Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/609
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dc.contributor.authorDixit, Vijaya.-
dc.contributor.authorChaudhuri, Atanu.-
dc.contributor.authorSrivastava, Rajiv Kumar.-
dc.date.accessioned2020-02-06T09:29:49Z-
dc.date.available2020-02-06T09:29:49Z-
dc.date.issued2019-02-
dc.identifier.citationDixit, 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.issn1366-588X-
dc.identifier.urihttps://doi.org/10.1080/00207543.2019.1572928-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/609-
dc.description.abstractCustomer 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.isoenen_US
dc.publisherInternational Journal of Production Researchen_US
dc.subjectCustomer involvementen_US
dc.subjectEngineered to orderen_US
dc.subjectFuzzy set theoryen_US
dc.subjectIntegrationen_US
dc.subjectRough set theoryen_US
dc.subjectShipbuildingen_US
dc.subjectIIM Ranchi-
dc.titleAssessing value of customer involvement in engineered-to-order shipbuilding projects using fuzzy set and rough set theoriesen_US
dc.typeArticleen_US
dc.volume57en_US
dc.issue22en_US
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