Dergiler / Beykoz Akademi Dergisi / 2026 / Cilt: 12 Sayı: 1

LOJİSTİK FİRMALARINDA NESNELERİN İNTERNETİ ÜZERİNDE YAPILAN ÇALIŞMANIN BİLİMSEL HARİTALAMA YÖNTEMİ İLE ANALİZİ

ANALYSIS OF STUDY MADE ON THE INTERNET OF THINGS IN LOGISTICS COMPANIES WITH SCIENTIFIC MAPPING METHOD

Filiz Sivaslıoğlu(istanbul gelişim üniversitesi)0000-0002-8524-6928
Nurgül Erdal(isrtanbul üniversitesi-cerrahpaşa cerrahpaşa tıp fakültesi hastanesi)0000-0002-2961-3906
Sayfa
295–328
Yayın Tarihi
2024-06-26
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Anahtar Kelimeler: Nesnelerin İnterneti, Lojistik, Web of Science, VOSviewer, loT, Bibliyometri, Yönetim, İşletme Jel Classification Codes: M10, N70, 014

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Amaç & Hipotez:Bu araştırma, "Nesnelerin İnterneti" kavramını bibliyografik açıdan incelemeyi ve bu konuda yapılan çalışmaları değerlendirmeyi amaçlamaktadır.
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Temel Bulgular & Veri:Web of Science'ta 1998-2023 yılları arasında yayımlanan yayınlar bibliyografik analiz yöntemiyle analiz edilmiştir. 261 çalışma VOSviewer ile doküman, kaynak, yazar, kurum, ülke ve anahtar kelime parametrelerine göre analiz edildi.
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Sonuç & Katkı:Anahtar Kelimeler: Nesnelerin İnterneti, Lojistik, Web of Science, VOSviewer, loT, Bibliyometri, Yönetim, İşletme Jel Classification Codes: M10, N70, 014
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2023 Verileri
⚙️Değişkenler:nesnelerin interneti · lojistik · web of sciences

Özet

Bu araştırma, "Nesnelerin İnterneti" kavramını bibliyografik açıdan incelemeyi ve bu konuda yapılan çalışmaları değerlendirmeyi amaçlamaktadır. Web of Science'ta 1998-2023 yılları arasında yayımlanan yayınlar bibliyografik analiz yöntemiyle analiz edilmiştir. 261 çalışma VOSviewer ile doküman, kaynak, yazar, kurum, ülke ve anahtar kelime parametrelerine göre analiz edildi. Analiz sonunda en fazla bağlantı sayısına sahip dokümanlar; Lopes de Sousa Jabbour et. al. (2018) Wang (2022a) ve Qiu (2015). Toplam bağlantı gücü en yüksek olan dergi Ieee Access'tir (23)., En çok atıf alan 24 makale ve 865 atıf alan yazar Huang, George Q., En çok ortak atıf alan yazarlar Zhang, YF, (61); Zhong, RY (44) ve Qu T. (29). Hong Kong Üniversitesi 30 eser, 1053 alıntı aldı. IoT araştırmasında ülkeler arasındaki atıflara bakıldığında en çok Asya, Avrupa ve ABD kıtalarının atıf yapıldığı görülüyor. Nesnelerin İnterneti ile ilgili yayınlarda en sık kullanılan anahtar kelimelere bakıldığında 75 tekrarla “Nesnelerin İnterneti” olduğu görülüyor. Nesnelerin İnterneti lojistikte çok önemli ve bu konudaki bibliyometrik araştırmalar öğrencilere, akademisyenlere ve şirketlere ışık tutacaktır. Anahtar Kelimeler: Nesnelerin İnterneti, Lojistik, Web of Science, VOSviewer, loT, Bibliyometri, Yönetim, İşletme Jel Classification Codes: M10, N70, 014

Abstract

This research aims to examine the concept of the "Internet of Things" from a bibliographical point of view and to evaluate the studies on it. The publications published in Web of Science between 1998-2023 were analyzed by bibliographic analysis method. 261 studies were analyzed with VOSviewer according to the parameters of documents, sources, authors, institutions, countries, and keywords. At the end of the analysis, the documents with the highest number of links; are Lopes de Sousa Jabbour et. al. (2018)., Wang (2022a), and Qiu (2015). The journal with the highest total link strength is Ieee Access (23)., The most cited 24 articles and 865 cited authors Huang, George Q., The most co-cited authors Zhang, YF, (61); Zhong, RY (44) and Qu T. (29). Hong Kong University has received 30 works, 1053 citations. When we look at the citations among the countries in the IoT research, it is seen that the continents of Asia, Europe, and the USA are mostly cited. Looking at the most frequently used keywords in related publications on the Internet of Things, it is "Internet of Things" with 75 repetitions. The Internet of Things is very important in logistics and bibliometric research on this subject will shed light on students, academics, and companies. Keywords: Internet of Things, Logistics, Web of Science, VOSviewer, loT, Bibliometrics, Management, Business Jel Classification Codes: M10, N70, 014

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Bu Makaleye Atıf Yap

Sivaslıoğlu, F., Erdal, N. (2024). LOJİSTİK FİRMALARINDA NESNELERİN İNTERNETİ ÜZERİNDE YAPILAN ÇALIŞMANIN BİLİMSEL HARİTALAMA YÖNTEMİ İLE ANALİZİ. Beykoz Akademi Dergisi, Cilt: 12 Sayı: 1, 295–328. https://doi.org/10.14514/beykozad.1360651

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Kaynakça (85)

  1. Agostino, Í. R. S., Ristow, C., Frazzon, E. M., & Taboada Rodriguez, C. M. (2020). Perspectives on the application of ınternet of things in logistics. Paper presented at the Dynamics in Logistics, Cham. https://doi.org/10.1007/978-3-030-44783-0_37
  2. Anitha, K., Palaksha Reddy, K., Krishnamoorthy, N., & Jaiswal, S. (2021). IoT enables the supply chain visibility and connectivity and optimization of performance. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.12.343
  3. Atzori, L., Iera, A., & Morabito. G. (2010). The Internet of things: a survey, Comput. Netw. 54 (15) (2010) 2787–2805. Elsevier. https://doi.org/10.1016/j.comnet.2010.05.010
  4. Barrios, P., Danjou, C., & Eynard, B. (2022). Literature review and methodological framework for integration of IoT and PLM in the manufacturing industry, Computers in Industry, Vol. 140, 103688. https://doi.org/10.1016/j.compind.2022.103688
  5. Buntak, K., Kovačić, M., & Mutavdžija, M. (2019). Internet of Things and smart warehouses as the future of logistics. Tehnički glasnik, 13(3), 248-253. https://doi.org/10.31803/tg20190215200430
  6. Chen, Q., Li, M., Xu, G., & Huang, G.Q. (2023a). Cyber-physical spare parts intralogistics system for aviation MRO, Advanced Engineering Informatics, Vol. 56, 101919. https://doi.org/10.1016/j.aei.2023.101919
  7. Chen, Y., Wang, X., Liu, Z., Cui, J., Osmani, M., & Demian, P. (2023b). Exploring building information modeling (BIM) and Internet of things (IoT) integration for sustainable building, Buildings, Vol. 13 No. 2, 288. https://doi.org/10.3390/buildings13020288
  8. Chen, N., Sun, Y., Wang, Z., & Peng, C. (2022). Improved LS-SVM method for flight data fitting of civil aircraft flying at a high plateau, Electronics, Vol. 11 No. 10, 1558. https://doi.org/10.3390/electronics11101558
  9. Cuenca, RI., Tokars, R.L., Warnecke, V, C., Deschamps, F., & Valle, P. D. (2020). Systematic literature review on the use of the Internet of Things in industrial logistics. P:151-160. Proceedings of the 27th ISTE Internatıonal Conference on Transdisciplinary Engineering, July 1-July 10,2020.
  10. Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021). Discovering IoT implications in business and management: A computational thematic analysis. Technovation, 102236. https://doi.org/10.1016/j.technovation.2021.102236
  11. Dharfizi, A. D. H. (2018). The energy sector and the Internet of Things – sustainable consumption and enhanced security through industrial revolution 4.0, Journal of International Studies, Vol. 14, pp. 99-117. DOI: https://doi.org/10.32890/jis2018.14.7
  12. Dineshreddy, V., & Gangadharan, G. R. (2016). Towards an “Internet of Things” framework for the financial services sector, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, pp. 177-181. DOI: 10.1109/RAIT.2016.7507897
  13. 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
  14. Ehsanifar, M., Dekamini, F., Spulbar, C., Birau, R., Khazaei, M., & B_arb_acioru, I.C. (2023). A sustainable pattern of waste management and energy efficiency in smart homes using the internet of things (IoT), Sustainability, Vol. 15 No. 6, 5081. https://doi.org/10.3390/su15065081
  15. Elkhodr, M., Alsinglawi, B., & Alshehri, M. (2019). A privacy risk assessment for the Internet of Things in healthcare, Applications of Intelligent Technologies in Healthcare, Springer International Publishing, pp. 47-54. https://doi.org/10.1007/978-3-319- 96139-2_5
  16. Fizza, K., Banerjee, A., Mitra, K., Jayaraman, P., P. Ranjan., R. Patel, P., & Georgakopoulos, D. (2021). QoE in IoT: a vision, survey and future directions. Discover Internet of Things, 1, 4. https://doi.org/10.1007/s43926-021-00006-7
  17. Fortino, G., Savaglio C., & Spezzano, G. (2020). Internet of Things as system of systems: A review of methodologies, frameworks, platforms, and tools. IEEE Transactions on Systems, Man, and Cybernetics: Systems. Volume: 51, Issue: 1.
  18. Frederico G. F. (2019). Supply chain 4.0: concepts, maturity, and research agenda. Supply Chain Management An International Journal. 25(2):262-282. https://doi.org/10.1108/BPMJ-12-2016-0248
  19. Ganzha, M., Paprzycki, M., Pawlowski, W., Szmeja. P., & Wasielewska, K. (2018). Towards semantic ınteroperability between ınternet of things platforms. https://www.researchgate.net/publication/318510298
  20. Ghouchani, B.E., Jodaki, S., Joudaki, M., Balali, A., & Rajabion, L. (2020). A model for examining the role of the Internet of Things in the development of e-business, VINE Journal of Information and Knowledge Management Systems, Vol. 50 No. 1, pp. 20-33. https://doi.org/10.1108/VJIKMS-04-2019-0058
  21. Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2021). A review of logistics Internet-of-Things: Current trends and scope for future research. Journal of Industrial Information Integration, 22, 100194. https://doi.org/10.1016/j.jii.2020.100194
  22. Gubbi,J., Rao, S. A., Ngo, T., Mendis, P., & Palaniswami, M. (2016). Internet of Things for structural health monitoring. CRC Press Taylor &Francis Group Boca Raton London New York. P:89-121.
  23. Guo, H.-f., Xu, C.-y., Zhang, R., Shi, J.-c., Qu, T., Li, C.-d., Cai, Y.-g., Luo, X.-f. & He, Z.-h. (2020). Bibliometric analysis of Internet of Things based on CiteSpace, in Chien, (Eds), IE&EM, Springer, Singapore.
  24. Guo, D., Li, M., Lyu, Z., Kang, K., Wu, W., Zhong, R. Y., & Huang, G.Q. (2021). Synchroperation in industry 4.0 manufacturing. International Journal of Production Economics, 238, 108171. https://doi.org/10.1016/j.ijpe.2021.108171
  25. Harish, AR., Liu, X., Li, M., Zhong, RY., & Huang, G. Q. (2023). Blockchain-enabled digital assets tokenization for cyber-physical traceability in E-commerce logistics financing. Association for Computing Machinery. https://doi.org/10.1016/j.compind.2023.103956
  26. Hasan, W. K. A., Alraddad, A., Ashour, A., Ran, Y., Alkelsh, M. A., & Ajele, R. A. M. (2019). Design and implementation of smart transformer based on IoT. International Conference on Computing, Electronics & Communications Engineering, 16-21
  27. Hofmann, E. (2005). Supply chain finance: Some conceptual ınsights. Logistic Management, 203-214.
  28. Hopkins J., & Hawking. P. (2018). Big data analytics and IoT in logistics: a case study, Int. J. Logistics. Management. 29 (2). 575–591. https://doi.org/10.1108/IJLM-05-2017-0109
  29. Hossain, Md. S., Rahman, M., Sarker, Md. T., Haque, Md. E., & Jahid, A. (2019). A smart IoTbased system for monitoring and controlling the sub-station equipment. Internet of Things, 7, 100085. https://doi.org/10.1016/j.iot.2019.100085
  30. Ismail. R., Farhadi. M., & Fooladi M. (2012). Information and communication technology use and economic growth, Plos One Collecıon Psychology. https://doi.org/10.1371/journal.pone.0048903
  31. Ivankova, G. V., Mochalina, E. P., & Goncharova, N. L., (2020). Internet of Things (IoT) in logistics, IOP Conference Series: Materials Science and Engineering, Vol. 940, 012033 doi:10.1088/1757-899X/940/1/012033.
  32. Jagtap, S., Duong, L., Trollman, H., Bader, F., Garcia-Garcia, G., Skouteris, G., & Rahimifard, S. (2021). Chapter 5 - IoT technologies in the food supply chain. In C. M. Galanakis (Ed.), Food Technology Disruptions (ss. 175-211): Academic Press.
  33. Janakiraman, V. M. (2018). Explaining aviation safety incidents using deep temporal multiple instance learning, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 406-415. https://doi.org/10.1145/3219819.3219871
  34. Jiang, J., Liu, F. G., Liu, Y. H., Tang, Q., Wang, B., Zhong, G. X., & Wang, W. Z. (2022). A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams. Computer Communications. Volume: 194, Pp:250-257. https://doi.org/10.1016/j.comcom.2022.07.034
  35. Jiang, J., Liu, F., Wing W. Y. Ng., Tang, Q., Wang, W., & Pham, Q, V. (2022). Dynamic ıncremental ensemble fuzzy classifier for data streams in green Internet of Things. IEEE Transactıons On Green Communıcatıons And Networkıng, Vol. 6, No. 3. DOI: 10.1109/TGCN.2022.3151716
  36. Kai Lin., Chensi Li., Giancarlo, F., & Joel J.P.C Rodrigues. (2018). Vehicle Route Selection Based on Game Evolution in Social Internet of Vehicles. IEEE Internet Of Thıngs Journal, Vol. 5, No. 4. DOI: 10.1109/JIOT.2018.2844215
  37. Korchagin, A., Deniskina, A., & Fateeva, I. (2019). Lean and energy-efficient production based on Internet of things (IoT) in the aviation industry, E3S Web Conference, Vol. 110, 02124. https://doi.org/10.1051/e3sconf/201911002124
  38. Kong, X, T, R., Clyde Z. L., Zhe C., Fan X., Bing X., Xulu L., & Zhao, Y. (2021). A blockchainand IoT-based smart product-service system for the sustainability of prefabricated housing construction. Elsevıer, Journal of Cleaner Production. Volume 286, 125391. https://doi.org/10.1016/j.jclepro.2020.125391
  39. Kurnia, R., Mulyanti, B., & Widiaty, I. (2020). Internet of Things application in mechanical learning in automotive engineering, IOP Conference Series: Materials Science and Engineering, Vol. 830, 042098. doi:10.1088/1757-899X/830/4/042098
  40. Lee, H., Puranik, T.G., & Mavris, D.N. (2021). Deep spatio-temporal neural networks for risk prediction and decision support in aviation operations, Journal of Computing andInformation Science in Engineering, Vol. 21 No. 4, 042098. https://doi.org/10.1115/1.4049992
  41. Li, M. (2022). Operation twins: production-intralogistics synchronization in Industry 4.0. July 2022International Journal of Production Research. 61(7):1-19. https://doi.org/10.1080/00207543.2022.2098874
  42. Lim, M. K., Muhammad Shoaib,, Ming K. Lim., & Chao Wang. (2020). An integrated framework to prioritize blockchain-based supply chain success factors Industrial Management & Data Systems WWW.emerald.com/insight/0263-5577. doi/10.1108/IMDS-04-2020-0194/full/XXX/full/html
  43. Liu, Fagui.,Jiang, J., Wing. W.Y.N. g., Tang, Quan., Wang. W., & Pham. QV. (2022). Dynamic ıncremental ensemble fuzzy classifier for data streams in green Internet of Things. Ieee. Ieee Transactıons On Green Communıcatıons And Networkıng, Vol. 6, No. 3. DOI: 10.1109/TGCN.2022.3151716
  44. Lopes De Sousa Jabbour, A. B., Jabbour, C. J. C., Godınho Fılho, M., & Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals Of Operations Research.270:273–286 https://doi.org/10.1007/s10479-018-2772-8
  45. Lydekaityte, J., & Tambo, T. (2020). Smart packaging: definitions, models, and packaging as an intermediator between digital and physical product management. The International Review of Retail, Distribution and Consumer Research, 30(4), 377-410. https://doi.org/10.1080/09593969.2020.1724555
  46. Mehmood, I., Ullah, A., Muhammad, K., Deng, D., Meng, W., Al-Turjman, F. Sajjad, M., & Albuquerque, V.H.C. (2019). Efficient image recognition and retrieval on IoT-assisted energy-constrained platforms from big data repositories. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2019.2896151
  47. Memarzadeh, M., Matthews, B., Templin, T., Rohani, A.S. & Weckler, D. (2023). Semisupervised active learning for anomaly detection in aviation, Journal of Aerospace Information Systems, Vol. 20 No. 4, pp. 181-194. https://doi.org/10.2514/1.I011083
  48. Milic, D.C., Dujmenović, I., & Peko, M. (2023). An approach to the application of the ınternet of things in logistics. Tehnıckı Glasnık/Technıcal Journal. Volume,17, 1(2023), 134- 140. https://doi.org/10.31803/tg-20220609190233
  49. Möller D. P.F., & Vakilzadian, H. (2014). Ubiquitous networks: Power line communication and Internet of things in smart home environments. IEEE International Conference on Electro/Information Technology. DOI: 10.1109/EIT.2014.6871832
  50. Nath, D., Kallepalli, S., Rao, L. T., Dubey, S.K., Javed, A., & Goel, S. (2021). Microfluidic paper microbial fuel cell powered by Shewanella putrefaciens in IoT cloud framework, International Journal of Hydrogen Energy, Vol. 46 No. 4, pp. 3230-3239. https://doi.org/10.1016/j.ijhydene.2020.04.294
  51. Ning, H., Hu, S., He, W., Xu, Q., Liu, H., & W., C. (2012). NID-based internet of things and its application in airport aviation risk management, Chinese Journal of Electronics, Vol. 21 No. 2, pp. 209-214.
  52. Palco, V., Fulco, G., De Capua, C., Ruffa, F., & Lugar_a, M. (2022). IoT and IAQ monitoring systems for the healthiness of dwelling, in 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn), Cosenza, pp. 105-109. DOI: 10.1109/MetroLivEnv54405.2022.9826946
  53. Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360-degree comparison, IEEE Access, Vol. 6, pp. 3585-3593. DOI: 10.1109/ACCESS.2018.2793265
  54. Qiu, M., Lin, K., Wang, W., Bi, Y., & Hassan, M.M. (2015). Human localization is based on inertial sensors and fingerprints in the industrial of things. Computer Networks, In press. https://doi.org/10.1016/j.comnet.2015.11.012
  55. Qiuxia, H., & Yujie, H. (2022). The application of İnternet of Things data analysis in the development of ınternational trade. National Library of Medicine. PMID: 35769269. PMCID: PMC9236831. https://doi.org/10.1155/2022/5507951
  56. Qu, J., Wu, S., & Zhang, J. (2023). Flight delay propagation prediction based on deep learning, Mathematics, Vol. 11 No. 3, p. 494. https://doi.org/10.3390/math11030494
  57. Qu, T., Lei, S. P., Wang, Z. Z., Nie, D. X., Chen, X., & Huang, G. Q. (2016). IoT-based realtime production logisticssynchronization system under smart cloud manufacturing. The International Journal of Advanced Manufacturing Technology. 84 (1–4): 147–164. DOI 10.1007/s00170-015-7220-1
  58. Rey, A., Panetti, E., Maglio, R., & Ferretti, M. (2021). Determinants in adopting the Internet of Things in the transport and logistics industry. Journal of Business Research, 131, 584- 590. https://doi.org/10.1016/j.jbusres.2020.12.049
  59. Sergi, I., Montanaro, T., Benvenuto, F. L., & Patrono, L. (2021). A smart and secure logistics system based on ıot and cloud technologies. Sensors, 21(6), 2231. https://doi.org/10.3390/s21062231
  60. Shen, L. (2022). Just Trolley: Implementation of industrial IoT and digital twin-enabled spatialtemporal traceability and visibility for finished goods logistics. Advanced Engineering Informatics 52(5):101571. ELSEVIER. https://doi.org/10.1016/j.aei.2022.101571
  61. Singh, S. K., & Roy, S. (2020). Internet of Things (IoT) Based green logistics operations for sustainable development in the ındian context, Singapore. https://doi.org/10.1007/978- 981-15-2854-5_27
  62. Sinha, A., Kumar, P., Rana, N.P., Islam R., & Dwivedi Y. K. (2019). Impact of Internet of Things (IoT) in disaster management: a task-technology fit perspective. AnnOper Res, Vol: 283,pp:759–794.https://doi.org/10.1007/s10479-017-2658-1
  63. Shankar, A., & Sahana, B.C. (2023). Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna, SN Applied Sciences, Vol. 5 No. 5, p. 132. https://doi.org/10.1007/s42452-023-05350-7
  64. Sodhro, A, H., Pirbhulal, S., Luo, Z., & de Albuquerque, V, H, C. (2019). Towards an optimal resource-management for IoT based Green and sustainable smart cities, Journal of Cleaner Production, Vol.220, pp.1167-1179. https://doi.org/10.1016/j.jclepro.2019.01.188
  65. Song, Y., Yu, F. R., Zhou, L., Yang, X., & He, Z. (2021). Applications of the Internet of Things (IoT) in smart logistics: A Comprehensive Survey. IEEE Internet of Things Journal, 8(6), 4250-4274. DOI: 10.1109/JIOT.2020.3034385
  66. Taliaferro, A., Ernst, R., Ahmed, U., Harolikar, A., & Ray, S. (2019). Creating IoT ecosystems in transportation: Logistics companies are looking to connect IoT technologies to traditional systems. Retrieved from Toronto, Canada.
  67. Tang, G., Hung, E. P., Au-Yeung, H. K. C., & Yuen, S. (2020). Politically motivated internet addiction: Relationships among online information exposure, internet addiction, FOMO, psychological well-being, and radicalism in massive political turbulence. International Journal of Environmental Research and Public Health, 17(2), 633. doi:10.3390/ijerph17020633
  68. Tao, F., & M. Zhang. (2017). Digital twin shopfloor: A newshopfloor paradigm towards smart manufacturing. Pieces. 5: 20418–20427. DOI: 10.1109/ACCESS.2017.2756069
  69. Trachtman. J. P. (2019). The Internet of Things cybersecurity challenge to Trade and Investment: trust and verify? SSRN: 3374542. https://dx.doi.org/10.2139/ssrn.3374542
  70. Turak Y. (2015). Nesnelerin interneti ve güvenliği. Bilişim Teknolojisi Hukuku Enstitüsü, Bilişim Hukuku Anabilim Dalı, İstanbul Bilgi Üniversitesi.
  71. Van Geest, M., Tekinerdogan, B., & Catal, C. (2021). Design of a reference architecture for developing smart warehouses in Industry 4.0. Computers in Industry. 124, 103343. https://doi.org/10.1016/j.compind.2020.103343
  72. Verdouw, C. N., Robbemond, R. M., Verwaart, T., Wolfert, J., & Beulens, A. J. M. (2018). A reference architecture for IoT-based logistic information systems in agri-food supply chains. Enterprise Information Systems, 12(7), 755-779. https://doi.org/10.1080/17517575.2015.1072643
  73. Wang, C., Lim, M. K., Zhao, L., Tseng, M.-L., Chien, C.-F., & LEV, B.J.O. (2020). The evolution of omega-the International Journal of Management Science over the past 40 years, A Bibliometric, Overview, Omega, Vol. 93, p. 102098. https://doi.org/10.1016/j.omega.2019.08.005
  74. Wang, Y. (2022). Optimal design of ınternational trade logistics based on Internet of Things Technology. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/8781095
  75. Wang, J., Lim, M. K., Wang, C., & Tseng, M.-L. (2021). The evolution of the Internet of Things (IoT) over the past 20 years. Computers & Industrial Engineering. 155, 107174. https://doi.org/10.1016/j.cie.2021.107174
  76. Wang, Q., & Mu, Z. (2022). Risk monitoring model of intelligent agriculture Internet of Things based on big data, Sustainable Energy Technologies, and Assessments. Vol. 53, 102654. https://doi.org/10.1016/j.seta.2022.10265
  77. Wu, W., Shen, L. D., Zhao, Z. H., Li, M., & Huang, G. Q. (2022). Industrial IoT and long short-term memory network-enabled genetic ındoor-tracking for factory logistics. Ieee Transactions On Industrial Informatics. Volume: 18, Issue: 11. Pp:7537-7548. DOI: 10.1109/TII.2022.3146598
  78. Xie, Y., Pongsakornsathien, N., Gardi, A., & Sabatini, R. (2021). Explanation of machinelearning solutions in air-traffic management, Aerospace. Vol. 8 No. 8, p. 224. https://doi.org/10.3390/aerospace8080224
  79. Yao, Y., Zhang, H., Lin, L., Lin, G., Shibasaki, R., Song, X., & Yu, K. (2022). Internet of Things positioning technology based intelligent delivery system, IEEE Transactions on Intelligent Transportation Systems, Vol. ahead-of-print No. ahead-of-print, pp. 1-15, doi: 10.1109/TITS.2022. 3155638.
  80. Yu, W. (2019). Research on optimization of logistics management information system based on Internet of Things. Paper presented at the 2019 5th International Conference on Education Technology, Management and Humanities Science. DOI: 10.25236/etmhs.2019.371
  81. Zhang, Y., Guo, Z., Lv, J., & Liu, Y. (2018). A framework for smart production-logistics systems based on CPS and Industrial IoT. IEEE Transactions on Industrial Informatics.14 (9): 4019–4032. DOI: 10.1109/TII.2018.2845683
  82. Zhang, G., Shang, X., Alawneh, F., Yang, Y., & Nishi, T. (2021). Integrated production planning and warehouse storage assignment problem: An IoT assisted case. International Journal of Production Economics. 234, 108058. https://doi.org/10.1016/j.ijpe.2021.108058
  83. Zhao, L., Brandao Machado, Matsuo, I., Zhou, Y., & Lee, W. J. (2019). Design of an ındustrial ıot-based monitoring system for power substations. IEEE Transactions on Industry Applications. 55(6), 5666-5674. DOI: 10.1109/TIA.2019.2940668
  84. Zhao, Z., Wei W., Leidi S., Zhiheng Z., Ming Li., & Huang, G. Q. (2022). Industrial IoT and long short-term memory network enabled genetic ındoor tracking for factory logistics. IEEE, Transactıons On Industrıal Informatıcs. Vol. 18, No. 11. DOI: 10.1109/TII.2022.3146598
  85. Zhong, R. Y., Xu, C. C., & Huang, G. Q. (2017). Big data analytics for physical ınternet-based ıntelligent manufacturing shopfloors. İnternational Journal of Production Research. 55 (9): 2610–2621. https://doi.org/10.1080/00207543.2015.1086037 www.statista.com, Number of Internet of Things (IoT) connected devices worldwide from 2019 to 2030, https://www.statista.com/statistics/1183457/iot-connected-devicesworldwide/, (Erişim Tarihi: 27.07.2023).