Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI2010),

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76 articles

Models of Pricing and Coordination in Dual-channel Supply Chain with Business Reputation

Hui Ma, De-Li Yang, Jian-Jun Wang
In order to meet the needs of different customer, manufacturer opened online direct channel based on retail channel. In the case of co-existence of dual-channel distribution, a model is built to analyze pricing competitions between one manufacturer and one retailer under the manufacturer providing business...

Monitoring of the Changes in the Global Forest Cover Using Data Mining

Vipin Kumar
Assessing change in forest cover is of critical importance in studying natural and anthropogenic impacts on natural ecosystems. In particular, forest degradation accounts for almost 20% of anthropogenic greenhouse gas emissions (GHG) and thus is a significant driver of climate change, which, in turn...

Empirical Analysis on the Correlation between Chinese Stock Markets and Developed Oversea Markets

Feng Liu, Qiang Ye, Yi-jun Li
Through the Johansen Co-integration test and the Granger-causality test, we found that the volatility in Chinese stock markets has been affected by the the volatility in United States stock market, however, we have not found that Chinese stock markets would co-move along with the United States market...

Advanced Informatics for Business Intelligence 2.0

Hsinchun Chen
Business Intelligence (BI), a term coined in 1989, has gained much traction in the IT practitioner community and academia over the past two decades. According to Wikipedia, BI refers to the ¡°skills, technologies, applications, and practices used to help a business acquire a better understanding of its...

Integrating OLAP/SOLAP With E-Business: A New Conceptual Platform

Oualid, Samar Mouakket
E-business domains, such as e-commerce, e-government, e-learning, e-banking, have been considered for long time as killer domains for several data analysis techniques in order to analyze the data stored in their websites¡¯ databases. Most of the researchers have been focusing on using the Data Mining...

A Context-based Mobile Knowledge Support System for Supporting Foreign Students in China

Xiangpei Hu, Khalil Al-mekhlafi, Lijun Sun, Ziguang Zheng
The idea of Context-based Mobile Knowledge Support System (CMKSS) is to provide three kinds of support based on a user's context and needs, namely, knowledge support, guide support and language practice support. An integrated knowledge representation method to represents the demand profile and supply...

Construction and Research of Self-choosing & Fee-paid Advertising Model

Shiyu Wang, Gui-shi Deng, Yaohui Zhang, Xinyi Yang
The traditional modes of advertisement are usually unproductive with huge input. And consumers are often forced to watch ads that are not useful to them. This paper provides a new way of advertising to improve both the producers' and consumers' utility. The new mode allows audience to choose the ads...

Agent Based Modeling for Business Gam-ing Simulation and Application for Supply Chain Management Education

Motonari Tanabu
Yokohama Business Game (YBG) is a business game platform supporting a development, conduct and management of games. While YBG provides various types of business game and they are used in over 70 Japanese universities, there is a difficulty in keeping game balance or finding optimal strategy when developing...

The Effect of Learning Feedback Delay on the Growth of E-commerce Web Sites

Xiao-ji Wan, Gui-shi Deng, Yang Bai, Zhi-guo Zhu
The learning feedback delay reflecting renewal speed greatly affects the growth of e-commerce web sites. This paper firstly presents a nonlinear competition model ex-plaining the growth mechanism of commercial sites and studies the action principle of initial conformation condition, renewal speed, competitive...

A Partial Backorder Inventory System with Quoted Service Time

Yifan Dou, Yongbo Xiao, Jian Chen
In this paper, we introduce a critical time point method of partial backorder system with quoted service time in the traditional (,)Qr model: The retailer sets a critical time point. Excess demand coming before that point will be satisfied with emergency order while other ones will be backlogged until...

The Limits of Public Clouds for Business Applications --An overly simplistic reliance on the utility model risks blinding us to the real opportunities and challenges of cloud computing

Paul Hofmann
Descriptions of cloud computing often emphasize the silver lining more than the chances of getting wet. Utility computing offers many benefits, but will the cloud ¡ª especially the public cloud ¡ª lead to the extinction of CIOs because IT will be consumed as simply as electricity? No doubt, cloud computing...

Orthogonality of Imprecise Matrices

Madhumangal Pal, Anita Pal, Gobinda Murmu
In this paper, we have studied some properties of imprecise numbers, namely, interval numbers and triangular fuzzy numbers. Also we studied the imprecise matrices of different kinds. Using the operations defined on them, we have proposed the orthogonality of such matrices and some theorem for those type...

The Research of Virtual Enterprise Partners Selection: From Harmony Perspec-tive

Hong Ling, DongSheng Dai, JingFan Zhang
The virtual enterprise (VE) partner selection, which is a business process throughout the whole business operation, is critical for the VE operation. But it is often affected by many factors from politics, economics, social status, psychology and culture background. And the relationship development between...

Making Item Predictions through Tag Recommendations

Jing Peng, Daniel Zeng
As opposed to the search engine, social tagging can be considered an alternative technique tapping into the wisdom of the crowd for organizing and discovering information on the Web. Effective tagbased recommendation of information items is a critical aspect of this social information discovery mechanism....

Consumer Categorization of Hybrid Products: The Applicability of Fuzzy-based Approach for Managing the Technology Convergence

Akihiro Nishimoto
The central issue in this research is the product management. Especially, hybrid products are focused. It is the one that is integrated more than two category technologies into one product. It has been getting a lot of attention as the new approach of the product development. However, there is the category...

Feature Ranking for Total Ordering Ranking Problems

Yongqing Wang, Daniel Zeng
In this paper, we first introduce the development of learning to rank and discuss the problems existing in this field especially the ignorance of total ordering ranking. For dealing with the total ordering ranking problem, we assume a method ¡°feature ranking¡±. Based the assumption, we design two algorithms:...

Research on Organizational Knowledge Structure's Construction Based on Text Mining

Jiangnan Qiu, Chuangling Nian
Organizational knowledge structure is a reflection of organizational knowledge system. In this paper, we study organizational knowledge structure¡¯s construction based on patent documents using text mining method. Its construction process is as follows: Firstly, patent documents of organization are collected...

An Incremental Approach for Rule Induction under Coarsening and Refining of Attribute Values in E-Business Systems

Dun Liu, Tianrui Li, Junbo Zhang
The variation of attribute values is an important case in the dynamic EBusiness systems. With the rapid increase and update of data sets in business database everyday, a new incremental model, approach as well as its algorithm is presented for rule induction under coarsening and refining of attribute...

Production Logistics Research and Demonstration based on Network Planning technique and Theory of Constraints

Zhilan Song, Yueyi Liu
The Logistics of production is an important part of enterprises logistics. Whether it can be smooth is related closely to the economic benefit and business competitiveness. In order to better the efficiency, making processes of production rational and plan the layout of equipments are needed. Presently,...

IT Project Investment Decision Analysis under Uncertainty

Suling Jia, Na Xue, Dongyan Li
When to implement IT investment is important, the revenue and cost of IT investment are flustering with great uncertainty, so defining rational their variation is the base for assessing the value and occasion of IT investment. The IT investment cost is described by geometrical Brownian motion, and the...

Research on Distributed Knowledge Base System Architecture for Knowledge Sharing of Virtual Organization

Ruzhi Xu, Peiguang Lin, Cheng Liu
In this paper, an agent-based architecture is proposed to integrate distributed heterogeneous Knowledge Base. BBS is used as the public information exchange platform to implement an asynchronous uncoupling communication mechanism. A group of agents is deployed to every Knowledge Base node to complete...

Sentiment Classification for Consumer Word-of-Mouth in Chinese: Comparison between Supervised and Unsupervised Approaches

Ziqing Zhang, Qiang Ye, Wenying Zheng, Yijun Li
Sentiment classification aims at mining word-of-mouth, reviews of consumers, for a product or service by automatically classifying reviews as positive or negative. Few empirical studies have been conducted in comparing the different effects between machine learning and semantic orientation approaches...

A Survey of the Internet of Things

De-Li Yang, Feng Liu, Yi-Duo Liang
This paper studies the state-of-art of Internet of Things (IoT). By enabling new forms of communication between people and things, and between things themselves, IoT would add a new dimension to the world of information and communication just as Internet once did. In this paper, IoT definitions from...

A Bibliometric Research of Social Net-work Theory and Its Applications in MIS Domain

Yili Liu, Bing Wu
An overview of why and how the social network approach might be useful for research of information related issues is presented. Background of social network theory and social network analysis are provided firstly. Then a literature review is made involving a content analysis of 373 articles retrieved...

Effect of information asymmetry and embeddedness on organizational learning

Liefa Liao, Kanliang Wang
Using simulation research method, this research considers how information asymmetry and embeddedness influence organizational learning performance. The results indicate that, low embeddedness facilitate exploration learning while high embeddedness facilitate exploitation learning in information symmetry...

A Semantic Analysis Method for Concept Map-based Knowledge Modeling

Jin-Xing Hao, Angela Yan, Ron Chi-Wai
Semantic analysis of a concept map plays an important role in translating human knowledge in the form of concept maps into rigorous and unambiguous representations for further processing by computers. However, recent research limits in the literal analysis of concept labels and concept relatedness that...

Status and Trends of IT/IS Application in Small and Medium Manufacturing En-terprises in China

Fang Wang, Xunhua Guo
With the rapid development and profound changes in the Chinese economy, the early stage growth patterns which largely depended on low labor costs are facing serious challenges. Small and medium manufacturing enterprises (SMEs) are upgrading management and service to improve productivity efficiency and...

Some Results on Interval-ValuedFuzzy Matrices

Anita Pal, Madhumangal Pal
In this paper, we introduced intervalvalued fuzzy matrices (IVFMs) as the generalization of interval-valued fuzzy sets. Some essential unary and binary operations of IVFM and some special types of IVFMs i.e., symmetric, reflexive, transitive and idempotent, constant, etc. are defined here. The idea of...

COSI-: Identification of Cosine Interesting Patterns Based on FP-tree

Xiaojing Huang, Junjie Wu, Shiwei Zhu, Hui Xiong
The cosine similarity, also known as uncentered Pearson Correlation, has been widely used for mining association patterns, which contain objects strongly related to each other. However, it is often used as a post-evaluation measure and is computationally prohibitive for large data. To this end, we develop...

The Effect of CRM System on Sales Man-agement Control: A Case Study

Liang Li, Ji-Ye Mao
Whereas prior research has paid little attention to the effect of CRM system on internal process control, this case study illustrates control-related CRM usage by investigating how effective sales management control through CRM and why. Results show that the CRM application can strengthen formal control...

The Conceptual Model of Mobile TV Service Adoption: A Triangulational Perspective

Rong Chen, Xin Luo, Heng Xu, Wei Zhang
Mobile TV is a fledgling industry which has high profit expectations while with low adoption rates. To advance this line of research, this paper presents a comprehensive review on literatures related to mobile TV adoption, including traditional adoption theories, uses and gratification research, domestication...

Research on the Method of Dynamic Emergency Rescue Vehicle Routing Based on Real-time Information

Tiejun Wang, Yijun Li
Vehicle routing problem is an important research topic in management science. Most traditional Vehicle routing studies are static models. Integrating the latest development of information technologies, such as ¡°3S¡± geomatics technology and computer, communication and network modern high-techs, this...

Service Ecosystems of cloud computing

Renjun Qu, Qiongwei Ye
In this paper, we consider the Service Ecosystems of cloud computing is emerging. We present the Architecture of cloud computing¡¯s Service Ecosystems, and describe Service Ecosystems working mechanism, then analyze the service composition the of Service Ecosystems. Value network is analyzed by identifying...

Data Quality for Emergency Department BI Dashboard

Andy Koronios, Jing Gao
As a powerful BI tool, dashboard is currently on the decision-makers' top concern lists. Many studies have been conducted on how to develop dashboard in the hospital environment, especially in the emergency departments (ED) where the doctors need precise, real time information of their patients in order...

An Efficient Association Rule Mining Me-thod for Personalized Recommendation in Mobile E-commerce

Xiaoyi Deng, Chun Jin, Yoshiyuki Higuchi, C.Jim Han
The association rule mining (ARM) is an important method to solve personalized recommendation problem in e-commerce. However, when applied in personalized recommendation system in mobile ecommerce(MEC), traditional ARMs are with low mining efficiency and accuracy. To enhance the efficiency in obtaining...

Towards approximate equivalences of workflow processes

Yongzhi Cao, Guoqing Chen
Well-known notions of equivalence such as trace equivalence and bisimulation have been used to compare workflow processes; they describe the equivalence of processes whose activities are identical in each step. Possessing exactly the same activity in each step is quite rigorous, and sometimes we may...

BI as a service: an attempt to understand the leading adoption factors

Marco de Marco, Cecilia Rossignoli, Antonella Ferrari, Lapo Mola, Alessandro Zardini
The research question of this study attempts to identify which are the leading factors for the adoption of a sourcing Software as a Service model for Business Intelligence applications. The objective is to build a model containing enabling factors for the adoption of BI solutions. We seek to expand on...

Conceding Strategy on Multi-agent Argumentation-based Negotiation in E-commerce

Ge Zhang, Lin Wu, Guo-Rui Jiang, Ti-Yun Huang
Argumentation-based approach to negotiation, which allows agents to exchange additional information or argue their beliefs and other mental attitudes during the negotiation, is gaining increasing popularity for its potential ability to overcome the limitations of conventional approaches. In this paper,...

Study on Cooperation Mechanism of Closed-loop Supply Chain Based on Rev-enue Distribution with Modified Shapley-value

Weimin Ma, Xiaoxi Zhu
A closed-loop supply chain of revenue distribution model consists of a manufacturer, a Third-Part Logistics and a retailer is founded, revenue of each cooperative coalition in different cooperative ways is given based on cooperative game theory. Results indicate that cooperation will bring each cooperative...

Software Defect Prediction Based on As-sociation Rule Classification

Baojun Ma, Karel Dejaeger, Jan Vanthienen, Bart Baesens
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task. However, association based classification methods have not been investigated...

Research on Metadata-driven Enterprise Data Modeling System

Hong Miao, Jingsheng Sun, Shilun Ge, Nianxin Wang
Since the existing mass data resource in enterprises has never generated any reuse-value, this paper proposes a framework for enterprise data modeling, verification and management driven by metadata. It starts from the building-up of metadata base, and then checks and verifies the metadata at different...

Marketing Communication Strategy and Marketing ROI under Cross-Media Envi-ronment

Akihiro Inoue
Marketing managers have to build their effective communication strategy under cross-media environment. Also, they have to achieve a same level performance even under the decrease in marketing budget. In this research, we re-consider the inherent task of marketing communication and propose the concept...

The Analysis of the Business Pattern of Online Community and Its Value

Zhiyuan Ge, Shuping Mao, Lili Sun
With the number of Chinese Internet users is growing rapidly, Internet is building an extensive network of community, and people begin to find their homogeneous groups through a variety of ways on the network, under the context, online communities formed. So the business pattern of online community is...

Mining Maximal Frequent Patterns With Similarity Matrices of Data Records

Hua Yuan, Junjie Wu
In this paper, we proposed a similarity matrix based method to mining maximal frequent patterns from large database. The study is very different from the previous Apriori-liked method. Especially, the method can be performed directly on the original data in database without various format transformation....