Uncovering Global Trends in Internet of Behaviors (IoB) Research through Bibliometric Analysis
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Abstract
The Internet of Behaviors (IoB) represents an emerging multidisciplinary field that integrates technology, data analytics, and behavioral science to influence and understand human actions through digital interactions. This study conducts a bibliometric analysis to uncover global research trends in IoB, highlighting its evolution, key themes, and emerging areas of interest. The analysis, based on publications from 2001 to 2024, reveals the central role of technological advancements such as artificial intelligence and IoT in driving IoB research. Key applications include personalized marketing, healthcare optimization, and smart city development, while ethical and privacy concerns remain critical challenges. India is identified as a leading contributor and global hub for IoB research, with significant international collaborations. Despite its rapid growth, gaps exist in understanding the long-term societal impacts of IoB and its applicability in underrepresented regions. This study emphasizes the need for interdisciplinary research, ethical governance, and inclusive collaboration to maximize IoB's potential for innovation and societal benefit.
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References
T. Kramp, R. Van Kranenburg, and S. Lange, “Introduction to the Internet of Things,” Enabling things to talk Des. IoT Solut. with IoT Archit. Ref. Model, pp. 1–10, 2013.
Y. Huang, S. Benford, and H. Blake, “Digital interventions to reduce sedentary behaviors of office workers: scoping review,” J. Med. Internet Res., vol. 21, no. 2, p. e11079, 2019.
O. H. Embarak, “Internet of Behaviour (IoB)-based AI models for personalized smart education systems,” Procedia Comput. Sci., vol. 203, pp. 103–110, 2022.
K. Bizhanova, A. Mamyrbekov, I. Umarov, A. Orazymbetova, and A. Khairullaeva, “Impact of digital marketing development on entrepreneurship,” E3S Web Conf., vol. 135, 2019, doi: 10.1051/e3sconf/201913504023.
Z. Xiang, V. P. Magnini, and D. R. Fesenmaier, “Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet,” J. Retail. Consum. Serv., vol. 22, pp. 244–249, 2015.
T. Mezair, Y. Djenouri, A. Belhadi, G. Srivastava, and J. C.-W. Lin, “Towards an advanced deep learning for the internet of behaviors: Application to connected vehicles,” ACM Trans. Sens. Networks, vol. 19, no. 2, pp. 1–18, 2022.
Q. Zhao, G. Li, J. Cai, M. Zhou, and L. Feng, “A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges,” IEEE Commun. Surv. Tutorials, vol. 25, no. 2, pp. 1227–1260, 2023.
M. D. Smith, “CALL in a social context: reflecting on digital equity, identity, and interaction in the post-COVID age,” Qual. Assur. Educ., vol. 29, no. 4, pp. 537–549, 2021.
L. Mora, R. Bolici, and M. Deakin, “The first two decades of smart-city research: A bibliometric analysis,” J. Urban Technol., vol. 24, no. 1, pp. 3–27, 2017.
M. Javaid, A. Haleem, R. P. Singh, S. Rab, and R. Suman, “Internet of Behaviours (IoB) and its role in customer services,” Sensors Int., vol. 2, p. 100122, 2021.
Z. Amiri et al., “The personal health applications of machine learning techniques in the internet of behaviors,” Sustainability, vol. 15, no. 16, p. 12406, 2023.
J. Bzai et al., “Machine learning-enabled internet of things (iot): Data, applications, and industry perspective,” Electronics, vol. 11, no. 17, p. 2676, 2022.
C. Stary, “Digital twin generation: Re-conceptualizing agent systems for behavior-centered cyber-physical system development,” Sensors, vol. 21, no. 4, p. 1096, 2021.
X. Yuan et al., “A MEC offloading strategy based on improved DQN and simulated annealing for internet of behavior,” ACM Trans. Sens. Networks, vol. 19, no. 2, pp. 1–20, 2022.
M. T. Moghaddam, H. Muccini, J. Dugdale, and M. B. Kjægaard, “Designing internet of behaviors systems,” in 2022 IEEE 19th International Conference on Software Architecture (ICSA), IEEE, 2022, pp. 124–134.
C. Stary, “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, Springer, 2020, pp. 113–132.
P. Kumar, D. K. Singh, M. Sharm, and P. Arora, “Advancing Education and Cultural Heritage Through Innovative AI Techniques: A Bibliometric Analysis,” in 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), IEEE, 2023, pp. 1–6.