The Evolution of Online Gaming Technology: Insights from Library Research
Keywords:
Digital Technology, Digital Innovation, Technological Convergence, Digital Ecosystem, Virtual EnvironmentsAbstract
The rapid development of digital technologies has transformed online gaming from a simple network-based entertainment medium into a complex digital ecosystem integrating cloud computing, artificial intelligence, immersive technologies, blockchain systems, and virtual environments. This study aims to examine the evolution of online gaming technology and identify the major technological dimensions that have shaped its development. The study employed a qualitative research design using a Library Research approach. Data were collected from scholarly journal articles, academic books, conference proceedings, and other reputable academic publications related to online gaming technology and digital innovation. The collected literature was analyzed using Thematic Analysis to identify recurring concepts, patterns, and theoretical insights. The findings reveal that the evolution of online gaming technology is characterized by three interconnected dimensions: technological infrastructure development, technological convergence, and digital ecosystem transformation. Advances in networking systems and cloud computing have enhanced accessibility and scalability, while the integration of artificial intelligence, virtual reality, augmented reality, and blockchain technologies has transformed gaming environments into increasingly immersive and adaptive systems. Furthermore, online gaming has evolved into a broader digital ecosystem involving virtual economies, online communities, and metaverse-oriented environments. This study contributes to the literature by providing a comprehensive conceptual synthesis that explains online gaming technology as an evolving digital ecosystem shaped by continuous innovation and technological convergence.
References
Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic Approaches to a Successful Literature Review (2nd ed.). Sage.
Braun, V., & Clarke, V. (2006). Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Bui, V.-P., Pandey, S. R., Casparsen, A., Chiariotti, F., & Popovski, P. (2025). The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless Networks. IEEE Communications Magazine, 63(3), 204–211. https://doi.org/10.1109/MCOM.001.240089
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications.
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., & Wamba, S. F. (2022). Metaverse Beyond the Hype: Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
Kraus, S., Kanbach, D. K., Krysta, P. M., Steinhoff, M. M., & Tomini, N. (2022). Facebook and the Creation of the Metaverse: Radical Business Model Innovation or Incremental Transformation? International Journal of Entrepreneurial Behavior & Research, 28(9), 52–77. https://doi.org/10.1108/IJEBR-12-2021-0984
Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital Innovation Management: Reinventing Innovation Management Research in a Digital World. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847
Park, S. M., & Kim, Y. G. (2022). A Metaverse: Taxonomy, Components, Applications, and Open Challenges. IEEE Access, 10, 4209–4251. https://doi.org/10.1109/ACCESS.2021.3140175
Rogers, D. L. (2023). The Digital Transformation Playbook: Rethink Your Business for the Digital Age (2nd ed.). Columbia University Press.
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Snyder, H. (2019). Literature Review as a Research Methodology: An Overview and Guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Tracy, S. J. (2020). Qualitative Research Methods: Collecting Evidence, Crafting Analysis, Communicating Impact (2nd ed.). Wiley-Blackwell.
Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971
Yannakakis, G. N., & Togelius, J. (2018). Artificial Intelligence and Games. Springer. https://doi.org/10.1007/978-3-319-63519-4
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/isre.1100.0322
