caa a22 4500 606160132 CHVBK 20210128100628.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00521-014-1771-1 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1771-1 A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors [Elektronische Daten] [Arun Sangaiah, Prabakar Subramaniam, Xinliang Zheng] The theoretical basis for studying the phenomenon of Global Software Development (GSD) draws upon one of the key research streams, that is, the Organizational Behavior (OB) research. The focus of this study has led to two research problems: partnership quality and service climate aspects are addressed which have given an insight into the OB research on GSD teams. Moreover, this study classifies results from the partnership quality and service climate aspects into one integrated framework, which covers 18 attributes to explore the GSD outcome factors perceived by GSD teams in OB research phenomenon. To evaluate partnership quality and team service climate aspects with reference to the GSD project outcome, we have integrated the fuzzy Decision-Making Trial and Evaluation Laboratory Model (DEMATEL) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) approach, which is more appropriate to find the significance of criteria. The empirical application of this hybrid approach for evaluating GSD project outcome factors has been tested in Indian software organizations. Consequently, the results of this study provide a vivid picture and facilitate the organization to reveal the importance of OB research on GSD teams. The Natural Computing Applications Forum, 2014 Global Software Development (GSD) nationallicence Organizational Behavior (OB) nationallicence Partnership quality nationallicence Team service climate nationallicence Fuzzy DEMATEL nationallicence Fuzzy TOPSIS nationallicence Sangaiah Arun School of Computing Science and Engineering, VIT University, Vellore, India aut Subramaniam Prabakar Discipline of Information Systems and Technology, University of KwaZulu-Natal, Pietermaritzburg, South Africa aut Zheng Xinliang Department of Computer Science and Information Technology, Frostburg State University, Frostburg, USA aut Neural Computing and Applications Springer London 26/5(2015-07-01), 1025-1040 0941-0643 26:5<1025 2015 26 521 https://doi.org/10.1007/s00521-014-1771-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1771-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sangaiah Arun School of Computing Science and Engineering, VIT University, Vellore, India aut NATIONALLICENCE 700 1- Subramaniam Prabakar Discipline of Information Systems and Technology, University of KwaZulu-Natal, Pietermaritzburg, South Africa aut NATIONALLICENCE 700 1- Zheng Xinliang Department of Computer Science and Information Technology, Frostburg State University, Frostburg, USA aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/5(2015-07-01), 1025-1040 0941-0643 26:5<1025 2015 26 521