Factors Affecting Community's Intention to Use Lestari Applications Through the Umega Model

Yulius Yohanes; Elyta Elyta; Zulkarnaen Zulkarnaen; Cahyadi Kurniawan

doi:10.33366/rfr.v13i2.4935

Factors Affecting Community's Intention to Use Lestari Applications Through the Umega Model

Yulius Yohanes, Elyta Elyta, Zulkarnaen Zulkarnaen, Cahyadi Kurniawan

Abstract

This study's goal is to utilize the UMEGA model to examine the factors influencing people's tendency to use the NTB Lestari Application. The framework model for this study. this study examines how much the UMEGA variable affects users of the NTB Sustainable Application's level of quantitative behavioural intention. A quantitative approach was used for this study's methodology. The framework model for this study was the Unification Model of Information Technology Act Deployment or UMEGA. A quantitative approach was used for this study's methodology. The primary data came from a survey consisting of a questionnaire completed by 92 individuals in total. Using the SmartPLS 3.0 program, the Partial Least Square (PLS) approach was used for data analysis. According to the findings of the research, 1) Performance Expectations influence Attitudes, 2) Business Expectations influence Attitudes, 3) Social Influences influence Attitudes, 4) Facility Conditions influence Business Expectations, 5) Attitudes influence Behavioral Intentions (e-government), 6) Facility Conditions have no effect on Behavioral Intentions, and 7) Perceived Risk has no effect on Attitudes. It is necessary to increase public awareness about the safety of the NTB Sustainable Application and network infrastructure, and this must be done in a way that is convincing to the general public and visitors.

Abstrak

Tujuan dari penelitian ini adalah untuk menyelidiki unsur-unsur yang mempengaruhi kecenderungan masyarakat untuk menggunakan Aplikasi Lestari NTB dengan menggunakan model UMEGA. Secara khusus, penelitian ini bertujuan untuk menyelidiki sejauh mana variabel UMEGA berdampak pada tingkat niat perilaku kuantitatif yang ditunjukkan oleh pengguna Aplikasi Berkelanjutan NTB. Pendekatan kuantitatif digunakan untuk metodologi penelitian ini. The Unified Model of Electronic Government Adoption atau sering dikenal dengan UMEGA merupakan model kerangka kerja yang digunakan dalam penelitian ini. Pendekatan kuantitatif digunakan untuk metodologi penelitian ini. Data primer berasal dari survei yang terdiri dari kuesioner yang diisi oleh 92 orang secara total. Analisis data dilakukan dengan metode Partial Least Square (PLS) dengan menggunakan aplikasi SmartPLS 3.0. Menurut temuan penelitian, 1) Ekspektasi Kinerja mempengaruhi Sikap, 2) Ekspektasi Bisnis mempengaruhi Sikap, 3) Pengaruh Sosial mempengaruhi Sikap, 4) Kondisi Fasilitas mempengaruhi Ekspektasi Bisnis, 5) Sikap mempengaruhi Niat Perilaku (e-government), 6 ) Kondisi Fasilitas tidak berpengaruh terhadap Niat Perilaku, dan 7) Persepsi Risiko tidak berpengaruh terhadap Sikap. Perlu adanya peningkatan kesadaran masyarakat tentang keamanan Aplikasi Berkelanjutan NTB dan infrastruktur jaringan, dan hal ini harus dilakukan dengan cara yang meyakinkan bagi masyarakat umum dan pengunjung.

Keywords

Electronic Government; Umega; Lestari Applications; Zero Waste

Full Text:

PDF

References

Almaiah, M. A., & Nasereddin, Y. (2020). Factors influencing the adoption of e-government services among Jordanian citizens. Electronic Government, 16(3), 236–259. https://doi.org/10.1504/EG.2020.108453

Al-Obthani, F., & Ameen, A. (2019). Influence of overall quality and innovativeness on actual usage of smart government: An empirical study on the UAE public sector. International Journal on Emerging Technologies, 10(1), 141–146.

Amanbek, Y., et al. (2020). Adoption of e-Government in the Republic of Kazakhstan. Journal of Open Innovation: Technology, Market, and Complexity, 6(3). https://doi.org/10.3390/joitmc6030046

Ameen, A.,et al. (2019). The Influence of Knowledge Management on the Smart Government Effectiveness: An Empirical Study in UAE Related papers Impact of Int ernal Government Efficiency and Service Delivery Infrast ruct ure on t he Smart G… ional Leadership and Transact ional Lead. International Journal on Emerging Technologies, 10(1a), 105–114.

Androniceanu, A., et al. (2020). E-government clusters in the eu based on the gaussian mixture models. Administratie Si Management Public, 2020(35), 6–20. https://doi.org/10.24818/amp/2020.35-01

Anthopoulos, L., et al. (2016). A Unified Smart City Model (USCM) for smart city conceptualization and benchmarking. International Journal of Electronic Government Research, 12(2), 77–93. https://doi.org/10.4018/IJEGR.2016040105

Astrid, R. R. K., et al. (2020). Factors that Influence E-Government Utilizing Towards E-Report Application ( Case Study : Comparasion between Lapor Sleman and Jogja Smart Service ( JSS ) In 2018 ). In KKU International Journal of Humanities and Social Sciences (Vol. 10, Issue 1, pp. 1–25).

Dias, G. P. (2020). Determinants of e-government implementation at the local level: an empirical model. Online Information Review, 44(7), 1307–1326. https://doi.org/10.1108/OIR-04-2020-0148

Dwivedi, Y. K., et al. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211-230. https://doi.org/10.1016/j.giq.2017.03.001

Faqih, K. M. S. (2016). Which Is More Important in E-Learning Adoption, Perceived Value or Perceived Usefulness? Examining the Moderating ‏. E-Proceeding of the 4th Global Summit on Education 2016, 2016(March), 372–398.

Iqbal, M., et al. (2020). Factors affecting the citizen to use e-report application in Gunungkidul Regency. Smart Cities and Regional Development Journal, 4(2), 27–39.

Kankanhalli, A., et al. (2019). IoT and AI for Smart Government: A Research Agenda. Government Information Quarterly, 36(2), 304–309. https://doi.org/10.1016/j.giq.2019.02.003

Kassen, M. (2022). Blockchain and e-government innovation: Automation of public information processes. Information Systems, 103. https://doi.org/10.1016/j.is.2021.101862

Kurniawan, C., et al. (2022). Measuring Smart City Implementation to Improve the Quality of Public Services in Jambi City. Ijair.Id, 0(1). https://doi.org/10.29099/ijair.v6i1.405

Kurniawan, C., et al. (2023). Sustainable tourism development strategy in West Nusa Tenggara province, Indonesia. IOP Conference Series: Earth and Environmental Science, 1129(1), 012022. https://doi.org/10.1088/1755-1315/1129/1/012022

Kurniawan, C., & Suswanta, S. (2022). Implementation of Artificial Intelligence by the Government of West Nusa Tenggara (NTB) in Disaster Management. International Conference on Public Organization (ICONPO 2021), 209(Iconpo 2021), 39–44.

Lee-Geiller, S., & Lee, T. (David). (2019). Using government websites to enhance democratic E-governance: A conceptual model for evaluation. Government Information Quarterly, 36(2), 208–225. https://doi.org/10.1016/j.giq.2019.01.003

Manoharan, A. P., & Ingrams, A. (2018). Conceptualizing E-Government from Local Government Perspectives. State and Local Government Review, 50(1), 56–66. https://doi.org/10.1177/0160323x18763964

Mensah, I. K. (2019). Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China. SAGE Open, 9(2). https://doi.org/10.1177/2158244019855823

Mensah, I. K. (2020). Impact of Government Capacity and E-Government Performance on the Adoption of E-Government Services. International Journal of Public Administration, 43(4), 303–311. https://doi.org/10.1080/01900692.2019.1628059

Mensah, I. K., et al. (2020). E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption. SAGE Open, 10(2). https://doi.org/10.1177/2158244020933593

Michelucci, F. V., & De Marco, A. (2017). Smart communities inside local governments: a pie in the sky? International Journal of Public Sector Management, 30(1), 2–14. https://doi.org/10.1108/IJPSM-03-2016-0059

Mikryukov, V. O., et al. (2020). About the Impact of The Concept Of E-Government on Modern Education in Russia. SHS Web of Conferences, 79, 01007. https://doi.org/10.1051/shsconf/20207901007

Padeiro, M., et al. (2021). Local governments’ use of social media during the COVID-19 pandemic: The case of Portugal. Government Information Quarterly, 38(4). https://doi.org/10.1016/j.giq.2021.101620

Pratiwi, E., & Muslihudin, M. (2018). Implementasi E-Goverment Sebagai Upaya Peningkatan Potensi Desa Di Desa Bumirejo Menggunakan Web Mobile. Technology Acceptance Model, 9(1), 22–29.

Pribadi, U., & Iqbal, M. (2022). Electronic Government in Social Sciences: A Literature Review. Social Science Asia, 8(3), 85–102.

Santa, R., et al. (2019). The role of trust in e-Government effectiveness, operational effectiveness and user satisfaction: Lessons from Saudi Arabia in e-G2B. Government Information Quarterly, 36(1), 39–50. https://doi.org/10.1016/j.giq.2018.10.007

Smirnova, N. (2020). E-government and social media in Ukraine: global challenges for legal regulations. Lex Portus, 1(21), 69–84. https://doi.org/10.26886/2524-101X.1.2020.5

Suluh, D., et al. (2022). An Analysis of Barriers to E-government. Nakhoda: Jurnal Ilmu Pemerintahan, 21(1), 95–106. https://doi.org/10.35967/njip.v21i1.336

Sutopo, B., et al. (2017). E-government, audit opinion, and performance of local government administration in Indonesia. Australasian Accounting, Business and Finance Journal, 11(4), 6–22. https://doi.org/10.14453/aabfj.v11i4.2

Wukich, C. (2021). Government Social Media Engagement Strategies and Public Roles. Public Performance and Management Review, 44(1), 187–215. https://doi.org/10.1080/15309576.2020.1851266

DOI: https://doi.org/10.33366/rfr.v13i2.4935

Abstract - Print this article - Indexing metadata - How to cite item - Finding References Review policy - Email this article (Login required) - Email the author (Login required)