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The Continuance Usage Intention of E-Government Services Based on Technology Continuance Theory Hunneman, Taufan; Napitupulu, Darmawan
Golden Ratio of Marketing and Applied Psychology of Business Vol. 5 No. 1 (2025): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmapb.v5i1.854

Abstract

The growing adoption of e-Government services, such as Satu Data Indonesia (SDI), requires a deeper understanding of factors that influence the long-term usage of these services. This study aims to explore the continuance usage intention of e-Government services by applying Technology Continuance Theory (TCT). The research examines the roles of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Satisfaction (SAT), and Attitude (ATT) in driving the sustained use of SDI. Data were collected through an online survey involving 175 respondents who have used the SDI platform. The findings reveal that while PU significantly influences both satisfaction and attitude, PEOU only affects PU and does not directly influence attitude. Furthermore, ATT is the strongest predictor of continuance intention (CI), with SAT indirectly influencing continuance intention through ATT. These results suggest that user retention depends more on developing positive attitudes through satisfying experiences rather than solely focusing on system usability or usefulness. The study provides valuable insights for policymakers and service developers to enhance e-Government services for sustained user engagement.
PENERAPAN KONSEP MATRIKS DALAM INPUT-OUTPUT TERHADAP PPERUBAHAN PERMINTAAN PADA SEKTOR PERTANIAN, INDUSTRI, DAN JASA setiawan, marshella aprillia; Cahya.P, Alsha Fiorensha; Crysanta, Gracyela; Akbari, Safitri; Setiawan, Fanny Andriani; Hunneman, Taufan
Jurnal Witana Vol 3 No 2 (2025)
Publisher : Jurnal Witana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Studi ini mengkaji bagaimana matriks model input-output dapat digunakan untuk menguji perubahan permintaan di bidang pertanian, industri, dan jasa. Tujuan dasar dari studi ini adalah untuk membedakan dampak perubahan umum terhadap hasil sektor-sektor tersebut dan untuk mengidentifikasi hubungan antar sektor dalam perekonomian.Matriks input-output digunakan untuk menghitung dampak langsung dan tidak langsung dari perubahan permintaan terhadap output industri yang diteliti. Hasil penelitian ini menunjukkan bahwa perubahan permintaan pada suatu industri dapat memberikan dampak yang signifikan terhadap industri lainnya, dengan dampak yang lebih besar pada sektor pertanian dan industri dibandingkan pada sektor jasa. Wawasan ini tidak hanya memberikan pelajaran penting dalam praktik pengembangan dan perbaikan strategi keuangan di bidang-bidang utama, namun juga membantu Anda berupaya menuju model kemajuan keuangan berbasis jaringan yang lebih tepat. Kajian ini dapat dijadikan referensi untuk memahami faktor moneter dan mendukung dinamika berbasis informasi terkait perubahan permintaan sektoral.Kata kunci:matriks input-output, perubahan permintaan, sektor pertanian, sektor industri, sektor jasa
The Continuance Usage Intention of E-Government Services Based on Technology Continuance Theory Hunneman, Taufan; Napitupulu, Darmawan
Golden Ratio of Marketing and Applied Psychology of Business Vol. 5 No. 1 (2025): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmapb.v5i1.854

Abstract

The growing adoption of e-Government services, such as Satu Data Indonesia (SDI), requires a deeper understanding of factors that influence the long-term usage of these services. This study aims to explore the continuance usage intention of e-Government services by applying Technology Continuance Theory (TCT). The research examines the roles of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Satisfaction (SAT), and Attitude (ATT) in driving the sustained use of SDI. Data were collected through an online survey involving 175 respondents who have used the SDI platform. The findings reveal that while PU significantly influences both satisfaction and attitude, PEOU only affects PU and does not directly influence attitude. Furthermore, ATT is the strongest predictor of continuance intention (CI), with SAT indirectly influencing continuance intention through ATT. These results suggest that user retention depends more on developing positive attitudes through satisfying experiences rather than solely focusing on system usability or usefulness. The study provides valuable insights for policymakers and service developers to enhance e-Government services for sustained user engagement.
Menjelajahi Faktor-Faktor Pendorong Niat Berkelanjutan untuk Menggunakan Layanan Pemerintah Seluler: Studi Kasus di Indonesia Hunneman, Taufan; Napitupulu, Darmawan
Jurnal Bina Praja Vol 17 No 3 (2025): [Sedang Berjalan]
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.17.2025-2766

Abstract

The sustained use of technology is pivotal for ensuring the enduring impact of innovations and improving the quality of services within organizations. The long-term success of Information System (IS)/Information Technology (IT) initiatives hinges not merely on their initial adoption but on their continued use. Therefore, understanding the factors that motivate users to consistently engage with new technologies is essential for evaluating the success and sustainability of such projects. Despite this importance, most research in this domain has primarily focused on user acceptance rather than continued usage. This study aims to bridge this gap by exploring how citizens’ perceptions of usefulness and satisfaction influence their intention to continue using mobile government services. A survey was conducted with 254 Indonesian citizens who had interacted with mobile government platforms. The analysis was performed using Partial Least Squares Structural Equation Modelling (PLS-SEM), with three primary constructs measured: perceived usefulness, satisfaction, and continuance intention to use m-government services. The R² value of the structural model indicates that 83.6% of the variation in continuance intention to use m-government services is explained by perceived usefulness and satisfaction. The findings reveal that perceived usefulness exerts a more substantial influence on continuance intention than satisfaction. The theoretical contribution of this study enhances the understanding of the factors influencing continued use within the context of m-government, while the practical contribution provides insights for policymakers to design more effective and engaging m-government services.