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Designing a model for the successful application of reverse logistics strategy in the automotive parts manufacturing industry using a data-driven method
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Taraneh Raji Hamed1   , Sirous Fakhimi Azar *2 , Nasser Feghhi Farahmand1 , Morteza Mahmoudzadeh1 |
1- Department of Management, Ta.C., Islamic Azad University, Tabriz, Iran
2- Department of Management, Ta.C., Islamic Azad University, Tabriz, Iran , Fakhimiazar@iaut.ac.ir |
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Abstract: (26 Views) |
This research aims to identify reverse logistics as one of the key strategies in realizing a circular economy, playing a vital role in reducing costs, improving resource efficiency, and creating a sustainable competitive advantage. However, the successful establishment of this system in the Iranian automotive parts manufacturing industry faces several structural challenges. The present study aims to design a model for the successful application of the reverse logistics strategy in the automotive parts manufacturing industry. This research was conducted with a qualitative approach and using the grounded theory method (Strauss and Corbin approach). Data were collected through in-depth semi-structured interviews with 20 automotive parts industry experts who were selected using the snowball method. Data analysis was conducted in three stages: open, axial, and selective coding.To ensure validity and reliability, participant feedback, peer feedback, retesting (76% agreement), and double coding (69% agreement) methods were used. In the open coding stage, 75 initial codes were extracted, which were then categorized into 25 concepts and finally into 6 main categories in the form of a paradigm model, including: causal conditions (economic, legal, and environmental pressures), pivotal phenomenon (implementation and institutionalization of the circular economy through recovery and reproduction), context (inadequate infrastructure, high uncertainty and risk, internal resistance), intervening conditions (government support and incentives, stakeholder cooperation, financial barriers, and skills gap), strategies (organizational-managerial, operational-technical, and developmental strategies), and consequences (economic-competitive, organizational-technical, and macro-national).And the presented model shows that the successful implementation of reverse logistics requires a systematic and integrated approach in which causal, contextual, and intervening factors are simultaneously considered. Unlike previous studies that have only prioritized barriers, the present model explains the dynamic causal-disability relationships between factors and can serve as a roadmap for industry managers and policymakers to move towards a circular economy.
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Article number: 6 |
| Keywords: Reverse logistics, circular economy, automotive parts industry, data-driven theory, reproduction |
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Full-Text [PDF 441 kb]
(13 Downloads)
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Article type: Research |
Subject:
General
Received: 2026/05/19 | Accepted: 2026/08/25 | Published: 2026/11/11
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