Araştırma Makalesi
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Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu

Yıl 2025, Cilt: 10 Sayı: 1, 131 - 151, 06.05.2025
https://doi.org/10.26650/JTL.2025.1581476

Öz

21. yüzyıl dijital dönüşümün ve teknolojik yeniliklerin toplumsal ve ekonomik alanlarda hızlı bir şekilde yaygınlaştığı bir dönemdir. Bu dönemde lojistik sektörü de büyük veri, yapay zekâ ve otomasyon gibi akıllı lojistik teknolojilerinin etkisiyle dönüşüm geçirmektedir. Bu teknolojiler, lojistik süreçlerin verimliliğini, hızını ve güvenliğini artırarak rekabet avantajı sağlamaktadır. Ancak, bu dönüşüm sadece teknolojik bir ilerleme değil, aynı zamanda insan kaynağının rolünü de yeniden tanımlayan bir süreçtir. Çalışanların bu yeni teknolojilere adaptasyonu, teknolojiyi kabul etmeleri ve yeni yetkinlikler kazanmaları, lojistik sektörünün başarılı bir şekilde dijitalleşmesi için kritik öneme sahiptir. Bu bağlamda gerçekleştirilen çalışma, Türkiye’de lojistik sektöründe görev yapan çalışanların akıllı lojistik teknolojilerine karşı tutumlarını, teknoloji kabul modeli çerçevesinde incelemeyi amaçlamaktadır. TKM, bireylerin bir teknolojiyi kabul etme veya reddetme eğilimlerini analiz etmekte yaygın olarak kullanılan bir modeldir. Araştırma, Türkiye genelinde lojistik alanında faaliyet gösteren işletmelerde çalışan 413 kişiye uygulanan anket verilerine dayanmaktadır. Elde edilen bulgular, akıllı lojistik teknolojilerinin algılanan faydası ve kullanım kolaylığının, çalışanların bu teknolojilere yönelik tutumları ve kullanım niyetleri üzerinde belirgin bir etkiye sahip olduğunu göstermektedir. Çalışma, lojistik sektöründe stratejik planlamalar yaparken ve insan kaynakları politikaları geliştirirken dikkate alınması gereken değerli içgörüler sunmakta olup, Türkiye lojistik sektöründe dijital dönüşüm sürecine katkıda bulunmaktadır.

Kaynakça

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Attitudes of Employees in the Turkish Logistics Sector Toward Smart Logistics Technologies

Yıl 2025, Cilt: 10 Sayı: 1, 131 - 151, 06.05.2025
https://doi.org/10.26650/JTL.2025.1581476

Öz

The 21st century is an era in which digital transformation and technological innovations are rapidly spreading across social and economic domains. In this context, the logistics sector is undergoing significant change driven by smart logistics technologies such as big data, artificial intelligence, and automation. These technologies enhance the efficiency, speed, and security of logistics processes, offering a competitive edge. However, this transformation also redefines the role of human resources. The successful digitalization of the logistics sector depends on employees’ adaptation, acceptance of new technologies, and development of relevant skills. This study examines the attitudes of logistics employees in Turkey towards smart logistics technologies using the Technology Acceptance Model (TAM), which is widely used to analyze individuals’ tendencies to accept or reject a technology. The research is based on survey data collected from 413 employees working in logistics companies across Turkey. The findings reveal that perceived usefulness and ease of use of smart logistics technologies significantly affect employees’ attitudes and their intentions to adopt these technologies. The study provides valuable insights for strategic planning and the development of human resources policies, contributing to the digital transformation of Turkey’s logistics industry.

Kaynakça

  • Aggorowati, M. A., Suhartono, N. I., & Gautama, H. (2012). Restructuring and expanding technology acceptance model: Structural equation model and Bayesian approach. American Journal of Applied Sciences, 9(4), 496-504. https://doi.org/10.3844/ajassp.2012.496.504 google scholar
  • Akman, I., & Mishra, A. (2015). Sectoral differences in green information technology practices: A study of Turkey. Journal of Cleaner Production, 108, 197-208. https://doi.org/10.1016/j.jclepro.2015.06.017 google scholar
  • Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27-50. https://doi.org/10.1016/j.aci.2014.09.001 google scholar
  • Alexa, L., Pîslaru, M., & Avasilcâi, S. (2022). From Industry 4.0 to Industry 5.0—An overview of European Union Enterprises. İn Sustainability and Innovation in Manufacturing Enterprises (pp. 221-231). Springer Nature: Cham, Switzerland. google scholar
  • Ali, I., & Phan, H. M. (2022). Industry 4.0 technologies and sustainable warehousing: A systematic literature review and future research agenda. International Journal of Logistics Management, 33(2), 644-662. https://doi.org/10.1108/IJLM-05-2021-0277 google scholar
  • Alnıpak, S., & Toraman, Y. (2023). Acceptance of e-vehicles for last-mile parcel delivery from the perspective of drivers: A study in Turkey. LogForum, 19(3), 443-459. https://doi.org/10.17270/J.LOG.2023.863 google scholar
  • Atzori, L., lera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805. https://doi.org/10.1016/ j.comnet.2010.05.010 google scholar
  • Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators & Virtual Environments, 6(4), 355-385. https://doi.org/10.1162/ pres.1997.6.4.355 google scholar
  • Ballou, R. H. (2007). The evolution and future of logistics and supply chain management. European Business Review, 19(4), 332-348. https://doi.org/10.1108/09555340710760152 google scholar
  • Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252. https://doi.org/10.1016/j.promfg.2017.09.045 google scholar
  • Bhasin, H. (2021, January 6). 6 logistics activities or 6 functions of logistics in an organization. Marketing91. https://www.marketing91. com/logistics-activities/ adresinden 10.03.2024 tarihinde erişilmiştir. google scholar
  • Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. https://doi.org/l0.1016/S0167-9236(0l)00111-7 google scholar
  • Cai, L., Yuen, K. F., Xie, D., Fang, M., & Wang, X. (2021). Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology. Technology in Society, 67, 101789. https://doi.org/10.1016/j.techsoc.2021.101789 google scholar
  • Callaghan, C. W. (2019). Transcending the threshold limitation: A fifth industrial revolution? Management Research Review, 43(4), 447461. https://doi.org/l0.1108/MRR-03-2019-0102 google scholar
  • Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smartphone use: A case study of a delivery service company in logistics. Information & Management, 46(4), 241-248. https://doi.org/10.1016/j.im.2009.03.001 google scholar
  • Chen, X., Wu, L., Pan, Y., Siu, K. W. M., Gong, X., & Zhu, D. (2018). Consumer acceptance of an agricultural products traceability system: Evidence from China. İn Proceedings of the 2018 Annual Meeting, August 5-7, Washington, DC: Agricultural and Applied Economics Association. google scholar
  • Chiu, C. M., Lin, H. Y., Sun, S. Y., & Hsu, M. H. (2009). Understanding customers' loyalty intentions towards online shopping: An integration of Technology acceptance model and fairness theory. Behaviour & Information Technology, 28(4), 347-360. https://doi.org/10. 1080/01449290801892492 google scholar
  • Christopher, M. (2016). Logistics & Supply Chain Management. Pearson UK, London. google scholar
  • Compeau, D., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MİS Quarterly, 19, 189-211. https:// doi.org/10.2307/249688 google scholar
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Çok değişkenli istatistik SPSS ve LISREL uygulamaları (1. baskı). Ankara: Pegem Akademi. google scholar
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008 google scholar
  • Ding, Y., Jin, M., Li, S., & Feng, D. (2021). Smart logistics based on the Internet of Things technology: An overview. International Journal of Logistics Research and Applications, 24(4), 323-345. https://doi.org/10.1080/13675567.2020.1757053 google scholar
  • Do, H.-N., Shih, W., & Ha, Q.-A. (2020). Effects of mobile augmented reality apps on impulse buying behavior: An investigation in the tourism field. Heliyon, 6, e04667. https://doi.org/10.1016/j.heliyon.2020.e04667 google scholar
  • Fishbein, M., & Ajzen, I. (1975). Bellef attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley. google scholar
  • Floreano, D., & Wood, R. J. (2015). Science, Technology and the future of small autonomous drones. Nature, 521(7553), 460-466. https:// doi.org/10.1038/nature14542 google scholar
  • Frederico, G. F. (2021). From supply chain 4.0 to supply chain 5.0: Findings from a systematic literature review and research directions. Logistics, 5, 49. https://doi.org/10.3390/logistics5030049 google scholar
  • Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.Org/l0.1016/j.ijinfomgt.2014.10.007 google scholar
  • Gündüz, Y., & Coşkun, Z. S. (2012). Öğrenci algısına göre öğretmen etik değerler ölçeğinin geliştirilmesi: Geçerlik ve güvenirlik çalışması. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 13(i), 111-131. google scholar
  • Haddad, O. (2024). Depo çalışanlarının Lojistik 4.0 teknolojilerini Teknoloji Kabul Modeli ile benimseme düzeylerinin belirlenmesi ve iş tatminine etkisi (Yayınlanmamış Yüksek Lisans Tezi), Necmettin Erbakan Üniversitesi, Sosyal Bilimler Enstitüsü, Konya. google scholar
  • Hang, W. S., & Selamat, A. S. (2023). Smart logistic adoption towards logistic performance. Journal of Technology Management and Technopreneurship (JTMT), 11 (i), 44-51. google scholar
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Toplam 67 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Lojistik
Bölüm Araştırma Makalesi
Yazarlar

Emine Genç 0000-0003-1178-6929

Mahinur Çakan 0009-0002-1508-5388

Gönderilme Tarihi 8 Kasım 2024
Kabul Tarihi 21 Şubat 2025
Yayımlanma Tarihi 6 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 1

Kaynak Göster

APA Genç, E., & Çakan, M. (2025). Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu. Journal of Transportation and Logistics, 10(1), 131-151. https://doi.org/10.26650/JTL.2025.1581476
AMA Genç E, Çakan M. Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu. JTL. Mayıs 2025;10(1):131-151. doi:10.26650/JTL.2025.1581476
Chicago Genç, Emine, ve Mahinur Çakan. “Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu”. Journal of Transportation and Logistics 10, sy. 1 (Mayıs 2025): 131-51. https://doi.org/10.26650/JTL.2025.1581476.
EndNote Genç E, Çakan M (01 Mayıs 2025) Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu. Journal of Transportation and Logistics 10 1 131–151.
IEEE E. Genç ve M. Çakan, “Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu”, JTL, c. 10, sy. 1, ss. 131–151, 2025, doi: 10.26650/JTL.2025.1581476.
ISNAD Genç, Emine - Çakan, Mahinur. “Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu”. Journal of Transportation and Logistics 10/1 (Mayıs2025), 131-151. https://doi.org/10.26650/JTL.2025.1581476.
JAMA Genç E, Çakan M. Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu. JTL. 2025;10:131–151.
MLA Genç, Emine ve Mahinur Çakan. “Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu”. Journal of Transportation and Logistics, c. 10, sy. 1, 2025, ss. 131-5, doi:10.26650/JTL.2025.1581476.
Vancouver Genç E, Çakan M. Türkiye’de Lojistik Sektörü Çalışanlarının Akıllı Lojistik Teknolojilerine Karşı Tutumu. JTL. 2025;10(1):131-5.