نوع مقاله : مقاله علمی-پژوهشی
نویسندگان
1 دانشجوی دکترای مدیریت تکنولوژی، دانشگاه آزاد اسلامی واحد رودهن
2 گروه مدیریت، دانشکده مدیریت و حسابداری، دانشگاه آزاد اسلامی واحد تهران جنوب
3 گروه مدیریت، دانشکده مدیریت و حسابداری، دانشگاه آزاد اسلامی واحد رودهن
کلیدواژهها
عنوان مقاله English
نویسندگان English
The success of Iran's automobile industry depends on the correct understanding of the factors of technological capability and how to improve them. In order to identifying the factors of technological capabilities of Iran automotive industry, it is noticed to the technological capability evaluation models. Based on the experts’ opinions, the technological capability factors were identified in Ramanathan and Panda's model are selected because of their comprehensiveness and compatibility with the automotive industry. preliminary measurement model with 67 indicators is defined. The number of said indicators was reduced to 47 with the opinion of experts and the fuzzy Delphi technique. The questionnaire is defined by 9 factors and 47 indicators. The validity of the questionnaire is confirmed through the calculation of factor loading method and reliability of the questionnaire is also confirmed through the calculation of Cronbach alpha coefficient. Structural equation method (SEM) and partial least squares technique (Smart PLS software) is used to obtain the factors relation model. the overall fit of the model is obtained. The results of the model show that the capabilities of after-sales services, marketing and sales, also part manufacturing has the highest relation, and the capabilities of creativity, innovation, and strategic management are in the next ranks, the capabilities of design and engineering, production, and technology acquisition are in the last ranks.
کلیدواژهها English
1450014 (19 pages) #.c World Scienti¯c Publishing Company DOI: 10.1142/S021987701450014X, (2014).
DOI: http://dx.doi.org/10.22050/ijogst.2020.231146.1551
Doi.org/10/1016/S0166-4972(97)82896-9
Doi:10.3390/joitmc6040097
https://doi.org/10.3390/joitmc8030156
Doi:10/22068/ijae.7.2.2404