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dc.contributor.authorRahman, Shahid
dc.date.accessioned2022-05-12T14:29:13Z
dc.date.available2022-05-12T14:29:13Z
dc.date.issued2021-11
dc.identifier.urihttp://digital.library.wisc.edu/1793/83152
dc.descriptionThis file was last viewed in Adobe Acrobat Pro.en_US
dc.description.abstractThe Technology, Organization, Environment (TOE) framework has been extensively studied in the context of information technology. However, the TOE framework has not yet been utilized to examine determinants of supply chain performance. This study aims to investigate the complex linkages which exist in supply chain performance via the mediating roles of supply chain integration using transaction cost economics, trust theory, resource-based view, resource dependence, and contingency theories as guide. We employed partial least squares structural equation modeling (PLS-SEM) using a two-stage disjoint approach, concentrating on reflective-formative type of higher order constructs. We reviewed the literature to find relevant metrics for similar constructs and applied established scales to assess constructs. A large-scale study was conducted with over 200 senior strategic executives of manufacturing companies. Supply chain integration had positive direct effects on supply chain performance, which was significant and supported. Technology, Organizational Culture, and Environmental Uncertainties had positive impacts on supply chain performance through the mediating roles of supply chain integration that were significant and supported as well. The implications of the study findings and directions are provided for future research.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Wisconsin - Whitewateren_US
dc.subjectBusiness logisticsen_US
dc.subjectInformation technologyen_US
dc.subjectCorporate cultureen_US
dc.titleSupply chain integration and the impacts of information technology capabilities, organizational culture (i.e. customer orientation, buyer dependence), and environmental uncertainties (i.e. supply, demand, technology) on supply chain performanceen_US
dc.typeThesisen_US


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