Optimizing Supply Chain Visibility through Blockchain Implementation in the Food Industry

Thesis Abstract

The complexity and fragmentation inherent in supply chains within the food industry have posed significant challenges to achieving transparency, traceability, and real-time visibility, which are critical for ensuring food safety, minimizing counterfeiting, and enhancing consumer trust. Despite advancements in digital technologies, current systems often lack integration, leading to information silos and delays that compromise decision-making and operational efficiency. This study aims to explore how blockchain technology can be leveraged to optimize supply chain visibility in the food sector, focusing on enhancing data sharing, traceability, and stakeholder collaboration. The specific objectives include (1) assessing the current state of supply chain visibility and data sharing practices among key stakeholders in the food industry, (2) identifying the technological and organizational barriers to implementing blockchain solutions, (3) designing an integrated blockchain framework tailored to the needs of food supply chains, and (4) evaluating the impact of blockchain implementation on supply chain transparency, traceability, and stakeholder trust. The research adopts a qualitative and quantitative mixed-methods approach, employing a case study design within a prominent food manufacturing company operating across multiple regions. The population comprises supply chain managers, logistics coordinators, quality assurance personnel, and IT specialists involved in the company's food distribution network, totaling approximately 150 individuals. A purposive sampling technique selected 60 participants for in-depth interviews and focus group discussions, while a stratified random sampling method was used to select 200 supply chain documentation records for quantitative analysis. Data collection instruments include semi-structured interview protocols, questionnaires adapted from validated supply chain visibility scales, and archival data on supply chain performance metrics. Data analysis employs thematic analysis for qualitative data, guided by Braun and Clarke’s approach, to identify key themes related to barriers and facilitators of blockchain adoption. Quantitative data are analyzed using regression analysis to examine relationships between blockchain implementation variables and supply chain performance indicators, such as traceability accuracy, lead times, and incident reporting rates. Structural equation modeling (SEM) is employed to test the hypothesized relationships between technological integration and stakeholder trust, underpinned by the Transaction Cost Economics and Diffusion of Innovations theories. It is anticipated that the findings will demonstrate that blockchain technology significantly enhances supply chain visibility by reducing information asymmetry, improving traceability accuracy, and fostering increased trust among supply chain actors. The study expects to identify critical organizational and technological barriers, such as resistance to change and scalability issues, which can be addressed through targeted interventions. Furthermore, the research aims to propose an operational blockchain framework optimized for the specific needs of food supply chains, highlighting best practices for implementation. This study contributes novel insights into the application of blockchain in the food sector, particularly in developing countries where supply chain efficiency remains a challenge. It advances the theoretical understanding of technology adoption in complex supply environments and offers practical guidance for industry stakeholders seeking to implement blockchain solutions. The main conclusion emphasizes that strategic integration of blockchain technology is pivotal for achieving end-to-end supply chain visibility, with recommendations including stakeholder engagement, scalable system design, and capacity building to facilitate widespread adoption. The research underscores the potential of blockchain as a transformative tool in ensuring food safety, traceability, and sustainability in global food supply chains.