Innovation Management Journal

Innovation Management Journal

Analysis of barriers to green innovation in Iran’s automotive industry: An interpretive structural modeling approach

Document Type : Original Article

Authors
1 MSc Technology Management at Iran University of Science and Technology, Tehran, Iran/ PejmanKianipour@gmail.com
2 Corresponding Author: Assistant Professor at Iran University of Science and Technology, Tehran, Iran/ Mashayekh@iust.ac.ir
3 Assistant Professor at Iran University of Science and Technology, Tehran, Iran/ Zakery@iust.ac.ir
Abstract
The automotive industry is driven towards green innovations due to significant environmental impacts, but this transition is facing challenges in developing countries such as Iran. Identifying barriers to green innovation has become an important issue in sustainable development. This research presents a conceptual framework with a hybrid approach in order to identify and analyze the barriers to green innovation in Iran's automotive industry. For this purpose, by using the existing models and comparative qualitative content analysis method, obstacles were identified and adapted to the conditions of the country. In order to structure green innovation barriers, interpretive structural modeling method has been used. By conducting 18 semi-structured interviews with related experts and studying related literature, 19 sub-barriers were classified into 6 main categories (resources, behaviors, information, technology, organizational, and rules and regulations) and the relationships between them were analyzed. Finally, a model of green innovation barriers in the country's automobile industry has been presented, which has classified the barriers based on importance and impact criteria into 5 levels: "Isolation of the automobile industry from global trends", "Policy gap", "Complexity of laws" and " Deterrence system inefficiencies' have been identified as key barriers that have the greatest impact. Also, the analysis of influence-dependency diagram explained the relationships between obstacles.
Keywords
Subjects

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  • Receive Date 02 October 2024
  • Revise Date 10 November 2024
  • Accept Date 03 April 2024