Artificial Intelligence in Human Resources Information Systems: Investigating its Trust and Adoption Determinants

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dc.contributor.authorHmoud, Bilal Ibrahim
dc.contributor.authorVárallyai, László
dc.date.accessioned2021-06-29T11:05:06Z
dc.date.available2021-06-29T11:05:06Z
dc.date.issued2020-04-14
dc.description.abstractWith the rapidly emerging trend of employing Artificial Intelligence technologies within modern economics. This study is an attempt to fill the research gap associated with the factors that have influence with the adoption of artificial intelligence in human resources information systems on HR-leaders intention to use it. It empirically investigates the influences that trust, technological readiness, facilitating condition and performance expectancy on HR-professional’s behavioral intention to use AI in HRM. Besides, examine the moderating effect of age and experience on the proposed associations. Data were collected from by online questionnaire from 185 HR managers. A structural framework was introduced to test the relationship between study latent variables. Result exhibited that trust and performance expectancy has a significant influence on HR-professionals behavioral intention to use AI-HRIS. Trust and technological readiness showed a significant influence on HR-professionals performance expectancy of using AI-HRIS. While facilitating condition, organizational size and technological readiness did not show a significant influence on HR-professionals behavioral intention toward using AI-HRIS. Lastly, Age and Experience did not have a moderating effect on trust and performance expectancy association with the behavioral intention toward using AI-HRIS. The findings of this study contribute to the theory development of information technology diffusion in HRM.en
dc.description.abstractWith the rapidly emerging trend of employing Artificial Intelligence technologies within modern economics. This study is an attempt to fill the research gap associated with the factors that have influence with the adoption of artificial intelligence in human resources information systems on HR-leaders intention to use it. It empirically investigates the influences that trust, technological readiness, facilitating condition and performance expectancy on HR-professional’s behavioral intention to use AI in HRM. Besides, examine the moderating effect of age and experience on the proposed associations. Data were collected from by online questionnaire from 185 HR managers. A structural framework was introduced to test the relationship between study latent variables. Result exhibited that trust and performance expectancy has a significant influence on HR-professionals behavioral intention to use AI-HRIS. Trust and technological readiness showed a significant influence on HR-professionals performance expectancy of using AI-HRIS. While facilitating condition, organizational size and technological readiness did not show a significant influence on HR-professionals behavioral intention toward using AI-HRIS. Lastly, Age and Experience did not have a moderating effect on trust and performance expectancy association with the behavioral intention toward using AI-HRIS. The findings of this study contribute to the theory development of information technology diffusion in HRM.hu
dc.formatapplication/pdf
dc.identifier.citationInternational Journal of Engineering and Management Sciences, Vol. 5 No. 1 (2020) , 749-765
dc.identifier.doihttps://doi.org/10.21791/IJEMS.2020.1.65
dc.identifier.eissn2498-700X
dc.identifier.issue1
dc.identifier.jtitleInternational Journal of Engineering and Management Sciences
dc.identifier.urihttps://hdl.handle.net/2437/318911en
dc.identifier.volume5
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/IJEMS/article/view/5707
dc.rights.accessOpen Access
dc.rights.ownerby the authors
dc.subjectArtificial Intelligenceen
dc.subjectHuman Resources Information systemsen
dc.subjectHuman Resources Managementen
dc.subjectInformation Technologyen
dc.subjectArtificial Intelligence, Human Resources Information systems, Human Resources Management, Information Technologyhu
dc.subjectArtificial Intelligencehu
dc.subjectHuman Resources Information systemshu
dc.subjectHuman Resources Managementhu
dc.subjectInformation Technologyhu
dc.titleArtificial Intelligence in Human Resources Information Systems: Investigating its Trust and Adoption Determinantsen
dc.typefolyóiratcikkhu
dc.typearticleen
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