|
Selected quality papers will be considered for publication in special issues of the following journals: |
SCMIS 2006
Call for Papers
4th International Conference on
Supply Chain Management & Information Systems
5th – 7th July 2006
Taichung, Taiwan
Paper submission deadline: 15 Dec 2005
SCMIS 2006 Website: http://www.nchu.edu.tw/SCMIS2006
CONFERENCE ANNOUNCEMENT
We are pleased to announce that National Chung Hsing University (NCHU) will host the 4th International Conference on Supply Chain Management and Information Systems (SCMIS) on 5th – 7th of July 2006. The Conference will take place at NCHU (Taichung), Taiwan. The conference is organized in cooperation with:(1) University of Sheffield, UK (2) CITY Liberal Studies, Greece (3) Aristotle University of Thessaloniki, Greece (4) University of Macedonia, Thessaloniki, Greece (5) ELTRUN - Athens University of Economics and Business (6) Hong Kong Polytechnic University (7) University of Massachusetts, Dartmouth (8) University of Nottingham, UK (9) National Central University and (10) National Dong-Hwa University.
Keynote Speakers: (1) Professor M. Lynne Markus
Professor M. Lynne Markus is John W. Poduska, Sr. Chair of Information Management, Bentley College, USA. Professor Markus's research interests include enterprise and inter-enterprise systems, IT and organizational change, and knowledge management. Dr. Markus was formerly a member of the Faculty of Business at the City University of Hong Kong (as Chair Professor of Electronic Business), the Peter F. Drucker Graduate School of Management at Claremont Graduate University, the Anderson Graduate School of Management (UCLA) and the Sloan School of Management (MIT). She has also taught at the Information Systems Research Unit, Warwick Business School, UK (as Visiting Fellow), at the Nanyang Business School, Singapore (as Shaw Foundation Professor), and at the Universidade Tecnica de Lisboa, Portugal (as Fulbright/FLAD Chair in Information Systems).
Dr. Markus has received research grants and contracts from the National Science Foundation, the Office of Technology Assessment (US Congress), The Advanced Practices Council of SIM International, the Financial Executives Research Foundation, and Baan Institute. She is the author of three books and numerous articles in journals such as MIS Quarterly, Information Systems Research, Organization Science, Communications of the ACM, Sloan Management Review and Management Science. She has served as AIS VP for Education, SIM VP for Academic Community Affairs, and on the editorial boards of several leading journals in the information systems field. Markus holds a BS in Industrial Engineering from the University of Pittsburgh and a PhD in Organizational Behavior from Case Western Reserve University.
(2) Professor David Bennett
Dr David Bennett is a Professor of Technology Management at Aston Business School, UK. His teaching is in operations and technology management and his research is concerned with issues relating to management of technology (MOT), the transfer of technology between industrialised and developing countries, international manufacturing, production systems design, and quality & reliability management. Much of this research is international in context, with a particular focus on the Asian region. Dr David is a member of Aston Business School's Technology and Operations Management (TOM) Research Group. Dr David has authored and co-authored several books as well as numerous articles in the areas of specialisation. Dr David has also undertaken consulting assignments for the European Commission (EC) and the United Nations Industrial Development Organization (UNIDO). His industrial experience includes periods in the automotive components and electrical equipment industries. Previous academic appointments have been with the former Wolverhampton Polytechnic (now Wolverhampton University) and a secondment to the Malaysian National Institute of Public Administration where he was a training consultant.
Professor David holds MSc and PhD degrees from the University of Birmingham. He is a Chartered Engineer and a member of a number of professional bodies including the European Operations Management Association (EurOMA), the Production and Operations Management Society (POMS), the Chartered Management Institute (CMI), the Decision Sciences Institute (DSI), and the Institution of Electrical Engineers (IEE) - Management and Design Division. He is immediate past President of the European Operations Management Association (EurOMA) and a member of the Executive Council of the International Association for Management of Technology (IAMOT). Professor David is General Editor of "Journal of Manufacturing Technology Management", published by Emerald, and serve on the editorial advisory boards of several other academic journals. These include "International Journal of Operations and Production Management", "International Journal of Entrepreneurship and Innovation Management", "Benchmarking for Quality Management and Technology", "International Journal of Technology Transfer and Commercialisation", "Business Process Management Journal", "Journal of Technology Management in China", "Brazilian Journal of Operations and Production Management" and "Journal of International Business and Entrepreneurship".
Tutorial Speaker: Professor Andrew Kusiak
Dr. Andrew Kusiak is a Professor in the Department of Mechanical and Industrial Engineering at the University of Iowa in Iowa City, Iowa. He is interested in applications of computational intelligence in automation, manufacturing, product development, pharmaceutical industry, and healthcare. Dr. Kusiak has published numerous books and technical papers in journals sponsored by professional societies, such as AAAI, ASME, IEEE, IIE, ESOR, IFIP, IFAC, INFORMS, ISPE, and SME. He speaks frequently at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak serves on editorial boards of numerous journals, edits book series, and is the Editor-in-Chief of the Journal of Intelligent Manufacturing.
Tutorial Topic: Data Mining and Farming in Supply Chain Management
Many data mining projects are based on data sets collected for various purposes, ranging from routinely collected data to process improvement projects and data required by regulatory bodies. In some cases, the set of collected features might be large (a wide data set) and more than sufficient for extraction of knowledge. In other cases, the data set might be narrow and insufficient to extract meaningful rules or the data may even not exit.
The mining of wide data sets has received much attention in data mining literature. Feature selection models and algorithms have been developed for such data sets.
Determining features for which data should be collected in the absence of a data set or its partial availability (a narrow set) has not been sufficiently addressed in the literature. Yet, this issue is of paramount importance as the interest in data mining is growing. The processes and methods used to determine the most appropriate features for data collection and subsequent data analysis are referred to as data farming. Various data mining and data farming methods will be presented and illustrated with examples.
Please see additional details for registration, abstract submission, accommodation at: http://www.nchu.edu.tw/scmis2006/ or contact the Organising Chairpersons:
|
Professor Tzong-Ru Leo Lee
Institute of E-Commerce
National Chung Hsing University, Taiwan
trlee@nchu.edu.tw |
Professor Chien-Ta Bruce Ho
Institute of E-Commerce
National Chung Hsing University, Taiwan
bruceho@nchu.edu.tw |
Tel: +886-4-2284-0515; Fax: +886-4-2285-9497
Great Chance to enjoy the beauty of Formosa |
