THE HUMAN RESOURCE PRACTICES IN EMPLOYEE PERFORMANCE: A SIGNIFICANT MANAGERIAL ISSUE

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DOI:

https://doi.org/10.29040/ijebar.v5i3.3093

Abstract

Professional Human Resource Management is needed starting from planning to achieving implementation to improve employee performance. The purpose of this study was to determine the extent of the influence of Emotional Quotient, individual characteristics, and communication on performance and to determine which of the three variables had the most significant effect. This research was conducted at the Tourism Office of Badung Regency, Bali Province, using quantitative methods. The sampling technique used is saturated sampling or census, in which all members of the population are used as samples with a total of 108 respondents. The data analysis technique used is multiple linear regression analysis using the smart PLS program. The results of the research show that each variable, namely Emotional Quotient, Individual Characteristics, and Communication has a positive and significant influence on employee performance. This study also indicates that Communication has the highest influence value with a path coefficient value of 0.462. The coefficient of determination (R2) of = 0.766 can be interpreted that the variables of Emotional Quotient, Individual Characteristics, and communication in influencing employee performance are 76.6%. The remaining 23.4% is explained by other variables not described in the model.

References

Aydogmus, C. (2016). How to satisfy generation Y? the roles of personality and emotional intelligence. International Review of Management and Business Research, 5(4, Part 1), 1342–1358.

Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980

Ghozali, I. (2015). Partial Least Square, Konsep, Teknik dan Aplikasi (2nd ed.). Semarang: Universitas Diponegoro.

Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool for Business Research. European Business Review, 26, 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.

Hair, Joseph F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications. (2nd ed.). SAGE Publications.

Hair, Joseph F, Black, W. C., Babin, B. J., & Anderson, R. Ec. (2014). Multivariate Data Analysis (MVDA). In Pearson Education Limited (7th ed.). Pearson Education Limited.

Husain, Z. (2013). Effective communication brings successful organizational change. The Business and Management Review, 3(2), 43–50. http://www.abrmr.com/myfile/conference_proceedings/Con_Pro_12315/7-dubai13.pdf

Pastor, I. (2014). Leadership and Emotional Intelligence: The Effect on Performance and Attitude. Procedia Economics and Finance, 15(14), 985–992. https://doi.org/10.1016/s2212-5671(14)00658-3

Pujiwati, A., & Susanty, E. (2015). The Influence Of Individual Characteristics And Work Motivation On Employee Performance. In Conference In Business, Accounting, And Management (CBAM), 46–52.

Robbins, S. P., & Timothy A. Judge. (2015). Perilaku Organisasi Organizational Behavior. Salemba Empat.

Shahhosseini, M., Silong, A. D., Ismaill, I. A., & Uli, J. N. (2012). The Role of Emotional Intelligence on Job Performance. International Journal of Business and Social Science, 3(21).

Stoner, J. A. F. (2006). Management Englewood Cliffs. N.J: Prentice Hall, Inc.

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Published

2021-08-31

How to Cite

Latupeirissa, J. J. P. (2021). THE HUMAN RESOURCE PRACTICES IN EMPLOYEE PERFORMANCE: A SIGNIFICANT MANAGERIAL ISSUE. International Journal of Economics, Business and Accounting Research (IJEBAR), 5(3), 2063–2071. https://doi.org/10.29040/ijebar.v5i3.3093

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