International Journal of Academic Research in Business and Social Sciences

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Factors Influencing Performance Appraisal Effectiveness in ODL Institutions

Open access

Bibi Nabi Ahmad Khan, Zulaihan Ismail, Wong Huey Siew, Norfardilawati Musa, Aznam Zakaria

Pages 811-822 Received: 01 Mar, 2024 Revised: 01 Apr, 2024 Published Online: 02 May, 2024

http://dx.doi.org/10.46886/IJARBSS/v14-i5/10667
Performance appraisal is essential, unavoidable, and universal, particularly in organisations where individuals tend to evaluate the work performance of others. The purpose of this study is to assess employee’s feedback towards performance appraisal exercises in the ODL institutions, Malaysia. Included in this study are one dependent variable (performance appraisal) and three independent variables (motivation, job satisfaction and engagement). The quantitative approach of analysis using data gathered by questionnaire distribution among samples was used in this study. This study assesses the direct relationship between motivation, job satisfaction, engagement and performance appraisal. In this study, primary data will be employed, and a survey questionnaire that had been adopted and modified from earlier studies is used to gather the data. SPSS 22.0 and Smartpls version 4 software were used for the direct and indirect links and testing of model hypotheses. Structural equation modeling, known for its ability to analyze complex interactions between variables, was used to analyze a comprehensive data set of 241 responses, and convergent and discriminant validity was confirmed. Evaluation of the structural model crucially confirmed the hypotheses and revealed three direct relationships and all these hypotheses were supported. These results highlight the profound importance of these factors in shaping performance appraisal and facilitating the effective appraisal system into ODL institutions. In addition to the empirical findings, this study contains very important theoretical implications, highlighting the central role that motivation, job satisfaction and engagement in influencing performance appraisal This study provides additional knowledge and an approach to the factors influencing employee’s feedback on the performance appraisal process in ODL institutions.
Ajibola, K. S., Mukulu, E., and Orwa, G. O. (2019).Performance appraisal as determinant of employeework engagement: Evidence from Nigeriamanufacturing firms. International Journal of HumanResources and Procurement, 8 (2), 45 – 58
Al-Jedaia, Y., & Mehrez, A. (2020). The effect of performanceappraisal on job performance in governmental sector: The medi-ating role of motivation. Management Science Letters, 10(9),2077–2088.https://doi.org/10.5267/j.msl.2020.2.003
Ameen, A., & Baharom, M. N. (2019). The assessment of effects of performance appraisal purposes on employee perfor-mance in Nigerian civil service. Journal of Social Sciences and Humanities, 16(5), 1-17
Amirullah. (2015). Pengantar Manajemen. Fungsi-Proses-Pengendalian. Mitra Wacana Media: Jakarta[
Balyan, K. Y., Tok, S., Tatar, A., Binboga, E., and Balyan, M. (2016). The relationship among personality, cognitive anxiety, somatic anxiety, physiological arousal, and performance in male athletes. J. Clin. Sport Psychol. 10, 48–58. doi: 10.1123/jcsp.2015-0013
Bušatli?, S., & Music, A. (2018). The relationship between employees’ perception ofperformance appraisal and work outcomes. Ekonomski Izazovi, 7(13),17–28.https://doi.org/10.5937/EkoIzazov1813017B
Chandhana, K., and David, T. E.(2015), Performance Appraisal Method Used in Top 10 IT Companies – 360 Degree Feedback & Balanced Score Card: A Review, Bonfring International Journal of Industrial Engineering and Management Science, Vol. 5, No. 2, pp- 73-77
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS quarterly, 39(2), 297-316.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares
structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems.
Idowu, A. O. (2017). Effectiveness of Performance Appraisal System and Its Effect on Employee Motivation. Nile Journal of Business and Economics, 3, 15-39.
https://doi.org/10.20321/nilejbe.v3i5.88
Jasielska, D., Rogoza, R., Zajenkowska, A., & Rus-sa, M. B. (2021). General trust scale: Validation in cross-cultural settings. Current Psychology, 40, 5019–5029
Lin, Y.-C., & Kellough, J. E. (2019). Performance appraisal problems in the public sector: Examining supervisors’ perceptions, Public Personnel Management, 48(2): 179–202.
Mahmoud, A. B., Sitladin, M., Tehseen, S., Fuxman, L., Reisel, W. D., Purkayastha, H., & Grigoriou, N. (2020, 2nd - 4th September). Job Satisfaction as a Mediator Between Performance Appraisal Effectiveness and Organisational Outcomes in the Caribbean. BAM2020 Conference, Alliance Manchester Business School.
(4) (PDF)
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0: An updated guide and practical guide to statistical analysis (2nd ed.). Kuala Lumpur, Malaysia: Pearson.
Ringle, C. M., and Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The
importance-performance map analysis. Industrial Management & Data Systems 116: 1865–1886.
Rusu, G., Avasilc?i, S., & Hu?u, C. A. (2016). Organizational context factors influencing employee performance appraisal: A research framework. Procedia-Social and Behavioral Sciences, 221, 57-65
Sanyal, M. K., Biswas, S. B., & Ghosh, R. (2017). Implication of Performance Appraisal process on Employee Engagement Mediated Through the Development and Innovation Oriented Culture: A Study on the Software Professionals of IT Companies in West Bengal. In Proceedings of the First International Conference on Intelligent Computing and Communication (pp. 277-294). Springer, Singapore.
Teckchandani, A., & Pichler, S. (2015). Quality results from performance appraisals. Industrial Management, 57(4).