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Determining a model for eliminating organisational lying: a grounded theory approach

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Fecha
2023
Autor(es)
Hakkak, M.
Nawaser, Khaled
Jalali, M.
Ghahremani, S.
Vafaei-Zadeh, A.
Hanifah, H.
Metadatos
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Resumen
The present study has been implemented to generate a theory in the field of organisational lying for better understanding and explaining the phenomenon in organisations. The subject of lying has been widely discussed in other fields such as psychology. However, little attention has been paid to this issue in the field of management and organisation. Therefore, it seems that this paper can open a new horizon to research on lying within the organisation. The research method is qualitative and based on the grounded theory. Semi-structured interviews were used for data collection and Strauss and Corbin method and paradigmatic model were adopted for data analysis. A total of 21 interviews were conducted with managers and experts who were familiar with the issue and context using judgmental and snowball sampling technique. The results of the analysis of the data obtained from the interviews during the open, axial and selective coding processes led to the formation of a grounded theory concerning the organisational lying based on which the purposeful lying, blind lying, and silent lying were introduced as the basic concepts of the organisational lying model.
URI
https://hdl.handle.net/20.500.12724/19462
DOI
https://doi.org/10.1504/IJIDS.2023.134789
Cómo citar
Hakkak, M., Nawaser, K., Jalali, M., Ghahremani, S., Vafaei-Zadeh, A., & Hnifah, H. (2023). Determining a model for eliminating organizational lying: a grounded theory approach. International Journal of Information and Decision Sciences, 15(4), 345-365. https://doi.org/10.1504/IJIDS.2023.134789
Editor
Inderscience Publishers
Temas
Organizational behavior
Corporate culture
Truthfulness and falsehood
Comportamiento organizacional
Cultura organizacional
Verdad y mentira
Revista
International Journal of Information and Decision Sciences
ISSN
1756-7017
Coleccion(es)
  • Investigadores externos [115]


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