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Research & Development of Digital Marketing and Innovation in Commercial Automotive Industry | ||
| International Journal of Digital Content Management | ||
| دوره 4، شماره 7، مهر 2023، صفحه 289-310 اصل مقاله (280.71 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2022.68739.1120 | ||
| نویسندگان | ||
| Soraya Lashgari1؛ sadegh abedi* 2؛ Reza Radfar3؛ Javad Iranban4 | ||
| 1Ph.D Candidate of Department of Technology Management, Science and Research Branch, Islamic Azad University,Tehran, Iran | ||
| 2Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
| 3Assistant Professor, Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 4Assistant Professor, Department of Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran | ||
| چکیده | ||
| Automotive industry particularly, commercial automotive industry, ranks as a key industry in the economic growth. The necessity of investigating the research & development(R & D) activities of digital marketing and innovation in the form of a dynamic system in automotive industry based on the 3 variables: empowerment of supply network, of product innovation, and of digital marketing is quite undisputed. The present research has been done with a view to identifying and evaluating the cause-and-effect interdependent relations governing the variables of R & D of digital marketing and innovation in commercial automotive industry. The research is typically applied, and has been done using the descriptive-survey method. The research community consisted of 50 experts; all with acceptable academic backgrounds and years of experience as executive managers and marketeers in the R & D of automotive industry. To analyze the data, the views of some elected experts on automotive industry, along with Delphi fuzzy and Dematel method were applied. Our findings showed that the variable “Intensity of R & D of digital marketing and innovation” has the most effect on the other variables. The variable “Empowerment of supply network” with the score of 3,25 has the largest amount of interaction with the other variables. Also, the variable “ Empowerment of R & D in digital marketing and innovation” with the score of 1,08 has the smallest amount of interaction with the other variables. | ||
| کلیدواژهها | ||
| Digital Marketing؛ Fuzzy Techniques؛ Industry of Commercial Automotives؛ Innovation؛ Research & Development (R & D) | ||
| مراجع | ||
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