2016 INFORMS Annual Meeting Program

TB54

INFORMS Nashville – 2016

TB54 Music Row 2- Omni Service Science in Emerging Economy Sponsored: Service Science Sponsored Session Chair: Qiang Qiang, Penn State University, 30 E. Swedesford Road, Malvern, PA, 19355, United States, qzq10@psu.edu 1 - Big Data Based Modeling And Optimizing Of The First Aid Services In Shanghai Songjiang District Wei Yang, Tongji University, Shanghai, China, yangvmail@163.com, Qiang Su To guarantee the emergency demand can be responded in time, the government is obliged to implement an effective EMS plan. Most studies failure to consider adequately the effect of the spatio-temporal uncertain demand since it is difficult to quantitatively describe. As a result, the location plan is not efficient enough. In this study, Gaussian Mixture Model clustering is innovatively utilized to quantitatively describe the spatial uncertain demand. Then the chance-constraint programming model for location planning is developed. The data of Songjiang District is used to validate the method proposed. The experimental results demonstrate that the delay time can be significantly decreased. 2 - The Impact Of Linguistic Persuasiveness On The Success Rate Of Crowdfunding Services: Evidence From Kickstarter Hongwei Wang, Tongji University, Shanghai, China, hwwang@tongji.edu.cn, Wei Wang, Wei Chen, Kevin Zhu Fund-seekers tend to use various linguistic styles to change investors’ perception on project prospects, thus leading to different persuasiveness on investment intentions. Based on Hovland’s persuasion model and Aristotle’s rhetorical persuasion triples, the linguistic styles are grouped into resorting to credibility, to sentiment, to logic, to reward, and to exaggeration. We then extract the keywords for these categories by text mining. An econometric model is formulated with 128345 campaigns from Kickstarter to estimate the impact of linguistic styles on successful campaigns. The results guide fund-seekers to come up the most effective linguistic styles on describing their projects. Chair: Apurva Jain, University of Washington, Foster School of Business, Box 353226, Seattle, WA, 98195-3226, United States, apurva@u.washington.edu 1 - Using Simulations To Evaluate And Improve Inventory Policies Jagtej S Bewli, Director, Product Management, WalmartLabs, 850 Cherry Avenue, San Bruno, CA, 94066, United States, jbewli@walmartlabs.com to be edited, to be editedto be editedto be editedto be editedto be editedto be editedto be editedto be editedto be editedto be editedto be editedto be editedto be edited 2 - Cooperation In Spare Parts Systems With Expedited Deliveries Ulas Ozen, Ozyegin University, Cekmekoy Campus, Nisantepe District, Orman Street, Istanbul, 34794, Turkey, ulas.ozen@ozyegin.edu.tr We study cooperation between a group of companies, who need spare parts to maintain their expensive equipment, by pooling their spare parts inventory. To address the cost allocation problem, we borrow concepts from cooperative game theory and examine the core of the resulting cooperative games. We study three cooperation scenarios: (i) cooperation by inventory pooling, (ii) cooperation under optimal inventory investment, and (iii) cooperation under service level constraint. For many of these games, we show that the cores are non-empty by identifying a PMAS. For the games with empty cores, we present examples. 3 - Multi Period Production Planning With Uniformly Perishable Inventories Mehdi Karimi-Nasab, PostDoc, Institute for Operations Research, University of Hamburg, Von-Melle-Park 5, Hamburg, 20146, Germany, mehdi.karimi-nasab@uni-hamburg.de A number of products should be produced over a number of periods. After a product is produced, it is subject to perishability. Assume that product i is produced in period t0. Then life time of product i can be divided into two parts: till a certain time limit after production, tl(i), we can be sure that item i is usable in the warehouse (i.e. till the end of period t0+tl(i) we are sure that it is not perished), but it may be considered unusable during the next periods located in the interval t0+tl(i)+1, . . ., t0+tu(i) with equal chance. In other words, we can be sure that by probability of 1 it is absolutely out of use afterwards. The problem is formulated and mathematical properties of the model are studied. TB55 Music Row 3- Omni Inventory Management IV Contributed Session

4 - Operational Responses To A Demand Surge Apurva Jain, University of Washington, Foster School of Business, Box 353226, Seattle, WA, 98195-3226, United States, apurva@u.washington.edu We develop and analyze a model where a firm observes the evolution of a demand-surge over a short time-period. The firm’s decisions about inventory, quality and delivery influence the evolution of the demand surge over short-term and have impact on the level of long-term demand it may experience. The firm must determine the time and quantity for ordering inventory to meet the surge and must choose between sources that differ in their quality-levels and delivery- times. TB56 Music Row 4- Omni Innovation through IT Management Sponsored: EBusiness Sponsored Session Chair: Rajiv Mukherjee, Southern Methodist University, Frisco, TX, United States, rajiv.mukherjee@gmail.com 1 - Effect Of Consumption Flexibility On Usage Sreekumar Bhaskaran, Southern Methodist University, sbhaskar@smu.edu, Rajiv Mukherjee, Sanjiv Erat In this research, we examine the effect of flexibility related to consumption of services on the extent of usage of a service. Impact of consumer behavior on capacity and pricing are also considered. 2 - How Strategic Crowdfunding Design Decisions And Financial Slack Affect Funding And Post-funding Outcomes Daniel Zantedeschi, The Ohio State University, Columbus, OH, United States, zantedeschi.1@osu.edu, Onochie Fan-Osuala, Wolfgang Jank Based on the marketing-operations interface model, we conjecture that strategic crowdfunding campaign design decisions can impact both funding and post- funding outcomes. We show that these strategic decisions have differential effects on the both phases (fundraising and post-funding) of crowdfunding. That is, decisions that positively impact funding success may negatively impact the time to shipment of crowdfunded products. Further, and contrary to speculations, we find that overfunding (a fundraising phase outcome) provides financial slack and is associated with lower delays in product shipment. Finally, we provide implications of these findings. 3 - “Co-opetition” In The Over-The-Top (OTT) Services Antino Kim, Indiana University, Bloomington, IN, United States, antino@iu.edu, Debabrata Dey, Atanu Lahiri Often, an infrastructure service provider (ISP) allows an “over-the-top” service provider (OTTSP) to use its infrastructure to offer services that end up competing with the services provided by the ISP itself. Such presence of competition and collaboration at the same time leads to an interesting relationship between the ISP and OTTSP. In this research, we examine this intricate relationship to analyze the pricing strategies for both parties. 4 - Product Support And Uncertainty: Effect On Two Competing Online Retailers Vashkar Ghosh, University of Florida, 355A Stuzin Hall, Department of ISOM, Gainesville, FL, 32611, United States, vashkar.ghosh@warrington.ufl.edu, Kyung Sung Jung, Young Kwark, Janice Carrrillo We analyze the effect of uncertainty about the product and retailer support between two competing online retailers selling the same product. The retailers differ in both their product support and fit. We consider the impact of online reviews, and investigate the problem under wholesale and agency pricing schemes.

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