-win and tradeoff strategies, assuming decreasing marginal value functions. Our ultimate goal is to increase knowledge of a Decision Maker’s (DM) behavior in such stepwise choice situations. A key question is how to find the Most Preferred Final Basket and how to recognize it. The basket can be filled either with identical or different (various) goods. Some empirical experiments are used to illustrate the considerations. TC38

TC36

351F 12:05 - 12:50 Provalis Research/ 12:50 - 1:35 Frontline Systems, Inc. Invited: Vendor Tutorial Invited Session 1 - Provalis Research Adam Alami, Provalis, Montreal, QC, Canada, adam@provalisresearch.com

Operations Research and Management Sciences involves researching incident reports, corporate reports, news articles, press releases, social media and much more. The volume of available text has exploded in the digital age. It is extremely time consuming, expensive and in many cases impossible to read each and every document related to one’s research. Automated content analysis makes it possible to systematically import and analyze very large volumes of text documents without spending vast sums on hiring coders. This presentation will showcase the different content analysis approaches such as computer assisted qualitative coding; text mining; content analysis dictionaries or taxonomies and supervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyze text data. 2 - AnalyticSolver.com: Data Mining, Simulation and Optimization in Your Web Browser Daniel H.Fylstra, Frontline Systems, Inc., P.O. Box 4288, Incline Village, NV, 89450-4288, United States, daniel@solver.com AnalyticSolver.com is the new, simple, point-and-click way to create and run analytic models using only your web browser - that also works interchangeably with your spreadsheet. Whether you need forecasting, data mining and text mining, Monte Carlo simulation and risk analysis, and conventional and stochastic optimization, you can “do it all” in the cloud. We’ll show how you can upload and download Excel workbooks, pull data from SQL Server databases and Apache Spark Big Data clusters, solve large-scale models, and visualize results - without leaving your browser. If you’re more comfortable working on your own laptop or server, we’ll show how you can do that, too.

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