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Fuzzy Logic-based Risk Evaluation in a Virtual Organisation

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Enterprise Interoperability V

Part of the book series: Proceedings of the I-ESA Conferences ((IESACONF,volume 5))

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Abstract

This paper concerns risk identification and evaluation in a network based enterprise collaboration, such as virtual organisation (VO). Risk factors or sources presented in each of the four stages in a VO’s life cycle - pre-creation, creation, operation and termination, are identified. After having been perceived as risks, these risk factors need to be evaluated. Each risk is described by the probability or likelihood of failure occurrence and risk impact or consequence. Both measures are specified using imprecise linguistic terms and modelled by fuzzy sets. A fuzzy logic based algorithm for collaboration risk evaluation is proposed and analysed. A web service Collaboration Risk Evaluator (CRE), within which the algorithm is embedded, is developed to assist enterprise users to identify risk factors, provide fuzzy assessment on these risk factors, and facilitate control of the risk propagation.

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References

  1. Harland C, Brenchley R, Walker H. Risk in supply networks. Journal of Purchasing and Supply management 2003; 9(2): 51-62

    Article  Google Scholar 

  2. Risk: analysis, perception and management. London: The Royal Society; 1992

    Google Scholar 

  3. Alawamleh M, Popplewell K. Interpretive structural modeling of risk sources in a virtual organisation, International Journal of Production Research 2011; 49(20): 6041-6063

    Article  Google Scholar 

  4. Grabowski M, Roberts KH. Risk mitigation in Virtual Organizations, Organization Science. 1999; 10(6): 704-721

    Article  Google Scholar 

  5. Liu G, Zhang J, Zhang W, Zhou X. Risk assessment of virtual enterprise based on the fuzzy comprehensive evaluation method. In: Wang W. Li Y, Duan Z, Yan L, Li H, Yang X. editor. Integration and Innovation Orient to E-Society. Boston: Springer; 2007. 58-66

    Google Scholar 

  6. Mitchell V. Organisational risk perception and reduction: A literature review, British Journal of Management. 1995; 6(2): 115-133

    Article  Google Scholar 

  7. Chen SJ, Chen SM. Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. IEEE Transaction on Fuzzy Systems 2003; 11(1): 45-56

    Article  Google Scholar 

  8. Wei S, Chen S. A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. Expert Systems with Applications 2009; 36(1): 589-598

    Article  Google Scholar 

  9. Xu Z, Shang S, Qian W, Shu W. A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. Expert Systems with Applications 2010; 37(3): 1920-1927

    Article  Google Scholar 

  10. Ellmann S. Collaborative network models: overview and functional requirements. In: Putnik G, Curz-Cunha M. Virtual enterprise integration: technological and organizational perspectives. Hershey: Idea Group; 2005. 102-123

    Google Scholar 

  11. Camarinha-Matos L, Afsarmanesh H. Elements of a base VE infrastructure, Computers in Industry 2003; 51(2): 139-163

    Article  Google Scholar 

  12. Singh M, Kant R. Knowledge management barriers: an interpretive structural modeling approach. International Journal of Management Science and Engineering Management 2008; 3(2): 141-150

    Google Scholar 

  13. Chiles T, MicMakin J. Integrating variable risk preferences, trust, and transaction cost economics. The Academy of Management Review 1996; 21(1): 73-99

    Google Scholar 

  14. Thoben K, Seifert M, Westpal I. Measuring collaboration performance in Virtual Organisations. In: Camarinha-Matos L, Afsarmanesh H, Novais P, Analide C. editor. Establishing the foundation of collaboration networks. Boston: Springer; 2007

    Google Scholar 

  15. Yu Z, Yan H, Cheng T. Benefits of information sharing with supply chain partnerships. Industrial Management and Data Systems 2001; 101(3): 114-121

    Article  Google Scholar 

  16. Brighouse D, Hontoir J. Financial markets and risk. London: Global Professional Publishing; 2008

    Google Scholar 

  17. Zsidisin G, Ellram L, Carter J. An analysis of supply risk assessment techniques. International Journal of Physical Distribution & Logistics Management 2004; 34(5): 397-413

    Article  Google Scholar 

  18. Simons R. How risky is your company? Harvard Business Review 1999; 77(3): 85-95

    Google Scholar 

  19. Schmucker KJ. Fuzzy sets, natural language computations, and risk analysis. Maryland: Computer Science Press; 1984

    Google Scholar 

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Acknowledgement

This work has been funded by the EC through the Project SYNERGY: Supporting highly adaptive network enterprise collaboration through semantically-enabled knowledge services (Grant Agreement No. 216089). The authors wish to acknowledge the Commission for their support.

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Correspondence to Muqi Wulan .

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© 2012 Springer-Verlag London Limited

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Wulan, M., Petrovic, D., Popplewell, K. (2012). Fuzzy Logic-based Risk Evaluation in a Virtual Organisation. In: Poler, R., Doumeingts, G., Katzy, B., Chalmeta, R. (eds) Enterprise Interoperability V. Proceedings of the I-ESA Conferences, vol 5. Springer, London. https://doi.org/10.1007/978-1-4471-2819-9_28

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  • DOI: https://doi.org/10.1007/978-1-4471-2819-9_28

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2818-2

  • Online ISBN: 978-1-4471-2819-9

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