2015 Informs Annual Meeting

WE09

INFORMS Philadelphia – 2015

2 - Optimal Portfolio of Supply Chain Risk Mitigating Plans Sayan Mukherjee, Doctoral Candidate, XLRI, Jamshedpur, XLRI Campus, CH Area East, Jamshedpur, India, sayan.mukherjee@astra.xlri.ac.in, Rajiv Misra, Tas Vijayaraghavan Frequency of occurrence, time for which a risk occurs/ has an effect, Rate of loss and detectability of the risks are taken as random variables to model the distribution of the losses due to the supply chain risks. Bayesian Belief Network has been used as a modeling tool. The effect of a mitigation plan is judged by the expected loss reduction due to the plans. Then a multi-objective non-linear programming formulation is done for optimal portfolio selection of mitigation plans for the risks. 3 - An Exploration and Comparison of Resilience Metrics Daniel Romero, Student, USF/ UAC, 4411 Shady Terrace Ln, Tampa, FL, 33613, United States of America, danielromero@mail.usf.edu, Weimar Ardila, Alex Savachkin, Alvaro Sierra A comparison of quantitative resilience metrics in different areas for the identification of key elements and approaches in order to get an accurate estimation of system resilience. Common factors in the resilience of physical systems are tested for predicted resilience measurements. 4 - Proactive Risk Assessment Framework to Address Safety-critical Issues of Offshore Drilling Maryam Tabibzadeh, California State University, Northridge, 1157 W., 30th St., Los Angeles, CA, United States of America, m.tabibzadeh@gmail.com Although accident investigation frameworks are used to analyze the contributing causes of previous incidents in different complex technological and high-risk industries, they provide a retrospective point of view. They however can be incorporated into a proactive risk assessment system. This study proposes a series of safety leading indicators and integrate them with a developed AcciMap framework to address and assess the safety of offshore drilling, as part of a proactive total-system analysis. WE08 08-Room 308, Marriott E-Business/Commerce III Contributed Session Chair: Huili Zhang, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, China, zhanghuili@hust.edu.cn 1 - A Study on Online Shopping Intention and Moderators from the Perspective of Reverse Generation This paper chooses online shopping as background, two generations in China as objectives, tests the process of the consumer socialization influenced on elderly generation by the younger generation, shows the mechanism and form of reverse generational influence, understands the reverse generation influence on elderly generation’s online shopping intent and other factors that might result in online shopping. 2 - Evaluating Determinants of Satisfaction of Intermediary in Delivery of E-government Services Rajesh Sharma, Research Scholar, Indian Institute of Management, Prabandh Shikhar, Rau, Indore, MP, 453556, India, f12rajeshs@iimidr.ac.in, Rajhans Mishra This research is grounded in the Stakeholder Theory (Freeman 1984) and deals with an important stakeholders in the delivery process in India, namely, the Village Level Entrepreneur (VLE). The study aims at identifying the determinants of satisfaction of VLEs who are running assisted kiosks in rural parts where the computer literacy and computer penetration is rather low. We propose a generic model of satisfaction consisting if institutional, interface, social and economic support. 3 - Consumers’ Usage Behavior of M-coupons: The Moderating Role of Regulatory Focus Huili Zhang, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, China, zhanghuili@hust.edu.cn, Xuefeng Zhao Given the important role of consumers’ personal traits in accelerating the usage of M-coupons, this paper aims to explore the moderating effects of regulatory focus on the relationship between perceived benefits or costs and consumers’ attitude as well as the impact of perceived benefits and costs on consumers’ behavioral intention based on the Valence Framework. A total amount of 325 valid questionnaires from different areas in China are recruited to examine the measurement model we developed. Yingzi Xiong, Professor, School of Management,Xiamen University, 422 Siming South Road, Xiamen, China, xyingzi@xmu.edu.cn, Shaoqin Ye

4 - A Trust Transitivity Model of Agriculture and Local Products in WeChat Marketing Jin Yin, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, P.R.C., Dalian, China, yinjin@mail.dlut.edu.cn, Qingkai Ji, Hu Xiangpei Business of agriculture and local products is emerging in WeChat marketing. The challenge is how to establish consumer’s trust because the serious food security problem in China. We establish trust transitivity model to forecast consumers’ trust in Wechat. The model measures factors based on complex networks analysis, combines the psychology of trust, Subjective Logistics and multi-attribute decision making method to compute trust degree through transitivity and consensus process. 5 - The Use of Mobile Applications for Travel-related Needs Ozay Ozaydin, Assistant Professor, Dogus University, Zeamet Cad No: 21 Acibadem, Istanbul, 34722, Turkey, oozaydin@dogus.edu.tr With m-commerce still in its infancy, there have been relatively few attempts to systematically explore the opportunities and challenges posed by m-commerce. This study is an early attempt aims to provide empirical data on consumer perception of mobile applications. This paper first examines the value proposition of mobility, then investigates operation modes and potential consumer-based applications. Results provide useful insights into m-commerce applications and their commercial potentials. WE09 09-Room 309, Marriott Research and Development Contributed Session Chair: Tian Sun, Shanghai Kijiji Information Technology Co., Ltd., 55 Guangyuan West Road, Xuhui District, Shanghai, China, suntian@baixing.com 1 - An Empirical Research on the Choice of R&D Patterns based on Enterprise Knowledge Base Yanlan Yang, Huazhong University of Science and Technology, 1037Luoyu Road, Hongshan District, Wuhan, China, 1040689355@qq.com This article studies the impact of enterprise knowledge base on the choice of R&D patterns by using data collected from 437 firms with technology center in Hubei Province.The results show that the breadth of enterprise knowledge base positive influence enterprise’ choice of internal R&D pattern;the relationship between the enterprise knowledge depth and the choice of internal R&D patternthere is inverted u-shaped , in contrast, knowledge depth and the choice of external R&D pattern is u-shaped. 2 - A Comparison of National Innovation Systems Efficiency between the OECD and BRIC Jing Liu, PhD, Peking University, Guanghua School of Management, Peking Univ, No.5 Yiheyuan Road Haidian District, Beijing, 100871, China, liujingokay@163.com, Tao Huang, Zhuojun Li Although there are plenty of descriptions of national innovation system(NIS), a systematic comparison between different countries and classification have not been made so far. This paper measures the innovation efficiency of NIS in a systematic framework and makes comparison between the OECD and BRIC. 3 - When The Well Runs Dry: Predicting Observed Grace Satellite Groundwater Storage Trends Roshanak Nateghi, Assistant Professor, Purdue University, 412 Ava Way NE, Washington, DC, 20017, United States of America, roshanak.nateghi@gmail.com, C. Bayan Bruss Groundwater is an essential component of global access to fresh water. It has an impact on political stability, health, economic growth and well-being. Identifying trends in groundwater storage using GRACE satellite observations is a promising new line of research. We have conducted extensive data analyses to find the best predictors of the observed trends using agricultural, climate, demographic, land- use and economic variables in 81 countries. 4 - Text Mining Techniques in Classified Websites: Spam Filtering and Information Organization Tian Sun, Shanghai Kijiji Information Technology Co., Ltd., 55 Guangyuan West Road, Xuhui District, Shanghai, China, suntian@baixing.com, Shi Lin, Zhe Liang Millions of advertisements have been posted on the classified websites every day. Those advertisements attract viewers who are in need of the services provided by ad posters. In order to operate a successful classified website, two major issues have to be solved: safety and classification. Text mining techniques are applied to detect spam and ensure correct information classification.

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