Blockchain for Supply Chain Management PracticeBased View Alshakhs
Blockchain for Supply Chain Management: Practice-Based View Alshakhs Adeeb – University of Colorado Denver Dr. Ramirez Ronald – University of Colorado Denver Dr. Jiban Khuntia – University of Colorado Denver 1
Problem Identification & Motivation • Competitive Environment Issues: (Lindman et al. 2017): • Operational performance: Food can be contaminated during transportation processes (Verhoeven et al. 2018). • Product Quality: Lack of mechanisms to track food products from its origin in the supply chain (Kshetri and Loukoianova 2019). • Motivation: • Blockchain can easily recall products in the supply chain (Kshetri and Loukoianova 2019). • Ability to track real-world assets at different stages in the supply chain (Beck et al. 2017; Treiblmaier 2018). • Ability to increase transparency and accountability (Kshetri 2018; Treiblmaier 2018). • Reduce fraud, errors, and shipping costs as well as improving inventory management (Treiblmaier 2018; Verhoeven et al. 2018). • Blockchain can lead firms to achieve transformation in digital supply chains (Korpela, K. , Hallikas and Dahlberg 2017). 2
Gaps in the Literature Lack to evaluate the effectiveness of blockchain scalability such as throughput and latency (Yli-Huumo et al. 2016). Call for papers to conduct conceptual and empirical studies (Beck et al. 2017). No academic papers investigated the relationship between blockchain and SCM from theoretical based perspectives (Treiblmaier 2018). Blockchain for Supply Chain Management: Practice-Based View 3
Research Questions • (1) What are the implications of the blockchain for supply chain management and operational process management practices? • (2) Will the blockchain impact practices to create information systems capability and increase operational performance? 4
Conceptual Model of PBV approach 5
Methodology • Data: Food Firms in the United States • Survey Questionnaire (5 Likert Scale) • Identified the level of application and granularity of information capture across the supply chain. • DV: “Operational performance”: at the aggregate level of the food firms. • IVs: SCM practices, OPM practices, blockchain implementation. • Med. V: ISI capability • Controls: Firm Size, Firm Type: agriculture, manufacturing, wholesales, farmers’ markets. • Analysis technique: • Structural Equation Modeling (SEM) 6
Implications & Future Research • Shed the lights of how blockchain is impacting food firms and their business partners in the supply chain context. • This research will contribute to food firms as a successful implementation of blockchain with SCM and OPM practices. • Future research will include an empirical examination of theoretical model in the food industry. • The integration of practices would influence to creation of the ISI capability that will improve food safety as well as sustainability in processes efficiency. 7
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