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Neural Computing and Applications

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01-07-2015 | Original Article

A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors

Authors: Arun Kumar Sangaiah, Prabakar Rontala Subramaniam, Xinliang Zheng

Published in: Neural Computing and Applications | Issue 5/2015

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Abstract

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.

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Title: A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors
Authors: Arun Kumar Sangaiah
Prabakar Rontala Subramaniam
Xinliang Zheng
Publication date: 01-07-2015
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 5/2015
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-014-1771-1

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