A SYSTEMATIC LITERATURE REVIEW ON: DIFFUSION OF INNOVATION THEORY (2020–2024)
DOI:
10.54443/ijset.v4i12.1306Published:
2025-11-07Downloads
Abstract
This study aims to conduct a Systematic Literature Review (SLR) on the application and development of the Diffusion of Innovation (DOI) Theory across various research contexts between 2020 and 2024. The theory, introduced by Everett M. Rogers, is typically used to explain how innovations are adopted, spread, and sustained in social systems. However, with the rapid development of digital transformation, artificial intelligence, and new technologies, there is a need to reassess how this theory has been applied and developed in recent years. This study uses the PRISMA method, following the stages of identifying, screening, and analyzing articles from databases such as Scopus and Google Scholar. A total of 20 relevant articles were reviewed and categorized based on the research field, methods used, and key findings. The results show that the DOI theory remains relevant in various fields, such as information technology, healthcare, education, digital finance, and the public sector. The development of the theory has shifted its focus from technological characteristics and users' rational decisions, towards psychological, social, organizational, and environmental factors. Several factors such as trust, perceived security, management support, organizational readiness, and user experience have been shown to be key determinants of successful innovation adoption. These findings indicate that DOI theory has now evolved into a more human-focused, flexible, and context-appropriate model, thus being able to explain the innovation adoption process amidst the digital era, the pandemic, and increasingly rapid technological advances.
Keywords:
Diffusion of Innovation Theory Systematic Literature Review Technology Adoption Diffusion of Innovation, 2020–2024References
Dillette, A., & Ponting, S. S.-A. (2021). Diffusing innovation in times of disasters: Considerations for event management professionals. Journal of Convention & Event Tourism, 22(3), 197-220. https://doi.org/10.1080/15470148.2020.1860847
Zoubi, M. A. L., Alfaris, Y., Fraihat, B., Otoum, A., Nawasreh, M., & Alfandi, A. (2023). An extension of the diffusion of innovation theory for business intelligence adoption: A maturity perspective on project management. Uncertain Supply Chain Management, 11(2), 465–472. https://doi.org/10.5267/j.uscm.2023.3.003
Ong, H.-B., Jaffar, N., Yap, V.-C., & Norhashim, M. (2023). Empirical analysis of internet and mobile banking in Malaysia. Asian Economic and Financial Review, 13(2), 138–147. https://doi.org/10.55493/5002.v13i2.4717
Moloi, T., & Obeid, H. (2024). Perceptions of South African accountants on factors with a role in the adoption of artificial intelligence in financial reporting. Journal of Risk and Financial Management, 17(9), 389. https://doi.org/10.3390/jrfm17090389
Bokolo Jr., A., Kamaludin, A., Romli, A., Mat Raffei, A. F., A. L. Eh Phon, D., Abdullah, A., & Ming, G. L. (2022). Blended learning adoption and implementation in higher education: A theoretical and systematic review. Technology, Knowledge and Learning, 27(2), 531–578. https://doi.org/10.1007/s10758-020-09477-z
Mashilo, M., & Iyamu, T. (2024). Selecting an assistive technology for visually impaired students in higher institution. Issues in Information Systems, 25(4), 482-490. https://doi.org/10.48009/4_iis_2024_137
Hamed, A., & Bohari, A. M. (2022). Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia. Knowledge and Performance Management, 6(1), 62-74. https://doi.org/10.21511/kpm.06(1).2022.06
Makovhololo, P., & Iyamu, T. (2020). Diffusion of technology for language challenges in the South African healthcare environment. Advances in Science, Technology and Engineering Systems, 5(4), 257–265. https://doi.org/10.25046/aj050432
Askarany, D., Yazdifar, H., & Dow, K. (2021). B2B networking, renewable energy, and sustainability. Journal of Risk and Financial Management, 14(7), 290. https://doi.org/10.3390/jrfm14070290
Li, J., & Chung, K. (2018). Decomposing isomorphism: What drives similarity in the adoption of New Public Management? Administration & Society, 52(3), 375–404. https://doi.org/10.1177/0095399718811307
Ong, J. W., Rahim, M. F. A., Lim, W., & Nizat, M. N. M. (2022). Agricultural technology adoption as a journey: Proposing the technology adoption journey map. International Journal of Technology, 13(5), 1090-1096. https://doi.org/10.14716/ijtech.v13i5.5863
Booth, P., & Røyseng, S. (2022). Artists and online dissemination: An analysis of positions and position takings. The Journal of Arts Management, Law, and Society, 52(4), 266 285. https://doi.org/10.1080/10632921.2022.2034691
Beckett, R. C., & O’Loughlin, A. M. (2024). Situated living labs: Multi level theoretical foundations with illustrative case examples. Journal of Innovation Management, 12(3), 226–250. https://doi.org/10.24840/2183-0606_012.003_0010
He, M., & Lee, J. (2020). Social culture and innovation diffusion: A theoretically founded agent based model. Journal of Evolutionary Economics, 30(4), 1109–1149. https://doi.org/10.1007/s00191 020 00665 9
Makovhololo, P., & Iyamu, T. (2020). A Framework to Guide ICT Solution for Language Barrier in South African Healthcare. Journal of Cases on Information Technology, 22(2), 1 17. https://doi.org/10.4018/jcit.2020040101
Fong, S. W. L., Ismail, H., Kian, T. P., & Kamaruddin, N. I. (2024). Implication of characteristic based adoption model to private label product in Malaysian hypermarket. Paper Asia, 40(6), 289 298. https://doi.org/10.59953/paperasia.v40i6b.269
Kamaruddin, N. I., Ismail, H., Wee, L. F. S., & Tan, P. K. (2024). Customer perception towards pharmaceuticals’ private labels in Malaysia: Extending DOI integrated framework. Paper Asia, 40(6), 174–182. https://doi.org/10.59953/paperasia.v40i6b.264
Breaugh, J., McBride, K., Kleinaltenkamp, M., & Hammerschmid, G. (2021). Beyond diffusion: A systematic literature review of innovation scaling. Sustainability, 13(24), 13528. https://doi.org/10.3390/su132413528
Chen, H., Seecharan, T., & Feng, C. (2024). Promoting the diffusion of sustainable innovations through customer education—A case of the cosmetic industry. Sustainability, 16(6), 2583. https://doi.org/10.3390/su16062583
Campagna, J. M., & Bhada, S. V. (2024). Strategic adoption of digital innovations leading to digital transformation: A literature review and discussion. Systems, 12(4), 118. https://doi.org/10.3390/systems12040118
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