Identifying & evaluating of technological capabilities factors in Iran automotive industry (Case Study: IRANKHODRO)
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.
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Designing a model for improving organizational performance based on innovative strategy, capacities and human capital(case study : Ports and Maritime Organization of the country)
Mohammadjavad Golzadeh *, , Neda Farahbakhsh
Journal of Future Studies of the Islamic Revolution, -
Presentation and Validation of a Model for Factors Affecting Marketing and Competitiveness in the Automotive Industry of Iran
Iman Javadi, Saber Khandan Alamdar *, Hossein Ghazanfari
Management Strategies and Engineering Sciences, Autumn 2023 -
Identification Technological capabilities factors and comparison in internal development with under license projects in Iran automotive industry by using Fuzzy Delphi, DANP & TOPSIS analytical methods
, Mohamad Cheraghali *,
International Journal Of Nonlinear Analysis And Applications, Nov 2023