Research Article
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Year 2021, Volume: 21 Issue: 1, 29 - 45, 30.01.2021
https://doi.org/10.21121/eab.874012

Abstract

References

  • Aboagye, A. K., Dai, B., & Bakpa, E. K. (2020). The effect of risk communication on the nurses’ task and contextual performance in disease outbreak control in Ghana: Application of the cause model. International Journal of Health Planning and Management. https://doi.org/10.1002/hpm.2978
  • Abubakar, T., Pangil, F., & Othman, S. Z. (2016). Examining the link between HRM Practices and Employees’ performance in Nigerian public sector. Management Science Letters, 6, 395–408. https://doi.org/10.5267/j.msl.2016.4.006
  • Akca, M., & Yurtçu, B. G. (2017). Çalışma ortamı özelliklerinin hekimlerin görev ve bağlamsal performansına etkisi. International Journal of Academic Value Studies, 3(15), 197–207. https://doi.org/10.23929/javs.562
  • Aksu, G., & Güzeller, C. O. (2016). Classification of PISA 2012 mathematical literacy scores using Decision-Tree Method: Turkey sampling. Egitim ve Bilim, 41(185), 101–122. https:// doi.org/10.15390/EB.2016.4766
  • Alfes, K., Truss, C., Soane, E. C., Rees, C., & Gatenby, M. (2013). The relationship between line manager behavior, perceived HRM practices, and individual performance: Examining the mediating role of engagement. Human Resource Management, 52(6), 839–859. https://doi.org/10.1002/ hrm.21512
  • Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. Journal of Strategic Information Systems, 24(2), 65–89. https://doi.org/10.1016/j.jsis.2015.03.001
  • Allen, H. (2008). Using routinely collected data to augment the management of health and productivity loss. Journal of Occupational and Environmental Medicine, 50(6), 615–632. https://doi.org/10.1097/JOM.0b013e31817b610c
  • Allport, G. W. (1966). Traits revisited. American Psychologist, 21(1), 1–10. https://doi.org/10.1037/h0023295 Aronson, E., Wilson, T. D., Akert, R. M., & Sommers, S. R. (2016). Social Psychology (9th ed.). London: Pearson Education.
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  • Bonesrønning, H., & Massih, S. S. (2011). Birth order effects on young students’ academic achievement. Journal of Socio- Economics, 40(6), 824–832. https://doi.org/10.1016/j. socec.2011.08.010
  • Borman, W. C., & Motowidlo, S. J. (1993). Expanding the criterion domain To include elements of contextual performance. In N. Schmitt & W. C. Borman (Eds.), Personnel selection in organizations. San Francisco: Jossey-Bass.
  • Bracken, D. W., Rose, D. S., & Church, A. H. (2016). The evolution and devolution of 360° feedback. Industrial and Organizational Psychology, 9(4), 761–794. https://doi.org/10.1017/ iop.2016.93
  • Brief, A. P., & Motowidlo, S. J. (1986). Prosocial organizational behaviors. The Academy of Management Review, 11(4), 710. https://doi.org/10.2307/258391
  • Campbell, J. P. (1990). Modeling the performance prediction problem in industrial and organizational psychology. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of Industrial and Organizational Psychology (pp. 687–732). Palo Alto: Consulting Psychologists Press.
  • Campbell, J. P., McHenry, J. J., & Wise, L. L. (1990). Modeling job performance in a population of jobs. Personnel Psychology, 43(2), 313–575. https://doi.org/10.1111/j.1744-6570.1990. tb01561.x
  • Cattell, R. (1979). Personality and learning theory. Vol. 1: The structure of personality in its environment. New York, NY: Springer.
  • Ceschi, A., Sartori, R., Dickert, S., & Costantini, A. (2016). Grit or honesty-humility? New insights into the moderating role of personality between the health impairment process and counterproductive work behavior. Frontiers in Psychology, 7(1799), 1–11. https://doi.org/10.3389/fpsyg.2016.01799
  • Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37(4), 319–338. https://doi.org/10.1016/ S0092-6566(02)00578-0
  • Conway, J. M., & Huffcutt, A. I. (1997). Psychometric properties of multisource performance ratings: A meta-analysis of subordinate, supervisor, peer, and self-ratings. Human Performance, 10(4), 331–360. https://doi.org/10.1207/ s15327043hup1004_2
  • Costa, P. T., & McCrae, R. R. (1988). Personality in adulthood: A six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory. Journal of Personality and Social Psychology, 54(5), 853–863. https://doi. org/10.1037/0022-3514.54.5.853
  • Craik, K. H. (1993). Fifty years of personality psychology. New York, NY: Plenum Press.
  • Dåderman, A. M., Ingelgård, A., & Koopmans, L. (2020). Cross-cultural adaptation, from Dutch to Swedish language, of the individual work performance questionnaire. Work, 65(1), 97–109. https://doi.org/10.3233/WOR-193062
  • Demirok, A. (2018). Örgütsel sinizm ve iş performansı arasındaki ilişki: Diyarbakır’da çalışan kadrolu ve sözleşmeli personel örneği(Unpublished master’s thesis). Türk Hava Kurumu Üniversitesi, Ankara.
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  • Escorpizo, R. (2008). Understanding work productivity and its application to work-related musculoskeletal disorders. International Journal of Industrial Ergonomics, 38(3–4), 291–297. https://doi.org/10.1016/j.ergon.2007.10.018 Eysenck, H. J. (1967). The biological basis of personality. Springfield, IL: Thomas.
  • Fayers, P. M., & Hand, D. J. (2002). Causal variables, indicator variables and measurement scales: an example from quality of life. Journal of the Royal Statistical Society, 165(2), 233–261. https://doi.org/10.1111/1467-985X.02020
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Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists

Year 2021, Volume: 21 Issue: 1, 29 - 45, 30.01.2021
https://doi.org/10.21121/eab.874012

Abstract

There are many factors that may affect employees’ job performance such as psychological, sociological, anthropological, demographic and similar. However, related literature was mainly focusing on psychological and demographic ones, which were often analyzed through different job performance measurement methods such as self-evaluation and supervisor (or superior) evaluation. The main goal of the current study is to define and compare the factors affecting employee’s job performance according to the above mentioned measurement methods, as well as their level of importance. For the purpose of this study, data were collected through survey conducted in the Antalya region in Turkey among 305 participants coming from seven countries and consisting of both employees and supervisors working for a performing artists organization company. Data were analyzed by using CHAID analysis through classification algorithms. Results show there is a difference between variables explaining the job performance of the employees when they do self-evaluation of their own performance than when the same is done by their supervisors. Nationality is one of the factors affecting performance in both evaluation forms. While the performance of individuals with extraversion personality traits was high in case of self-evaluation, the performance of the men who were second-born or after was high in the evaluation by the supervisors. These results demonstrated the problematic nature of measuring job performance and making accurate evaluations based on it.

References

  • Aboagye, A. K., Dai, B., & Bakpa, E. K. (2020). The effect of risk communication on the nurses’ task and contextual performance in disease outbreak control in Ghana: Application of the cause model. International Journal of Health Planning and Management. https://doi.org/10.1002/hpm.2978
  • Abubakar, T., Pangil, F., & Othman, S. Z. (2016). Examining the link between HRM Practices and Employees’ performance in Nigerian public sector. Management Science Letters, 6, 395–408. https://doi.org/10.5267/j.msl.2016.4.006
  • Akca, M., & Yurtçu, B. G. (2017). Çalışma ortamı özelliklerinin hekimlerin görev ve bağlamsal performansına etkisi. International Journal of Academic Value Studies, 3(15), 197–207. https://doi.org/10.23929/javs.562
  • Aksu, G., & Güzeller, C. O. (2016). Classification of PISA 2012 mathematical literacy scores using Decision-Tree Method: Turkey sampling. Egitim ve Bilim, 41(185), 101–122. https:// doi.org/10.15390/EB.2016.4766
  • Alfes, K., Truss, C., Soane, E. C., Rees, C., & Gatenby, M. (2013). The relationship between line manager behavior, perceived HRM practices, and individual performance: Examining the mediating role of engagement. Human Resource Management, 52(6), 839–859. https://doi.org/10.1002/ hrm.21512
  • Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. Journal of Strategic Information Systems, 24(2), 65–89. https://doi.org/10.1016/j.jsis.2015.03.001
  • Allen, H. (2008). Using routinely collected data to augment the management of health and productivity loss. Journal of Occupational and Environmental Medicine, 50(6), 615–632. https://doi.org/10.1097/JOM.0b013e31817b610c
  • Allport, G. W. (1966). Traits revisited. American Psychologist, 21(1), 1–10. https://doi.org/10.1037/h0023295 Aronson, E., Wilson, T. D., Akert, R. M., & Sommers, S. R. (2016). Social Psychology (9th ed.). London: Pearson Education.
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  • Bennett, R. J., & Robinson, S. L. (2000). Development of a measure of workplace deviance. Journal of Applied Psychology, 85(3), 349–360. https://doi.org/10.1037/0021- 9010.85.3.349
  • Blickle, G. (1996). Personality traits, learning strategies, and performance. European Journal of Personality, 10(5), 337–352. https://doi.org/10.1002/(SICI)1099-0984
  • Bonesrønning, H., & Massih, S. S. (2011). Birth order effects on young students’ academic achievement. Journal of Socio- Economics, 40(6), 824–832. https://doi.org/10.1016/j. socec.2011.08.010
  • Borman, W. C., & Motowidlo, S. J. (1993). Expanding the criterion domain To include elements of contextual performance. In N. Schmitt & W. C. Borman (Eds.), Personnel selection in organizations. San Francisco: Jossey-Bass.
  • Bracken, D. W., Rose, D. S., & Church, A. H. (2016). The evolution and devolution of 360° feedback. Industrial and Organizational Psychology, 9(4), 761–794. https://doi.org/10.1017/ iop.2016.93
  • Brief, A. P., & Motowidlo, S. J. (1986). Prosocial organizational behaviors. The Academy of Management Review, 11(4), 710. https://doi.org/10.2307/258391
  • Campbell, J. P. (1990). Modeling the performance prediction problem in industrial and organizational psychology. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of Industrial and Organizational Psychology (pp. 687–732). Palo Alto: Consulting Psychologists Press.
  • Campbell, J. P., McHenry, J. J., & Wise, L. L. (1990). Modeling job performance in a population of jobs. Personnel Psychology, 43(2), 313–575. https://doi.org/10.1111/j.1744-6570.1990. tb01561.x
  • Cattell, R. (1979). Personality and learning theory. Vol. 1: The structure of personality in its environment. New York, NY: Springer.
  • Ceschi, A., Sartori, R., Dickert, S., & Costantini, A. (2016). Grit or honesty-humility? New insights into the moderating role of personality between the health impairment process and counterproductive work behavior. Frontiers in Psychology, 7(1799), 1–11. https://doi.org/10.3389/fpsyg.2016.01799
  • Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37(4), 319–338. https://doi.org/10.1016/ S0092-6566(02)00578-0
  • Conway, J. M., & Huffcutt, A. I. (1997). Psychometric properties of multisource performance ratings: A meta-analysis of subordinate, supervisor, peer, and self-ratings. Human Performance, 10(4), 331–360. https://doi.org/10.1207/ s15327043hup1004_2
  • Costa, P. T., & McCrae, R. R. (1988). Personality in adulthood: A six-year longitudinal study of self-reports and spouse ratings on the NEO Personality Inventory. Journal of Personality and Social Psychology, 54(5), 853–863. https://doi. org/10.1037/0022-3514.54.5.853
  • Craik, K. H. (1993). Fifty years of personality psychology. New York, NY: Plenum Press.
  • Dåderman, A. M., Ingelgård, A., & Koopmans, L. (2020). Cross-cultural adaptation, from Dutch to Swedish language, of the individual work performance questionnaire. Work, 65(1), 97–109. https://doi.org/10.3233/WOR-193062
  • Demirok, A. (2018). Örgütsel sinizm ve iş performansı arasındaki ilişki: Diyarbakır’da çalışan kadrolu ve sözleşmeli personel örneği(Unpublished master’s thesis). Türk Hava Kurumu Üniversitesi, Ankara.
  • Diab, D. L., & Hazer, J. T. (2012). Effect of rater nationality on the relationships among ratee task, contextual, and counterproductive behaviors and salary estimates. International Journal of Selection and Assessment, 20(3), 359–375. https:// doi.org/10.1111/j.1468-2389.2012.00606.x
  • Escorpizo, R. (2008). Understanding work productivity and its application to work-related musculoskeletal disorders. International Journal of Industrial Ergonomics, 38(3–4), 291–297. https://doi.org/10.1016/j.ergon.2007.10.018 Eysenck, H. J. (1967). The biological basis of personality. Springfield, IL: Thomas.
  • Fayers, P. M., & Hand, D. J. (2002). Causal variables, indicator variables and measurement scales: an example from quality of life. Journal of the Royal Statistical Society, 165(2), 233–261. https://doi.org/10.1111/1467-985X.02020
  • Francis, L. J., Brown, L. B., & Philipchalk, R. (1992). The development of an abbreviated form of the revised Eysenck personality questionnaire (EPQR-A): Its use among students in England, Canada, the U.S.A. and Australia. Personality and Individual Differences, 13(4), 443–449. https:// doi.org/10.1016/0191-8869(92)90073-X
  • Galton, F. (1874). English men of science: their nature and nurture. London: Macmillan.
  • Gliner, J. A., Morgan, G. A., & L, L. N. (2017). Research methods in applied settings: An integrated approach to design and analysis. New York, NY: Taylor & Francis.
  • Gözel, G., Atmaca, G. D., & Durat, G. (2017). Hemşirelerin kişilik özellikleri ile iş performansları arasındaki ilişkinin değerlendirilmesi. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 3(1), 11–16.
  • Harris, M. M., & Schaubroeck, J. (1988). A meta-analysis of self-supervisor, self-peer, and peer-supervisor ratings. Personnel Psychology, 41(1), 43–62. https://doi. org/10.1111/j.1744-6570.1988.tb00631.x
  • Hashmi, F., Ameen, K., & Soroya, S. (2019). Does post graduate degree make any difference in job performance of information professionals? Library Management, 41(1), 14–27. https://doi.org/10.1108/LM-07-2019-0042
  • Heidemeier, H., & Moser, K. (2009). Self–other agreement in job performance ratings: A meta-analytic test of a process model. Journal of Applied Psychology, 94(2), 353–370. https://doi.org/10.1037/0021-9010.94.2.353
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There are 70 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Volkan Aşkun 0000-0003-2746-502X

Rabia Çizel This is me 0000-0002-6381-2503

Edina Ajanovıc This is me 0000-0002-1718-2862

Publication Date January 30, 2021
Acceptance Date November 20, 2020
Published in Issue Year 2021 Volume: 21 Issue: 1

Cite

APA Aşkun, V., Çizel, R., & Ajanovıc, E. (2021). Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists. Ege Academic Review, 21(1), 29-45. https://doi.org/10.21121/eab.874012
AMA Aşkun V, Çizel R, Ajanovıc E. Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists. ear. January 2021;21(1):29-45. doi:10.21121/eab.874012
Chicago Aşkun, Volkan, Rabia Çizel, and Edina Ajanovıc. “Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists”. Ege Academic Review 21, no. 1 (January 2021): 29-45. https://doi.org/10.21121/eab.874012.
EndNote Aşkun V, Çizel R, Ajanovıc E (January 1, 2021) Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists. Ege Academic Review 21 1 29–45.
IEEE V. Aşkun, R. Çizel, and E. Ajanovıc, “Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists”, ear, vol. 21, no. 1, pp. 29–45, 2021, doi: 10.21121/eab.874012.
ISNAD Aşkun, Volkan et al. “Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists”. Ege Academic Review 21/1 (January 2021), 29-45. https://doi.org/10.21121/eab.874012.
JAMA Aşkun V, Çizel R, Ajanovıc E. Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists. ear. 2021;21:29–45.
MLA Aşkun, Volkan et al. “Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists”. Ege Academic Review, vol. 21, no. 1, 2021, pp. 29-45, doi:10.21121/eab.874012.
Vancouver Aşkun V, Çizel R, Ajanovıc E. Comparative Analysis of Factors Affecting Employee Performance According to Job Performance Measurement Method: The Case of Performing Artists. ear. 2021;21(1):29-45.