Reconceptualizing faculty workload as a measure of human resource motivation and performance in higher education

Abstract

This paper explores faculty workload as a measuring indicator that doubles as a motivator input and an output gauge of performance in higher education management. A desk-based methodology was applied. It was found that a number of studies support the use of faculty workload as a motivator and a measure of performance in higher education. It also noted that the use of faculty workload as a motivator; and measure of performance is faced with controversies typically emanating from the inability to determine the role of the variable in studies involving the use of it. © 2022 The Authors

Author(s)

Mushabe, Charles, Abreh, Might Kojo, Mills, Clara Araba

Year

2022

Countries

Language

English

Research Method

Literature Review

Article Type

Peer-Reviewed Articles

Keywords

Higher education | Teacher capacity | Teacher motivation | Teacher career | Excel Import

Full Citation Style

Mushabe, Charles, Abreh, Might Kojo, & Mills, Clara Araba (2022). Reconceptualizing faculty workload as a measure of human resource motivation and performance in higher education. Strategic Research Journal. https://doi.org/10.1016/j.ssaho.2022.100279
Mushabe, Charles, Abreh, Might Kojo and Mills, Clara Araba, 2022. Reconceptualizing faculty workload as a measure of human resource motivation and performance in higher education. Strategic Research Journal. Available at: <https://doi.org/10.1016/j.ssaho.2022.100279>
Mushabe, Charles, Abreh, Might Kojo, and Mills, Clara Araba. "Reconceptualizing faculty workload as a measure of human resource motivation and performance in higher education." Strategic Research Journal (2022). https://doi.org/10.1016/j.ssaho.2022.100279
Charles M, Kojo AM, Araba MC. Reconceptualizing faculty workload as a measure of human resource motivation and performance in higher education. Strategic Research Journal. 2022; https://doi.org/10.1016/j.ssaho.2022.100279

Research Team

Mushabe, Charles

Mushabe, Charles

Abreh, Might Kojo

Abreh, Might Kojo

Mills, Clara Araba

Mills, Clara Araba

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