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Naif Almakayeel

Datos Biográficos

ID8345532
NOMBRENaif Almakayeel
NOMBRESNaif
APELLIDOAlmakayeel
FIRMAALMAKAYEEL N
AFILIACIONESKing Khalid University
ORCID0000-0001-9461-5935
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Investigating ethical and motivational influences on consumers’ willingness to purchase the refurbished motorcycle parts

    Open Access•Kuei-Kuei Lai, Kuei‐Kuei Lai et al.•ARTICLE•Cleaner and Responsible Consumption•2026

    As global interest in sustainability and circular economy models intensifies, understanding consumer behaviour toward refurbished products becomes increasingly important—particularly in emerging markets like India. This study examines the ethical and motivational drivers behind consumers' willingness to purchase refurbished motorcycle parts. These parts offer a sustainable alternative in India's fast-growing automotive sector. The research draws …

  • Understanding systemic barriers to AI–human collaboration integration for quality improvement in public health systems

    Open Access•Naif Almakayeel•ARTICLE•Frontiers in Public Health•2026

    Health systems globally are under increasing pressure due to pandemics, resource constraints, and rising demand for quality and equitable care. The integration of artificial intelligence (AI) with quality improvement methodologies such as lean six sigma (LSS) offers significant potential to enhance efficiency, decision-making, and service delivery in public health systems. However, the adoption of Human–AI collaboration in such contexts remains l…

  • An integrated Cubic Quasi-Orthopair Neutrosophic Fuzzy MCDM framework for prioritising 5G-enabled smart city services

    Open Access•Krishnan Suvitha, Muniyandi Vijay et al.•ARTICLE•Sustainable Cities and Society•2026

Sin obras prominentes en esta página.

  • Investigating ethical and motivational influences on consumers’ willingness to purchase the refurbished motorcycle parts

    Open Access•Kuei-Kuei Lai, Kuei‐Kuei Lai et al.•ARTICLE•Cleaner and Responsible Consumption•2026

    As global interest in sustainability and circular economy models intensifies, understanding consumer behaviour toward refurbished products becomes increasingly important—particularly in emerging markets like India. This study examines the ethical and motivational drivers behind consumers' willingness to purchase refurbished motorcycle parts. These parts offer a sustainable alternative in India's fast-growing automotive sector. The research draws …

  • Understanding systemic barriers to AI–human collaboration integration for quality improvement in public health systems

    Open Access•Naif Almakayeel•ARTICLE•Frontiers in Public Health•2026

    Health systems globally are under increasing pressure due to pandemics, resource constraints, and rising demand for quality and equitable care. The integration of artificial intelligence (AI) with quality improvement methodologies such as lean six sigma (LSS) offers significant potential to enhance efficiency, decision-making, and service delivery in public health systems. However, the adoption of Human–AI collaboration in such contexts remains l…

  • An integrated Cubic Quasi-Orthopair Neutrosophic Fuzzy MCDM framework for prioritising 5G-enabled smart city services

    Open Access•Krishnan Suvitha, Muniyandi Vijay et al.•ARTICLE•Sustainable Cities and Society•2026

Accountability (1 obras) · Advanced Technologies in Various Fields (1 obras) · Ambiguity (1 obras) · Artificial Intelligence in Healthcare and Education (1 obras) · Consumer Behavior in Brand Consumption and Identification (1 obras) · Consumer behaviour (1 obras) · Decision support system (1 obras) · Deontic logic (1 obras) · Digital Transformation in Industry (1 obras) · Economic Justice (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae