论文标题
通过使用系统动力学和模糊dematel,提出了物联网技术创新系统功能相互作用的动态模型
Proposing Dynamic Model of Functional Interactions of IoT Technological Innovation System by Using System Dynamics and Fuzzy DEMATEL
论文作者
论文摘要
物联网技术是对社区发展产生巨大影响的新兴技术之一。鉴于该技术的前景以及该国开发的努力,该技术的决策至关重要。技术创新系统是现代技术政策领域中最重要的动态方法之一。在这种方法中,通过分析影响技术发展的各种功能,可以解释技术进步的正确途径。因此,通过使用系统动力学和模糊的dematel方法,确定了十个因素对新兴技术发展的主要因素,并确定了十个因素对彼此的影响。市场形成,资源动员,对政权的剥削以及政策制定和协调功能对其他功能的影响最直接。此外,决策与协调,市场形成,企业家活动,创造结构和资源动员对其他职能的影响最大。关于系统中的资源限制,决策者应专注于那些对其他因素,对其他因素,在这项研究中,这是市场形成,企业家活动,资源动员,决策和协调。鉴于技术开发的动态性质,该模型可以帮助决策者制定物联网的决策过程。
One of the emerging technologies, which is expected to have tremendous effects on community development, is the Internet of Things technology. Given the prospects for this technology and the country's efforts to its development, policymaking for this technology is very crucial. The technological innovation system is one of the most important dynamic approaches in the field of modern technology policy. In this approach, by analyzing various functions which are influencing the development of a technology, the proper path to technological advancement is explained. For this reason, 10 major factors influencing the development of emerging technologies have been identified based on previous studies in this area and the effect of ten factors on each other was identified by using the system dynamics and the fuzzy DEMATEL method and the interactions between these functions were modeled. Market formation, resource mobilization, exploitation of the regime and policymaking and coordination functions have the most direct effect on the other functions. Also, policymaking and coordination, market formation, entrepreneurial activities, creating structure and resource mobilization have the most total impact on the other functions. Regard to resource constraint in the system, the policy makers should focus on those factors which have the most direct and total impact on the others that in this research are market formation, entrepreneurial activities, resource mobilization and policymaking and coordination. Given the dynamic nature of technology development, this model can help policymakers in the decision making process for the development of the Internet of Things.