IoT as a Business Performance Support: A Bibliometric Study

Authors

  • Loso Judijanto IPOSS Jakarta, Indonesia

DOI:

https://doi.org/10.58812/wsshs.v4i03.2717

Keywords:

Internet of Things, IoT, Business Performance, Bibliometric Analysis, VOSviewer

Abstract

This study examines the development of research on the Internet of Things as a support for business performance through a bibliometric approach. Using data retrieved from the Scopus, the study analyzes publication trends, influential sources, and the intellectual structure of the field. The analysis is conducted using VOSviewer and Bibliometrix to map co-authorship, co-citation, and keyword co-occurrence networks. The findings reveal that IoT research has evolved from a primary focus on technological infrastructure, such as security and connectivity, toward more integrated themes including data analytics, artificial intelligence, and industry applications. Several key clusters emerge, highlighting the role of IoT in operational efficiency, business process transformation, and intelligent decision-making. The results also indicate a growing convergence between IoT and advanced digital technologies, suggesting a shift toward more strategic and performance-oriented applications. This study contributes by positioning IoT as a capability that supports business performance and by identifying emerging research directions for future investigation.

References

[1] A. Korte, V. Tiberius, and A. Brem, “Internet of Things (IoT) technology research in business and management literature: Results from a co-citation analysis,” J. Theor. Appl. Electron. Commer. Res., vol. 16, no. 6, pp. 2073–2090, 2021.

[2] I. Zrelli and A. Rejeb, “A bibliometric analysis of IoT applications in logistics and supply chain management,” Heliyon, vol. 10, no. 16, 2024.

[3] H. Purwanto, R. Hurriyati, and P. D. Dirgantari, “The role of the internet of things (IoT) in business and marketing areas: a systematic literature review using the bibliometric analysis approach,” in 5th Global Conference on Business, Management and Entrepreneurship (GCBME 2020), Atlantis Press, 2021, pp. 338–342.

[4] D. Mishra, A. Gunasekaran, S. J. Childe, T. Papadopoulos, R. Dubey, and S. Wamba, “Vision, applications and future challenges of Internet of Things: A bibliometric study of the recent literature,” Ind. Manag. Data Syst., vol. 116, no. 7, pp. 1331–1355, 2016.

[5] Z. Bi, L. Da Xu, and C. Wang, “Internet of things for enterprise systems of modern manufacturing,” IEEE Trans. Ind. informatics, vol. 10, no. 2, pp. 1537–1546, 2014.

[6] M. Ardolino, M. Rapaccini, N. Saccani, P. Gaiardelli, G. Crespi, and C. Ruggeri, “The role of digital technologies for the service transformation of industrial companies,” Int. J. Prod. Res., vol. 56, no. 6, pp. 2116–2132, 2018.

[7] J. Nagy, J. Oláh, E. Erdei, D. Máté, and J. Popp, “The role and impact of Industry 4.0 and the internet of things on the business strategy of the value chain—the case of Hungary,” Sustainability, vol. 10, no. 10, p. 3491, 2018.

[8] J. Oláh, N. Aburumman, J. Popp, M. A. Khan, H. Haddad, and N. Kitukutha, “Impact of Industry 4.0 on environmental sustainability,” Sustainability, vol. 12, no. 11, p. 4674, 2020.

[9] T. Saranya, S. Sridevi, C. Deisy, T. D. Chung, and M. K. A. A. Khan, “Performance analysis of machine learning algorithms in intrusion detection system: A review,” Procedia Comput. Sci., vol. 171, pp. 1251–1260, 2020.

[10] K. Vassakis, E. Petrakis, and I. Kopanakis, “Big data analytics: applications, prospects and challenges,” Mob. big data A roadmap from Model. to Technol., pp. 3–20, 2017.

[11] J. R. Hanaysha and H. M. Alzoubi, “Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia,” Uncertain Supply Chain Manag., vol. 10, no. 2, pp. 537–550, 2022.

[12] W. Viriyasitavat, L. Da Xu, Z. Bi, and A. Sapsomboon, “Blockchain-based business process management (BPM) framework for service composition in industry 4.0,” J. Intell. Manuf., vol. 31, no. 7, pp. 1737–1748, 2020.

[13] Ö. Köksal and B. Tekinerdogan, “Architecture design approach for IoT-based farm management information systems,” Precis. Agric., vol. 20, no. 5, pp. 926–958, 2019.

[14] H. A. Gohel, H. Upadhyay, L. Lagos, K. Cooper, and A. Sanzetenea, “Predictive maintenance architecture development for nuclear infrastructure using machine learning,” Nucl. Eng. Technol., vol. 52, no. 7, pp. 1436–1442, 2020.

Downloads

Published

2026-03-31

How to Cite

IoT as a Business Performance Support: A Bibliometric Study (L. Judijanto, Trans.). (2026). West Science Social and Humanities Studies , 4(03), 366-372. https://doi.org/10.58812/wsshs.v4i03.2717