Hunneman, Taufan
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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

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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.