Abstract
The aim of this work is evaluating and analyzing the performance indicators of business process outsourcing. The criteria influencing the performance of business process outsourcing are indicated through a large literature survey and experts’ opinions, and a multi-criteria decision model is thought to be appropriate because of the complexity of the problem. Fuzzy cognitive map methodology is a suitable tool due to the presence of causalities, positive as well as negative directions of relationships among criteria, and the difficulty of expressing the interrelations with crisp numbers. The proposed methodology provides an evaluation for clients to assess their service providers, a self-evaluation for service providers. Hence, this work proposes a mutual assessment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gotzamani, K., Longinidis, P., Vouzas, F.: The logistics services outsourcing dilemma quality management and financial performance perspectives. Supply Chain Manag.: Int. J. 15(6), 438–453 (2010)
Apak, S., Gümüş, S., Kurban, Z.: Strategic dimension of outsourcing in the information technologies intensified businesses. Procedia – Soc. Behav. Sci. 58, 783–791 (2012)
Papageorgiou, E.I., Markinos, A.T., Gemtos, T.A.: Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application. Appl. Soft Comput. 11, 3643–3657 (2011)
Papageorgiou, E.I., Aggelopoulou, K.D., Gemtos, T.A., Nanos, G.D.: Yield prediction in apples using fuzzy cognitive map learning approach. Comput. Electron. Agric. 91, 19–29 (2013)
Büyüközkan, G., Vardaloğlu, Z.: Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry. Expert Syst. Appl. 39(12), 10438–10455 (2012)
Zhao, Z.Y., Zhu, J., Zuo, J.: Sustainable development of the wind power industry in a complex environment: a flexibility study. Energy Policy 75, 392–397 (2014)
Baykasoğlu, A., Gölcük, I.: Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS. Inf. Sci. 301, 75–98 (2015)
Ahmadi, S., Yeh, C.H., Papageorgiou, E.I., Martin, R.: An FCM-FAHP approach for managing readiness-relevant activities for ERP implementation. Comput. Ind. Eng. 88, 501–517 (2015)
Büyükavcu, A., Albayrak, Y.E., Göker, N.: A fuzzy information-based approach for breast cancer risk factors assessment. Appl. Soft Comput. 38, 437–452 (2016)
Bagdatli, M.E.C., Akbiyikli, R., Papageorgiou, E.I.: A fuzzy cognitive map approach applied in cost-benefit analysis for highway projects. Int. J. Fuzzy Syst. 19(5), 1512–1527 (2017)
Axelrod, R.: Structure of Decision. Princeton University Press, Princeton (1976)
Kosko, B.: Fuzzy cognitive maps. Int. J. Man-Mach. Stud. 24, 65–75 (1986)
Ross, T.J.: Fuzzy Logic with Engineering Applications, 3rd edn. Wiley, Hoboken (2010)
Acknowledgements
This work has been financially supported by Galatasaray University Research Fund 18.402.006.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Goker, N., Esra Albayrak, Y., Dursun, M. (2019). Performance Indicators Evaluation of Business Process Outsourcing Employing Fuzzy Cognitive Map. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_28
Download citation
DOI: https://doi.org/10.1007/978-3-030-04164-9_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04163-2
Online ISBN: 978-3-030-04164-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)