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Exploring the Impact of Emotional Regulation Strategies and Technology Use on Emotional Resilience in Healthcare Settings

Wenyu Jiang

International Journal of Healthcare Information Systems and Informatics2026https://doi.org/10.4018/ijhisi.403435article
ABDC C
Weight
0.50

What the paper says

This study examines the relationships between information technology use, perceived emotional support, work stress perception, and emotional resilience in high-stress professional contexts such as filmmaking. Using survey data from 319 film directors, correlation analysis, hierarchical multiple regression, and regression-based mediation and moderation analyses were employed to test the proposed model. The results indicate that information technology use is significantly and positively associated with emotional resilience, whereas work stress perception is significantly and negatively associated with emotional resilience. Perceived emotional support partially mediates the effects of both information technology use and work stress perception on emotional resilience and significantly moderates the impact of technology use by strengthening its positive association with resilience under conditions of high perceived support and high work stress. These findings suggest that integrating digital tools with structured emotional support systems can help foster digital resilience and emotional well-being in high-pressure occupations.

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https://doi.org/https://doi.org/10.4018/ijhisi.403435

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@article{wenyu2026,
  title        = {{Exploring the Impact of Emotional Regulation Strategies and Technology Use on Emotional Resilience in Healthcare Settings}},
  author       = {Wenyu Jiang},
  journal      = {International Journal of Healthcare Information Systems and Informatics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/ijhisi.403435},
}

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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.