BEHAVIOURAL ANALYSIS IN THE VILLAGE FUND SYSTEM USING THE UTAUT METHOD

Authors

  • Khoirul Fuad Sultan Agung Islamic University image/svg+xml
  • Nurrokhmahwati Nurrokhmahwati Sultan Agung Islamic University image/svg+xml
  • Retno Tri Handayani Universitas Muria Kudus

DOI:

https://doi.org/10.30659/ijibe.6.1.68-78

Keywords:

Unified Theory of Acceptance and Use of Technology (UTAUT), village fund system (Siskeudes), behavior

Abstract

The information system aims to simplify, accelerate, and be responsible. The behavior in the use of technology is an essential part of achieving good village financial management using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach. The population of this research is all village government offices in Tegal Regency. This research is a quantitative study with primary data and a convenience sampling method. This research sample is village apparatus that is directly related to the village fund system (SISKEUDES). Meanwhile, the data analysis of this study uses SPSS software. The test results show that performance expectations negatively affect business expectations, social influences, and conditions that facilitate a positive and significant impact.

References

Abbas, Sayyed Khawar, Hafiz Ali Hassan, Jawad Asif, Bilal Ahmed, Fahad Hassan, and Syed Salman Haider. 2018. “Integration of TTF, UTAUT, and ITM for Mobile Banking Adoption.†International Journal of Advanced Engineering, Management and Science 4 (5): 375–79. https://doi.org/10.22161/ijaems.4.5.6.

Alshehri, Mohammed, Steve Drew, Thamer Alhussain, and Rayed Alghamdi. 2012. “The Effects of Website Quality on Adoption of E-Government Service: An Empirical Study Applying UTAUT Model Using SEM.†ACIS 2012 : Proceedings of the 23rd Australasian Conference on Information Systems, no. November.

Alwahaishi, Saleh, and Václav Snášel. 2013. “Consumers ’ Acceptance and Use of Information and Communications Technology : A UTAUT and Flow Based Theoretical Model Consumers ’ Acceptance and Use of Information and Communications Technology : A UTAUT and Flow Based Theoretical Model,†no. May. https://doi.org/10.4067/S0718-27242013000200005.

Andriyanto, Dicky, and Imam Subekti , Zaki Baridwan. 2019. “Jumal Dinamika Akuntansi Dan Bisnis†6 (2): 151–70.

Andriyanto, Dicky, Zaki Baridwan, and Imam Subekti. 2019. “Anteseden Perilaku Penggunaan E-Budgeting : Kasus Sistem Informasi Keuangan Desa Di Banyuwangi , Indonesia.†Kasus Sistem Informasi Keuangan Desa Di Banyuwangi , Indonesia 6 (2): 151–70.

Ardiansyah, Ryan, and Dea Diella. 2019. “Implementasi E-Learning Berbasis Assessment For Learning Untuk Meningkatkan Performa Belajar Mahasiswa.†BIOSFER : Jurnal Biologi Dan Pendidikan Biologi 3 (1). https://doi.org/10.23969/biosfer.v3i2.1292.

BPKP, Pusdiklatwas. 2016. “BUKU KERJA Aplikasi Sistem Keuangan Desa (SISKEUDES).â€

Cao, Qian, and Xiaofei Niu. 2019. “International Journal of Industrial Ergonomics Integrating Context-Awareness and UTAUT to Explain Alipay User Adoption.†International Journal of Industrial Ergonomics 69 (October 2017): 9–13. https://doi.org/10.1016/j.ergon.2018.09.004.

Davis, Fred, Richard Bagozzi, and Paul Warshaw. 1989. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.†Management Science 35 (August): 982–1003. https://doi.org/10.1287/mnsc.35.8.982.

Fishbein dan Ajzen, hal. 216. 1975. “Belief Formation.†Encyclopedia of the Sciences of Learning. https://doi.org/10.1007/978-1-4419-1428-6_376.

Haryono, S. 2015. “Petunjuk Praktikum Smart-PLS,†no. Ml: 1–13. http://repository.umy.ac.id/bitstream/handle/123456789/2639/Modul Pelatihan PLS.Bag.1.pdf?sequence=2&isAllowed=y.

Jewer, Jennifer. 2018. “International Journal of Medical Informatics Patients ’ Intention to Use Online Postings of ED Wait Times : A Modi Fi Ed UTAUT Model†112 (December 2017): 34–39. https://doi.org/10.1016/j.ijmedinf.2018.01.008.

Kripanont, Napaporn. 2007. “Examining a Technology Acceptance Model of Internet Usage by Academics within Thai Business Schools.â€

Kurfalı, Murathan, Ali Arifoğlu, Gül Tokdemir, and Yudum Paçin. 2017. “Adoption of E-Government Services in Turkey.†Computers in Human Behavior 66: 168–78. https://doi.org/10.1016/j.chb.2016.09.041.

Lin, Hsiu Fen. 2011. “An Empirical Investigation of Mobile Banking Adoption: The Effect of Innovation Attributes and Knowledge-Based Trust.†International Journal of Information Management 31 (3): 252–60. https://doi.org/10.1016/j.ijinfomgt.2010.07.006.

Mardiana, Siti, Jann H. Tjakraatmadja, and Atik Aprianingsih. 2015. “DeLone-Mclean Information System Success Model Revisited: The Separation of Intention to Use - Use and the Integration of Technology Acceptance Models.†International Journal of Economics and Financial Issues 5: 172–82.

Min, Qingfei, Shaobo Ji, and Gang Qu. 2008. “Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model.†Tsinghua Science and Technology 13 (3): 257–64. https://doi.org/10.1016/S1007-0214(08)70042-7.

Parameswaran, Srikanth, Rajiv Kishore, and Pu Li. 2015. “Within-Study Measurement Invariance of the UTAUT Instrument: An Assessment with User Technology Engagement Variables.†Information and Management 52 (3): 317–36. https://doi.org/10.1016/j.im.2014.12.007.

Ramadhanny, Ratih Kurnia. 2018. “Inovasi Tata Kelola Keuangan Pemerintah Desa : Electronic Village Budgeting ( E-Village Budgeting ) Untuk Menciptakan Good Governance Di Kabupaten Banyuwangi,†no. 6.

Sharma, Rashmini, Gurmeet Singh, and Shavneet. 2020. “Modelling Internet Banking Adoption in Fiji: A Developing Country Perspective.†International Journal of Information Management 53 (June 2019): 102116. https://doi.org/10.1016/j.ijinfomgt.2020.102116.

sugiyono. 2019. Metode Penellitian Kuantitatif Kualitatid Dan R&d. Edited by sutopo. 1st ed. bandung: alfabeta.

Tarhini, Ali, Kate Hone, and Xiaohui Liu. 2014. “Measuring the Moderating Effect of Gender and Age on E-Learning Acceptance in England: A Structural Equation Modeling Approach for an Extended Technology Acceptance Model.†Journal of Educational Computing Research 51 (2): 163–84. https://doi.org/10.2190/EC.51.2.b.

Thompson, Ronald L., Christopher A. Higgins, and Jane M. Howell. 1991. “Personal Computing: Toward a Conceptual Model of Utilization.†MIS Quarterly: Management Information Systems 15 (1): 125–42. https://doi.org/10.2307/249443.

Trybou, Jeroen. 2017. “Performance Expectancy , Effort Expectancy and Social Influence as Factors Predicting The Acceptance of (Non-) Fluoroscopy-Guided Positioning For Radiographs, and The Relationship With Leadership.†Universiteit Gent Masterproef 1 (1): 2016–17.

Venkatesh, Viswanath, and Fred D. Davis. 2000. “Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.†Management Science 46 (2): 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.

Venkatesh, Viswanath, and Robert H. 2003. “Angiogenesis Induced by Mast Cell Secretion in Rat Peritoneal Connective Tissue Is a Process of Three Phases.†Microvascular Research 47 (2): 252–69. https://doi.org/10.1006/mvre.1994.1019.

Viswanath Venkatesh Robert H. 2003. “Unusual Formations of Superoxo Heptaoxomolybdates from Peroxo Molybdates.†Inorganic Chemistry Communications 67 (3): 95–98. https://doi.org/10.1016/j.inoche.2016.03.015.

Downloads

Published

2021-03-31

Issue

Vol. 6 No. 1 (2021): March 2021

Section

Articles

License

License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
  • They are authorized by their co-authors to enter into these arrangements.
  • The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.
Copyright
Authors who publish with IJIBE agree to the following terms:
  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
IJIBE uses a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.

Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.

This work is licensed under a Creative Commons Attribution 4.0 International License.