Social Constructs in Predicting Corruptive Attitudes and Behavior from the Theory of Planned Behavior Perspective

Zulaikha, Paulus T. Basuki Hadiprajitno and Muhammad Ihlasul Amal

International Journal of Economics & Business Administration (IJEBA), 2019, vol. VII, issue 4, 384-394

Abstract: Purpose: This research examines the attitude and behavior of corruption/fraud using the social construct, the theory of fraud triangle, Theory of Planned Behavior, and social psychology. Design/methodology/approach: The quantitative approach in this study was carried out by collecting survey data using a questionnaire instrument directly applied to 400 respondents in some cities in Indonesia. The analysis is conducted with SPSS, Wrap-PLS and Structural Equation Models (SEM). Findings: The results show that the attitude and corrupt behavior of the community can be influenced by the existence of social values in the form of community habits and community mindset that is reflected in the social construct variables. Practical implications: The study underlines the importance of corruption eradication, especially in public services and public education to avoid corrupt behavior. Originality/value: The examination was done by paying more attention to the possible effect of social construction on attitudes, subjective norms, and control of individual or group behavior, which in turn affect the intention to commit corruption.

Keywords: Theory of planned behavior; social construct; opportunity; pressure; corruption. (search for similar items in EconPapers)
JEL-codes: G34 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ijeba.com/journal/351/download (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ers:ijebaa:v:vii:y:2019:i:4:p:384-394

Access Statistics for this article

More articles in International Journal of Economics & Business Administration (IJEBA) from International Journal of Economics & Business Administration (IJEBA)
Bibliographic data for series maintained by Marios Agiomavritis ().