Author
Listed:
- Via Sarsadilla
(Polytechnic of State Finance STAN, Indonesia)
- Fadlil Usman
(Polytechnic of State Finance STAN, Indonesia)
Abstract
This research used a combined approach between economic and behavioral approaches to analyze tax compliance, known as Slippery Slope Framework. This framework stated that there are two important factors that affect tax compliance in paying taxes and carrying out their tax obligations, those two factors are taxpayer trust on tax authority and the power of tax authority. The “slippery slope” framework assumes that economic determinants of tax behavior represent authorities’ power, which leads to enforced tax compliance. On the other hand, psychological determinants lead to trust in authorities and also to voluntary tax compliance. The purpose of this research is to analyze the level of compliance of individual taxpayers when it is associated with factors that affect the level of tax compliance based on the slippery slope framework approach. The data set of the research was obtained from the survey to individual taxpayers using accidental sampling technique. The results of this research indicate that taxpayers have very good trust in the tax authorities and most taxpayers agree with the statement that trust in tax authorities affects taxpayer compliance. Based on that trust, taxpayers carry out their tax obligation voluntarily. Meanwhile, the results on the power of the tax authority show that the power of the tax authority has a neutral influence on taxpayer compliance. Based on these results, it can be concluded that the taxpayer trust factor is a factor that greatly influences taxpayer compliance in carrying out their tax obligations.
Suggested Citation
Via Sarsadilla & Fadlil Usman, 2023.
"Review of Personal Taxpayer's Compliance Level with Slippery Slope Framework Approach,"
European Journal of Business and Management Research, European Open Science, vol. 8(1), pages 231-235, January.
Handle:
RePEc:epw:ejbmr0:v:8:y:2023:i:1:id:51764
DOI: 10.24018/ejbmr.2023.8.1.1764
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejbmr0:v:8:y:2023:i:1:id:51764. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.