2016 INFORMS Annual Meeting Program

WC08

INFORMS Nashville – 2016

WA08 103A-MCC Supply Chain Mgt, Green Contributed Session

the accident classes (injury or property damage). The year-wise results showed that RF outperforms other classifiers with higher accuracy, i.e., 92.7%, 91.4%, and 91.8%, and area under curve values as 0.926, 0.910, and 0.912, respectively as tested with 10-fold cross validation for years 1, 3, and 4. 2 - Analyzing Analytics Curricula Thomas Tiahrt, Assistant Professor of Decision Sciences, University of South Dakota, 414 E. Clark St., Beacom School of Business, Vermillion, SD, 57069, United States, thomas.tiahrt@usd.edu The data deluge has produced a need for analytics professionals across the organizational spectrum. The academic response has been the establishment of a host of new analytics programs, combining courses already taught with innovative offerings, often leveraging existing institutional strengths. We examine the curricula of one hundred twenty-three analytics programs using text mining to discover commonality, differences and subdivisions. Our objective is to provide information for academics either developing or modifying an analytics curriculum, employers evaluating graduate skills and their needs, as well as students considering the alignment of coursework with their interests. 3 - When Positive Sentiment Is Not So Positive Textual Analytics And Bank Failures Majeed Simaan, RPI, 231 Congress St., TroyY, NY, 12180, United States, simaam@rpi.edu, Aparna Gupta, Mohammed Zaki Looking at 10-K annual reports for a large sample of banks in the 2000-2014 period, 52 public bank holding companies that were associated with bank failures during the global financial crisis serve as a natural experiment. Utilizing negative and positive dictionaries proposed by Loughran and McDonald (2011), we find that both sentiments on average discriminate between failed and non-failed banks 80% of the time. However, we find that positive sentiment contains stronger predictive power than negative sentiment; out of ten failed banks, on average positive sentiment can identify seven true events, whereas negative sentiment identifies five failed banks at most. WA07 102B-MCC Data Mining in Marketing Sponsored: Data Mining Sponsored Session Chair: Jiaqi Liu, MD, United States, buptliujiaqi@qq.com 1 - Value In The Eye Of The Beholder: Insights From Data Mining Diamond Prices. Stanislav Mamonov, Montclair State University, 1 Normal Ave, We use a large dataset of diamonds, currently available for sale, to analyze the effects of physical properties of diamonds on diamond prices. The results suggest a high degree of subjectivity in diamond pricing that challenges the accuracy of predictive models. To illustrate the apparent subjectivity, we discuss several price anomalies that are present in the dataset. 2 - Paid Search Advertising: Ideas And Pitfalls Lihui Shi, Centerfield Corporation, 1637 E Maple Avenue, Apt 6, El Segundo, CA, 90245, United States, shilihui@uw.edu In internet marketing, search advertising is a method of placing online advertisements on web pages that show results from search engine queries. I will cover search engine marketing (SEM), search engine optimisation (SEO), pay- per-click (PPC), cost-per-click (CPC), cost-per-impression (CPM), search engine advertising, sponsored listings, paid for placement, etc. Keyword bidding, search ads, display ads, product listing ads (PLA), native ads will be discussed in details, with their definitions, methodologies and challenges. It will provide an overview of paid search advertising, and how this industry utilizes the statistical methods, data mining and machine learning techniques. 3 - Research On The Influence Of Microblog Advertising Of Theatre Chain On Its First Week Box Office Revenue Jiayin Qi, Shanghai University of International Business and Economics, Shanghai, 100876, China, qijiayin@139.com, Jiaqi Liu With the participation of enterprise in social network, a question arises of how enterprise can gain more real profit from social network advertising. This article analyzes the relationships among contents of enterprise’s online post, consumer’s participation on microblog, and short-term product sales. Taking movie market as research set, this research finds that short-term product sales is positively influenced by the information quantity of enterprise’s post, and the influence is mediated by the “repost” of other users of Sina microblog. The mechanism examined in this research on the influence of microblog advertising on short-term sales can be guidelines of social network advertising. School of Business, Montclair, NJ, 07043, United States, stanislav.mamonov@montclair.edu, Tamilla Mavlanova, Nibedita Mohanty, Jacqueline Galal

Chair: Cao Binbin, PhD Candidate, School of Management, Xi’an Jiaotong University, No.28, Xianning Road, Xi’an, Shaanxi, Xi’an, Shaanxi, 710049, China, caobinbin89@stu.xjtu.edu.cn 1 - On The Optimal Control Of Remanufacturing Activities With Quality Variation Of Returns Sajjad Farahani, PhD Student, University of Wisconsin - Milwaukee, Milwaukee, WI, 53211, United States, farahani@uwm.edu, Wilkistar A Otieno, Xiaohang Yue This paper develops a model for the optimal disposition decision for product returns in a remanufacturing system with limited recoverable inventory capacity. The quality grade of returned products is uncertain and remanufacturing cost increases as the quality level decreases, and remanufacturer wishes to determine which returned product to accept to be remanufactured for reselling, and any unaccepted returns may be salvaged at a value that increases with their quality level. A continuous time Markov chain defined and Matrix-Geometric method is applied to evaluate various performance measures for this system and obtain the optimal remanufacturing policy. 2 - Forwarders’ Cooperative Game In Excessive Capacity Exchange Xuefei Shi, Southeast University, Sipailou II, nanjing, 211189, China, 230159160@seu.edu.cn, Haiyan Wang, Minghui Lai We study logistics forwarders’ cooperative game in capacity exchange. The forwarders book their capacity in advance, and may have capacity deficit or excessiveness after their random demand are realized. Thus they can cooperatively exchange their excessive capacities to improve their profits. We develop several profit sharing rules. 3 - The Implications Of Environmental Regulations On Market Area Size And Green Investment Decisions Nazli Turken, Assistant Professor, Cleveland State University, 11900 Edgewater Dr. Apt 1308, Apt 1308, Lakewood, OH, 44107, United States, n.turken@csuohio.edu In this paper we analyze the effect of different environmental regulations on the market area size and green technology investment of a company. We try to identify the environmental regulations that minimize local or global emissions. We identify scenarios when the green technology and end-of-pipe abatement decisions are completely separated from each other. 4 - Supplier’s Environmental Innovation Under Government’s Emission Tax On A Manufacturer Bosung Kim, PhD Candidate, KAIST College of Business, 85 Hoegi- ro, Dongdaemun-Gu, Seoul, 130-722, Korea, Republic of, kim-bs@business.kaist.ac.kr, Se Youn Jung, Kun Soo Park We study supplier’s environmental innovation in a supply chain under government’s emission tax. We analyze and compare the equilibrium outcomes under three types of supply chain contracts: wholesale-price, quality-dependent, and revenue-sharing contracts. In addition, we discuss the impact of factors that can discourage the supplier’s innovation. 5 - Joint Decision on Emission And Pricing In Waste-based Supply Chain: Insights from Hybrid Environmental Policies Cao Binbin, PhD Candidate, School of Management, Xi’an Jiaotong University, No.28, Xianning Road, Xi’an, Shaanxi, 710049, China, caobinbin89@stu.xjtu.edu.cn, Xiao Zhongdong Carbon Disclosure Project reported around 50% of a product’s emission is generated from manufacturing process. A more general waste-based supply chain model including one retailer, one manufacturer and one supplier was built. We analytically showed joint decision processes on emission level of the manufacturer and pricing in supply chain under three hybrid policies including tax and offset, cap and trade, tax and trade. An analytical comparison between different hybrid policies was provided in terms of profits and emission reduction. Numerical study was presented to further illustrate the effects of emission reduction investment factors and parameters of each hybrid environmental policy.

365