Integrating TAM/TRI/TPB frameworks and expanding their characteristic constructs for DLT adoption by Service and Manufacturing Industries-Pakistan Context

Abstract

The advent of distributed ledger technology in developed nations is emerging as a new instrument to improve the traditional industry system in the developing states. The adoption of disruptive technology is indeed a necessary condition for the coming future to bring transparency and remove third party trust related issues in the industries. The aim of the current study is to understand the distributed ledger technology (DLT) adoption by service & manufacturing industries-Pakistan context. The conceptual model is based on the traditional adoption theories-namely theory of planned behavior (TPB), technology acceptance model (TAM) and technology readiness index (TRI). In order to analyze the data a partial least square structural equation modeling (PLS-SEM) is used and empirical data is collected from a sample of 211 practitioners working in the Finance, Supply chain and IT Departments. The study result shows that TRI construct-Optimism (OPT) and Innovativeness (INN) have significant impact on Perceived ease of use (PEOU) and insignificant impact on Perceived usefulness (PU). TAM construct- Perceived ease of use (PEOU), Perceived usefulness (PU), attitude (ATT) and TPB-construct perceived behavioral control (BPC) affect the Behavioral Intention (BI). TPB construct-Subjective Norms (SN) have negligible impact on the Behavioral Intention (BI). It is one of the initial studies on Blockchain Technology implementation for Pakistan industries and the result suggest that practitioners would perceive Blockchain Technology adoption free of efforts to arise the maximum benefits for improving the productions efficiency.