Volume 14, Issue 3
Adopting a Learning Organization Perspective for Improving Human Resources Service Quality During Digital Transformation
- Vol. 14, Issue 3, Pages: 18-35(2023)
DOI:10.47297/wspchrmWSP2040-800502.20231403
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Volume 14, Issue 3
1.Ministry of Higher Education, Research and Innovation, Oman
2.Department of Education and Humanities, Cyprus International University, North Cyprus, via Mersin 10, Turkey
3.Department of Business Administration, Cyprus International University, North Cyprus, via Mersin 10, Turkey
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Alzadjali Amna Hashim,Adedeji Michael Jibolu,Adwan Omar Mohammad Jamil.Adopting a Learning Organization Perspective for Improving Human Resources Service Quality During Digital Transformation[J].Journal of Chinese Human Resources Management,2023,14(03):18-35.
Alzadjali Amna Hashim,Adedeji Michael Jibolu,Adwan Omar Mohammad Jamil.Adopting a Learning Organization Perspective for Improving Human Resources Service Quality During Digital Transformation[J].Journal of Chinese Human Resources Management,2023,14(03):18-35. DOI: 10.47297/wspchrmWSP2040-800502.20231403.
The study examined the relationship between adopting a learning organization perspective for improving HR service quality during digital transformation (d-HRM) and its impact on employee performance and HR service quality (QHRS). The analysis utilized a dataset with valid and reliable measurements. The d-HRM variable consisted of nine items
with satisfactory item loadings above 0.60
except for one item (d-HRM4) that was excluded due to a low loading value. The most influential item in forming the d-HRM variable was d-HRM7. The d-HRM variable demonstrated good internal consistency (Cronbach's Alpha=0.913)
Composite Reliability (0.929)
and Average Variance Extracted (0.621). The QHRS variable excluded two items (QHRS1 and QHRS2) and exhibited satisfactory reliability (Cronbach's Alpha=0.795)
Composite Reliability (0.866)
and AVE (0.618). The employee performance (EP) variable showed good internal consistency (Cronbach's Alpha=0.836)
Composite Reliability (0.883)
and AVE (0.603)
with EP2 being the most influental item. The study found that 67.5% of the variance in employee performance and 61.2% of the variance in QHRS were determined by d-HRM. The remaining percentage suggest that there are other variables influencing both employee performance and HR service quality. No significant issues with multicollinearity were observed (VIF<10). The model met the eligibility requirements based on the Goodness of Fit test. The discriminant validity testing indicated that the overall validity of the variables exceeded the threshold of 0.60. The results supported the hypotheses
demonstrating significant positive influences of d-HRM on employee performance and QHRS through both direct and indirect relationships. The direct impact of d-HRM on QHRS was found to be the most influential. These findings contribute to understanding the role of a learning organization perspective in enhancing HR service quality during digital transformation and its impact on employee performance.
HR service qualityDigital transformationQuantitative analysisEmployee satisfactionOrganizational practices
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