Journal of Intelligent Strategic Management

Journal of Intelligent Strategic Management

Presenting a model for the non-exclusive development of the connected car ecosystem in the market to determine roles and responsibilities in the Internet of Things

Document Type : Original Article

Authors
Sima Salehi 1
Ladan Riazi 2
Ebrahim Nazari Farrokhi 3
1 Department of Information Technology Management, SR.C., Islamic Azad University, Tehran, Iran .
2 Department of Information Technology Management, SR.C., Islamic Azad University, Tehran, Iran.
3 Department of Knowledge Management, Faculty of Social Sciences, AJA Command and Staff University , Tehran, Iran.
bumara.3.2.11235564.358.32119
Abstract
The main challenge of this research is the lack of a systematic model for the convergence of Industry 4.0 technologies in the connected car ecosystem in Iran; a gap that leads to the dispersion of investments, the overlap of roles, and the slow transition of the industry from traditional production lines to a data-driven value chain. The aim of the research is to design and explain a non-exclusive model for the development of the connected car ecosystem and determine the logic of influence and dependence between its key components in order to chart the path to achieving sustainable development. To achieve this goal, first, in a qualitative exploratory phase, by analyzing the content of semi-structured interviews with senior managers of Iran Khodro, sixty indicators were extracted and integrated into ten macro-structures; Then, using structural-interpretive modeling, causal relationships between constructs were stratified, and in the quantitative phase, data from 300 experts were validated through partial least squares structural equations. The results showed that “big data analytics” is the most fundamental driver of change and activates simulation and intelligent robotics from the top of the pyramid of influence; these two strengthen horizontal-vertical integration and feed cloud computing infrastructure and additive manufacturing through the Industrial Internet of Things, augmented reality and cybersecurity; ultimately, this chain leads to “sustainable development”. MICMAC analysis also placed data-driven components (BDI, SIM, IAR, HVSI) in an independent cluster with high influence and environmental and economic components (SD, AM, CC) in a dependent cluster. Accordingly, it is recommended that policymakers focus priority investments on big data and virtual simulation platforms, while strengthening data governance and cybersecurity with open standards to accelerate the transition to an open and sustainable ecosystem of connected cars.
Keywords
Non-Proprietary Development
Automotive Ecosystem
Internet of Things

Subjects

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Journal of Intelligent Strategic Management
Volume 3, Issue 4 - Serial Number 8
Winter 2025
Pages 213-240