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Proposed Model for Artificial Intelligence Acceptance in Recruitment: Telecom in Jordan

Fraij, Jihad and Várallyai, László (2021) Proposed Model for Artificial Intelligence Acceptance in Recruitment: Telecom in Jordan. AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS, 12 (2). pp. 46-57. ISSN 2061-862X

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Abstract

Organizations often aim to conveniently and rapidly provide their clients with a competitive value, so many organizations have taken advantage of the enormous technology and communications growth and introduced their services electronically and switched from 'traditional management' to 'electronic management.' In this context, HRM was designed to be EHRM, and the implementation of AI in the HRM is being presented at the time of the digital world. However, many organizations still have difficulties, particularly in developed countries, regarding the level of consumer acceptance of these services. There is still little awareness of user recognition of the use of AI in HRM services. In addition to this, previous literature research on the adoption of AI in HRM was mainly performed in developing countries. This study's primary objective was to provide a theoretical discussion and propose a theoretical framework for adapting HRM AI in the telecom sector in a developing country such as Jordan. Also, it addresses the variables that may influence the level of acceptance of the extended UTAUT2 model and describes the variables that affect the level of acceptance.

Item Type: Article
Uncontrolled Keywords: HRM, EHRM, UTAUT2, AI
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA76.527 Network technologies / Internetworking / hálózati technológiák, hálózatosodás
Q Science / természettudomány > QA Mathematics / matematika > QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 12 Jun 2024 09:00
Last Modified: 12 Jun 2024 09:00
URI: https://real.mtak.hu/id/eprint/197153

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