- Abdullahi, I., Larijani, H., Liarokapis, D., Paterson, J., Jones, D., & Murray, S. (2025). A data-intelligence-driven digital twin framework for improving sustainability in logistics. Applied Sciences, 15(2), 601-616. [Google Scholar]
- Adeoye, Y. E. T. U. N. D. E., Onotole, E. F., Ogunyankinnu, T. U. N. D. E., Aipoh, G. O. D. W. I. N., Osunkanmibi, A. A., & Egbemhenghe, J. O. S. E. P. H. (2025). Artificial Intelligence in Logistics and Distribution: The function of AI in dynamic route planning for transportation including self-driving trucks and drone delivery systems. World Journal of Advanced Research and Reviews, 25(02), 155-167. [Google Scholar]
- Adesoga, T. O., Ajibaye, T. O., Nwafor, K. C., Imam-Lawal, U. T., Ikekwere, E. A., & Ekwunife, D. I. (2024). The rise of the" smart" supply chain: How AI and automation are revolutionizing logistics. International Journal of Science and Research Archive, 12(2), 790-798. [Google Scholar]
- Alamandi, M. (2025). Sustainable Innovation Management: Balancing Economic Growth and Environmental Responsibility. Sustainability, 17(10), 4362-4393. [Google Scholar]
- Alojail, M., & Khan, S. B. (2023). Impact of digital transformation toward sustainable development. Sustainability, 15(20), 14697-14717. [Google Scholar]
- Alquraish, M. (2025). Digital Transformation, Supply Chain Resilience, and Sustainability: A Comprehensive Review with Implications for Saudi Arabian Manufacturing. Sustainability, 17(10), 4495-4528. [Google Scholar]
- Anzivino, A., Cantù, C. L., & Sebastiani, R. (2025). Orchestration mechanisms in sustainability-oriented innovation: a meta-organization perspective. Journal of Business & Industrial Marketing, 40(1), 1-18. [Google Scholar]
- Bakioğlu, G. (2025). Prioritization of Digital Technology Applications in Intermodal Freight Transport using CRITIC-based Picture Fuzzy TOPSIS Method. International Journal of Automotive Science And Technology, 9(2), 230-240. [Google Scholar]
- Bibbò, L., Laganà, F., Bilotta, G., Meduri, G. M., Angiulli, G., & Cotroneo, F. (2025). AI-Enhanced Eco-Efficient UAV Design for Sustainable Urban Logistics: Integration of Embedded Intelligence and Renewable Energy Systems. Energies, 18(19), 5242-5292. [Google Scholar]
- Braun, V., & Clarke, V. (2021). To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health, 13(2), 201-216. [Google Scholar]
- Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2024). Artificial intelligence in supply chain and operations management: a multiple case study research. International journal of production research, 62(9), 3333-3360. [Google Scholar]
- Chai, L., Lai, K. H., & Zong, L. (2025). How digital transformation enhances supply chain transparency? Based on the perspective of information improvement and resource optimization. Transportation Research Part E: Logistics and Transportation Review, 201, 104256-104269. [Google Scholar]
- Chand, S. P. (2025). Methods of data collection in qualitative research: Interviews, focus groups, observations, and document analysis. Advances in Educational Research and Evaluation, 6(1), 303-317. [Google Scholar]
- Chen, W., Men, Y., Fuster, N., Osorio, C., & Juan, A. A. (2024). Artificial intelligence in logistics optimization with sustainable criteria: A review. Sustainability, 16(21), 9145-9167. [Google Scholar]
- Chomachaei, F. (2025). The Impact of Blockchain‐Based Technology on Airport Operational and Environmental Performance: Empirical Evidence From European Airports. Journal of Business Logistics, 46(4), e70029. [Google Scholar]
- Christou, P. A. (2022). How to use thematic analysis in qualitative research. Journal of Qualitative Research in Tourism, 3(2), 79-95. [Google Scholar]
- De Azinheira Reguenga, M. J., Lampridou, S., Pattison, N., Brett, S. J., & Soni, S. (2025). The use of audio-visual aids to reduce delirium after cardiac surgery in intensive care units (DaCSi-ICU): A feasibility study protocol. PLoS One, 20(4), e0320935. [Google Scholar]
- Di Nardo, M., Gallab, M., Murino, T., Wu, J., & Pandey, S. (2025). Integrating sustainability and industry 4.0: A framework for sustainable logistics 4.0. Circular Economy and Sustainability, 1-39. [Google Scholar]
- Eleimat, M., & Őszi, A. (2025). Cybersecurity in Aviation: Exploring the Significance, Applications, and Challenges of Cybersecurity in the Aviation Sector. Periodica Polytechnica Transportation Engineering, 53(2), 169-183. [Google Scholar]
- Fan, M., Tang, Y., Qalati, S. A., & Ibrahim, B. (2025). Can logistics enterprises improve their competitiveness through ESG in the context of digitalization? Evidence from China. The International Journal of Logistics Management, 36(1), 196-224. [Google Scholar]
- Fareed, A. G., De Felice, F., Forcina, A., & Petrillo, A. (2024). Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review. Sustainable Futures, 8, 100278-100294. [Google Scholar]
- Farfán Chilicaus, G. C., Licapa-Redolfo, G. S., Arbulú Ballesteros, M. A., Corrales Otazú, C. D., Apaza Miranda, S. J., Flores Castillo, M. M., ... & Arbulú Castillo, J. C. (2025). Digital Transformation and Sustainability in Post-Pandemic Supply Chains: A Global Bibliometric Analysis of Technological Evolution and Research Patterns (2020–2024). Sustainability, 17(7), 3009-3039. [Google Scholar]
- Fatorachian, H., Kazemi, H., & Pawar, K. (2025). Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions. Future Transportation, 5(2), 34-53. [Google Scholar]
- Gao, Y., Liu, S., & Yang, L. (2025). Artificial intelligence and innovation capability: A dynamic capabilities perspective. International Review of Economics & Finance, 98, 103923. [Google Scholar]
- Hong, Z., & Xiao, K. (2024). Digital economy structuring for sustainable development: the role of blockchain and artificial intelligence in improving supply chain and reducing negative environmental impacts. Scientific Reports, 14(1), 3912-3924. [Google Scholar]
- Hongsakul, B., & Chuaychoo, I. (2024). The influence of logistics activity on sustainable performance of air cargo business in Thailand. ABAC Journal, 44(4), 176-197. [Google Scholar]
- Hongsakul, B., Lalaeng, C., & Ingard, A. (2025). Digital transformation in the logistics industry: An evidence-based synthesis of logistics activity. TPM–Testing, Psychometrics, Methodology in Applied Psychology, 32(2-June), 1081-1097. [Google Scholar]
- Huy, P. Q., & Phuc, V. K. (2025). Unveiling how business process management capabilities foster dynamic decision-making for effectiveness of sustainable digital transformation. Business Process Management Journal, 31(8), 67-103. [Google Scholar]
- Jahangir, S., Xie, R., Iqbal, A., & Hussain, M. (2025). The influence of sustainable human resource management practices on logistics agility: the mediating role of artificial intelligence. Sustainability, 17(7), 3099-3124. [Google Scholar]
- Jayarathna, C. P., Agdas, D., & Dawes, L. (2024). Perceived relationship between green logistics practices and sustainability performance: a multi-methodology approach. The International Journal of Logistics Management, 35(5), 1522-1548. [Google Scholar]
- Jurgelāne-Kaldava, I., Effenberger, W. V., Batenko, A., & Čižiūnienė, K. (2025). Digitalization of Air Cargo Supply Chains: A Case Study of Latvia. Systems, 13(6), 468-483. [Google Scholar]
- Kang, X., & Chen, L. (2025). Quantifying the environmental benefits of green development: A carbon emission reduction analysis of air logistics in airport‐type national logistics hub cities. Environmental Progress & Sustainable Energy, 44(2), e14572. [Google Scholar]
- Khayyam, M., Yushi, J., Liu, Q., Idrees, H., Qin, S., & Nurlegul, A. (2025). Leveraging technological readiness and knowledge sources for green innovation: a resource orchestration perspective. Business Process Management Journal, 31(3), 848-877. [Google Scholar]
- Khmara, M. P. (2025). THE ımpact of artıfıcıal ıntellıgence applıcatıon on the optımızatıon of logıstıcs and warehouse management. Journal of Strategic Economic Research, (3), 97-109. [Google Scholar]
- Kowalski, M., Bernardes, R. C., Gomes, L., & Borini, F. M. (2025). Microfoundations of dynamic capabilities for digital transformation. European Journal of Innovation Management, 28(8), 3717-3746. [Google Scholar]
- Kulkov, I., Kulkova, J., Rohrbeck, R., Menvielle, L., Kaartemo, V., & Makkonen, H. (2024). Artificial intelligence‐driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals. Sustainable Development, 32(3), 2253-2267. [Google Scholar]
- Lei, Y., Liang, Z., & Ruan, P. (2023). Evaluation on the impact of digital transformation on the economic resilience of the energy industry in the context of artificial intelligence. Energy Reports, 9, 785-792. [Google Scholar]
- Li, J., & Wang, J. (2025). Digital twin-driven management strategies for logistics transportation systems. Scientific Reports, 15(1), 12186-12205. [Google Scholar]
- Lim, W. M. (2025). What is qualitative research? An overview and guidelines. Australasian Marketing Journal, 33(2), 199-229. [Google Scholar]
- Lin, K. Y. (2025). Generative artificial intelligence–driven sustainable supply chain management: a UNISONE framework for smart logistics and predictive analytics under Industry 5.0. International Journal of Logistics Research and Applications, 1-32. [Google Scholar]
- Macit, A. (2024). Sustainability and Operational Efficiency in Air Cargo: Insights from Turkish Cargo's Management Practices. Sosyal Mucit Academic Review, 5(Innovative Conceptual Approaches to Social Sciences), 81-105. [Google Scholar]
- Masuwai, A., Zulkifli, H., & Hamzah, M. I. (2025). Self-assessment of secondary school Islamic education teacher: validity and reliability of qualitative study. International Journal of Evaluation and Research in Education, 14(2), 961-974. [Google Scholar]
- Mohsen, B. M. (2024). Ai-driven optimization of urban logistics in smart cities: Integrating autonomous vehicles and iot for efficient delivery systems. Sustainability, 16(24), 11265-11287. [Google Scholar]
- Mutambik, I. (2024). Digital transformation as a driver of sustainability performance—a study from freight and logistics industry. Sustainability, 16(10), 4310-4328. [Google Scholar]
- Nweje, U., & Taiwo, M. (2025). Leveraging Artificial Intelligence for predictive supply chain management, focus on how AI-driven tools are revolutionizing demand forecasting and inventory optimization. International Journal of Science and Research Archive, 14(1), 230-250. [Google Scholar]
- Oncioiu, I., Mândricel, D. A., & Hojda, M. H. (2025). Artificial Intelligence-Enabled Digital Transformation in Circular Logistics: A Structural Equation Model of Organizational, Technological, and Environmental Drivers. Logistics, 9(3), 102-130. [Google Scholar]
- Parthasarathy, V. (2024). AI-Driven Carbon Footprint Tracking and Emission Reduction in Logistics Networks. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 5(2), 47-56. [Google Scholar]
- Pregoner, J. D. (2024). Research approaches in education: A comparison of quantitative, qualitative and mixed methods. IMCC Journal of Science, 4(2), 31-36. [Google Scholar]
- Rane, N. L., Chika, O. E., & Rane, J. (2026). Business intelligence systems integrating artificial intelligence, big data analytics, machine learning, internet of things, and blockchain. International Journal of Applied Resilience and Sustainability, 2(2), 367-395. [Google Scholar]
- Saqib, Z. A., & Qin, L. (2024). Investigating effects of digital innovations on sustainable operations of logistics: An empirical study. Sustainability, 16(13), 5518-5538. [Google Scholar]
- Soleymanzadeh, O., & Hajipour, B. (2025). A bibliometric analysis of resource orchestration research: current status, emerging trends and future research agenda. Management Research Review, 48(4), 643-664. [Google Scholar]
- Spanaki, K., Dennehy, D., Papadopoulos, T., & Dubey, R. (2025). Data-driven digital transformation in operations and supply chain management. International Journal of Production Economics, 284, 109599-109606. [Google Scholar]
- Stroumpoulis, A., & Kopanaki, E. (2025). Examining the Relationship Between Sustainable Strategies, Digital Transformation and Organizational Context: Evidence from 3PL Companies in Greece. Sustainability, 17(19), 8846-8872. [Google Scholar]
- Vural, S. (2025). Sustainability of Air Logistics: A Bibliometric Analysis. Journal of Aviation, 9(2), 311-320. [Google Scholar]
- Wandelt, S., & Zheng, C. (2024). Toward smart skies: Reviewing the state of the art and challenges for intelligent air transportation systems (IATS). IEEE Transactions on Intelligent Transportation Systems, 25(10), 12943-12953. [Google Scholar]
- Ye, Y., Min, X., Liu, X., Chen, X., Cao, K., Howlader, S. R. K., & Chen, X. (2025). Secure and Intelligent Low-Altitude Infrastructures: Synergistic Integration of IoT Networks, AI Decision-Making and Blockchain Trust Mechanisms. Sensors, 25(21), 6751-6802. [Google Scholar]
- Zhang, H., Li, Y., Zhang, S., Song, L., & Tao, F. (2025). Artificial Intelligence-Enhanced Digital Twin Systems Engineering Towards the Industrial Metaverse in the Era of Industry 5.0. Chinese Journal of Mechanical Engineering, 38(1), 40-62. [Google Scholar]
- Zhang, P., Fu, Y., & Lu, B. (2025). Analyzing the Coupling Coordination and Forecast Trends of Digital Transformation and Operational Efficiency in Logistics Enterprises. Journal of Theoretical and Applied Electronic Commerce Research, 20(3), 211-232. [Google Scholar]
- Zhang, Z., Zhang, L., Fu, D., & Li, W. (2025). An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. PloS one, 20(4), e0319973. [Google Scholar]
- Zheng, J., Zhang, J. Z., Kamal, M. M., & Mangla, S. K. (2025). A dual evolutionary perspective on the Co-evolution of data-driven digital transformation and value proposition in manufacturing SMEs. International Journal of Production Economics, 282, 109561. [Google Scholar]
- Ziakkas, D., Pechlivanis, K., & Plioutsias, A. (2025). Enhancing Aviation Risk Assessment through Artificial Intelligence: The Single Pilot Operations Case Study. Transportation Research Procedia, 88, 305-314. [Google Scholar]
|