Fleet management systems have shifted from reactive to proactive with the support of digitalization and sustainability. Now the industry is shaped by digital technologies, sustainability, and compliance goals of the organizations. There are many digital fleet solutions in the market in the last years. Technologies such as telematics, GPS tracking, artificial intelligence, machine learning, and IoT are adopted increasingly, which have impact on ESG as well in the companies. The study provides mixed approach by considering both literature review and analyzing of the database consist of 142 digital fleet management solutions. It is also supported with deep dive of 18 representative cases. 18 solutions were evaluated to understand how they contribute to environmental efficiency, social well-being, and governance transparency. This thesis then introduced ESG Contribution vs. Technology Complexity framework to define how technologies have impact on ESG and how complex they are. It categorizes technologies into Quick Wins, Transformational Technologies, Needs Development, and Low-Priority tools. This framework offers a strategic guidance to understand which technologies are easy to implement and have high impact on ESG or the opposite. So, it contributes to the gap between digital technologies and ESG performance. Fleet managers can identify the opportunities with this framework. Future research should extend the framework by adding new technologies such as digital twin, blockchain, and autonomous fleets.
I sistemi di gestione della flotta sono passati da reattivi a proattivi, con il supporto della digitalizzazione e della sostenibilità. Ora il settore è plasmato dalle tecnologie digitali, dalla sostenibilità e dagli obiettivi di conformità delle organizzazioni. Negli ultimi anni, sono state lanciate sul mercato numerose soluzioni digitali per la gestione della flotta. Tecnologie come la telematica, il tracciamento GPS, l’intelligenza artificiale, il machine learning e l’IoT sono sempre più diffuse, con un impatto anche sui fattori ESG nelle aziende. Lo studio offre un approccio misto, considerando sia la revisione della letteratura sia l’analisi del database composto da 142 soluzioni di gestione della flotta digitale. È inoltre supportato da un’analisi approfondita di 18 casi rappresentativi. Sono state valutate 18 soluzioni per comprendere il loro contributo all’efficienza ambientale, al benessere sociale e alla trasparenza della governance. Questa tesi ha poi introdotto il framework "Contributo ESG vs. Complessità Tecnologica" per definire l’impatto delle tecnologie sui fattori ESG e il loro livello di complessità. Classifica le tecnologie in "Quick Wins", "Transformational Technologies", "Needs Development" e "Low-Priority Tools". Questo framework offre una guida strategica per comprendere quali tecnologie siano facili da implementare e abbiano un impatto elevato sui fattori ESG o viceversa. Contribuisce quindi a colmare il divario tra tecnologie digitali e performance ESG. I gestori di flotte possono identificare le opportunità offerte da questo framework. La ricerca futura dovrebbe ampliare il framework aggiungendo nuove tecnologie come il gemello digitale, la blockchain e le flotte autonome.
Digital transformation in fleet management: evaluating ESG contributions of digital technologies
KANCAGI, ECEM
2024/2025
Abstract
Fleet management systems have shifted from reactive to proactive with the support of digitalization and sustainability. Now the industry is shaped by digital technologies, sustainability, and compliance goals of the organizations. There are many digital fleet solutions in the market in the last years. Technologies such as telematics, GPS tracking, artificial intelligence, machine learning, and IoT are adopted increasingly, which have impact on ESG as well in the companies. The study provides mixed approach by considering both literature review and analyzing of the database consist of 142 digital fleet management solutions. It is also supported with deep dive of 18 representative cases. 18 solutions were evaluated to understand how they contribute to environmental efficiency, social well-being, and governance transparency. This thesis then introduced ESG Contribution vs. Technology Complexity framework to define how technologies have impact on ESG and how complex they are. It categorizes technologies into Quick Wins, Transformational Technologies, Needs Development, and Low-Priority tools. This framework offers a strategic guidance to understand which technologies are easy to implement and have high impact on ESG or the opposite. So, it contributes to the gap between digital technologies and ESG performance. Fleet managers can identify the opportunities with this framework. Future research should extend the framework by adding new technologies such as digital twin, blockchain, and autonomous fleets.| File | Dimensione | Formato | |
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2025_10_Kancagi.pdf
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https://hdl.handle.net/10589/243163