Digital government service quality research: A bibliometric analysis of scopus-indexed publications
Date Published:
25/07/2026
Online Published:
25/07/2026
Section:
Business Administration, Marketing, Commerce, and Tourism
Main Article Content
Abstract
Purpose - This study provides a bibliometric review of the literature on e-government and service quality to identify major research themes, influential contributors, intellectual structures, and emerging research directions.
Design/methodology/approach - Bibliometric analysis was conducted on Scopus-indexed publications published between 2001 and 2025. Performance analysis examined publication trends, citations, leading authors, journals, countries, and collaboration networks, while science mapping identified the conceptual, intellectual, and social structures of the field through co-citation, co-authorship, and keyword co-occurrence analyses.
Findings - Research on e-government and service quality has grown rapidly over the past decade. Three major knowledge clusters were identified, highlighting the evolution of the field from technology adoption toward digital transformation, governance, and citizen-centered service quality. The findings also reveal persistent disparities in digital public service quality between developed and developing countries and identify emerging research opportunities in digital governance, public value, and technology-enabled service delivery.
Originality/value - By integrating performance analysis with science mapping, this study offers a comprehensive overview of the intellectual evolution of e-government service quality research. It extends previous reviews by systematically mapping the field’s knowledge structure and identifying key research gaps and future directions.
Practical implications - The findings provide policymakers and public administrators with evidence-based insights to support the design, implementation, and evaluation of digital government initiatives aimed at improving the quality and effectiveness of online public services.
Social implications - The study contributes to the advancement of more transparent, inclusive, and citizen-centered digital public services, supporting sustainable public sector transformation and improved public trust.
Keywords
Bibliometric analysis; Digital government; Digital service quality; E-government; Online public service; Science mapping
Article Details
Field of Economic (JEL Codes)
L88 - Government Policy - Industry Studies: Services, M38 - Government Policy and Regulation - M39 - Other - Marketing and Advertising
References
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Alcaide Muñoz, L., Rodríguez Bolívar, M. P., & López-Hernández, A. M. (2017). Transparency in governments: a meta-analytic review of incentives for digital versus hard-copy public financial disclosures. The American Review of Public Administration, 47(5), 550-573. https://doi.org/10.1177/0275074016629008
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53(2015), 189-203. https://doi.org/10.1016/j.chb.2015.06.025
Almeida, G., Zouain, D. M., & Mahecha, Y. L. R. (2014). The status of e-government research: A bibliometric study. Business and Management Review, 3(11), 7-22.
Arias, M. I., Serra, F., Guerrazzi, L., & Ferreira, M. P. (2019). Intellectual foundations and mainstream research of e-government in public administration. Management Research: Journal of the Iberoamerican Academy of Management, 17(1), 89-115. https://doi.org/10.1108/MRJIAM-07-2018-0844
Baker, H. K., Kumar, S., & Pandey, N. (2020). A bibliometric analysis of Managerial
Finance: A retrospective. Managerial Finance, 46(11), 1495–1517. https://doi.org/10.1108/MF-06-2019-0277
Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2014). Trust transfer in the continued usage of public e-services. Information & Management, 51(6), 627-640. https://doi.org/10.1016/j.im.2014.05.016
Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
Chen, H., Tsang, Y. P., & Wu, C. H. (2023). When text mining meets science mapping in the bibliometric analysis: A review and future opportunities. International Journal of Engineering Business Management, 15(2). https://doi.org/10.1177/18479790231222349
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Desmal, A. J., Othman, M. K., Hamid, S., & Zolait, A. (2022). Exploring the information quality of mobile government services: a literature review. PeerJ Computer Science, 8. https://doi.org/10.7717/peerj-cs.1028
Dias, G. P. (2014). Bibliometric analysis of portuguese research in e-government. Procedia Technology, 16(2014), 279-287. https://doi.org/10.1016/j.protcy.2014.10.093
Dias, G. P. (2019). Fifteen years of e-government research in Ibero-America: A bibliometric analysis. Government Information Quarterly, 36(3), 400-411. https://doi.org/10.1016/j.giq.2019.05.008
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(C), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Elmatsani, H. M., Widianingsih, I., Nurasa, H., Munajat, M. E., & Suwanda, S. (2024). Exploring the evolution of leadership in government: a bibliometric study from e-government era into the digital age. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2414877
Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47-56. https://doi.org/10.1016/j.ijinfomgt.2009.03.013
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gilbert, D., Balestrini, P., & Littleboy, D. (2004). Barriers and benefits in the adoption of e‐government. International Journal of Public Sector Management, 17(4), 286-301. https://doi.org/10.1108/09513550410539794
Heeks, R., & Bailur, S. (2007). Analyzing e-government research: Perspectives, philosophies, theories, methods, and practice. Government Information Quarterly, 24(2), 243–265. https://doi.org/10.1016/j.giq.2006.06.005
Khan, M. A., Pattnaik, D., Ashraf, R., Ali, I., Kumar, S., & Donthu, N. (2021). Value of
special issues in the journal of business research: A bibliometric analysis. Journal of
Business Research, 125(C), 295–313. https://doi.org/10.1016/j.jbusres.2020.12.015
Layne, K., & Lee, J. (2001). Developing fully functional e-government: A four-stage model. Government information quarterly, 18(2), 122-136. https://doi.org/10.1016/S0740-624X(01)00066-1
Lee, J., Kim, H. J., & Ahn, M. J. (2011). The willingness of e-government service adoption by business users: The role of offline service quality and trust in technology. Government Information Quarterly, 28(2), 222-230. https://doi.org/10.1016/j.giq.2010.07.007
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3). https://doi.org/10.1016/j.im.2019.103197
Mohamed, E. S. A. E., & Mohammed, Dr. A. A. A. (2023). Quality evaluation of e-government services: A systematic literature sudan as a case study. International Journal of Computer Science and Network Security, 23(5), 95–108. https://doi.org/10.22937/IJCSNS.2023.23.5.12
Oliveira, G. H. M., & Welch, E. W. (2013). Social media use in local government: Linkage of technology, task, and organizational context. Government Information Quarterly, 30(4), 397-405. https://doi.org/10.1016/j.giq.2013.05.019
Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: an overview and a framework proposal. Review of Managerial Science, 18(11), 3333-3361. https://doi.org/10.1007/s11846-024-00738-0
Papadomichelaki, X., & Mentzas, G. (2012). e-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 29(1), 98-109. https://doi.org/10.1016/j.giq.2011.08.011
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233. https://doi.org/10.1177/1094670504271156
Paselle, E., Nurrahman, M. A., Taufik, M., & Fatmala, A. N. P. (2025). E-government and citizen participation: Enhancing public accountability through digital technology. International Journal for Science Review, 2(2), 1-11. https://doi.org/10.71364/ijfsr.v2i2.13
Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401
Radhakrishnan, S., Erbis, S., Isaacs, J. A, Kamarthi, S. (2017) Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLoS ONE, 12(3). https://doi.org/10.1371/journal.pone.0172778
Ramzy, M., & Ibrahim, B. (2024). The evolution of e-government research over two decades: Applying bibliometrics and science mapping analysis. Library Hi Tech, 42(1), 227-260. https://doi.org/10.1108/LHT-02-2022-0100
Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an e-government initiative: Validation of an integrated IS success model. Information Systems Frontiers, 17(1), 127-142. https://doi.org/10.1007/s10796-014-9504-7
Rawat, P. (2020). A systematic review of multiple terminologies for ICT in government: A mesh of concentric and overlapping circles. Bulletin of Science, Technology & Society, 40(1-2), 3-14. https://doi.org/10.1177/0270467620980
Rodríguez Bolívar, M. P., Alcaide Muñoz, L., & Lopez Hernandez, A. M. (2016). Scientometric study of the progress and development of e-government research during the period 2000–2012. Information Technology for Development, 22(1), 36-74. https://doi.org/10.1080/02681102.2014.927340
Sá, F., Rocha, Á., & Cota, M. P. (2016). From the quality of traditional services to the quality of local e-Government online services: A literature review. Government Information Quarterly, 33(1), 149-160. https://doi.org/10.1016/j.giq.2015.07.004
Sangki, J. (2018). Vision of future e-government via new e-government maturity model: Based on Korea's e-government practices. Telecommunications Policy, 42(10), 860-871. DOI:10.1016/j.telpol.2017.12.002
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253. https://doi.org/10.1287/isre.8.3.240
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17-35. https://doi.org/10.1016/j.giq.2010.05.006
Song, Y., Natori, T., & Yu, X. (2024). Tracing the evolution of E-Government: a visual bibliometric analysis from 2000 to 2023. Administrative Sciences, 14(7). https://doi.org/10.3390/admsci14070133
Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-Government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72(2015), 622-629. https://doi.org/10.1016/j.procs.2015.12.171
Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 37(1), 77-109. https://doi.org/10.25300/MISQ/2013/37.1.04
Teo, T. S., Srivastava, S. C., & Jiang, L. I. (2008). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303
Tremblay-Cantin, C. A., Mellouli, S., Cheikh-Ammar, M., & Khechine, H. (2023). E-government service adoption by citizens: A literature review and a high-level model of influential factors. Digital Government: Research and Practice, 4(1), 1-24. https://doi.org/10.1145/3580369
Tunger, D., & Eulerich, M. (2018). Bibliometric analysis of corporate governance
research in German-speaking countries: Applying bibliometrics to business research
using a custom-made database. Scientometrics, 117(3), 2041–2059. https://doi.org/10.1007/s11192-018-2919-z
van Raan, T. (2014). Advances in bibliometric analysis: Research performance assessment and science mapping. In W. Blockmans, L. Engwall, D. Weaire (Eds.), Bibliometrics: Use and abuse in the review of research performance (Vol 87, pp. 17-28). Portland Press.
Verdegem, P., & Verleye, G. (2009). User-centered e-government in practice: A comprehensive model for measuring user satisfaction. Government Information Quarterly, 26(3), 487-497. https://doi.org/10.1016/j.giq.2009.03.005
Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends
in the field of business and management: A bibliometric analysis approach. Journal
of Business Research, 118, 253–261. https://doi.org/10.1016/j.jbusres.2020.06.057
Wirtz, B. W., & Müller, W. M. (2019). An integrated artificial intelligence framework for public management. Public Management Review, 21(7), 1076–1100. https://doi.org/10.1080/14719037.2018.1549268
Wirtz, B. W., & Daiser, P. (2018). A meta-analysis of empirical e-government research and its future research implications. International Review of Administrative Sciences, 84(1), 153-172. https://doi.org/10.3917/risa.841.0153
Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government Information Quarterly, 24(3), 646-665. https://doi.org/10.1016/j.giq.2007.01.002
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through websites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375. https://doi.org/10.1177/009207002236911
Alcaide Muñoz, L., Rodríguez Bolívar, M. P., & López-Hernández, A. M. (2017). Transparency in governments: a meta-analytic review of incentives for digital versus hard-copy public financial disclosures. The American Review of Public Administration, 47(5), 550-573. https://doi.org/10.1177/0275074016629008
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53(2015), 189-203. https://doi.org/10.1016/j.chb.2015.06.025
Almeida, G., Zouain, D. M., & Mahecha, Y. L. R. (2014). The status of e-government research: A bibliometric study. Business and Management Review, 3(11), 7-22.
Arias, M. I., Serra, F., Guerrazzi, L., & Ferreira, M. P. (2019). Intellectual foundations and mainstream research of e-government in public administration. Management Research: Journal of the Iberoamerican Academy of Management, 17(1), 89-115. https://doi.org/10.1108/MRJIAM-07-2018-0844
Baker, H. K., Kumar, S., & Pandey, N. (2020). A bibliometric analysis of Managerial
Finance: A retrospective. Managerial Finance, 46(11), 1495–1517. https://doi.org/10.1108/MF-06-2019-0277
Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2014). Trust transfer in the continued usage of public e-services. Information & Management, 51(6), 627-640. https://doi.org/10.1016/j.im.2014.05.016
Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
Chen, H., Tsang, Y. P., & Wu, C. H. (2023). When text mining meets science mapping in the bibliometric analysis: A review and future opportunities. International Journal of Engineering Business Management, 15(2). https://doi.org/10.1177/18479790231222349
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Desmal, A. J., Othman, M. K., Hamid, S., & Zolait, A. (2022). Exploring the information quality of mobile government services: a literature review. PeerJ Computer Science, 8. https://doi.org/10.7717/peerj-cs.1028
Dias, G. P. (2014). Bibliometric analysis of portuguese research in e-government. Procedia Technology, 16(2014), 279-287. https://doi.org/10.1016/j.protcy.2014.10.093
Dias, G. P. (2019). Fifteen years of e-government research in Ibero-America: A bibliometric analysis. Government Information Quarterly, 36(3), 400-411. https://doi.org/10.1016/j.giq.2019.05.008
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(C), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Elmatsani, H. M., Widianingsih, I., Nurasa, H., Munajat, M. E., & Suwanda, S. (2024). Exploring the evolution of leadership in government: a bibliometric study from e-government era into the digital age. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2414877
Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47-56. https://doi.org/10.1016/j.ijinfomgt.2009.03.013
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gilbert, D., Balestrini, P., & Littleboy, D. (2004). Barriers and benefits in the adoption of e‐government. International Journal of Public Sector Management, 17(4), 286-301. https://doi.org/10.1108/09513550410539794
Heeks, R., & Bailur, S. (2007). Analyzing e-government research: Perspectives, philosophies, theories, methods, and practice. Government Information Quarterly, 24(2), 243–265. https://doi.org/10.1016/j.giq.2006.06.005
Khan, M. A., Pattnaik, D., Ashraf, R., Ali, I., Kumar, S., & Donthu, N. (2021). Value of
special issues in the journal of business research: A bibliometric analysis. Journal of
Business Research, 125(C), 295–313. https://doi.org/10.1016/j.jbusres.2020.12.015
Layne, K., & Lee, J. (2001). Developing fully functional e-government: A four-stage model. Government information quarterly, 18(2), 122-136. https://doi.org/10.1016/S0740-624X(01)00066-1
Lee, J., Kim, H. J., & Ahn, M. J. (2011). The willingness of e-government service adoption by business users: The role of offline service quality and trust in technology. Government Information Quarterly, 28(2), 222-230. https://doi.org/10.1016/j.giq.2010.07.007
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3). https://doi.org/10.1016/j.im.2019.103197
Mohamed, E. S. A. E., & Mohammed, Dr. A. A. A. (2023). Quality evaluation of e-government services: A systematic literature sudan as a case study. International Journal of Computer Science and Network Security, 23(5), 95–108. https://doi.org/10.22937/IJCSNS.2023.23.5.12
Oliveira, G. H. M., & Welch, E. W. (2013). Social media use in local government: Linkage of technology, task, and organizational context. Government Information Quarterly, 30(4), 397-405. https://doi.org/10.1016/j.giq.2013.05.019
Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: an overview and a framework proposal. Review of Managerial Science, 18(11), 3333-3361. https://doi.org/10.1007/s11846-024-00738-0
Papadomichelaki, X., & Mentzas, G. (2012). e-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 29(1), 98-109. https://doi.org/10.1016/j.giq.2011.08.011
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233. https://doi.org/10.1177/1094670504271156
Paselle, E., Nurrahman, M. A., Taufik, M., & Fatmala, A. N. P. (2025). E-government and citizen participation: Enhancing public accountability through digital technology. International Journal for Science Review, 2(2), 1-11. https://doi.org/10.71364/ijfsr.v2i2.13
Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401
Radhakrishnan, S., Erbis, S., Isaacs, J. A, Kamarthi, S. (2017) Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLoS ONE, 12(3). https://doi.org/10.1371/journal.pone.0172778
Ramzy, M., & Ibrahim, B. (2024). The evolution of e-government research over two decades: Applying bibliometrics and science mapping analysis. Library Hi Tech, 42(1), 227-260. https://doi.org/10.1108/LHT-02-2022-0100
Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an e-government initiative: Validation of an integrated IS success model. Information Systems Frontiers, 17(1), 127-142. https://doi.org/10.1007/s10796-014-9504-7
Rawat, P. (2020). A systematic review of multiple terminologies for ICT in government: A mesh of concentric and overlapping circles. Bulletin of Science, Technology & Society, 40(1-2), 3-14. https://doi.org/10.1177/0270467620980
Rodríguez Bolívar, M. P., Alcaide Muñoz, L., & Lopez Hernandez, A. M. (2016). Scientometric study of the progress and development of e-government research during the period 2000–2012. Information Technology for Development, 22(1), 36-74. https://doi.org/10.1080/02681102.2014.927340
Sá, F., Rocha, Á., & Cota, M. P. (2016). From the quality of traditional services to the quality of local e-Government online services: A literature review. Government Information Quarterly, 33(1), 149-160. https://doi.org/10.1016/j.giq.2015.07.004
Sangki, J. (2018). Vision of future e-government via new e-government maturity model: Based on Korea's e-government practices. Telecommunications Policy, 42(10), 860-871. DOI:10.1016/j.telpol.2017.12.002
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253. https://doi.org/10.1287/isre.8.3.240
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17-35. https://doi.org/10.1016/j.giq.2010.05.006
Song, Y., Natori, T., & Yu, X. (2024). Tracing the evolution of E-Government: a visual bibliometric analysis from 2000 to 2023. Administrative Sciences, 14(7). https://doi.org/10.3390/admsci14070133
Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-Government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72(2015), 622-629. https://doi.org/10.1016/j.procs.2015.12.171
Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 37(1), 77-109. https://doi.org/10.25300/MISQ/2013/37.1.04
Teo, T. S., Srivastava, S. C., & Jiang, L. I. (2008). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303
Tremblay-Cantin, C. A., Mellouli, S., Cheikh-Ammar, M., & Khechine, H. (2023). E-government service adoption by citizens: A literature review and a high-level model of influential factors. Digital Government: Research and Practice, 4(1), 1-24. https://doi.org/10.1145/3580369
Tunger, D., & Eulerich, M. (2018). Bibliometric analysis of corporate governance
research in German-speaking countries: Applying bibliometrics to business research
using a custom-made database. Scientometrics, 117(3), 2041–2059. https://doi.org/10.1007/s11192-018-2919-z
van Raan, T. (2014). Advances in bibliometric analysis: Research performance assessment and science mapping. In W. Blockmans, L. Engwall, D. Weaire (Eds.), Bibliometrics: Use and abuse in the review of research performance (Vol 87, pp. 17-28). Portland Press.
Verdegem, P., & Verleye, G. (2009). User-centered e-government in practice: A comprehensive model for measuring user satisfaction. Government Information Quarterly, 26(3), 487-497. https://doi.org/10.1016/j.giq.2009.03.005
Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends
in the field of business and management: A bibliometric analysis approach. Journal
of Business Research, 118, 253–261. https://doi.org/10.1016/j.jbusres.2020.06.057
Wirtz, B. W., & Müller, W. M. (2019). An integrated artificial intelligence framework for public management. Public Management Review, 21(7), 1076–1100. https://doi.org/10.1080/14719037.2018.1549268
Wirtz, B. W., & Daiser, P. (2018). A meta-analysis of empirical e-government research and its future research implications. International Review of Administrative Sciences, 84(1), 153-172. https://doi.org/10.3917/risa.841.0153
Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government Information Quarterly, 24(3), 646-665. https://doi.org/10.1016/j.giq.2007.01.002
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How to Cite
Du , T. C., & Nguyen, N. B. T. (2026). Digital government service quality research: A bibliometric analysis of scopus-indexed publications. Journal of Finance - Marketing Research, 4(3en), 58-69. https://doi.org/10.52932/jfmr.v4i3en.1082