Factors Affecting Labor Productivity in Iran Construction Industry
- Abstract
- Construction projects, as a labor-intensive industry, are directly involved with workforce management. Hence, the labor productivity issue is of remarkable interest in both the construction industry and academia because of its impact on time, cost, and quality of project. Due to the importance of labor productivity, an intensive literature review has been done to identify critical factors. However, a lack of previous studies on the causal relationships between labor productivity factors in the Iranian construction industry was discovered through the literature review. Hence, the study objective is to prioritize and highlight the factors most affecting construction labor productivity in Iran. The potential factors were identified and a questionnaire was prepared, including 33 factors, and it was then distributed among construction project managers who have more than 5 years of experience in the Iranian construction industry. Out of 200 questionnaires, 157 questionnaires were returned by participants. Of these, 152 valid collected data sets were analyzed through the Analytical Hierarchy Process (AHP) as a decision-making tool and the Structural Equation Model (SEM) as a multivariate analysis technique, in parallel for accuracy and reliability of findings. Findings from both tools, AHP and SEM, were compared. Eventually, "Labor Characteristics,‘‘ by 0.384 priority weights, was selected as the most prioritized criteria; "Tools and Equipment‘‘ was selected among six factors as the most common significant factor between both AHP and SEM, ranked by 0.191 priority weights in AHP and a 0.82 factor loading in SEM. Furthermore, "Lack of required tools and/or equipment‘‘ has been ranked as the most significant sub-criteria with 0.444 weights; "Delay‘‘ has been chosen as the most significant latent variable in SEM with a 0.83 factor lading. Moreover, the Key Labor Productivity Index (KLPI) proposed as a measurement index in order to evaluate and estimate the level of productivity level in construction sites. The results of the study would be valuable for any participants in the construction industry and academia, particularly civil engineers who are involved in Iranian or Middle Eastern construction projects.
- Issued Date
- 2018
- Awarded Date
- 2018. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 건설관리공학협동과정
- Advisor
- 김수용
- Table Of Contents
- ABSTRACT i
ACKNOWLEDGEMENTS iii
TABLE OF CONTENTS v
LIST OF TABLES viii
LIST OF FIGURES ix
1.INTRODUCTION 2
1.1.Background and Objectives 2
1.2.Scope and Methodology 3
2.LITERATURE REVIEW 7
2.1.Introduction 7
2.1.1.Labor Productivity 7
2.1.2.Definitions of Productivity and Labor Productivity 9
2.1.3.Labor Productivity as Gauging Construction Process Efficiency 14
2.1.4.Productivity Bench-marking 15
2.1.5.Labor and Equipment Productivity Metrics 18
2.1.5.1.Activity metrics 20
2.1.5.2.Input metrics 21
2.1.5.3.Output metrics 21
2.2.Identification of Factors Affecting Construction Labor Productivity 23
3.STATISTICAL ANALYSIS APPROACH 35
3.1.Mean Score 35
3.2.Exploratory Factor Analysis (EFA) 39
3.2.1.Introduction 39
3.2.2.EFA analysis 39
3.2.3.EFA Results 44
3.3.Confirmatory Factor Analysis (CFA) 45
3.3.1.Introduction 45
3.3.2.CFA Analysis 45
3.3.2.1.Internal Consistency 45
3.3.2.2.Discriminant validity: 46
3.3.3.CFA Results 53
3.4.Structural Equation Modeling (SEM) 54
3.4.1.Introduction 54
3.4.2.SEM analysis 55
3.4.3.SEM Results 59
4.DECISION MAKING APPROACH 61
4.1.Introduction 61
4.2.AHP analysis 62
4.3.AHP Results 72
5.DISCUSSION & RECOMENDATION 74
5.1.Comparison between SEM & AHP Findings 74
5.2.Measurement Methods and Improvement Techniques of Labor Productivity 78
5.2.1.Time and Motion Study 78
5.2.2.Work Sampling Method 80
5.2.3.Activity Sampling 81
5.2.4.Delay Survey Method 81
5.2.5.Audio-visual Methods 82
5.2.6.Secondary Data / Historical Data 82
5.2.7.Automated Methods 83
5.2.7.1.Using video cameras 83
5.2.7.2.Using the Kinect sensor 84
5.3.Estimation and Improvement of Labor Productivity Proposed by this Study 86
5.3.1.AHP Weighting Index: 87
5.3.2.SEM Weighting Index: 90
5.3.3.Labor Productivity Level Improvement Diagram 93
6.CONCLUSION 99
APPENDIX 101
REFERENCES 117
- Degree
- Doctor
- Appears in Collections:
- 대학원 > 건설관리공학협동과정
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