چکیده مقاله
Purpose:The main purpose of this study is to develop an integrated model for identifying, prioritizing, and structurally analyzing the barriers to the localization of emerging technologies in the automotive industry using multi criteria decision making and structural modeling methods The study seeks to identify the key barriers, determine their relative importance, and examine the causal relationships among them Methodology:This study is applied in purpose and descriptive–analytical in nature In the first stage, barriers to technology localization were identified through a systematic literature review and expert opinions from specialists in technology management and the automotive industry Subsequently, the Fuzzy SWARA method was employed to assign weights to and prioritize the identified barriers Interpretive Structural Modeling ISM was then used to analyze the structural relationships and determine the causal linkages among the barriers Finally, MICMAC analysis was applied to classify the barriers into four categories—driving, linkage, dependent, and autonomous—based on their driving power and dependence Findings:The findings indicated that inadequate technological infrastructure, insufficient investment in research and development, and dependence on foreign technologies are among the most influential barriers to technology localization The ISM results also revealed a hierarchical structure among the identified barriers, in which infrastructural factors at the lower levels act as the main drivers of other barriers Furthermore, the MICMAC analysis showed that certain factors play critical linkage roles within the system and exert the greatest influence on the dynamics of the overall structure Originality/Value:The originality of this study lies in the integration of Fuzzy SWARA, ISM, and MICMAC methods to simultaneously analyze the importance, structural relationships, and systemic roles of barriers to technology localization By accounting for uncertainty in expert judgments, this approach enables a network based and multilevel analysis of the barriers and improves decision making accuracy in technology policy making
کلیدواژهها
نویسندگان
Leila Abdollahzadeh Ramehormozi
Corresponding Author; Assistant Professor, Department of Economics, Islamic Azad University, North Tehran Branch, Tehran, Iran
Erfan Khorshidkhani
author; Master’s Student in International Business Management, Islamic Azad University, North Tehran Branch, Tehran, Iran
شیوه ارجاع
Abdollahzadeh Ramehormozi , Leila and Khorshidkhani , Erfan,1405,Dynamic Modeling of Barriers to the Localization of Emerging Technologies in the Automotive Industry Using ISM–MICMAC and Fuzzy SWARA,12th International Conference in Management & Industry,Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس بین المللی مدیریت و صنعت31 تیر 1405 · تهران