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Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses

Article

Last updated: 04 Jan 2025

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Tags

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Abstract

Background: Artificial intelligence technology (AIT) makes a profound change in critical care settings involving nursing profession. It can help intensive care nurses (ICNs) to make more precise decisions and become higher job controlled. On the other side, this digital transition requires nurses to craft their work by altering their thinking regarding their jobs to be more satisfying and meaningful for them. Aim: To explore artificial intelligence technology perception and its relation to job control and job crafting among intensive care nurses. Design: Descriptive correlational design was utilized. Setting: The study was carried out at Tanta University Hospitals including all ICUs. Subjects: A stratified random sample was taken from intensive care nurses (n = 268). Tools: Three tools were used namely; Artificial Intelligence Technology Perception Questionnaire, Job Control Scale, and Job Crafting Scale. Results: About half (50.4%) of ICNs had a high level of artificial intelligence technology perception. Around two thirds (64.6%) of ICNs had a high level of job control. More than two thirds (66.8%) of ICNs had a high level of job crafting. Conclusion: There was a statistical significant positive correlation between intensive care nurses' artificial intelligence technology perception, job control, and job crafting. Recommendation: Conducting periodic workshop and training programs about artificial intelligence and job crafting. Creating supportive working environment that enhances nurses' job control and job crafting.

DOI

10.21608/asnj.2023.251829.1728

Keywords

Artificial intelligence technology, intensive care nurses, Job Control, Job Crafting & Perception

Authors

First Name

Asmaa

Last Name

Wanas

MiddleName

Hosny Belal

Affiliation

Lecturer of Nursing Administration, Faculty of Nursing, Tanta University, Egypt

Email

asmaa_wanas@nursing.tanta.edu.eg

City

Tanta

Orcid

0000-0002-8014-5853

First Name

Doaa

Last Name

Edrees

MiddleName

Abd El-Fattah Mousa

Affiliation

Lecturer of Nursing Administration, Faculty of Nursing, Tanta University, Egypt

Email

doaa.edres@yahoo.com

City

Tanta

Orcid

0000-0002-6895-8851

Volume

11

Article Issue

40

Related Issue

37031

Issue Date

2023-11-01

Receive Date

2023-11-28

Publish Date

2023-11-01

Page Start

250

Page End

264

Print ISSN

2314-8845

Online ISSN

2682-3799

Link

https://asnj.journals.ekb.eg/article_333362.html

Detail API

https://asnj.journals.ekb.eg/service?article_code=333362

Order

21

Type

Original Article

Type Code

1,040

Publication Type

Journal

Publication Title

Assiut Scientific Nursing Journal

Publication Link

https://asnj.journals.ekb.eg/

MainTitle

Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses

Details

Type

Article

Created At

24 Dec 2024