Examining Factors Influencing the Integration of Blockchain Technology in the Freight Logistics Sector of Pakistan

Abstract

This study examines the blockchain usage of Pakistan's freight logistics industry. A structural equation model is used to explore latent dimensions such as perceived ease of use, perceived usefulness, subjective norm, perceived behavioral control, attitude, and behavioral intention. To understand the specific factors impacting technology adoption decisions in this geographical and industrial location, a diverse sample of 245 Pakistan goods logistics sector operators will be explored. The findings reveal that perceived ease of use influences logistics professionals' behavioral intentions. The significance of clever and user-friendly interfaces emphasizes technology experiences that satisfy the expectations of Pakistani goods logistics workers. However, the perceived utility has a complicated relationship with behavioral intention, emphasizing the need for targeted actions to boost the perceived value of Blockchain technology in Pakistan's logistics business. Subjective norm is a major predictor of behavioral intention. This demonstrates how social and cultural factors influence Pakistani logistics workers' ambitions to use Blockchain. The correlation matrix and covariance analysis demonstrate that there are significant positive relationships between attitude, behavioral intention, perceived ease of use, perceived usefulness, and subjective norm. This detailed examination of the adoption environment offers practitioners, policymakers, and academics context-specific insights, setting the framework for informed freight logistics technology adoption and innovation activities in Pakistan.