Designing a Model for Employees' Information Technology Adoption with a Focus on the Role of Transformational Leadership

The present study aims to design a model for employees' information technology adoption with a focus on the role of transformational leadership. The research is exploratory-applied in terms of purpose, qualitative in terms of data type, cross-sectional in terms of data collection time, inductive-deductive in terms of philosophical approach, and descriptive-survey in terms of data collection method and research nature. The statistical population of the study consists of experts and managers from governmental organizations in the city of Karbala, with a final sample of 10 individuals who participated in interviews. The research instrument in the qualitative section was a semi-structured interview. In this study, four main dimensions were identified, including leadership characteristics, leadership impact, trust in technology within the organization, and valuation and reward. Furthermore, 239 initial codes were extracted from the 10 interviews, from which 20 secondary codes were derived. This finding can be explained by noting that leaders who emphasize innovation and change can facilitate technology adoption by inspiring employees and fostering an open and change-accepting culture. These leaders typically encourage employees to adopt new technologies by creating transparency, providing support, and ensuring the availability of necessary resources.

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Publication Details

Journal
Digital Transformation and Administration Innovation
Published
2025-01-01
DOI
https://doi.org/10.61838/dtai.77
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Designing a Model for Employees' Information Technology Adoption with a Focus on the Role of Transformational Leadership

Saeid Aghasi, Sayed Hamidreza Mirtavousi, Tariq Kadhim Shlaka, Radhwan Jabbar Joudah Alhameedawi
Digital Transformation and Administration Innovation
Technology Adoption and User Behaviour
article

Designing a Model for Employees' Information Technology Adoption with a Focus on the Role of Transformational Leadership

Saeid Aghasi, Sayed Hamidreza Mirtavousi, Tariq Kadhim Shlaka, Radhwan Jabbar Joudah Alhameedawi
article en

Abstract

The present study aims to design a model for employees' information technology adoption with a focus on the role of transformational leadership. The research is exploratory-applied in terms of purpose, qualitative in terms of data type, cross-sectional in terms of data collection time, inductive-deductive in terms of philosophical approach, and descriptive-survey in terms of data collection method and research nature. The statistical population of the study consists of experts and managers from governmental organizations in the city of Karbala, with a final sample of 10 individuals who participated in interviews. The research instrument in the qualitative section was a semi-structured interview. In this study, four main dimensions were identified, including leadership characteristics, leadership impact, trust in technology within the organization, and valuation and reward. Furthermore, 239 initial codes were extracted from the 10 interviews, from which 20 secondary codes were derived. This finding can be explained by noting that leaders who emphasize innovation and change can facilitate technology adoption by inspiring employees and fostering an open and change-accepting culture. These leaders typically encourage employees to adopt new technologies by creating transparency, providing support, and ensuring the availability of necessary resources.

Digital Transformation and Administration InnovationVol. 3(3)
Islamic Azad University, Isfahan (IR), Sumgayit State University (AZ), Islamic Azad University Dehaghan (IR)
Openalex Percentile: Top 74%
Technology Adoption and User Behaviour
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Designing a Model for Employees' Information Technology Adoption with a Focus on the Role of Transformational Leadership — Saeid Aghasi, Sayed Hamidreza Mirtavousi, et al. · Digital Transformation and Administration Innovation (2025) | TGRS Research Map | TGRS