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Title: | Employees' perception towards AI integration into the workplace : a multiple framework review | Authors: | Mikati, Rania | Advisors: | Khayr Yaacoub, Hala | Keywords: | AI, employees, perception, job insecurity, training, workplace | Subjects: | University of Balamand--Dissertations Dissertations, Academic |
Issue Date: | 2024 | Publisher: | [Kalhat, Lebanon] : [University of Balamand], 2024 | Abstract: | Facing the widespread proliferation of AI in businesses around the world, employees have mixed feelings about the adoption of this technology in their workplace. Some employees perceive it as a threat to their careers, while others consider it as a challenge and a chance for career development. This systematic literature review discusses employees’ perception of AI by reviewing 54 studies. In this review, a bibliometric analysis was employed in addition to both ADO-TCM framework. The antecedents, decisions and outcomes (ADO) framework highlights the reasons for accepting or rejecting AI in the workplace, the measures taken by organizations in this regard and the outcomes of these measures. A summary of theory, context and method (TCM) framework helps identify the theories, contexts, and methodologies applied in the articles. This review aims to guide organizations into headache free integration of AI into the workplace and to reveal the gaps in literature in order to provide recommendations for future research. |
Description: | Includes bibliographical references (p. 46-66) |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/7716 | Rights: | This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder | Type: | Thesis |
Appears in Collections: | UOB Theses and Projects |
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