Journal
Novice Investors Intention To Use XBRL With Age, Gender, And Experience As Moderating Variables
Economic Education Analysis Journal · Vol. 10 No. 2 (2021) · pp. 372–380
- ISSN
- 2502-356X, 2252-6544
- Published
- 2021-05-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The purpose of this study was that novice investors could take the results of this study into consideration for using XBRL-based financial reports which were more flexible than ordinary financial reports. In this study, the behaviour of novice investors in using XBRL financial statements was tested by using the variable performance expectations and facility conditions from the Unified Theory of Acceptance and use of technology (UTAUT) model. The two variables were selected from UTAUT because it was stated that UTAUT was a technology acceptance testing model that was perfect than other technology acceptance models. The population in this study was millenials aged 19 to 28 years old, while the sample was 121. This study used a quantitative method whose data used purposive sampling and for collecting data using questionnaires. For statistical tools, we used WARP PLS for second-order testing and SPSS for the multiple regression. The research showed us that there was a tendency that performance expectations and facility conditions affected the intention of novice investors to use XBRL in processing required financial statement information.
Collaboration network of the authors
23 authors · 70 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ratieh Widhiastuti | Affiliation unknown | 2 |
| Ahmad Nurkhin | Affiliation unknown | 2 |
| Dhifah Amaliyah | Affiliation unknown | 1 |
| Ulfah Mediaty Arief | State University of Semarang | 1 |
| Sri Sukamta | Affiliation unknown | 1 |
| Talitha Widiatningrum | Affiliation unknown | 1 |
| Delano Hafis Afdam | Affiliation unknown | 1 |
| Andi Muhammad Dzulfikar | Affiliation unknown | 1 |
| Indah Novi Yarman | Affiliation unknown | 1 |
| Johanes Adi Prasetya | Affiliation unknown | 1 |
| Eko Nurcahya Dewi | Affiliation unknown | 1 |
| Tandiyo Rahayu | Affiliation unknown | 1 |
| Muhamad Rekhan Saefullah | Affiliation unknown | 1 |
| Sufa’Ah Hurumun Ni’am | Affiliation unknown | 1 |
| Nurdian Susilowati | Affiliation unknown | 1 |
| Amir Mahmud | Affiliation unknown | 1 |
| Muhsin Muhsin | Affiliation unknown | 1 |
| Hasan Mukhibad | Affiliation unknown | 1 |
| S Martono | Affiliation unknown | 1 |
| Anna Kania Widiatami | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.