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THE MODERATING INFLUENCE OF TECHNOLOGY SKILLS ON THE ASSOCIATION BETWEEN JOB DEMANDS, INNOVATIVE BEHAVIOR AND INDIVIDUAL PERFORMANCE DURING COVID-19

Jose Luis Daniel et al.

Review of Economic and Business Studies2025https://doi.org/10.47743/rebs-2025-1-0001article
ABDC C
Weight
0.50

What the paper says

The objective of this research is to examine the moderating influence of technology skills on the relationship between job demands, individual innovative behavior, and individual performance during the COVID-19 crisis. A sample size of 384 individuals was assessed utilizing structural equation modeling. Results from the first analysis, show a positive and significant association between job demands and individual innovative behavior, as well as job demands and individual performance. When the technology skills variable was introduced as a moderator, results show a negative and significant influence on both associations. In this scenario, when job demands increase, individuals who present low levels of technology skills show high levels of innovative behavior. Similarly, individuals with low levels of technology skills present higher levels of individual performance. Conclusions and recommendations for future research are presented.

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https://doi.org/https://doi.org/10.47743/rebs-2025-1-0001

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@article{jose2025,
  title        = {{THE MODERATING INFLUENCE OF TECHNOLOGY SKILLS ON THE ASSOCIATION BETWEEN JOB DEMANDS, INNOVATIVE BEHAVIOR AND INDIVIDUAL PERFORMANCE DURING COVID-19}},
  author       = {Jose Luis Daniel et al.},
  journal      = {Review of Economic and Business Studies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.47743/rebs-2025-1-0001},
}

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THE MODERATING INFLUENCE OF TECHNOLOGY SKILLS ON THE ASSOCIATION BETWEEN JOB DEMANDS, INNOVATIVE BEHAVIOR AND INDIVIDUAL PERFORMANCE DURING COVID-19

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.