Understanding the Phenomenon of Organizational Insentience and Identifying its Fusion Factors in a Mixed Method Way
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective
This research is aimed at understanding the nature of organizational numbness in governmental organizations and the factors influencing it.
Methods
This Mixed-methods research uses a systematic integration of quantitative and qualitative data. The qualitative part is performed using the Grounded theory and quantitative part utilizes a structural equation modeling. The qualitative part used semi-structured interviews for its data collection and a combination of open coding, axial coding, and selective coding was used for the analysis of the data. On the other hand, a researcher made questionnaire was used for the quantitative section while the validity and reliability of the survey had already been investigated.
Results
7 major categories were identified using 196 open codes and 20 axial codes. The data analysis software MaxQda 2018 has been used used to analyze the surveys data and extract the codes. Meanwhile, the dimensions of white fear, organizational blackout, insentience, and reluctance related to the organizational numbness variable (the axial phenomenon) and the dimensions of perceptual-sensual errors, sensual events and unconventional roles of government executives, related to the causative conditions affecting the axial phenomenon were identified.
Conclusion
Based on the findings of the qualitative part and the confirmation of the relationship between dimensions and variables using the identified codes it was determined that causal conditions with acceptable effect coefficients and significance coefficients affect the phenomenon of organizational numbness. The GOF, Q2, Rsquare and Fsqare criteria for the structural model and the measurement models were calculated using the Smart PLS 3 software. It is also worth to mention that all of the mentioned variables had allowed and acceptable values.Keywords:
Language:
Persian
Published:
Quarterly Journal Public Administration, Volume:11 Issue: 38, 2019
Pages:
285 to 308
https://www.magiran.com/p2005157
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