Examining the Role of Expectancy Theory of Motivation in Shaping Employee Performance in Remote Work Settings

Abstract

The remote work and employee performance dynamics of the changing world have shifted the employee motivation paradigm. This paper focuses on the analysis and design of employee performance related to remote work using Vroom's Expectancy Theory of Motivation. Specifically, the paper is primarily focused on the roles of expectancy, instrumentality, and valence, including their correlational effects on employee motivation and performance. A quantitative method that relies on survey data from 300 remote workers from various professions, including the technology, finance, and education sectors. The survey employed multi-dimensional scaling to measure the influence of expectancy, instrumentality, valence, and their influence on employee performance. The data was analyzed using Structural Equation Modeling (SEM) to examine the connections between these motivational elements and the performance outcomes. The outcomes showed that expectancy (path coefficient = 0.38) and instrumentality (path coefficient = 0.32) significantly and positively predict employee performance, with expectancy being found as the strongest predictor. Also, valence (path coefficient = 0.28) was identified to mediate the effect between motivation and performance, which means that those employees who value rewards more are more likely to demonstrate greater motivation and, accordingly, better performance. These results highlight the necessity of creating an inspirational climate that will benefit a remote-working environment. Organizations are advised to align the expectations of employees with the results that they can or will produce and to give meaningful and substantial rewards. HRM implications are seen in making sure that the skills of the employees are matched with their expectations and providing rewards that appeal to the personal and professional values of the employees.