Unlocking sustainable performance in the health-care sector: the dynamic nexus of artificial intelligence, green innovation and green knowledge sharing

Purpose This study, using stakeholder theory and diffusion of innovations (DOIs), aims to examine the readiness of Omani health-care firms to adopt artificial intelligence (AI). This adoption is seen as a key step towards ensuring green innovation and sustainable performance (SP) in the health-care sector. Design/methodology/approach This study adopted convenience and referral sampling techniques to enhance the response rate for the limited number of health-care firms using AI. Using explanatory research design, structure equation modelling and employees as the unit of analysis, a random sample technique is used to distribute the structured questionnaire to five hospitals in North Al-Batinah, including Shinas, Liwa and Sohar cities. Smart PLS 4.1 analyses the responses. Findings The research demonstrates that AI could significantly enhance SP, a finding that is of utmost importance in the current health-care landscape. This study also tested green knowledge sharing as a boundary condition. Furthermore, the study’s findings indicate that AI leads to the emergence of green innovation and SP, suggesting that firms are willing to adopt AI and achieve the sustainable development goals (SDGs). Practical implications This study implies that stakeholders, including the Omani Government and Middle Eastern firms, should prioritize investments in AI technologies tailored to sustainability initiatives. Originality/value This research study makes three significant and unique contributions. Firstly, it uniquely integrates stakeholder and DOIs theories to explain the mediating function of green innovation and the moderating effect of green knowledge sharing. Secondly, it provides a unique Middle Eastern context, where the government’s focus on the health sector is crucial. Finally, this study outlines a clear and actionable pathway for the Middle East to achieve the SDGs, thereby enlightening the reader on the potential of AI in the health-care sector.

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Publication Details

Journal
Society and Business Review
Published
2025-02-18
DOI
https://doi.org/10.1108/sbr-07-2024-0249
Citations
22
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
92.43
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article

Unlocking sustainable performance in the health-care sector: the dynamic nexus of artificial intelligence, green innovation and green knowledge sharing

Harcharanjit Singh, Irfan Saleem, Hanan Ahmed Abdallah Al-Balushi
22 citations
Society and Business Review
Innovation, Sustainability, Human-Machine Systems
92.43
article

Unlocking sustainable performance in the health-care sector: the dynamic nexus of artificial intelligence, green innovation and green knowledge sharing

Harcharanjit Singh, Irfan Saleem, Hanan Ahmed Abdallah Al-Balushi
article en
22 citations

Abstract

Purpose This study, using stakeholder theory and diffusion of innovations (DOIs), aims to examine the readiness of Omani health-care firms to adopt artificial intelligence (AI). This adoption is seen as a key step towards ensuring green innovation and sustainable performance (SP) in the health-care sector. Design/methodology/approach This study adopted convenience and referral sampling techniques to enhance the response rate for the limited number of health-care firms using AI. Using explanatory research design, structure equation modelling and employees as the unit of analysis, a random sample technique is used to distribute the structured questionnaire to five hospitals in North Al-Batinah, including Shinas, Liwa and Sohar cities. Smart PLS 4.1 analyses the responses. Findings The research demonstrates that AI could significantly enhance SP, a finding that is of utmost importance in the current health-care landscape. This study also tested green knowledge sharing as a boundary condition. Furthermore, the study’s findings indicate that AI leads to the emergence of green innovation and SP, suggesting that firms are willing to adopt AI and achieve the sustainable development goals (SDGs). Practical implications This study implies that stakeholders, including the Omani Government and Middle Eastern firms, should prioritize investments in AI technologies tailored to sustainability initiatives. Originality/value This research study makes three significant and unique contributions. Firstly, it uniquely integrates stakeholder and DOIs theories to explain the mediating function of green innovation and the moderating effect of green knowledge sharing. Secondly, it provides a unique Middle Eastern context, where the government’s focus on the health sector is crucial. Finally, this study outlines a clear and actionable pathway for the Middle East to achieve the SDGs, thereby enlightening the reader on the potential of AI in the health-care sector.

Society and Business ReviewVol. 20(3)
Wittenborg University (NL), University of Technology Malaysia (MY), Sohar University (OM)
Openalex Percentile: Top 0%
Innovation, Sustainability, Human-Machine Systems
92.43
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