Strategy to Increase the Intention of Using Industry 4.0 Technology, Manufacture Production Monitoring System-Web Based Case Study: Automotive Manufacturing Industry Company

Many technologies to embrace industry 4.0 has developed in manufacture industry to improve their product activities such as monitoring system. The scope of this work to develop models for assessing critical aspects of employee use and acceptance of technology-based products and services. The researches use Technology Readiness Index Model and Technology Acceptance Model that combine knowing as Technology Readiness Acceptance Model which adoption model by Chien Hsin Lin, Hsin-Yu Shih and Peter J. Sher. T (2007). Technology Readiness Model that consist of four variables are Optimism, Innovativeness, Discomfort and Insecurity was carried out to test whether the influencing factors among that variables could be antecedents to the main construct of the technology acceptance model with variables are Perceived ease of use, Perceived Usefulness as observed to be a significant antecedent of the behavior intention to use manufacture production monitoring system web based. The data collected from 43 employees of Automotive Manufacturing Industry and processed using Partial Least Square - Structural Equation Model (SEM). After the influencing factors has determined, the recommendation strategy was designed using Importance Performance Analysis to create an appropriate strategy to increase the intention of Using Industry 4.0 Technology, Manufacture Production Monitoring System Web Based.