Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0
Job satisfaction and digital talent are topics of growing interest in the context of digital transformation. Digitalization is changing the way organizations operate and how employees perceive their work. The state and its administrative staff is no exception, as these capabilities are essentia...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Growing Science
2025-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol14/dsl_2024_61.pdf |
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| _version_ | 1846127806571872256 |
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| author | Miguel Inga-Avila Roberto Lider Churampi-Cangalaya Jesus Ulloa Ninahuaman Enrique Mendoza Caballero Fredy Orlando Soto Cardenas Luis Antonio Visurraga Camargo Teddy Jhonnie Salas Matos |
| author_facet | Miguel Inga-Avila Roberto Lider Churampi-Cangalaya Jesus Ulloa Ninahuaman Enrique Mendoza Caballero Fredy Orlando Soto Cardenas Luis Antonio Visurraga Camargo Teddy Jhonnie Salas Matos |
| author_sort | Miguel Inga-Avila |
| collection | DOAJ |
| description |
Job satisfaction and digital talent are topics of growing interest in the context of digital transformation. Digitalization is changing the way organizations operate and how employees perceive their work. The state and its administrative staff is no exception, as these capabilities are essential to perform operational tasks that underpin the public institution's documentary processes. This study investigates the influence of digital talent (independent variable) on job satisfaction (dependent variable), employing structural equation modeling (SEM) using WarpPLS software. Digital Talent is broken down into three sub-variables: Digital Competencies of Employees (DCE), Capacity for Digital Innovation and Creativity (CIDC) and Adaptability and Continuous Learning (ACL), while Job Satisfaction is measured through two sub-variables: Work Environment (WE) and Professional Development Opportunities (PDO). The analyses revealed that Capacity for Innovation and Digital Creativity (CIDC) has a significant impact on Work Environment, with a path coefficient (β) of 0.13 (p = 0.01). Similarly, adaptability and continuous learning (ACL) positively influence the work environment, with a path coefficient (β) of 0.10 (p = 0.04). In addition, a strong relationship was found between professional development opportunities (PDO) and work environment, with a path coefficient (β) of 0.68 (p < 0.001). For the relationship between digital competencies (DCE) and career development opportunities, the path coefficient was 0.10 (p = 0.04). Digital talent is a key predictor of job satisfaction in administrative staff. The results suggest that investing in the development of digital capabilities, especially innovation and creativity, as well as adaptability, is essential to improve the work environment and career development opportunities.
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| format | Article |
| id | doaj-art-3c83cbb415de4255a162d0dd5c41a206 |
| institution | Kabale University |
| issn | 1929-5804 1929-5812 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj-art-3c83cbb415de4255a162d0dd5c41a2062024-12-11T08:40:20ZengGrowing ScienceDecision Science Letters1929-58041929-58122025-01-0114116917810.5267/j.dsl.2024.10.003Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0Miguel Inga-AvilaRoberto Lider Churampi-CangalayaJesus Ulloa NinahuamanEnrique Mendoza CaballeroFredy Orlando Soto CardenasLuis Antonio Visurraga Camargo Teddy Jhonnie Salas Matos Job satisfaction and digital talent are topics of growing interest in the context of digital transformation. Digitalization is changing the way organizations operate and how employees perceive their work. The state and its administrative staff is no exception, as these capabilities are essential to perform operational tasks that underpin the public institution's documentary processes. This study investigates the influence of digital talent (independent variable) on job satisfaction (dependent variable), employing structural equation modeling (SEM) using WarpPLS software. Digital Talent is broken down into three sub-variables: Digital Competencies of Employees (DCE), Capacity for Digital Innovation and Creativity (CIDC) and Adaptability and Continuous Learning (ACL), while Job Satisfaction is measured through two sub-variables: Work Environment (WE) and Professional Development Opportunities (PDO). The analyses revealed that Capacity for Innovation and Digital Creativity (CIDC) has a significant impact on Work Environment, with a path coefficient (β) of 0.13 (p = 0.01). Similarly, adaptability and continuous learning (ACL) positively influence the work environment, with a path coefficient (β) of 0.10 (p = 0.04). In addition, a strong relationship was found between professional development opportunities (PDO) and work environment, with a path coefficient (β) of 0.68 (p < 0.001). For the relationship between digital competencies (DCE) and career development opportunities, the path coefficient was 0.10 (p = 0.04). Digital talent is a key predictor of job satisfaction in administrative staff. The results suggest that investing in the development of digital capabilities, especially innovation and creativity, as well as adaptability, is essential to improve the work environment and career development opportunities. http://www.growingscience.com/dsl/Vol14/dsl_2024_61.pdf |
| spellingShingle | Miguel Inga-Avila Roberto Lider Churampi-Cangalaya Jesus Ulloa Ninahuaman Enrique Mendoza Caballero Fredy Orlando Soto Cardenas Luis Antonio Visurraga Camargo Teddy Jhonnie Salas Matos Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 Decision Science Letters |
| title | Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 |
| title_full | Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 |
| title_fullStr | Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 |
| title_full_unstemmed | Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 |
| title_short | Digital talent and job satisfaction in the administrative staff of a public university with WarpPLS 8.0 |
| title_sort | digital talent and job satisfaction in the administrative staff of a public university with warppls 8 0 |
| url | http://www.growingscience.com/dsl/Vol14/dsl_2024_61.pdf |
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