Explorating Keywords in Technology Adoption Literature with Vos-Viewer

Silvina Husnah; Sri Andriani; Sulis Rochayatun

doi:10.53961/paradigma.v17i2.321

Silvina Husnah Jurusan Akuntansi, UIN Malang
Sri Andriani Jurusan Akuntansi, UIN Malang
Sulis Rochayatun Jurusan Akuntansi, UIN Malang

DOI: https://doi.org/10.53961/paradigma.v17i2.321

Keywords: Adoption Technology, Macro Level Analysis, VOSviewer

Abstract

Adoption at the macro level using a bibliometric approach with the aid of VOSviewer " and "Return on Investment (ROI)". The analysis revealed five major research clusters: technological implementation challenges, the role of SMEs, financial performance and ROI, cost and industry, and corporate strategies. The overlay visualization indicates that emerging topics such as artificial intelligence and digital transformation are becoming more prominent in recent literature, while ROI-related discussions were more prevalent in earlier years. This study provides a comprehensive mapping of current research trends and focal points in the field of technology adoption, and identifies potential research gaps for future exploration.

Keywords: Adoption Technology, Macro Level Analysis, dan VOSviewer

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References

Smith, J., & Lee, A. (2022). Information technology adoption and small and medium enterprise (SMEs) performance: Does IT adoption reduce rural penalty in emerging and developing economies? Journal of Small Business Management, 60(4), 567–589.
Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The next generation of technology adoption research: A review of technology acceptance models. Information Systems Frontiers, 23(5), 1215–1236.
Khin, S., & Ho, T. C. F. (2019). Digital technology, digital capability and organizational performance: A mediating role of digital innovation. International Journal of Innovation Science, 11(2), 177–195.
Morrar, R., Arman, H., & Mousa, S. (2017). The fourth industrial revolution (Industry 4.0): A social innovation perspective. Technology Innovation Management Review, 7(11), 12–20.
World Bank. (2020). World Development Report 2021: Data for better lives. World Bank Publications.
Comin, D., & Mestieri, M. (2018). If technology has arrived everywhere, why has income diverged? American Economic Journal: Macroeconomics, 10(3), 137–178.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Younis, A., Sundarakani, B., & Vel, P. (2022). Exploring factors influencing technology adoption rate at the macro level: A predictive model. Technology in Society, 68, 101862.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
UNCTAD. (2023). Widening Digital Gap between Developed, Developing States Threatens Progress on SDGs. United Nations Conference on Trade and Development.ncentivizing innovation for climate change adaptation: The role of intellectual property rights in developing countries. arXiv.
Jee, H., Barbieri, N., Reiner, D. M., Dechezleprêtre, A., & Johnstone, N. (2024). Incentivizing innovation for climate change adaptation: The role of intellectual property rights in developing countries. arXiv.
Yigitcanlar, T., & Kamruzzaman, M. (2019). A Bibliometric Analysis and Research Agenda on Smart Cities. Dalam ICT Unbounded, Social Impact of Bright ICT Adoption (hlm. 325–335). Springer.
Jee, S. J., Hötte, K., Ring, C., & Burrell, R. (2024). Making intellectual property rights work for climate technology transfer and innovation in developing countries.
Contreras, F., & Abid, M. (2022). A bibliometric mapping analysis using VOSviewer Software: Social Sustainability Studies in the 21st Century.
Ghazali, E., Nguyen, B., Mutum, D. S., & Mohd-Any, A. A. (2020).
Navigating the fourth industrial revolution: a systematic review of technology adoption model trends. Journal of Science and Technology Policy Management, 11(2), 123–145.
Febrianto, A. S., et al. (2023). Using VOSviewer for a bibliometric computational mapping analysis of communication technology research. Journal of Engineering Science and Technology, 18(6).
Visser, M., van Eck, N. J., & Waltman, L. (2020). Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. arXiv preprint arXiv:2005.10732.
Hossain, M. S., Dwivedi, Y. K., & Rana, N. P. (2023). Technology adoption research in the era of artificial intelligence: Current trends and future directions. Journal of Business Research, 157, 113609.
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in business and management research: An overview of the current status and future research opportunities. Technological Forecasting and Social Change, 171, 120946.
Maroufkhani, P., Tseng, M. L., Iranmanesh, M., & Ismail, W. K. W. (2020). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. International Journal of Information Management, 54, 102190.