Journals / Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2026 / Cilt: 34 Sayı: Uygarlığın Dönüşümü: Yapay Zekâ Özel Sayı

INTERNET of BEHAVIORS (IoB)

DAVRANIŞLARIN İNTERNETİ (IOB)

Betül Aktaş(ÇAĞ ÜNİVERSİTESİ)0000-0002-7837-6716
Emin Sertaç Arı(OSMANİYE KORKUT ATA ÜNİVERSİTESİ)0000-0003-4453-5528
Pages
232–246
Publication Date
2025-07-20
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is also anticipated that this research will serve as both a practical and academic guide, being the first national research article on IoB, and will contribute to future studies on this emerging topic.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the competitive environment that has increased with the development of technology, it has become increasingly difficult to attract people's attention, and companies have focused on understanding people's behavior in order to offer new and remarkable goods and services.
📊
Key Findings & Data:Offering tailored options to the user has increased the demand for personalized goods and services, making it necessary to leverage the power of the Internet of Behavior (IoB), a new technology that aims to gain valuable information about the users’ online behaviors and intentions.
💡
Conclusion & Impact:It is also anticipated that this research will serve as both a practical and academic guide, being the first national research article on IoB, and will contribute to future studies on this emerging topic.
🔬Design:Derleme
📍Scope:Comprehensive Sample
⚙️Variables:Davranışların İnterneti (IoB) · Davranışsal Veri · Veri Analitiği

Abstract

In the competitive environment that has increased with the development of technology, it has become increasingly difficult to attract people's attention, and companies have focused on understanding people's behavior in order to offer new and remarkable goods and services. Offering tailored options to the user has increased the demand for personalized goods and services, making it necessary to leverage the power of the Internet of Behavior (IoB), a new technology that aims to gain valuable information about the users’ online behaviors and intentions. IoB technology is a research topic that examines how users interact with products and services online using appropriate data analysis techniques to gain insights from this data. With this technology, companies will be able to predict patterns in users' behavioral data and maximize user satisfaction with personalized goods and services that focus on manipulating user behavior with these patterns. With the continued development of the Internet of Things (IoT) and the increasing use of devices, a large amount of behavioral data continues to be collected. There is a large gap in conceptual, theoretical and empirical research fields on IoB research, which emerged as an extension of IoT. This research aims to provide a comprehensive overview of the development of IoB technology, its relationship with IoT, examination of its key characteristics, application areas and ongoing debates. It is also anticipated that this research will serve as both a practical and academic guide, being the first national research article on IoB, and will contribute to future studies on this emerging topic.

Özet

Teknolojinin gelişmesiyle artan rekabet ortamında insanların dikkatini çekmek gün geçtikçe zorlaşmış ve yeni, dikkat çekici mal ve hizmetler sunabilmek için firmalar insanların davranışlarını anlamaya odaklanmışlardır. Kullanıcıya özel seçenekler sunulması kişiselleştirilmiş mal ve hizmetlere olan talebi artırmış, kullanıcıların internet ortamında sergiledikleri davranışlar hakkında değerli bilgiler edinmeyi ve niyetlerini ortaya çıkarmayı amaçladıkları yeni teknoloji Davranışların İnterneti (IoB)’nin gücünden yararlanmayı gerekli kılmıştır. IoB teknolojisi internet ortamında kullanıcıların ürün ve hizmetlerle nasıl bir etkileşime girdiklerini uygun veri analiz teknikleriyle inceleyen ve bu verilerden iç görü elde etmeyi hedefleyen bir araştırma konusudur. Firmalar bu teknoloji ile kullanıcıların davranışsal verilerindeki kalıpları tahmin ederek bu kalıplar ile kullanıcı davranışlarını manipüle etmeye odaklanan ve kişiselleştirilmiş mal ve hizmetler ile kullanıcı memnuniyetini en üst düzeye taşıyabileceklerdir. Nesnelerin İnterneti (IoT)’nin gelişmeye devam etmesi ve artan cihaz kullanımı ile çok sayıda davranışsal veri toplanmaya devam etmektedir. IoT’nin bir uzantısı olarak ortaya çıkan IoB araştırma konusu hakkında literatüre bakıldığında kavramsal, teorik ve ampirik araştırma alanında geniş bir boşluk olduğu belirlenmiştir. Bu araştırmada IoB teknolojisinin gelişimi, IoT ile ilişkisi, özelliklerinin incelenmesi, uygulama alanları ve tartışmaya açık konulara kapsamlı bir genel bakış sunması hedeflenmektedir. Ayrıca IoB üzerine gelecekteki araştırmalarda hem firmalara hem de akademik anlamda ilk ulusal araştırma makalesi olarak rehberlik edeceği düşünülmektedir.

🔖

Cite This Article

Aktaş, B., Arı, E. S. (2025). INTERNET of BEHAVIORS (IoB). Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 34 Sayı: Uygarlığın Dönüşümü: Yapay Zekâ Özel Sayı, 232–246. https://doi.org/10.35379/cusosbil.1624484

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (30)

  1. Aldowah, H., Rehman, S. U., Ghazal, S. ve Umar, I. N. (2017, Eylül). Internet of things in higher education: a study on future learning. In Journal of Physics: Conference Series 892(1), 012017, IOP Publishing. doi:10.1088/1742-6596/892/1/012017
  2. Amiri, Z., Heidari, A., Darbandi, M., Yazdani, Y., Jafari Navimipour, N., Esmaeilpour, M. ve Unal, M. (2023). The personal health applications of machine learning techniques in the internet of behaviors. Sustainability, 15(16), 1-41. http://dx.doi.org/10.3390/su151612406
  3. Arı, A. ve Onder, H. (2013). Farklı veri yapılarında kullanılabilecek regresyon yöntemleri. Anadolu Tarım Bilimleri Dergisi, 28(3), 168-174. https://doi.org/10.7161/anajas.2013.28.3.168
  4. Azghiou, K., El-Mouhib, M., Koulali, M. A. ve Benali, A. (2020). An end-to- end reliability framework of the internet of things. Sensors, 20 (9), 1-23. https://doi.org/10.3390%2Fs20092439
  5. Basu, P. (2021). Digital transformation-internet of behaviour for framing business strategies and value creation. The Management Accountant Journal, 56(6), 70-74.
  6. Bozbuğa, N. ve Güven, S. (2021). Tıp bilişimi. Istanbul University Press, 97-110. DOI: 10.26650/B/ET07.2022.007
  7. Daud, A., Aljohani, N. R., Abbasi, R. A., Lytras, M. D., Abbas, F. ve Alowibdi, J. S. (2017, Nisan). Predicting student performance using advanced learning analytics. In Proceedings of the 26th International Conference On World Wide Web Companion, 415-421. http://dx.doi.org/10.1145/3041021.3054164
  8. Deep, A. ve Aswin K. V. N. (2022). A study on internet of behaviors (IoB), International Journal of Novel Research and Development, 7(5), 1182-1187.
  9. Elayan, H., Aloqaily, M., Karray, F. ve Guizani, M. (2022, Mayıs). Decentralized IoB for influencing IoT-based systems behavior. In ICC 2022-IEEE International Conference on Communications, 3340-3345. IEEE. https://doi.org/10.1109/ICC45855.2022.9839241
  10. Elayan, H., Aloqaily, M., Karray, F. ve Guizani, M. (2022). Internet of behavior and explainable AI systems for influencing IoT behavior. IEEE Network, 37(1), 62-68. https://doi.org/10.1109/MNET.009.2100500
  11. Embarak, O. H. (2022). Internet of behaviour (IoB)-based AI models for personalized smart education systems. Procedia Computer Science, 203, 103-110. https://doi.org/10.1016/j.procs.2022.07.015
  12. Gartner ‘Top Strategic Technology Trends for 2021’ https://www.gartner.com/en/newsroom/press-releases/2020-10-19-gartner-identifies-the-top-strategic-technology-trends-for-2021#:~:text=Internet%20of%20Behaviors,text=The%20IoB%20combines%20existing%20technologies,cash%20purchases%20or%20device%20usage
  13. Halgekar, A., Chouhan, A., Khetan, I., Bhatia, J., Shah, N. ve Srivastava, K. (2021, Ekim). Internet of behavior (IoB): A survey. In 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 1-6. IEEE. https://doi.org/10.1109/ISCON52037.2021.9702450
  14. Javaid, M., Haleem, A., Singh, R. P., Khan, S. ve Suman, R. (2022). An extensive study on internet of behavior (iob) enabled healthcare-systems: features, facilitators and challenges. Bench Council Transactions on Benchmarks, Standards and Evaluations, 2(4), 1-10. https://doi.org/10.1016/j.tbench.2023.100085
  15. Javaid, M., Haleem, A., Singh, R. P., Rab, S. ve Suman, R. (2021). Internet of behaviours (IoB) and its role in customer services. Sensors International, 2, 1-8. https://doi.org/10.1016/j.sintl.2021.100122
  16. Mezair, T., Djenouri, Y., Belhadi, A., Srivastava, G. ve Lin, J. C. W. (2022). Towards an advanced deep learning for the internet of behaviors: Application to connected vehicles. ACM Transactions On Sensor Networks, 19(2), 1-18. https://doi.org/10.1145/3526192
  17. Moghaddam, M. T., Muccini, H., Dugdale, J. ve Kjægaard, M. B. (2022, Mart). Designing internet of behaviors systems. In 2022 IEEE 19th International Conference on Software Architecture (ICSA), 124-134, IEEE.https://doi.ieeecomputersociety.org/10.1109/ICSA53651.2022.00020
  18. Molla, A., Hoang, G. ve Oshodin, O. (2021). Conceptualising the internet of behaviours (IoB): A multi-level perspective and research agenda, ACIS 2021 Proceedings. 57, 1-11.
  19. Nyman, G. ‘Covid-19, Behavior Knowledge and Internet of Behaviors (IoB)’ https://gotepoem.wordpress.com/2020/04/
  20. Nyman, G. ’The Psychology Behind Internet of Behaviors (IoB)’ https://gotepoem.wordpress.com/2012/10/
  21. Rahaman, T. (2022). Smart things are getting smarter: An introduction to the internet of behavior. Medical Reference Services Quarterly, 41(1), 110-116. https://doi.org/10.1080/02763869.2022.2021046
  22. Salis, A. (2021). Towards the internet of behaviors in smart cities through a fog-to-cloud approach. HighTech and Innovation Journal, 2(4), 273-284. https://doi.org/10.28991/HIJ-2021-02-04-01
  23. Stary, C. (2020). The internet-of-behavior as organizational transformation space with choreographic intelligence. In Subject-Oriented Business Process Management. The Digital Workplace–Nucleus of Transformation: 12th International Conference, S-BPM ONE 2020, Bremen, Germany, December 2-3, 2020, Proceedings 12, 113-132. Springer International Publishing. https://doi.org/10.1007/978-3-030-64351-5_8
  24. Sun, J., Gan, W., Chao, H. C., Philip, S. Y. ve Ding, W. (2023). Internet of behaviors: A survey. IEEE Internet of Things Journal, 1-17. 10.1109/JIOT.2023.3247594
  25. Tutunea, S. M. F. (2022). Internet of behavior (IoB)-An alternative for differentiation in the digital environment. Studia Universitatis Babes Bolyai-Negotia, 67(3), 7-26. http://dx.doi.org/10.24193/subbnegotia.2022.3.01
  26. Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13-66. http://dx.doi.org/10.1016/j.jsis.2019.01.003
  27. Zhao, Q., Li, G., Cai, J., Zhou, M. ve Feng, L. (2023). A tutorial on internet of behaviors: concept, architecture, technology, applications and challenges. IEEE Communications Surveys, Tutorials, 1227-1260. https://doi.org/10.1109/COMST.2023.3246993
  28. Ziani, L., Khanouche, M. E. ve Belaid, A. (2022, Kasım). Internet of behaviors: A literature review of an emerging technology. In 2022 First International Conference on Big Data, IoT, Web Intelligence and Applications (BIWA), 42-47. IEEE. https://doi.org/10.1109/BIWA57631.2022.10037987
  29. Aldowah, H., Rehman, S. U., Ghazal, S. ve Umar, I. N. (2017, Eylül). Internet of things in higher education: a study on future learning. In Journal of Physics: Conference Series 892(1), 012017, IOP Publishing. doi:10.1088/1742-6596/892/1/012017
  30. Zhao, Q., Li, G., Cai, J., Zhou, M. ve Feng, L. (2023). A tutorial on internet of behaviors: concept, architecture, technology, applications and challenges. IEEE Communications Surveys, Tutorials, 1227-1260. https://doi.org/10.1109/COMST.2023.3246993