Abstract
examine what factors influence the “successful” performance of this bribery practice. Our study makes a twofold contribution to existing research on corruption. First, on the theoretical level, we show that the typified and scripted character of social interactions can help explain corrupt transactions. Second, on the methodological level, our study demonstrates the usefulness of online self-reports as a non-reactive data source to observe corrupt transactions.
| Original language | English |
|---|---|
| Publication date | 2016 |
| Number of pages | 41 |
| Publication status | Published - 2016 |
| Event | 40. Workshop der WK ORG 2016 - Universität Zürich, Zürich , Switzerland Duration: 18 Feb 2016 → 19 Feb 2016 Conference number: 40 http://org.vhbonline.org/wk-org-workshop-2016/ |
Conference
| Conference | 40. Workshop der WK ORG 2016 |
|---|---|
| Number | 40 |
| Location | Universität Zürich |
| Country | Switzerland |
| City | Zürich |
| Period | 18/02/2016 → 19/02/2016 |
| Internet address |
Bibliographical note
CBS Library does not have access to the materialKeywords
- Business ethics
- Bribery
- Codes of conduct
- Corruption
- Online media
- Social interactions
Cite this
}
Goffman’s Return to Las Vegas : Studying Corruption as Social Interaction. / Schoeneborn, Dennis; Homberg, Fabian.
2016. Paper presented at 40. Workshop der WK ORG 2016, Zürich , Switzerland.Research output: Contribution to conference › Paper › Research › peer-review
TY - CONF
T1 - Goffman’s Return to Las Vegas
T2 - Studying Corruption as Social Interaction
AU - Schoeneborn, Dennis
AU - Homberg, Fabian
N1 - CBS Library does not have access to the material
PY - 2016
Y1 - 2016
N2 - In this paper, we argue that corruption research can benefit from studying corrupt transactions as a particular form of social interaction. We showcase the fruitfulness of a social interaction lens by investigating user reports on the online website Frontdesktip.com, where users share experiences and tips on the best ways of bribing hotel clerks in Las Vegas in exchange for free room upgrades and complimentary extras. We employ a logistic regression analysis to examine what factors influence the “successful” performance of this bribery practice. Our study makes a twofold contribution to existing research on corruption. First, on the theoretical level, we show that the typified and scripted character of social interactions can help explain corrupt transactions. Second, on the methodological level, our study demonstrates the usefulness of online self-reports as a non-reactive data source to observe corrupt transactions.
AB - In this paper, we argue that corruption research can benefit from studying corrupt transactions as a particular form of social interaction. We showcase the fruitfulness of a social interaction lens by investigating user reports on the online website Frontdesktip.com, where users share experiences and tips on the best ways of bribing hotel clerks in Las Vegas in exchange for free room upgrades and complimentary extras. We employ a logistic regression analysis to examine what factors influence the “successful” performance of this bribery practice. Our study makes a twofold contribution to existing research on corruption. First, on the theoretical level, we show that the typified and scripted character of social interactions can help explain corrupt transactions. Second, on the methodological level, our study demonstrates the usefulness of online self-reports as a non-reactive data source to observe corrupt transactions.
KW - Business ethics
KW - Bribery
KW - Codes of conduct
KW - Corruption
KW - Online media
KW - Social interactions
KW - Business ethics
KW - Bribery
KW - Codes of conduct
KW - Corruption
KW - Online media
KW - Social interactions
M3 - Paper
ER -