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The moderating role of ethical awareness in the relationship between nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study
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Abstract
Background
Artificial intelligence is rapidly advancing and being integrated into healthcare, potentially revolutionizing patient care and improving outcomes by leveraging large datasets and complex algorithms.
Aim
Investigate the moderating role of ethical awareness between nurses’ artificial intelligence perceptions, attitudes, and innovative work behaviors.
Design and Methods
A cross-sectional descriptive correlational design adhering to STROBE guidelines. A non-probability convenience sample of 415 Alexandria Main University Hospital nurses was analyzed. Statistical methods included one-way ANOVA, the student t-test, and the Pearson coefficient, with results evaluated for significance at the 5% level and internal consistency assessed via Cronbach’s α. Linear regression assessed the predicting and moderating effect between ethical awareness, nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior. The perceptions of using the Artificial Intelligence Scale, general attitudes towards the Artificial Intelligence Scale, ethical awareness of Using Artificial Intelligence, and the Employee Innovative Behavior Scale were used to respond to the research aim.
Results
The study revealed that perception of AI use among nurses has a mean score of 50.25 (SD = 3.49), attitudes towards AI have a mean score of 71.40 (SD = 4.98), ethical awareness regarding AI use shows a mean score of 43.85 (SD = 3.39), and nurses innovative behavior exhibits a mean score of 83.63 (SD = 5.22). Attitude and ethical awareness were statistically significant predictors of innovation. Specifically, for every one-unit increase in attitude, innovative work behaviors increase by 1.796 units (p = 0.001), and for every one-unit increase in ethical awareness, innovative work behaviors increase by 2.567 units (p = 0.013). The interaction effects between perception, ethical awareness, attitude, and ethical awareness were also examined. Only the interaction between attitude and ethical awareness was found to be significant (p = 0.002), suggesting that the effect of attitude on innovative work behaviors depends on the level of ethical awareness. In other words, ethical awareness moderates the relationship between attitudes and innovative work behaviors rather than perception and innovation.
Conclusion
There is a statistically significant correlation between attitude, ethical awareness, and creativity, highlighting that ethical awareness moderates the relationship between attitudes and innovative work behaviors. These findings emphasize the importance of ethical awareness in fostering positive attitudes towards AI and enhancing innovative practices in nursing, ultimately contributing to nurses’ well-being.
Springer Science and Business Media LLC
Title: The moderating role of ethical awareness in the relationship between nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study
Description:
Abstract
Background
Artificial intelligence is rapidly advancing and being integrated into healthcare, potentially revolutionizing patient care and improving outcomes by leveraging large datasets and complex algorithms.
Aim
Investigate the moderating role of ethical awareness between nurses’ artificial intelligence perceptions, attitudes, and innovative work behaviors.
Design and Methods
A cross-sectional descriptive correlational design adhering to STROBE guidelines.
A non-probability convenience sample of 415 Alexandria Main University Hospital nurses was analyzed.
Statistical methods included one-way ANOVA, the student t-test, and the Pearson coefficient, with results evaluated for significance at the 5% level and internal consistency assessed via Cronbach’s α.
Linear regression assessed the predicting and moderating effect between ethical awareness, nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior.
The perceptions of using the Artificial Intelligence Scale, general attitudes towards the Artificial Intelligence Scale, ethical awareness of Using Artificial Intelligence, and the Employee Innovative Behavior Scale were used to respond to the research aim.
Results
The study revealed that perception of AI use among nurses has a mean score of 50.
25 (SD = 3.
49), attitudes towards AI have a mean score of 71.
40 (SD = 4.
98), ethical awareness regarding AI use shows a mean score of 43.
85 (SD = 3.
39), and nurses innovative behavior exhibits a mean score of 83.
63 (SD = 5.
22).
Attitude and ethical awareness were statistically significant predictors of innovation.
Specifically, for every one-unit increase in attitude, innovative work behaviors increase by 1.
796 units (p = 0.
001), and for every one-unit increase in ethical awareness, innovative work behaviors increase by 2.
567 units (p = 0.
013).
The interaction effects between perception, ethical awareness, attitude, and ethical awareness were also examined.
Only the interaction between attitude and ethical awareness was found to be significant (p = 0.
002), suggesting that the effect of attitude on innovative work behaviors depends on the level of ethical awareness.
In other words, ethical awareness moderates the relationship between attitudes and innovative work behaviors rather than perception and innovation.
Conclusion
There is a statistically significant correlation between attitude, ethical awareness, and creativity, highlighting that ethical awareness moderates the relationship between attitudes and innovative work behaviors.
These findings emphasize the importance of ethical awareness in fostering positive attitudes towards AI and enhancing innovative practices in nursing, ultimately contributing to nurses’ well-being.
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