CALL FOR PAPERS
Special Session on
Innovation via Collective Intelligences and Globalization
in Business Management (ICIGBM)
in conjunction with
The 6th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2014)
Time and Place : April 7 - 9, 2014, Bangkok, Thailand
Website : http://www.ic.kmitl.ac.th/aciids2014/icigbm2014.html
Introduction
Due to the rapid development of communication technology, consumer-involved designing and the realization of customers' importance have taken part in Co-creation Model in the operations of enterprises (Wayne et. al, 2010). This trend means that customers often form various non-official tribes where they exchange values and experiences. Business organizations also use conferences and exhibitions to pass organizational information to customers. As a consequence, a wide variety of material is left on the Internet and has become reference materials for the decision makers. Hence, to convert the materials of such big volume to support intelligence activities of the decision makers has become a major topic.
Computational Collective Intelligence, in general, deals with soft methods for processing intelligences of members of a collective to make an intelligence of whole collective, or to realize tasks addressed to the collective members [Nguyen et. al, 2011]. In addition, Web 2.0 has enabled users to post freely their own contents which have brought the social sharing of current knowledge on the internet to a new level. Moreover, Text mining is a textual data mining approach which seeks to extract useful information from data sources through the identification and exploration of interesting patterns [Feldman and Sanger, 2007]. Text Mining, accompanied by Information Retrieval, Social Networks, and Small World, could be used to analyze large volume documents to find words and phrases with high frequency and high co-occurrence, as well as the not-so-frequent words yet with significant structures, and eventually convert them into visual graphics. Thus, decision makers can build innovative and sensible stories using the ideas revealed in the graphics, especially the ones made from "the words of low (/rare) support and high (/significant) confidence", so as to find out the possible solutions for decision making.
By opening of local and nationalistic perspectives to a broader outlook of an interconnected and interdependent world with free transfer of capital, goods, and services across national frontiers, the global trade represents a significant share of gross domestic product, industrialization, advanced transportation, multinational corporations, and outsourcing. Facing such worldwide opportunities, many international enterprises are seeking proper solutions, which are tied with firm performance and innovation, to meet the needs of consumers with different culture.
Therefore, assisting managers in getting a well-rounded understanding of organizational situations, establishing common values among customers as well as between customers and organizations, and providing aids for managers to develop commonly favoured innovative alternatives through customers have become our challenges.
Topics of Interest
The topics of this special session cover (but are not limited to):
- Innovative Products Combination using Text Mining
- Consumer Behavior, Organizational Behavior, Management Science, Operations and Policy
- Innovative Business Opportunity using Computational Collective Intelligence
- Emerging Technology Opportunity using Text Mining
- Computational Collective Intelligence in Broking Model and Group Trading
- Computer-Mediated Communications using Computational Collective Intelligence
- International Business Management, Marketing Management and Operation Management
- Computational Collective Intelligence in Curriculum and Instructionrtificial Intelligence
Chairs
- Professor Chao-Fu Hong
Department of Information Systems, Aletheia University, Taiwan
- Dr. Pen-Choug Sun
Department of Information Systems, Aletheia University, Taiwan
- Dr. Yuh-Shy Chuang
Department of International Business Management, Chien Hsin University, Taiwan
Program Committee
| Ya-Fung Chang | Tamkang University, Taiwan |
| Peng-Wen Chen | Oriental Institute of Technology, Taiwan |
| Kuan-Shiu Chiu | Aletheia University, Taiwan |
| Tzu-Fu Chiu | Aletheia University, Taiwan |
| Chia-Ling Hsu | Tamkang University, Taiwan |
| Fang-Cheng Hsu | Aletheia University, Taiwan |
| Rahat Iqbal | Coventry University, UK |
| Min-Huei Lin | Aletheia University, Taiwan |
| Nazaraf Shah | Coventry University, UK |
| Ai-Yun Su | Tamkang University, Taiwan |
| Ai-Ling Wang | Tamkang University, Taiwan |
| Henry Wang | Chinese Academy of Sciences, China |
| Leuo-Hong Wang | Aletheia University, Taiwan |
| Hung-Ming Wu | Aletheia University, Taiwan |
| Feng-Sueng Yang | Aletheia University, Taiwan |
| Ming-Chien Yang | Aletheia University, Taiwan |
