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Cluster :
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eBusiness
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Session Information
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: Monday Oct 15, 16:30 - 18:00
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Title:
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eBusiness Models, Business Strategy and Innovation
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Chair:
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Harpreet Singh,University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080, United States of America, harpreet@utdallas.edu
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Abstract Details
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Title:
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Impact of Promotions on Location-based Services: Evidence from Foursquare
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Presenting Author:
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Lei Wang,PhD Candidate, OPIM Department, University of Connecticut, 2100 Hillside Road Unit 1041, Storrs CT 06269, United States of America, Lei.Wang@business.uconn.edu
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Co-Author:
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Ram Gopal,Department Head, OPIM Department, University of Connecticut, 2100 Hillside Rd Unit 1041, Storrs CT 06269, United States of America, ram.gopal@business.uconn.edu
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Joseph Pancras,Assistant Professor, Marketing Department, University of Connecticut, 2100 Hillside Road Unit 1041, Storrs CT 06269, United States of America, jpancras@business.uconn.edu
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Ramesh Sankaranarayanan,Associate Professor, OPIM Department, University of Connecticut, 2100 Hillside Road Unit 1041, Storrs CT 06269, United States of America, rsankaran@business.uconn.edu
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Abstract:
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Foursquare, top 1 location-based services provider, provides a free platform for businesses to give promotions to customers. We propose a hierarchical linear model to examine the impact of offering promotions though location-based services on the growth rate of consumer traffic. We find (1) If more competitors offer specials through location-based services, the best strategy for a restaurant is to not offer specials; (2) the more competitors a restaurant has, the higher its growth rate will be.
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Title:
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Inventory as a Driver of Demand
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Presenting Author:
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Yasin Ceran,University of Texas at Dallas, Richardson TX 75080, United States of America, ceran@utdallas.edu
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Abstract:
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In online retailing, inventory decisions can greatly impact sales for a product by affecting, among other things, availability (stock-outs) and word of mouth (WOM). In this study, we develop a model as an extension of similar structural models introduced in the literature. We investigate the impact of inventory on the amount of lost sales. We use Markov Chain Monte Carlo (MCMC) simulations to test our model with synthetically generated data and then provide an empirical application.
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Title:
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Socio-economic Value of Online User Rating on Box Office Sales
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Presenting Author:
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Young Jin Lee,University of Wisconsin at Green Bay, Cofrin School of Business, Green Bay WI 54311, United States of America, leey@uwgb.edu
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Abstract:
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We examine the economic value of prior online user ratings as advertising effect on subsequent box office sales. To correctly identify the value, we use a instrumental variable (IV) estimation strategy with a unique data that includes reviewer and movie level information. Using reviewers’ social characteristics in an online social network as IV for online user ratings, we directly compare the effect to weekly advertising spending to quantify the monetary value of online user ratings.
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Title:
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The Online Retailer Fulfillment Service: Why Help Your In-store Competitor?
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Presenting Author:
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Wenjing Shen,Assistant Professor, Drexel University, 101 N. 33rd Street, 228A, Philadelphia PA 19380, United States of America, ws84@drexel.edu
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Co-Author:
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Gangshu Cai,Associate Professor, Santa Clara University, Department of OMIS, Santa Clara CA, United States of America, Gangshu@gmail.com
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Abstract:
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Online fulfillment program is a service offered to small retailers by large retailers such as Amazon, where large retailers handle shipping and service for the small retailer. We analyze a game between two retailers and find out the conditions under which fulfillment program is beneficial for the large retailer.
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