Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed‐Method Study

Authors

Mohamed Ali Zoromba (ORCID: https://orcid.org/0000-0002-4298-1121)
Heba Emad El‐Gazar (ORCID: https://orcid.org/0000-0002-0185-859X)
Mohamed Hussein Ramadan Atta (ORCID: https://orcid.org/0000-0002-5518-0892)
Shaimaa Mohamed Amin (ORCID: https://orcid.org/0000-0001-9467-3211)
Mona Metwally El‐Sayed (ORCID: https://orcid.org/0000-0001-7260-3968)

Institutions

Prince Sattam Bin Abdulaziz University (SA)
Mansoura University (EG)
Damanhour University (EG)
Alexandria University (EG)
Port Said University (EG)

Publication Details

Journal: Journal of Advanced Nursing
Published: 2024-09-05
DOI: https://doi.org/10.1111/jan.16435
Citations: 38
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 4.57

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article

Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed‐Method Study

Mohamed Ali Zoromba, Heba Emad El‐Gazar, Mohamed Hussein Ramadan Atta, Shaimaa Mohamed Amin et al.

Sep 5, 2024

38 citations

Journal of Advanced Nursing

Artificial Intelligence in Healthcare and Education

4.57

article

Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed‐Method Study

Mohamed Ali Zoromba, Heba Emad El‐Gazar, Mohamed Hussein Ramadan Atta, Shaimaa Mohamed Amin, Mona Metwally El‐Sayed

September 5, 2024article en

38 citations

Abstract

No abstract available for this paper.

Journal of Advanced NursingVol. 81(4)

Prince Sattam Bin Abdulaziz University (SA), Mansoura University (EG), Damanhour University (EG), Alexandria University (EG), Port Said University (EG)

Peace, Justice and strong institutions

Openalex Percentile: Top 5%

Artificial Intelligence in Healthcare and Education

4.57

DOI Source OpenAlex

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