Relationship between contractor satisfaction and project management performance

Skitmore, Martin; Xiong, Bo; Xia, Bo; Masrom, Asrul Nasid; Newton, Sidney

doi:10.5130/ajceb.v20i4.7366

Cited by 8 publications

(7 citation statements)

References 66 publications

(113 reference statements)

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“…Based on the interrelations and the feedback, the ANP allows the calculation of the overall importance of criteria and the overall perspective level of every sub-factor [37,38]. The final step involves evaluating the user perspective level for a sustainable building using the user responses collected on a 5-point Likert scale: very dissatisfied, dissatisfied, medium, satisfied, and very satisfied [39][40][41]. In this regard, the users' perspective levels are demonstrated in the form of fuzzy membership functions to simulate the uncertainties linked with experts' judgements.…”

Section: Research Frameworkmentioning

confidence: 99%

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

et al. 2022

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Decreasing the impact of educational buildings on the environment is a primary concern of the sustainable building movement. However, limited research has centered on improving educational building sustainability from users’ perspectives. This study aims to determine an overall user perspective satisfaction scale (OUPS) for post-secondary educational buildings, determine the factors and sub-factors that affect users’ perspectives, and create a building sustainability platform for evaluating user satisfaction. The main goal of the developed model is to offer facility managers the current users’ perspectives on post-secondary educational buildings to improve sustainability from users’ perspectives. The results revealed a significant influence of thermal comfort (40%) and aesthetics (22%) on users’ perspectives. The developed model was validated by experts working in the facility management field and they acknowledged it as having good potential. This work first utilized the Fuzzy Analytic Network Process (FANP) modelling technique to determine weights for each factor and sub-factor and then employed the fuzzy expert system to develop an OUPS. Questionnaire responses and interviews with facility managers and users were used to develop these models for a case study of the M.B. building at Concordia University in Montreal, Quebec.

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Section: Research Frameworkmentioning

confidence: 99%

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

et al. 2022

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“…Xiong et al (2014) discussed that previous satisfaction research in the construction industry was concerned more about client satisfaction, carried out a study in Malaysia, and proposed a contractor selection model based on structural education modeling. Skitmore et al (2020) explored the role of contractor satisfaction in affecting contractor project management performance along with considering the external effects of other key participants. The study applied structural equation modeling techniques and found that it was insufficient to conclude contractor satisfaction influences project managerial performance or vice versa and satisfaction disaggregation was required.…”

Section: Literature Reviewmentioning

confidence: 99%

Building Construction Clients’ Design Consultant and Contractor Selection Criteria Versus Post-Occupancy Satisfaction Levels

Egemen

2022

SAGE Open

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In today’s competitive building construction markets, achieving clients’ satisfaction is of utmost importance. The choice of a design consultant and a contractor for a building project has a crucial influence on the post-occupancy satisfaction of the client. Hence, this study provides insights into private building construction clients’ perceptions of a set of criteria contributing to their selections of design consultant and contractor together with the resulting post-occupancy overall client satisfaction levels eventually reached, by presenting survey findings of 330 clients in North Cyprus construction market. Unlike previous studies, the current study combined all the interrelated and vital stages of design consultant and contractor selection with post-occupancy client satisfaction levels. A further contribution is differentiating among various types of client groups’ behaviors in each of the three specified stages. Clients in different categories had distinct approach differences in selection stages, and different post-occupancy satisfaction values indicating that firms may benefit from market segmentation. “Residential” and “<120,000£” type building clients were the least satisfied groups, while “project execution stage” and “functionality” emerged as major features creating dissatisfaction. The findings revealed the importance attached by the clients to “references about the firm” in the selection stages and low client satisfaction with the completed projects. Regression analysis findings revealed different design consultant and contractor selection factors predicting overall clients’ satisfaction while assigning high importance to the “cost-effectiveness approach of the firm” emerged as the only strong predictor of dissatisfaction. This study provides a guide for building construction clients to attain higher post-occupancy satisfaction and assists design consultants and contractors in adopting specific customer-focused strategies.

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“…This process is repeated until no significant independent variables are selected into the regression equation, and all insignificant independent variables are eliminated from the regression equation. Based on this, the BIM technology tunnelling parameters and the combination of tunnelling parameters and rock strength are respectively subjected to multiple stepwise regression [11]. Stepwise regression's calculation and implementation process is still automatically completed on the computer using SPSS software to obtain model 3 and model 4.…”

Section: Multiple Stepwise Regressionmentioning

confidence: 99%

Engineering project management based on multiple regression equation and building information modelling technology

Yu¹,

Abdulrazzqa

2021

Applied Mathematics and Nonlinear Sciences

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To realise the optimisation of Building Information Modelling (BIM) technical engineering project management, the paper conducts data investigation and analysis of the technical problem which deals with a specific power grid tunnel construction. This article uses BIM to sample considerable data information for the construction and management of power grid tunnels. According to the geological factors of rock strength in construction, the fuzzy information fusion method is used to carry out the feature fusion and adaptive scheduling of management information. We will extract the characteristics of each surrounding rock category's geological BIM information association rules and use the multiple regression analysis methods to carry out the BIM information fusion and adaptive scheduling of the tunnel construction project management. The study results confirm the conclusion that the predicted scores are in good agreement with the geological scores on site.

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Relationship between contractor satisfaction and project management performance

Cited by 8 publications

References 66 publications

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

Building Construction Clients’ Design Consultant and Contractor Selection Criteria Versus Post-Occupancy Satisfaction Levels

Engineering project management based on multiple regression equation and building information modelling technology

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