Informs 2015

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INFORMS Philadelphia – 2015
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2 - Optimal Portfolio of Supply Chain Risk Mitigating Plans
Sayan Mukherjee, Doctoral Candidate, XLRI, Jamshedpur,
XLRI Campus, CH Area East, Jamshedpur, India,
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,
, 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,
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,
1 - A Study on Online Shopping Intention and Moderators from the
Perspective of Reverse Generation
Yingzi Xiong, Professor, School of Management,Xiamen
University, 422 Siming South Road, Xiamen, China,
, Shaoqin Ye
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,
, 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,
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.
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, 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,
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,
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,
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, , 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,
, 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,
, 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.
WE09