Abstract：
This study aims to analyse and determine the effect of Big Data, the Internet of Things (IoT), and physical-cyber system variables on human factors in refinery industry operators and the influence of human factors and managerial initiatives on sustainable manufacturing. The method used in this study is a quantitative method using partial least square-structural equation modelling (PLS-SEM). The respondents in this study were workers of Indonesia\'s upstream oil and gas sector. The results of this study indicate that Big Data, IoT, and Physical Cyber Systems (PCS) have a positive and significant effect on the human factor. In addition, there is a significant relationship between human factors and sustainable manufacturing. Furthermore, it is also found that there is a relationship between managerial initiatives and sustainable manufacturing. However, the managerial initiative cannot moderate the human factor and sustainable manufacturing.
This research explores the profound influence of Industry 4.0 technologies, encompassing big data, IoT, and physical-cyber systems (PCS), on the human aspects of Indonesia’s oil and gas sector. The outcomes of this study offer valuable perspectives on how Industry 4.0 technologies can revolutionise the Indonesian oil and gas industry while underscoring the significance of factoring in human elements and sustainable practices within this dynamic landscape.
This research explores the profound influence of Industry 4.0 technologies, encompassing big data, IoT, and physical-cyber systems (PCS), on the human aspects of Indonesia’s oil and gas sector. The outcomes of this study offer valuable perspectives on how Industry 4.0 technologies can revolutionise the Indonesian oil and gas industry while underscoring the significance of factoring in human elements and sustainable practices within this dynamic landscape.
摘要：
本研究旨在分析和确定大数据的影响，物联网(IoT)，和物理网络系统变量对炼油行业运营商的人为因素以及人为因素和管理举措对可持续制造的影响。本研究中使用的方法是使用偏最小二乘结构方程模型（PLS-SEM）的定量方法。这项研究的受访者是印度尼西亚上游石油和天然气部门的工人。这项研究的结果表明，大数据，IoT,和物理网络系统(PCS)对人为因素有积极而显著的影响。此外,人为因素与可持续制造之间存在显著关系。此外，还发现，管理举措与可持续制造之间存在关系。然而,管理主动性不能缓和人为因素和可持续制造。
这项研究探讨了工业4.0技术的深远影响，包含大数据，IoT,和物理网络系统(PCS)，印度尼西亚石油和天然气部门的人文方面。这项研究的结果提供了关于工业4.0技术如何彻底改变印尼石油和天然气行业的宝贵观点，同时强调了在这种动态环境中考虑人为因素和可持续实践的重要性。
这项研究探讨了工业4.0技术的深远影响，包含大数据，IoT,和物理网络系统(PCS)，印度尼西亚石油和天然气部门的人文方面。这项研究的结果提供了关于工业4.0技术如何彻底改变印尼石油和天然气行业的宝贵观点，同时强调了在这种动态环境中考虑人为因素和可持续实践的重要性。
