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Jamal M M Joudeh

Biographic Data

ID6954565
NAMEJamal M M Joudeh
GIVEN NAMESJamal M M
FAMILY NAMEJoudeh
SIGNATUREJOUDEH J M M
AFFILIATIONSApplied Science Private University
ORCID0000-0003-2746-2160
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers

    Open Access•Mohammed O Abu-Rahme, Nabil A Abu-Loghod et al.•ARTICLE•Journal of Posthumanism•2025

    The study investigates the impact of misleading information on company trust and image on social media platforms. The study examines misleading information as an independent variable and company trust and company image as dependent variables, with company trust acting as a mediator to investigate the relationship between misleading information and company image. A questionnaire was distributed to 378 social media-active beauty and skincare custom…

  • An evaluation of the determinants affecting students’ satisfaction and intention to use e-learning tools

    Open Access•Jamal M M Joudeh, Fandi Omeish et al.•ARTICLE•Journal of Infrastructure Policy…•2024

    The study’s goal was to investigate the impact of e-learning determinants on student satisfaction and intention to use e-learning tools. The dependent and independent variables in this study were based on the technological acceptance model. The study examines three determinants, including usefulness, ease of use, and facilitating conditions, as independent variables, while student satisfaction and intention to use were used as dependent variables…

  • Smart Farming (Ai-Generated) as an Approach to Better Control Pest and Disease Detection in Agriculture

    Open Access•Tareq N Hashem, Jamal M M Joudeh et al.•ARTICLE•MIGRATION LETTERS•2023

    Purpose – The purpose of current study was to examine the role of smart farming through artificial intelligence (AI) (Data Integration; Machine Learning; Sensor Technologies; Image Processing and Computer Vision; Decision Support Systems and Scalability and Adaptability) in controlling pest and disease detection in agriculture. Methodology/ Design / Approach – Quantitative methodology was adopted and a questionnaire was self-administered online b…

No prominent works on this page.

  • Smart Farming (Ai-Generated) as an Approach to Better Control Pest and Disease Detection in Agriculture

    Open Access•Tareq N Hashem, Jamal M M Joudeh et al.•ARTICLE•MIGRATION LETTERS•2023

    Purpose – The purpose of current study was to examine the role of smart farming through artificial intelligence (AI) (Data Integration; Machine Learning; Sensor Technologies; Image Processing and Computer Vision; Decision Support Systems and Scalability and Adaptability) in controlling pest and disease detection in agriculture. Methodology/ Design / Approach – Quantitative methodology was adopted and a questionnaire was self-administered online b…

  • An evaluation of the determinants affecting students’ satisfaction and intention to use e-learning tools

    Open Access•Jamal M M Joudeh, Fandi Omeish et al.•ARTICLE•Journal of Infrastructure Policy…•2024

    The study’s goal was to investigate the impact of e-learning determinants on student satisfaction and intention to use e-learning tools. The dependent and independent variables in this study were based on the technological acceptance model. The study examines three determinants, including usefulness, ease of use, and facilitating conditions, as independent variables, while student satisfaction and intention to use were used as dependent variables…

  • Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers

    Open Access•Mohammed O Abu-Rahme, Nabil A Abu-Loghod et al.•ARTICLE•Journal of Posthumanism•2025

    The study investigates the impact of misleading information on company trust and image on social media platforms. The study examines misleading information as an independent variable and company trust and company image as dependent variables, with company trust acting as a mediator to investigate the relationship between misleading information and company image. A questionnaire was distributed to 378 social media-active beauty and skincare custom…

Computer Science (3 works) · Business (2 works) · Psychology (2 works) · Technology Adoption and User Behaviour (2 works) · Adaptability (1 work) · Advertising (1 work) · Aesthetics (1 work) · Agricultural science (1 work) · Agriculture (1 work) · Applied Psychology (1 work)

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