Vakili, Ali Akbar, Bagheri, Mehdi, Mohebi, Sirajuddin and Haji Alizadeh, Kobra Employee Mental Absence Diagnosing and Analysis of Digital Mental Health Platforms (Case study: Iran Tobacco Company). International Journal of Digital Content Management, 2022, vol. 3, n. 5. [Journal article (Unpaginated)]
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English abstract
Purpose: The purpose of this study is to investigate the diagnosis of employees' mental absence and to provide a suitable model for the Iranian Tobacco Company. Method: This research was conducted with a qualitative-inductive approach and the method of Strauss-Corbin's grounded theory. The research tool (data collection) is a semi-structured interview that analyzes the data obtained from interviews with 10 qualified elites and experts of the Iranian Tobacco Company in three stages of open, axial, and selective coding in ATLAS TI software using the grounded theory method. Findings: 13 general categories in the form of a paradigm model in which these factors include causal conditions (individual factors; factors of group behavior; organizational factors; environmental factors), axial phenomenon (diagnosis of the mental absence of employees), contextual conditions (environmental and physical context), intervening conditions (individual factors ), and strategies (organizational strategy; job-related strategy; career development strategy), and consequences (individual outcomes; effectiveness; group outcomes) were identified. Conclusion: In a business environment with digital disruption from competitors and customers who have more choices through the availability of digital applications and information, it is important to ensure that organizations can quickly understand and adapt to new information. The need for mindfulness and control of mental absence is a prerequisite for digital transformation.
Item type: | Journal article (Unpaginated) |
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Keywords: | Employee Mental Absence Mindfulness Digital Transformation Digital Mental Health Platforms Iranian Tobacco Company |
Subjects: | G. Industry, profession and education. > GE. Staff. G. Industry, profession and education. > GI. Training. I. Information treatment for information services |
Depositing user: | Mr Saeed Asgharzadeh |
Date deposited: | 07 Nov 2023 07:34 |
Last modified: | 07 Nov 2023 07:34 |
URI: | http://hdl.handle.net/10760/45051 |
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