AMCIS 2007@KEYSTONE -- CONFERENCE TRACK(MINI TRACK)

Information Discovery,

Data Mining, and

Knowledge Utilization in

B2B/B2C Electronic

Commerce

E-Business & Services

Chair(s):¹Dr. William Yu Chung Wang; ²Dr. I-Chin Wu

University Affiliation & Phone:

1. Dr. William Yu Chung Wang
Program Director, Master of Logistics and Supply Chain Management
Certified BenQ ERP Instructor
J2-20, Mawson Lakes Campus.
Division of Information Technology, Engineering, and the Environment
University of South Australia, SA, 5095, Australia
Tel:+61-8-83023095
Email: yuchung.wang@unisa.edu.au

2. Dr. I-Chin Wu
Assistant Professor, Department of Information Management,
Fu Jen Catholic University No 510 Chung Cheng Rd , Hsinchuang ,
Taipei County, Taiwan, 24205

Tel:+886-2-2905-2739
Email: icwu@im.fju.edu.tw

Description:

This session aims to investigate the theory, methodology, and practices of content and process enabled knowledge discovery and information management for B2B and B2C business intelligence. That is, it focuses on the efficient and intelligent techniques to mine the data and to share the information in work processes or the organizational repository for actionable knowledge. Additionally, the context-awareness techniques based on the business process with related content information to improve project management, enterprise-wide information systems, supply chain management, and knowledge management are also welcomed. Given that it is also expected to provide a list of propositions which form the broad basis of empirical research agenda to explore and identify the mechanism in understanding and applying to the electronic business improvements. This session is also to provide a source for the analysis of industrial influences, instrumentality, and evaluations for adopting knowledge discovery technologies for B2B/B2C electronic commerce from the aspect of information systems adoption and planning. Academics, industrial practitioners, and governmental entities can benefit from discovered knowledge to strengthen current knowledge management, and thus to make judgments of further actions.

The mini-track will focus on:

Participation of corporate platforms for accessing and delivering digital learning resources
Distributed knowledge sharing environments
Incentive models for knowledge sharing
Provision of competitive services for knowledge sharing
Integration of individual and group activities in the organization
Integration of virtual and real-world knowledge sharing
Intelligent task support for e-business intelligence
Integration of business processes associated with the content information for effective knowledge retrieval and decision support
Theoretical foundations of knowledge discovery from data for e-business intelligence
New methods and algorithms of data/text mining for decision support
Modeling and retrieving of context for e-business intelligence: context-awareness applications that use context information to create intelligent IT service.
Content and process enabled knowledge discovery for customer relationship management (CRM)
Information system adoption for e-business intelligence: Anatomy of successful/failed cases