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2013 | 3 | 1 | 116-130

Article title

Model for Social Customer Relationship Management. Multi-Agent Approach

Content

Title variants

Languages of publication

EN

Abstracts

EN
The main purpose of this paper is to present an idea of social CRM, and first of all a multi-agent approach for designing and developing social CRM systems. To demonstrate this approach the prototype of a multi-agent social CRM system (MASCRM) is described. The structure of this paper is organized as follows: first, we provide an overview of the social CRM system. Then, we present agent technology that provides some foundation for the development of a social CRM system. Next, the MASCRM concept and its components are presented in detail followed with a description of the prototype system. Finally, we summarize the key points of the research and give directions for future research.

Year

Volume

3

Issue

1

Pages

116-130

Physical description

Contributors

  • Prof., Ph.D., hab., D.Sc., Department of Business Informatics, Faculty of Economics, University of Economics in Katowice, Poland,
  • Ph.D., Department of Business Informatics, Faculty of Economics, University of Economics in Katowice, Poland

References

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  • 2. Bellifemine F., Caire G., Greenwood D. (2007), Developing Multi-agent Systems with JADE, John Wiley & Sons Ltd., Chichester.
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  • 4. Bordini R., Hübner J., Wooldridge, M. (2007), Programming Multi-Agent Systems in AgentSpeak using Jason, John Wiley & Sons Ltd., New York.
  • 5. Chang-Hyun J., Einhorn J. M. (2005), A BDI Agent-Based Software Process. “Journal of Object Technology”, 4(9), p. 101-121.
  • 6. Deloitte (2011), CRM 2.0 or Social CRM for Financial Industry. http://www.deloitte.com/assets/DcomCroatia/Local%20Assets/Documents/2012/FSINews03.02-Social_CRM.pdf, accessed 15.09.2012.
  • 7. Ferber J. (1999), Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Addison - Wesley Longman, Boston.
  • 8. Franklin S., Graesser A. (1996), Institute for Intelligent Systems, University of Memphis Press, Memphis.
  • 9. Greenberg P. (2010), CRM at the Speed of Light. Social CRM Strategies, Tools, and Techniques for Engaging Your Customer, McGraw-Hill, New York.
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  • 16. Oijen J., van Doesburg W. A., Dignum F. (2011), Goal-based Communications using BDI Agents as Virtual Humans in Training: An ontology Driven Dialogue Systems, [in:] J. Dignum (eds.), Agents for Games and Simulations II, Springer-Verlag, Berlin Heidelberg, p. 38-52.
  • 17. Olszak C. M. (2012), Competing with Business Intelligence. Proceedings on IT for Practice, VSB-TU, Ostrava, p. 98-108.
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  • 21. Simon H. (1957), Models of Man: Social and Rational–Mathematical Essays on Rational Human Behavior in a Social Setting, Wiley, New York.
  • 22. Sterling L., Taveter K. (2010), The Art of Agent-Oriented Modeling, The MIT Press Cambridge, London.
  • 23. Sycara K. P. (1998), Multiagent Systems, “Artificial Intelligence Magazine”, 19(2), p. 79-92.
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  • 28. Wooldridge M. (2009), An Introduction

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-2248ed74-5ad3-4663-8bb5-8b50a782b32f
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