eprintid: 17861 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/01/78/61 datestamp: 2025-10-23 14:31:45 lastmod: 2025-10-27 15:13:22 status_changed: 2025-10-23 14:31:45 type: article metadata_visibility: show creators_name: Khan, Muhammad creators_name: Amin, Farhan creators_name: Din, Minhaj Ud creators_name: Abid, Muhammad Ali creators_name: de la Torre, Isabel creators_name: Caro Montero, Elisabeth creators_name: Delgado Noya, Irene creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: elizabeth.caro@uneatlantico.es creators_id: irene.delgado@uneatlantico.es title: Enhancing e-commerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica full_text_status: public keywords: E-commerce · Logistics · Supply chain · Quantum computing · Logistics optimization; AI-quantum hybrid models abstract: This study examines how quantum computing, quantum algorithms, and AI-quantum hybrid models enhance logistics efficiency and sustainability in e-commerce. Logistics optimization is analyzed to improve routing, scheduling, and resource allocation. The mixed-method design combines a cross-sectional survey of professionals with semi-structured interviews. Quantitative data were analyzed using structural equation modeling in SmartPLS, and qualitative data were thematically assessed. A perception-based analysis examined how professionals perceive quantum-based logistic models compared to traditional AI-driven approaches. Professionals believe that these models can enhance logistics optimization, increasing efficiency and sustainability. Respondents perceived that quantum models could outperform AI-driven approaches, particularly in routing and freight scheduling, but highlighted high implementation costs, limited expertise, and cross-industry collaboration. Logistic optimization mediates the relationship between quantum technology and performance outcomes. This study provides empirical evidence on industry perceptions and strategic guidance for firms considering quantum logistics. Quantum-enabled logistics enhance operational performance and support global sustainability goals. The findings underscore the opportunities and challenges of quantum logistics, offering guidance for research and adoption strategies. date: 2025-10 publication: The Journal of Supercomputing volume: 81 number: 15 id_number: doi:10.1007/s11227-025-07959-4 refereed: TRUE issn: 1573-0484 official_url: http://doi.org/10.1007/s11227-025-07959-4 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Artículos y libros Abierto Inglés This study examines how quantum computing, quantum algorithms, and AI-quantum hybrid models enhance logistics efficiency and sustainability in e-commerce. Logistics optimization is analyzed to improve routing, scheduling, and resource allocation. The mixed-method design combines a cross-sectional survey of professionals with semi-structured interviews. Quantitative data were analyzed using structural equation modeling in SmartPLS, and qualitative data were thematically assessed. A perception-based analysis examined how professionals perceive quantum-based logistic models compared to traditional AI-driven approaches. Professionals believe that these models can enhance logistics optimization, increasing efficiency and sustainability. Respondents perceived that quantum models could outperform AI-driven approaches, particularly in routing and freight scheduling, but highlighted high implementation costs, limited expertise, and cross-industry collaboration. Logistic optimization mediates the relationship between quantum technology and performance outcomes. This study provides empirical evidence on industry perceptions and strategic guidance for firms considering quantum logistics. Quantum-enabled logistics enhance operational performance and support global sustainability goals. The findings underscore the opportunities and challenges of quantum logistics, offering guidance for research and adoption strategies. metadata Khan, Muhammad; Amin, Farhan; Din, Minhaj Ud; Abid, Muhammad Ali; de la Torre, Isabel; Caro Montero, Elisabeth y Delgado Noya, Irene mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, elizabeth.caro@uneatlantico.es, irene.delgado@uneatlantico.es (2025) Enhancing e-commerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models. The Journal of Supercomputing, 81 (15). ISSN 1573-0484 document_url: http://repositorio.uneatlantico.es/id/eprint/17861/1/s11227-025-07959-4.pdf