Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Michael J. Wynes"'
Autor:
Michael J. Wynes, James Smith
Publikováno v:
Accounting Perspectives. 21:7-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29c9953ee701d0325a6038a72f32b6db
https://doi.org/10.1111/1911-3838.12266
https://doi.org/10.1111/1911-3838.12266
Autor:
Michael J. Wynes
Publikováno v:
Journal of Business Ethics. 178:129-151
Using two experiments, I examine how apologizing for fraud influences investor's avoidance (selling shares) and revenge (litigation) behavior. Investors in experiment one report how many shares they would sell and how likely they would be to pursue l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61570f1783243639ca24c6488fd1626d
https://doi.org/10.1007/s10551-021-04781-9
https://doi.org/10.1007/s10551-021-04781-9
Autor:
Michael J. Wynes
Publikováno v:
Journal of Behavioral Finance. 22:403-419
This study investigates the differential effect of anger and fear on investors information search behavior. Based on theories from psychology, I predict that angry investors will seek out less addi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4032cda93bc75463d6a86b8493905856
https://doi.org/10.1080/15427560.2020.1786386
https://doi.org/10.1080/15427560.2020.1786386
Publikováno v:
Journal of Business Ethics. 163:485-505
In a crisis, managers are confronted with a dilemma between their ethical responsibility to respond to victims and their fiduciary responsibility to protect shareholder value. In this study, we use a unique and comprehensive dataset of 223 non-financ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3817d20d20daac26c0561f51906db9
https://doi.org/10.1007/s10551-018-4037-5
https://doi.org/10.1007/s10551-018-4037-5
Publikováno v:
SSRN Electronic Journal.
We create and validate measures capturing internal and external motivations to report honestly as trait‐like characteristics. Both measures have high levels of reliability, as well as convergent and divergent validity. To test their predictive vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58aa80ef16f8d2e34e7f665bc4cf212e
https://doi.org/10.2139/ssrn.2967548
https://doi.org/10.2139/ssrn.2967548