A Decade of Digital Economy Research in Education: A Bibliometric and Systematic Review of Trends, Gaps, and Future Directions
Abstract
The intersection of digital economy and education has gained significant academic attention over the past decade, particularly with the increasing influence of artificial intelligence, big data, and platform-based learning. However, a comprehensive understanding of the field's evolution remains limited. This study conducts a bibliometric and systematic review of 201 peer-reviewed journal articles published between 2014 and December 2024, retrieved from the Scopus database. The PRISMA framework guided the selection process. Bibliometric performance analysis and science mapping were carried out using VOSviewer, RStudio, Excel, and OpenRefine to explore publication trends, key themes, influential authors, and emerging research fronts. Findings reveal three dominant thematic clusters: technological innovation (e.g., economic growth, energy efficiency), advanced technologies (e.g., AI, big data, e-learning), and human-centered education (e.g., equity, curriculum design, sustainability). The number of publications peaked between 2020 and 2022, correlating with global shifts due to COVID-19 and increased digital adoption. Despite strong research output, underexplored areas remain, such as Industry 4.0, ethical AI use, and smart mobility in education. This study identifies critical gaps and suggests future research directions, including the need for inclusive digital infrastructure, ethical governance of educational AI, and sustainable models of digital transformation. A conceptual framework is proposed to guide interdisciplinary inquiry at the intersection of education and the digital economy.
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Abdelfattah, F., Al Halbusi, H., & Al-Brwani, R. M. (2023). Cognitive style and fostering of technological adaptation drive E-entrepreneurial of new mature business. International Journal of Innovation Studies, 7(3), 230-243. https://doi.org/10.1016/j.ijis.2023.04.001
Aguilera-Hermida, A. (2020). College students’ use and acceptance of emergency online learning due to covid-19. International Journal of Educational Research Open, 1, 100011. https://doi.org/10.1016/j.ijedro.2020.100011
Alammary, A., Alhazmi, S., Almasri, M., & Gillani, S. (2019). Blockchain-based applications in education: a systematic review. Applied Sciences, 9(12), 2400. https://doi.org/10.3390/app9122400
Alkhowailed, M., Rasheed, Z., Shariq, A., Elzainy, A., Sadik, A., Alkhamiss, A., … & Abdulmonem, W. (2020). Digitalization plan in medical education during covid-19 lockdown. Informatics in Medicine Unlocked, 20, 100432. https://doi.org/10.1016/j.imu.2020.100432
Almusharraf, N. and Khahro, S. (2020). Students satisfaction with online learning experiences during the covid-19 pandemic. International Journal of Emerging Technologies in Learning (Ijet), 15(21), 246. https://doi.org/10.3991/ijet.v15i21.15647
Awdziej, M., Jaciow, M., Lipowski, M., Tkaczyk, J., & Wolny, R. (2023). Students digital maturity and its implications for sustainable behavior. Sustainability, 15(9), 7269. https://doi.org/10.3390/su15097269
Bai, M., Zhang, J., Chen, D., Lu, M., Zhang, Z., & Niu, X. (2023). Insights into research on myocardial ischemia/reperfusion injury from 2012 to 2021: a bibliometric analysis. European Journal of Medical Research, 28(1). https://doi.org/10.1186/s40001-022-00967-7
Berre, A., Tsalgatidou, A., Francalanci, C., Ivanov, T., Pariente-Lobo, T., Ruiz-Saiz, R., … & Grobelnik, M. (2022). Big data and ai pipeline framework: technology analysis from a benchmarking perspective., 63-88. https://doi.org/10.1007/978-3-030-78307-54
Chai, Z., Guo, F., Cao, J., & Yang, X. (2024). The road to eco-efficiency: Can ecological civilization pilot zone be useful? New evidence from China. Journal of Environmental Planning and Management, 67(3), 477-503. https://doi.org/10.1080/09640568.2022.2118571
Chang, V., Goble, C., Ramachandran, M., Deborah, L., & Behringer, R. (2021). Editorial on machine learning, ai and big data methods and findings for covid-19. Information Systems Frontiers, 23(6), 1363-1367. https://doi.org/10.1007/s10796-021-10216-7
Chowdhury, S., Budhwar, P., & Wood, G. (2024). Generative artificial intelligence in business: towards a strategic human resource management framework. British Journal of Management, 35 (4), 1680-1691. https://doi.org/10.1111/1467-8551.12824
Desai, A. and Patel, C. (2023). Review of global research on e-mobility: a bibliometric analysis. Communications - Scientific Letters of the University of Zilina, 25(1), A73-A82. https://doi.org/10.26552/com.c.2023.016
Duan, Y., Edwards, J., & Dwivedi, Y. (2019). Artificial intelligence for decision making in the era of big data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Ellili, N. (2023). Bibliometric analysis of sustainability papers: evidence from environment, development and sustainability. Environment Development and Sustainability, 26(4), 8183-8209. https://doi.org/10.1007/s10668-023-03067-6
Economides, A. and Perifanou, M. (2021). Smart cv for lifelong qualifications certification based on blockchain., 578-582. https://doi.org/10.36315/2021end122
Ergin, M. (2023). Bibliometric analysis of lactation curves in livestock. Türk Tarım Ve Doğa Bilimleri Dergisi, 10(4), 1009-1016. https://doi.org/10.30910/turkjans.1333143
Evanthi, A. (2023). Event management in social entrepreneurship: a bibliometric analysis. Jurnal Mebis (Manajemen Dan Bisnis), 8(1), 1-14. https://doi.org/10.33005/mebis.v8i1.417
Feng, X. (2017). 30. An English Teaching Method based on Network Technology Platform. Boletín Técnico, ISSN: 0376-723X, 55(12).
Fonseka, K., Jaharadak, A., & Raman, M. (2022). Impact of e-commerce adoption on business performance of smes in sri lanka; moderating role of artificial intelligence. International Journal of Social Economics, 49(10), 1518-1531. https://doi.org/10.1108/ijse-12-2021-0752
Gupta, A., Deokar, A., Iyer, L., Sharda, R., & Schrader, D. (2018). Big data & analytics for societal impact: recent research and trends. Information Systems Frontiers, 20(2), 185-194. https://doi.org/10.1007/s10796-018-9846-7
Hulsen, T. (2021). Literature analysis of artificial intelligence in biomedicine. Pharmacogenomics Research and Personalized Medicine, 0, 0-0. https://doi.org/10.21037/prpm-21-15
Iman, A., Hastami, Y., Handayani, S., Munawaroh, S., & Wiyono, N. (2023). Bibliometric review of anatomical terminology. Open Access Macedonian Journal of Medical Sciences, 11(A), 236-242. https://doi.org/10.3889/oamjms.2023.11259
Jamaludin, S., Jahidin, A., & Zakaria, R. (2023). Bibliometric analysis and review of research frontiers on transient receptor potential vanilloid 4 channels. Biomedical Research and Therapy, 10(5), 5671-5679. https://doi.org/10.15419/bmrat.v10i5.808
Johanes, P. and Thille, C. (2019). The heart of educational data infrastructures = conscious humanity and scientific responsibility, not infinite data and limitless experimentation. British Journal of Educational Technology, 50(6), 2959-2973. https://doi.org/10.1111/bjet.12862
Kashyap, A., & Agrawal, R. (2020). Scale development and modeling of intellectual property creation capability in higher education. Journal of Intellectual Capital, 21(1), 115-138. https://doi.org/10.1108/JIC-09-2018-0168
Kedra, J., Radstake, T., Pandit, A., Baraliakos, X., Bérenbaum, F., Finckh, A., … & Gossec, L. (2019). Current status of use of big data and artificial intelligence in rmds: a systematic literature review informing eular recommendations. RMD Open, 5(2), e001004. https://doi.org/10.1136/rmdopen-2019-001004
Kitto, K. and Knight, S. (2019). Practical ethics for building learning analytics. British Journal of Educational Technology, 50(6), 2855-2870. https://doi.org/10.1111/bjet.12868
Kobysheva, L., Luginina, A., Gafiatulina, N., & Artamonova, Y. (2021). Organization of higher education in context of digitalization: online learning experience at pandemic, development trends. E3s Web of Conferences, 273, 12052. https://doi.org/10.1051/e3sconf/202127312052
Kumar, A. (2023). Review of telemedicine and e-health: a bibliometric analysis. Asia Pacific Journal of Health Management. https://doi.org/10.24083/apjhm.v18i2.2399
Ladewi, Y. (2023). The relation between climate change and carbon emission trading: a bibliometric analysis. International Journal of Energy Economics and Policy, 14(1), 686-697. https://doi.org/10.32479/ijeep.15206
Latifah, R., Budiyanto, C., & Saputro, H. (2022). Digital transformation readiness in education: a review. International Journal of Information and Education Technology, 12(8), 809-815. https://doi.org/10.18178/ijiet.2022.12.8.1688
Liu, X., Yang, B., & Xiao, N. (2021). New characteristics and trend of regional innovation capacity in China. Bulletin of Chinese Academy of Sciences (Chinese Version), 36(1), 54-63. https://doi.org/10.16418/j.issn.1000-3045.20201219001
Liu, N. (2023). The state of astragaloside iv research: a bibliometric and visualized analysis. Fundamental and Clinical Pharmacology, 38(2), 208-224. https://doi.org/10.1111/fcp.12956
Loganathan, N. and Hashim, H. (2020). Millennial teachers’ use of technology in esl classroom: a review of literature. International Journal of Academic Research in Business and Social Sciences, 10(12). https://doi.org/10.6007/ijarbss/v10-i12/8098
Marzano, G. and Usca, S. (2020). A multidimensional approach to support training activities in the digital era. New Trends and Issues Proceedings on Humanities and Social Sciences, 7(1), 10-19. https://doi.org/10.18844/prosoc.v7i1.4896
Mishra, P. (2023). Journal of big data: a bibliometric analysis.. https://doi.org/10.21203/rs.3.rs-3041418/v1
Nichols, J., Morgan, P., Jones, L., & Efron, N. (2023). Bibliometric analysis of ophthalmic journals. Jama Ophthalmology, 141(7), 651. https://doi.org/10.1001/jamaophthalmol.2023.2062
O’Doherty, D., Dromey, M., Lougheed, J., Hannigan, A., & McGrath, D. (2018). Barriers and solutions to online learning in medical education – an integrative review. BMC Medical Education, 18(1). https://doi.org/10.1186/s12909-018-1240-0
Page, M. J., Mckenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-wilson, E., Mcdonald, S., … Moher, D. (2021). The PRISMA 2020 statement : an updated guideline for reporting systematic reviews Systematic reviews and Meta-Analyses. The BMJBMJ, 372, 1–9. https://doi.org/10.1136/bmj.n71
Putro, A. (2023). Mapping the journey of internet of things (iot) research: a bibliometric analysis of technology advancements and research focus. West Science Interdisciplinary Studies, 1(08), 564-575. https://doi.org/10.58812/wsis.v1i08.181
Rantala, T., & Ukko, J. (2019). Performance evaluation to support European regional development–A university–industry perspective. European Planning Studies, 27(5), 974-994. https://doi.org/10.1080/09654313.2019.1581728
Rantala, T., Ukko, J., & Saunila, M. (2021). The role of performance measurement in university–industry collaboration projects as a part of managing Triple Helix operations. Triple Helix, 8(3), 405-444.
Saltali, A. and ASLANLAR, E. (2023). Bibliometric analysis on pediatric caudal anesthesia. Pediatric Practice and Research, 11(1), 7-12. https://doi.org/10.21765/pprjournal.1228593
Shihomeka, S. (2023). Assessing staff digital literacy level vs attitude toward online teaching and learning. NJLC, 16(2), 56-67. https://doi.org/10.59677/njlc.v16i2.23
Simion, P. (2023). A decade of bibliometric analysis of biodiversity. Annals of Valahia University of Târgovişte Agriculture, 15(2), 43-49. https://doi.org/10.2478/agr-2023-0017
Sun, S., Liao, H., & Wu, X. (2020). The role of big data and artificial intelligence in education and education research: a literature mapping.. https://doi.org/10.2991/assehr.k.200428.053
Sur, E. (2023). Bibliometric analysis of the use of sentiment analysis in the context of service quality. YADE, 8(1), 81-104. https://doi.org/10.57120/yalvac.1258627
Syed, R. T., Singh, D., Agrawal, R., & Spicer, D. P. (2023). Entrepreneurship development in universities across Gulf Cooperation Council countries: a systematic review of the research and way forward. Journal of Enterprising Communities: People and Places in the Global Economy, 17(5), 1045-1062. https://doi.org/10.1108/JEC-03-2022-0045
Tiwow, G. (2023). Human resources management in trouble time: strategy to increase organization agility for digital transformation in university. IJITE, 2(4), 99-112. https://doi.org/10.62711/ijite.v2i4.166
Toseef, M. (2023). Science mapping of health sector kickbacks: a bibliometric analysis. Health Sciences Journal, 2(1), 16-22. https://doi.org/10.59365/hsj.2(1).2023.56
Tsilika, K. (2023). Exploring the contributions to mathematical economics: a bibliometric analysis using bibliometrix and vosviewer. Mathematics, 11(22), 4703. https://doi.org/10.3390/math11224703
Wang, Z. (2020). Exploring different notions of literacy: a literature review analysis of literacy research related to artificial intelligence and big data application. Iop Conference Series Materials Science and Engineering, 806(1), 012023. https://doi.org/10.1088/1757-899x/806/1/012023
Yilmaz, A. (2023). The relation between intellectual capital and digital transformation: a bibliometric analysis. International Journal of Innovation Science, 16(2), 244-264. https://doi.org/10.1108/ijis-08-2022-0145
Yip, C., Zhang, Y., Lu, E., & Dong, Z. Y. (2022). A hybrid assessment framework for human‐centred sustainable smart campus: A case study on COVID‐19 impact. IET Smart Cities, 4(3), 184-196. https://doi.org/10.1049/smc2.12038
Zaripova, R. (2023). Unlocking the potential of artificial intelligence for big data analytics. E3s Web of Conferences, 460, 04011. https://doi.org/10.1051/e3sconf/202346004011
Zhang, W., Pradhan, B., Stuyts, B., & Xu, C. (2023). Application of artificial intelligence in geotechnical and geohazard investigations. Geological Journal, 58(6), 2187-2194. https://doi.org/10.1002/gj.4779
Zhou, F., Liu, Y., Liu, C., Wang, F., Peng, J., Xie, Y., … & Zhou, X. (2023). Knowledge landscape of tumor-associated macrophage research: a bibliometric and visual analysis. Frontiers in Immunology, 14. https://doi.org/10.3389/fimmu.2023.1078705
Zhou, Y. (2023). What aspects explain the relationship between digital transformation and financial performance of firms?. Journal of Risk and Financial Management, 16(11), 479. https://doi.org/10.3390/jrfm16110479
Zulkarnain, N. and Yunus, M. (2023). Teachers' perceptions and continuance usage intention of artificial intelligence technology in tesl. International Journal of Multidisciplinary Research and Analysis, 06(05). https://doi.org/10.47191/ijmra/v6-i5-34
Zulkifli, S. S., & Hamzah, H. (2024). Work Outcomes and Well-being Among Working Women: A Systematic Literature Review. Pertanika Journal of Social Sciences and Humanities, 32(2), 437–464. https://doi.org/10.47836/pjssh.32.2.05
DOI: https://doi.org/10.35445/alishlah.v17i4.8358
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