Clustering of Autonomous Vehicle Technologies by Foresight Method
Subject Areas : مدیریت تکنولوژی
Hamid Hanifi
1
*
,
َAdel Azar
2
,
Manouchehr Manteghi
3
1 - Department of Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
3 - University of Industrial Management and Engineering Complex, Malek Ashtar University of Technology, Tehran, Iran
Keywords: Autonomous Vehicle Technology, Technology Foresight, Cross-Impact Balances, MICMAC,
Abstract :
Objective: Research shows that human factors are responsible for more than ninety percent of car accidents. The solution proposed by human to solve this issue is to use autonomous vehicles. On the other hand, since this technology has an effect on social, cultural, economic, technological, and environmental factors, therefore, in this research, an attempt is made to identify and cluster autonomous vehicle technologies, so that by focusing and analyzing this clustering, provide proper preparation for the introduction or development of autonomous vehicle technologies. Methodology: According to the paradigm of the problem, which is derived from the epistemology and ontology of the present research, the research methodology is of qualitative type, and the method of doing it is of the future forsighting type with MICMAC software, and the statistical population of the research were experts in the automotive industry and related industries. The sample was selected non-randomly and judiciously. The data collection tool was interview, and data analysis was done using MICMAC software. Conclusion: The findings of the research were that the effectiveness and effectiveness of autonomous vehicle technologies on each other were determined. Originality: From now on, these results can be used in policy-making and management decisions for the design, implementation and development of autonomous vehicles technologies.
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