ADOPTION OF EMERGING TECHNOLOGY TOOLS IN LOGISTICS INDUSTRY: PRIORITIZATION USING ANP AND BOCR METHODS

Abstract

This study aims to prioritize technology tools in the logistics industry. It focuses on four key technology trends: Augmented Reality (AR), the Internet of Things (IoT), Big Data, and Robotics and Automation (R&A). The objective is to determine the prioritization and ranking of these technologies in the logistics sector using the Analytic Network Process (ANP) model and analyzing using the Benefits, Opportunities, Costs, and Risks (BOCR) model. The study identified specific criteria and sub-criteria to evaluate the technologies, and experts from the fields provided judgments based on these criteria. Applying the ANP and BOCR models, the research presents the ranking of the technology trends, highlighting their importance and potential impact on the logistics industry. The findings of this research help to gain further knowledge of the technology adoption in the logistics sector and provide valuable insights for industry professionals and decision-makers.