Theses and Dissertations
Blockchain Technology Based Supply Chain Systems and Supply Chain Performance: A Resource-Based View
Date of Award
5-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Manufacturing Engineering
First Advisor
Dr. Hiram Moya
Second Advisor
Dr. Anil K. Srivastava
Third Advisor
Dr. Douglas Timmer
Abstract
Blockchain technology (BCT) is set to transform firms’ present ways of managing supply chains. This thesis explores how the efforts by firms to integrate BCT into their supply chain systems and activities, can enable certain supply chain capabilities and subsequently, improve supply chain performance. Using an abductive research approach, qualitative content analyses of 126 cases of firms’ efforts in BCT-based supply chain systems (BCT-SCS) across multiple industries are conducted to identify the BCT-enabled supply chain capabilities and their performance outcomes. Findings reveal that the present BCT-SCS efforts are mainly oriented towards improving the operational-level capabilities namely, information sharing and coordination capabilities rather than strategic-level capabilities namely, integration and collaboration capabilities. The predominant performance outcomes resulting from these capabilities along with the BCT-SCS are quality compliance and improvement, process improvement, flexibility, reduced cost, and reduced process time. However, the performance outcomes vary with industry type, based on the risks that the industry faces. Based on the study’s findings, an integrated framework of research propositions is presented to facilitate future empirical research.
Recommended Citation
Nandi, Madhavi Latha, "Blockchain Technology Based Supply Chain Systems and Supply Chain Performance: A Resource-Based View" (2019). Theses and Dissertations. 561.
https://scholarworks.utrgv.edu/etd/561
Comments
Copyright 2019 Madhavi Latha Nandi. All Rights Reserved.
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