Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory

    Muluken Yeheyis Info
    Bahareh Reza Info
    Kasun Hewage Info
    Janaka Y. Ruwanpura Info
    Rehan Sadiq Info
DOI: https://doi.org/10.3846/13923730.2014.914103

Abstract

Measuring workers’ performance and the level of motivation is of paramount importance as the productivity of workers at a workplace primarily depends upon their level of motivation. However, measuring the level of workers’ motivation at workplace is not always straightforward because the workers’ motivation is a function of various personal and external factors. This paper proposes a fuzzy rule-based model for evaluating the motivation level of construction workers using their working patterns. The motivation level evaluated using the fuzzy rule-based model was compared with motivational levels determined by the traditional Vroom’s expectancy theory or Expectancy-Instrumentality-Va­lence (EIV) method. EIV method used questionnaire surveys and interviews to determine workers’ motivation. The results of fuzzy rule-based models aligned closely with the EIV model, especially for the middle range of motivation levels. Compared to traditional EIV model, the fuzzy rule-based system is simple to implement and found to be very pragmatic in construction field settings.

Keywords:

worker motivationworker motivation, construction productivity, expectancy theory, fuzzy set theory, fuzzy rule-based model

How to Cite

Yeheyis, M., Reza, B., Hewage, K., Y. Ruwanpura, J., & Sadiq, R. (2016). Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory. Journal of Civil Engineering and Management, 22(7), 862-873. https://doi.org/10.3846/13923730.2014.914103

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July 12, 2016
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2016-07-12

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How to Cite

Yeheyis, M., Reza, B., Hewage, K., Y. Ruwanpura, J., & Sadiq, R. (2016). Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory. Journal of Civil Engineering and Management, 22(7), 862-873. https://doi.org/10.3846/13923730.2014.914103

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