The effect of implementation and data quality on continuance intention in using the Sistem Informasi Penilaian (SIP DJKN), mediated by service quality
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Abstract
The implementation of Sistem Informasi Penilaian (SIP - DJKN) has intensified the need for public organizations to strengthen employee performance through digital adaptation and effective leadership practices for increase public services. The research adopts a quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data were collected from 103 respondents, consisting of employees within the Directorate General of State Assets (DJKN) and related stakeholders through Purposive sampling using structured questionnaires with Likertscale measurements. The findings indicate that both system implementation and data quality positively and significantly influence continuance intention. Furthermore, service quality plays a critical mediating role in strengthening these relationships. The results highlight the importance of improving service responsiveness and ensuring high-quality data to sustain long-term system adoption in public sector digital transformation. This study contributes to the literature by confirming the importance of service quality as a mediator in public sector digital systems
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How to Cite
Sairin, . S., Abadi, Y. B. . and Azizah, S. N. . (2026) “The effect of implementation and data quality on continuance intention in using the Sistem Informasi Penilaian (SIP DJKN), mediated by service quality ”, Jurnal Mantik, 10(2), pp. 459-468. doi: 10.35335/mantik.v10i2.7251.
References
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Wang, T. C. (2023). Exploring the role of data quality in user satisfaction and continuance intention of digital learning platforms. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2023.2195478.
Wijayanti, L. &. (2022). Efficiency of digital systems and user satisfaction in the public sector. Journal of Digital Transformation. Journal of Digital Transformation, 7(1), 12–25.
Yang, Z. L. (2022). Understanding continuance intention in online learning: The role of satisfaction, confirmation, and perceived usefulness. Interactive Learning Environments, 30(7), 1–15. https://doi.org/10.1080/10494820.2022.2071193.
Zhang, X. G. (2020). Understanding gender differences in m?health adoption: A modified theory of reasoned action model. Telematics and Informatics, 49, 101362. https://doi.org/10.1016/j.tele.2020.101362.
Al Maazmi, A. &. (2024). Exploring the critical success factors influencing digital transformation in government organization. Systems, 12(12), 524. https://doi.org/10.3390/systems12120524.
Aljaraideh, Y. (2019). The impact of system quality and information quality on e-learning system use and user satisfaction. Modern Applied Science, 13(8), 141–153. https://doi.org/10.5539/mas.v13n8p141.
Al-Saedi, K. A.-E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, 101293. https://doi.org/10.1016/j.techsoc.2020.101293.
Bhattacherjee, A. &. (2022). A unified model of IT continuance: Three complementary perspectives and crossover effects. Information & Management, 59(5), 103655. https://doi.org/10.1016/j.im.2022.103655.
Bhattacherjee, A. (2023). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 27(3), 351-370. https://doi.org/10.2307/30036530.
Chen, X. H. (2021). How does digital transformation impact organizational resilience? The mediating role of information quality. . Information Systems Journal, 31(5), 682–707. https://doi.org/10.1111/isj.12315.
DeLone, W. H. (2016). Information systems success measurement. Foundations and Trends in Information Systems, 2(1), 1–116. https://doi.org/10.1561/2900000005.
DeLone, W. H. (2016). Information systems success measurement. Foundations and Trends in Information Systems. https://doi.org/10.1561/2900000005.
Directorate of Valuation, D. G. (2025). Dissemination of the user manual for the SIP DJKN application. Jakarta: Internal Document.
Hidayat, F. &. (2023). The influence of data quality and service quality on new system adoption. Journal of Information Technology and Public Service, 15(4), 203–219. https://doi.org/10.2345/jtip.2023.15.4.203.
Huang, C. D. (2022). User experience and continuance intention in mobile payment: An expectation–confirmation perspective. Information Systems Frontiers, 24(3), 839–856. https://doi.org/10.1007/s10796-021-10148-0.
Kim, S. &. (2021). The effects of quality antecedents on user satisfaction and continuance intention in mobile payment services. Telematics and Informatics, 59, 101561. https://doi.org/10.1016/j.tele.2020.101561.
Liu, D. &. (2022). Linking system quality, user satisfaction, and continuance intention in digital government services: The role of confirmation. . Government Information Quarterly, 39(4), 101726. https://doi.org/10.1016/j.giq.2022.101726.
Luo, C. Z. (2024). Exploring satisfaction and trust as key drivers of e-government continuance intention to use. Sustainability, 16(24), 11068. https://doi.org/10.3390/su162411068.
Oktavia, N. &. (2025). The synergy of data quality and service quality as determinants of intention to use digital systems in public institutions. Journal of Information Management, 18(1), 33–48. https://doi.org/10.3456/jmi.2025.18.1.033.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499.
Park, E. L. (2025). Understanding continuous intention to use e-government services: Integration of expectation-confirmation theory and technology acceptance theory. Government Information Quarterly, 42(1), 101-115. https://doi.org/10.1016/j.giq.2024.101115.
Park, E. L. (2025). Understanding continuous intention to use e-government services: Integration of expectation-confirmation theory and technology acceptance theory. Government Information Quarterly, 42(1), 101-115. https://doi.org/10.1016/j.giq.2024.101115.
Prasad, P. W. (2021). Factors influencing user satisfaction and continuance intention with e-learning systems in higher education. Education and Information Technologies, 26(6), 7321–7343. https://doi.org/10.1007/s10639-021-10512-9.
Putra, A. &. (2022). Data quality as a driver of intention to use government information systems. Journal of Computer Science and Information Systems, 11(3), 150–165. https://doi.org/10.3412/jiksi.2022.113150.
Wang, T. C. (2023). Exploring the role of data quality in user satisfaction and continuance intention of digital learning platforms. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2023.2195478.
Wang, T. C. (2023). Exploring the role of data quality in user satisfaction and continuance intention of digital learning platforms. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2023.2195478.
Wijayanti, L. &. (2022). Efficiency of digital systems and user satisfaction in the public sector. Journal of Digital Transformation. Journal of Digital Transformation, 7(1), 12–25.
Yang, Z. L. (2022). Understanding continuance intention in online learning: The role of satisfaction, confirmation, and perceived usefulness. Interactive Learning Environments, 30(7), 1–15. https://doi.org/10.1080/10494820.2022.2071193.
Zhang, X. G. (2020). Understanding gender differences in m?health adoption: A modified theory of reasoned action model. Telematics and Informatics, 49, 101362. https://doi.org/10.1016/j.tele.2020.101362.
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