This research is focusing on analyzing readiness of automotive manufacturing firm on Industry 4.0 towards quality performance. In the era of globalization, most manufacturing firms all over the world are constantly looking for ways to increase productivity. The manufacturing industry is mainly faced with the problem of Industry 4.0’s awareness and implementation. Top and middle management of DRB-HICOM Automotive manufacturing firm from all departments have been selected as a sample study. The questionnaire has been used to get the feedback from top and middle management about readiness of Industry 4.0. There are three main objectives that were assessing the level of firm’s characteristics, determining the level of Industry 4.0 readiness for DRB-HICOM Automotive manufacturing company, namely via variables of Applied Technology, Enterprise Resource Planning (ERP), Internet of Things (IoT), Cyber Physical System (CPS) and determining the relationship between the Industry 4.0 and quality performance. Quantitative method was used in this research which incoperates the distribution of 96 questionnaires to the respondents involving DRB-HICOM Automotive manufacturing firm. In terms of conducting the required data analysis, Statistical Package for Social Science (SPSS) version 22 was used. Result shows that all related constructs have a significant yet strong relationship between Industry 4.0 and quality performance. It is hoped that this initial Industry 4.0 work will help to spur future research about implementation of Industry 4.0, across the boards among many industrial sectors.
Big data management (BDM) is one emerging approach in creating new values out of existing digital data in this era of Industrial Revolution 4.0. Many business firms, typically in banking and marketing sectors, have initiated their moves towards embedding big-data driven approach into their strategic planning, business direction and hence, implementing it actively in their daily operations.
Given the ongoing epidemic coupled with low acceptance of electronic payment system, such could affect individual behavior. It is through the identification of this factors that affect individual behavior that aide toward overcoming the present challenges faced in influencing individual participation in electronic payment system. The main aim of this study is to propose a conceptual framework on the term of improving the adoption of electronic payment system. Through the incorporation of grounding theory of unified theory of acceptance model and health benefit model from both quantitative and qualitative studies, we select three influencing variables perceived susceptibility, perceived severity, perceived health risk which affect electronic payment adoption. This paper further explores the impact of identified variables perceived susceptibility, perceived severity the role of perceived health risk as mediator. Finally, this paper finalized a conceptual model after exploring previous studies and propose an empirical investigation for validation in future for researchers and practitioners.
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