Abstract
In today’s life, with the rapid improvement of the electronic industry, and the ever-increasing use of mobile phones, the tremendous amount of end-of-life (EOL) mobile phones around the world needs a sustainable management system to decide on mobile phone waste. In this regard, manufacturers around the world need to plan for better management of products at the EOL phase. Therefore, this paper introduces a novel framework for the iPhone mobile phone waste in the EOL phase that its purpose is determining the EOL option to reduce mobile phone waste. The proposed framework uses the Twitter database as a rich data source to extract mobile phone defects from customer opinions using a data mining technique. Finally, a multi-objective mathematical framework is developed to make efficient EOL decisions based on mobile phone defects obtained from Twitter data. The findings of this study can help mobile phone manufacturers investigate mobile phone defects by using customer opinions on social media platforms. Therefore, they design appropriate strategic programs to decide on appropriate EOL processes for returned products. This study sheds new light on the importance of social media data in solving waste management problems by demonstrating the impact of customer opinions.
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Ghanadpour, S.H., Shokouhyar, S. & Pourabbasi, M. Effective end‑of‑life (EOL) products management in mobile phone industry with using Twitter data analysis perspective. Environ Dev Sustain 25, 11337–11366 (2023). https://doi.org/10.1007/s10668-022-02529-7
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DOI: https://doi.org/10.1007/s10668-022-02529-7