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

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’ mo...

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Main Authors: Muluken Yeheyis, Bahareh Reza, Kasun Hewage, Janaka Y. Ruwanpura, Rehan Sadiq
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2016-07-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/1883
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author Muluken Yeheyis
Bahareh Reza
Kasun Hewage
Janaka Y. Ruwanpura
Rehan Sadiq
author_facet Muluken Yeheyis
Bahareh Reza
Kasun Hewage
Janaka Y. Ruwanpura
Rehan Sadiq
author_sort Muluken Yeheyis
collection DOAJ
description 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.
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spelling doaj.art-d45812374ddf42bf880ea9609a92ff132022-12-21T20:48:19ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052016-07-0122710.3846/13923730.2014.914103Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theoryMuluken Yeheyis0Bahareh Reza1Kasun Hewage2Janaka Y. Ruwanpura3Rehan Sadiq4University of British Columbia, Okanagan Campus, 1137 Alumni Avenue, Kelowna, BC CanadaUniversity of British Columbia, Okanagan Campus, 1137 Alumni Avenue, Kelowna, BC CanadaUniversity of British Columbia, Okanagan Campus, 1137 Alumni Avenue, Kelowna, BC CanadaUniversity of Calgary, 2500 University Drive, NW, Calgary, AB CanadaUniversity of British Columbia, Okanagan Campus, 1137 Alumni Avenue, Kelowna, BC CanadaMeasuring 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.http://journals.vgtu.lt/index.php/JCEM/article/view/1883worker motivationworker motivationconstruction productivityexpectancy theoryfuzzy set theoryfuzzy rule-based model
spellingShingle Muluken Yeheyis
Bahareh Reza
Kasun Hewage
Janaka Y. Ruwanpura
Rehan Sadiq
Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
Journal of Civil Engineering and Management
worker motivationworker motivation
construction productivity
expectancy theory
fuzzy set theory
fuzzy rule-based model
title Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
title_full Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
title_fullStr Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
title_full_unstemmed Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
title_short Evaluating motivation of construction workers: a comparison of fuzzy rule-based model with the traditional expectancy theory
title_sort evaluating motivation of construction workers a comparison of fuzzy rule based model with the traditional expectancy theory
topic worker motivationworker motivation
construction productivity
expectancy theory
fuzzy set theory
fuzzy rule-based model
url http://journals.vgtu.lt/index.php/JCEM/article/view/1883
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AT baharehreza evaluatingmotivationofconstructionworkersacomparisonoffuzzyrulebasedmodelwiththetraditionalexpectancytheory
AT kasunhewage evaluatingmotivationofconstructionworkersacomparisonoffuzzyrulebasedmodelwiththetraditionalexpectancytheory
AT janakayruwanpura evaluatingmotivationofconstructionworkersacomparisonoffuzzyrulebasedmodelwiththetraditionalexpectancytheory
AT rehansadiq evaluatingmotivationofconstructionworkersacomparisonoffuzzyrulebasedmodelwiththetraditionalexpectancytheory