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EFFECTIVE TRAINING STRATEGIES TO INFLUENCE EMPLOYEES' ATTITUDES TOWARD USING AUTOMATION AT PUBLIC ADMINISTRATION WORKPLACE
The main aim of the study is to expose the effectiveness of implementing four training strategies; motivate and instill confidence, develop skills, discourage an overconfidence and overuse, and maintain a high level of expertise, on employees’ attitudes and performance in public administration organizations as they interact with automation at work. Attitudes of employees can be the main obstacle for organizations during the process of increasing automation adoption. Employees are still an indispensable and valuable resource that they can improve transparency as well as competitive advantages among other organizations by enhancing organizational loyalty by improving employee's satisfaction and attitudes toward daily work issues. The sample of this study includes 48 out of 60 participants ; managers, employees, and faculties, who work at the department of Research and Development-Ministry of Higher Education and Scientific Research, one of the highest public automated organizations, in Iraq. We have analyzed the collected data of this research through SPSS (version.24). The results show a firm correlation between applying influential training strategies and employees' reactions in response to increasing tasks technically automated. The conducted study shows that the four strategies can be used as a strategic guide for organizations that encounter aggressive attitudes of employees toward automation at the workplace and want to develop their ongoing transactions, public programs, and overall performance. Further study may need to include departments that provide different public services comparing to the selected organization like public transportation and organizations that have less automated work to expose other remarkable benefits of the four crucial training strategies.

Anahtar Kelimeler
Training strategies; automation; employees; motivation; attitudes.

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    Dear Authors,

    RESSJOURNAL's issue 11/4 (July 2024) is published. RESSJOURNAL's new issue will be published on September 30, 2024. We are waiting for your qualified articles.



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