Volume 5, Issue 1 (Spring 2022)
Iranian Journal of Educational Sociology 2022, 5(1): 172-182 |
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Hosseini Zare S R, Toloie Oshloghi A, Motadel M R, Radfar R. (2022). Identification the Components of Evaluation of Employee Performance Smart Pattern (Case Study: Bank of Industry and Mine). Iranian Journal of Educational Sociology. 5(1), 172-182. doi:10.61186/ijes.5.1.172
URL: http://iase-idje.ir/article-1-1113-en.html
URL: http://iase-idje.ir/article-1-1113-en.html
1- PhD Student, Department of Information Technology Management, UAE Branch, Islamic Azad University, Dubai, UAE
2- Professor, Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
3- Assistant Professor, Department of Industrial Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran
4- Professor, Department of Industrial Management, University of Management and Economics, Science and Research, Islamic Azad University, Tehran, Iran
2- Professor, Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
3- Assistant Professor, Department of Industrial Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran
4- Professor, Department of Industrial Management, University of Management and Economics, Science and Research, Islamic Azad University, Tehran, Iran
Abstract: (1940 Views)
Purpose: Evaluation of employee performance plays an effective role in organizational productivity and effectiveness. As a result, the purpose of this study was identification the components of evaluation of employee performance smart pattern.
Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The research population was specialist managers and experts evaluation of employee performance of the bank of industry and mine in 2020 year, which according to the principle of theoretical saturation number of 16 people was selected by purposeful sampling method. The research tool was a semi-structured interview, which whose validity was confirmed by the triangulation method and its reliability was calculated by the agreement coefficient method between the two coders 0.82. Finally, data were analyzed based on open, axial and selective coding methods.
Findings: The findings showed that components of evaluation of employee performance smart pattern had 50 open codes in 12 axial codes and 3 selective codes. The selective codes included the factors of functional (with 4 axial codes of optimal function, quality of work, active and effective participation in meetings and planning, forearm and follow-up), job behavior (with 7 axial codes of observing administrative regulations and discipline, proper behavior and encounter with clients and colleagues, cooperation and accountability, analysis of issues and providing appropriate solutions, self-propulsion and innovation, increased job information and skills and information transfer) and ethical behavior (with 1 axial code of observing ethics and Islamic behavior). Finally, according to the identified components, the evaluation of employee performance smart pattern was painted.
Conclusion: The results of this research have practical implications for the specialists and officials of the Bank of Industry and Mine, and they with the help of identified components for evaluation of employee performance smart pattern can provide the ground for improving the performance of the organization.
Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The research population was specialist managers and experts evaluation of employee performance of the bank of industry and mine in 2020 year, which according to the principle of theoretical saturation number of 16 people was selected by purposeful sampling method. The research tool was a semi-structured interview, which whose validity was confirmed by the triangulation method and its reliability was calculated by the agreement coefficient method between the two coders 0.82. Finally, data were analyzed based on open, axial and selective coding methods.
Findings: The findings showed that components of evaluation of employee performance smart pattern had 50 open codes in 12 axial codes and 3 selective codes. The selective codes included the factors of functional (with 4 axial codes of optimal function, quality of work, active and effective participation in meetings and planning, forearm and follow-up), job behavior (with 7 axial codes of observing administrative regulations and discipline, proper behavior and encounter with clients and colleagues, cooperation and accountability, analysis of issues and providing appropriate solutions, self-propulsion and innovation, increased job information and skills and information transfer) and ethical behavior (with 1 axial code of observing ethics and Islamic behavior). Finally, according to the identified components, the evaluation of employee performance smart pattern was painted.
Conclusion: The results of this research have practical implications for the specialists and officials of the Bank of Industry and Mine, and they with the help of identified components for evaluation of employee performance smart pattern can provide the ground for improving the performance of the organization.
Type of Study: Research Article |
Subject:
Special
Received: 2021/10/30 | Accepted: 2021/12/14 | Published: 2022/04/3
Received: 2021/10/30 | Accepted: 2021/12/14 | Published: 2022/04/3
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