The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction
This study investigates the mediating and moderating roles of data analytics and business intelligence in the relationship between e-HRM practices and job satisfaction in Jordanian SMEs. The data were obtained from a survey of 368 employees through questionnaires; the data were analyzed via SPSS and...
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LLC "CPC "Business Perspectives"
2025-04-01
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| Series: | Problems and Perspectives in Management |
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| Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21956/PPM_2025_02_Awamleh.pdf |
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| author | Fawwaz Tawfiq Awamleh Ahmad Albloush Mufleh AL Jarrah Hasan Khaled AlAwamleh |
| author_facet | Fawwaz Tawfiq Awamleh Ahmad Albloush Mufleh AL Jarrah Hasan Khaled AlAwamleh |
| author_sort | Fawwaz Tawfiq Awamleh |
| collection | DOAJ |
| description | This study investigates the mediating and moderating roles of data analytics and business intelligence in the relationship between e-HRM practices and job satisfaction in Jordanian SMEs. The data were obtained from a survey of 368 employees through questionnaires; the data were analyzed via SPSS and PROCESS Macro v3.5. The results show that e-HRM practices, such as e-recruiting, e-training, e-compensation, and e-performance, have a high and significant positive impact on job satisfaction (R² = 0.93, F = 1221.14, β = 0.613, p = 0.01). More precisely, concerning the dimensions of e-HRM, both e-training (β = 0.356, p < 0.001) and e-performance (β = 0.072, p = 0.02) were positively related to job satisfaction, while e-compensation had no statistical effect. Data analytics mediated this relationship positively by increasing its impact by 0.33 and contributing to an R² of 0.875 (p < 0.01). Furthermore, data analytics had a direct influence on job satisfaction (R² = 0.48, F = 333.93, β = 0.691, p < 0.001). Business intelligence moderated e-HRM-job satisfaction relationships through the amplification of its effect by 0.40 and had an indirect R² of 0.875 (p < 0.01). These results have presented the critical roles that data analytics and business intelligence play in the optimization of HR practices and employee satisfaction. The study has shown the need for Jordanian SMEs to adopt these technologies to enhance their HR capabilities and workforce engagement. |
| format | Article |
| id | doaj-art-1c93b29be4064cd883d89d715ce0208b |
| institution | DOAJ |
| issn | 1727-7051 1810-5467 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | LLC "CPC "Business Perspectives" |
| record_format | Article |
| series | Problems and Perspectives in Management |
| spelling | doaj-art-1c93b29be4064cd883d89d715ce0208b2025-08-20T03:04:21ZengLLC "CPC "Business Perspectives"Problems and Perspectives in Management1727-70511810-54672025-04-0123220821910.21511/ppm.23(2).2025.1421956The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfactionFawwaz Tawfiq Awamleh0https://orcid.org/0000-0002-3425-7379Ahmad Albloush1https://orcid.org/0000-0001-8429-1033Mufleh AL Jarrah2https://orcid.org/0000-0002-3949-6475Hasan Khaled AlAwamleh3https://orcid.org/0000-0002-9853-7847Ph.D., Assistant Professor, Business Administration Department, Faculty of Business, Amman Arab University, JordanPh.D., Assistant Professor, Faculty of Business, Amman Arab UniversityDoctor of Management Information Systems, Associate Professor, Faculty of Business, Management Information Systems Department, Amman Arab UniversityPh.D., Associate Professor, Business Department, Amman University College, Al-Balqa Applied University, JordanThis study investigates the mediating and moderating roles of data analytics and business intelligence in the relationship between e-HRM practices and job satisfaction in Jordanian SMEs. The data were obtained from a survey of 368 employees through questionnaires; the data were analyzed via SPSS and PROCESS Macro v3.5. The results show that e-HRM practices, such as e-recruiting, e-training, e-compensation, and e-performance, have a high and significant positive impact on job satisfaction (R² = 0.93, F = 1221.14, β = 0.613, p = 0.01). More precisely, concerning the dimensions of e-HRM, both e-training (β = 0.356, p < 0.001) and e-performance (β = 0.072, p = 0.02) were positively related to job satisfaction, while e-compensation had no statistical effect. Data analytics mediated this relationship positively by increasing its impact by 0.33 and contributing to an R² of 0.875 (p < 0.01). Furthermore, data analytics had a direct influence on job satisfaction (R² = 0.48, F = 333.93, β = 0.691, p < 0.001). Business intelligence moderated e-HRM-job satisfaction relationships through the amplification of its effect by 0.40 and had an indirect R² of 0.875 (p < 0.01). These results have presented the critical roles that data analytics and business intelligence play in the optimization of HR practices and employee satisfaction. The study has shown the need for Jordanian SMEs to adopt these technologies to enhance their HR capabilities and workforce engagement.https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21956/PPM_2025_02_Awamleh.pdfbusiness intelligencedata analyticse-human resource management practicesjob satisfactionJordanPROCESS Macro v3_5 |
| spellingShingle | Fawwaz Tawfiq Awamleh Ahmad Albloush Mufleh AL Jarrah Hasan Khaled AlAwamleh The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction Problems and Perspectives in Management business intelligence data analytics e-human resource management practices job satisfaction Jordan PROCESS Macro v3_5 |
| title | The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction |
| title_full | The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction |
| title_fullStr | The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction |
| title_full_unstemmed | The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction |
| title_short | The role of data analytics and business intelligence in enhancing the relationship between e-HRM practices and job satisfaction |
| title_sort | role of data analytics and business intelligence in enhancing the relationship between e hrm practices and job satisfaction |
| topic | business intelligence data analytics e-human resource management practices job satisfaction Jordan PROCESS Macro v3_5 |
| url | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21956/PPM_2025_02_Awamleh.pdf |
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