Abstract
The offshore/onsite teams’ knowledge transfer (KT) effectiveness is one of the key determinants for achieving the outcome of global software development (GSD) projects. In this study, the significance of offshore/onsite teams (GSD teams) KT effectiveness in GSD projects is measured through various factors: knowledge, team, technology, and organization factors. Moreover, the assessment framework for the integration of knowledge, team, technology, and organization factors for evaluating KT effectiveness in GSD projects has not been adequately available in the existing literature. For this motivation, the main objective of this study is to propose the assessment framework to evaluate offshore/onsite teams KT effectiveness with reference to GSD project outcome. For evaluating KT effectiveness of GSD teams, we have integrated three Fuzzy Multi-Criteria Decision Making (FMCDM) methodologies: (a) Fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), (b) Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and (c) Elimination Et Choix Traduisant la REaite (ELECTRE). Further, the hybridization of fuzzy DEMATEL, TOPSIS, and ELECTRE has not available in the existing literature. Based on this research gap, we have integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating KT effectiveness of offshore/onsite teams in the context of GSD project outcome. Subsequently, the applicability and capability of proposed framework has been validated by software experts at Inowits Software Organization in India.


Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Sangaiah AK, Thangavelu AK (2014) An adaptive neuro-fuzzy approach to evaluation of team-level service climate in GSD projects. Neural Comput Appl 25(3–4):573–583
Sangaiah AK, Thangavelu AK, Gao XZ, Anbazhagan N, Durai MS (2015) An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm. Appl Soft Comput 30:628–635
Gopal J, Sangaiah AK, Basu A (2015) integrating knowledge, team, technology and organizational factors: mediating the role of knowledge transfer effectiveness with reference to GSD project outcome. World Appl Sci J 33(1):14–26
Sangaiah AK, Subramaniam PR, Zheng X (2015) A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors. Neural Comput Appl. doi:10.1007/s00521-014-1771-1
Sangaiah A, Thangavelu A (2013) An exploration of FMCDM approach for evaluating the outcome/success of GSD projects. Open Eng 3(3):419–435
Arun Kumar S, Thangavelu AK (2013) Factors affecting the outcome of global software development projects: an empirical study. In: International conference on computer communication and informatics (ICCCI). IEEE Explore, pp 1–10. doi:10.1109/ICCCI.2013.6466113
Arun Kumar S, Thangavelu Arun Kumar (2012) Exploring the influence of partnership quality factors towards the outcome of Global software development projects. Int Rev Comput Softw 7(5):2159–2172
Gopal J, Sangaiah AK, Basu A, Gao XZ (2015) Integration of fuzzy DEMATEL and FMCDM approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome. Int J Mach Learn Cybern. doi:10.1007/s13042-015-0370-5
Gopal J, Sangaiah AK, Basu A, Reddy CP (2015) Towards identifying the knowledge codification effects on the factors affecting knowledge transfer effectiveness in the context of GSD project outcome. In: Emerging ICT for bridging the future—proceedings of the 49th annual convention of the Computer Society of India (CSI), vol 1, pp 611–620
BaykasoğLu A, KaplanoğLu V, DurmuşOğLu ZD, ŞAhin C (2013) Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Syst Appl 40(3):899–907
Büyüközkan G, Çifçi G (2012) A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst Appl 39(3):3000–3011
Chen JK, Chen IS (2010) Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Syst Appl 37(3):1981–1990
Kaya T, Kahraman C (2011) An integrated fuzzy AHP–ELECTRE methodology for environmental impact assessment. Expert Syst Appl 38(7):8553–8562
Kabak M, Burmaoğlu S, Kazançoğlu Y (2012) A fuzzy hybrid MCDM approach for professional selection. Expert Syst Appl 39(3):3516–3525
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Patil SK, Kant R (2014) A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Appl Soft Comput 18:126–135
Wu WW (2012) Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method. Appl Soft Comput 12(1):527–535
Opricovic S, Tzeng GH (2003) Defuzzification within a multicriteria decision model, International Journal of Uncertainty. Fuzziness Knowl Based Syst 11(5):635–652
Sang X, Liu X, Qin J (2015) An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise. Appl Soft Comput 30:190–204
Roszkowska E, Wachowicz T (2015) Application of fuzzy TOPSIS to scoring the negotiation offers in ill-structured negotiation problems. Eur J Oper Res 242(3):920–932
Peng JJ, Wang JQ, Wang J, Yang LJ, Chen XH (2015) An extension of ELECTRE to Multi-criteria decision-making problems with multi-hesitant fuzzy sets. Inf Sci 307:113–126
Sevkli M (2010) An application of the fuzzy ELECTRE method for supplier selection. Int J Prod Res 48(12):3393–3405
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sangaiah, A.K., Gopal, J., Basu, A. et al. An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome. Neural Comput & Applic 28, 111–123 (2017). https://doi.org/10.1007/s00521-015-2040-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-015-2040-7