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Assessing value of customer involvement in engineered-to-order shipbuilding projects using fuzzy set and rough set theories

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dc.contributor.author Dixit, Vijaya.
dc.contributor.author Chaudhuri, Atanu.
dc.contributor.author Srivastava, Rajiv Kumar.
dc.date.accessioned 2020-02-06T09:29:49Z
dc.date.available 2020-02-06T09:29:49Z
dc.date.issued 2019-02
dc.identifier.citation Dixit, V., Chaudhuri, A., & Srivastava, R. K. (2019). Assessing value of customer involvement in engineered-to-order shipbuilding projects using fuzzy set and rough set theories. International Journal of Production Research, 57(22), 6943-6962. en_US
dc.identifier.issn 1366-588X
dc.identifier.uri https://doi.org/10.1080/00207543.2019.1572928
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/609
dc.description.abstract Customer involvement plays a crucial role in engineered-to-order (ETO) projects. The present study investigates the involvement of customers, with thorough technical knowledge, as resources and co-producers. The study also analyses the impact of customer involvement in sourcing decisions and project execution on project performance (PP) of ETO shipbuilding projects by considering project and customer characteristics. The contributions of this study to the current body of knowledge on customer involvement in ETO projects are twofold. First, it demonstrates that customer involvement at different stages of shipbuilding projects have differential impacts on PP. Customer involvement in sourcing decisions during the early stages of the project has a positive impact, whereas involvement in project execution during the later stages of the project has a negative impact on PP. Second, it reveals that project complexity and customer type together significantly affect the PP. Therefore, the role of project complexity and customer type as potential contingent factors in explaining PP is emphasised. This study also makes a significant methodological contribution by demonstrating the use of fuzzy inference system and rough set theory to analyse qualitative inputs from interviews, when conducting surveys is not possible. en_US
dc.language.iso en en_US
dc.publisher International Journal of Production Research en_US
dc.subject Customer involvement en_US
dc.subject Engineered to order en_US
dc.subject Fuzzy set theory en_US
dc.subject Integration en_US
dc.subject Rough set theory en_US
dc.subject Shipbuilding en_US
dc.subject IIM Ranchi
dc.title Assessing value of customer involvement in engineered-to-order shipbuilding projects using fuzzy set and rough set theories en_US
dc.type Article en_US
dc.volume 57 en_US
dc.issue 22 en_US


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