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Suaad Jassem

Biographic Data

ID6733969
NAMESuaad Jassem
GIVEN NAMESSuaad
FAMILY NAMEJassem
SIGNATUREJASSEM S
AFFILIATIONSDepartment of Managerial and Financial Sciences Al Zahra College for Women Muscat Oman
ORCID0000-0003-4152-3951
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Can generative AI craft scale items? A mixed-method study on AI's capability to adapt and create new scales with recommendations for best practices

    Open Access•Mohammed Salah, Fadi Abdelfattah et al.•ARTICLE•Social Sciences & Humanities Open•2025

    This study explored the potential of generative artificial intelligence (AI), specifically Generative Pre-trained Transformer 4 (GPT-4), in revolutionizing the development and adaptation of research scales, a process traditionally characterized by its time-intensive nature and susceptibility to human bias. This study employed a mixed-method approach and assessed GPT-4's ability to generate reliable and valid scales and compared them with conventi…

  • Impact of Big Five personality traits on tax non‐compliance intentions: Mediation effect of perceived tax‐fairness

    Open Access•Suaad Jassem, Yasser A Al‐Rawi et al.•ARTICLE•Journal of Public Affairs•2021•References: 3

    Established behavioural theories have been used to study the impact of perceptions, attitudes and behaviour on tax compliance however the literature have overlooked the relationship between the personality traits of taxpayers as defined by the five‐factor model (FFM) on tax non‐compliance. This study aims to fill this gap by proposing a model using the FFM personality traits that examines the impact of the Big Five personality on tax non‐complian…

No prominent works on this page.

  • Impact of Big Five personality traits on tax non‐compliance intentions: Mediation effect of perceived tax‐fairness

    Open Access•Suaad Jassem, Yasser A Al‐Rawi et al.•ARTICLE•Journal of Public Affairs•2021•References: 3

    Established behavioural theories have been used to study the impact of perceptions, attitudes and behaviour on tax compliance however the literature have overlooked the relationship between the personality traits of taxpayers as defined by the five‐factor model (FFM) on tax non‐compliance. This study aims to fill this gap by proposing a model using the FFM personality traits that examines the impact of the Big Five personality on tax non‐complian…

  • Can generative AI craft scale items? A mixed-method study on AI's capability to adapt and create new scales with recommendations for best practices

    Open Access•Mohammed Salah, Fadi Abdelfattah et al.•ARTICLE•Social Sciences & Humanities Open•2025

    This study explored the potential of generative artificial intelligence (AI), specifically Generative Pre-trained Transformer 4 (GPT-4), in revolutionizing the development and adaptation of research scales, a process traditionally characterized by its time-intensive nature and susceptibility to human bias. This study employed a mixed-method approach and assessed GPT-4's ability to generate reliable and valid scales and compared them with conventi…

Agreeableness (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Best practice (1 works) · Big Five personality traits (1 works) · Cartography (1 works) · Compliance (psychology (1 works) · Computer Science (1 works) · Conscientiousness (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae