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FACTORS AFFECTING EMPLOYEE PRODUCTIVITY IN THE UAE CONSTRUCTION INDUSTRY NABIL AILABOUNI A thesis submitted in partial fulfilment of the requirements of the University of Brighton for the degree of Doctor of Philosophy September 2010 School of Environment and Technology University of Brighton Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 ABSTRACT Reliable productivity rates for construction trades are essential for contractors to accurately estimate the time and cost of construction projects. These rates vary considerably based on the complexity of the structure, project site constraints, and other technical, managerial, social and cultural factors. Predicting the effect of these factors will enhance the ability of the contractor to optimally utilize resources. This research therefore aims to evaluate the most significant factors that affect productivity of key construction activities namely: excavation, formwork, reinforcement, concreting, blockwork, plastering and tiling. The research focuses on the construction industry in the UAE (United Arab Emirates). Literature review of the classical management theories and contemporary works on construction productivity led to the identification of four generic factors affecting productivity: Environmental, Organizational, Group Dynamics and Individual Factors. Three questionnaire surveys were undertaken to identify the most significant factors and the magnitude of their effect on productivity. The first survey identified the most significant factors after ranking them according to a severity index. The other two surveys identified the magnitude of the effect of these factors on productivity. The research used Chi Square Test for Significance, which identified - Work Timings, Control by Supervision, Group Dynamics, Control by Procedures, Climatic Conditions and Material Availability as the most significant factors affecting productivity. Six sites were selected for data collection for productivity rates of the key construction activities. The significant factors were varied at three ordinal levels that afforded practical variations at site. The increase or decrease in productivity obtained was compared to the actual site average productivity and then subjected to regression analysis using MINITAB 15 – Statistical Software. This resulted in the development of a regression model for each of the seven key construction activities. Four other construction sites were selected and used for validation of the developed models. The developed models have been used to evaluate the variability in productivity of construction activities and to predict the percentage change in productivity of the selected activities when the underlying variables are varied. Review of the coefficients of the factors in the individual regression models afforded insight into those that most affect productivity of the selected construction activities. This intelligent information can help site management to create favourable conditions on site aimed at enhancing productivity rates and therefore optimal utilization of resources. *** ii Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 TABLE OF CONTENTS No Description Page No. ABSTRACT……………………………………………………………………… ii TABLE OF CONTENTS…………………………………………………………. iii 1 RESEARCH INTRODUCTION………………………….…………….. 1 1.0 Chapter 1 – Introduction……………………………………………. 2 1.1 Need for Research …………….……………………………………. 3 1.1.1 Gap in Knowledge…………………………………………………........ 4 1.2 Research Aim……………………………………………………….. 9 1.2.1 Research Objectives………………………………………………… 9 1.3 Scope of Research …………………………………………………. 9 1.3.1 Definition of Productivity………………………………………………… 10 1.4 Brief Outline of Research ….………………………………… 12 1.4.1 Review of Existing Literature and Publications………………………. 15 1.4.2 Data Collection: Survey for Significant Factors……………………… 16 1.4.3 Data Collection: Surveys for Effect of Significant Factors…………. 17 1.4.4 Data Collection: Statistical Tests for Significance using Chi Square 18 1.4.5 Field Data Collection………………………………………………………. 18 1.4.6 Homogenization of Data…………………………………………………… 20 1.4.7 Regression Analysis using MINITAB 15 software……………………… 21 1.4.8 Validation of the Models…………………………………………………... 22 1.4.9 Model Application……..…………………………………………………… 23 1.5 Chapters Summaries ……………………………………………………… 24 1.6 Conclusion……………………………………………………………... 28 2 LITERATURE REVIEW………………………………………………… 30 2.0 Chapter 2 – Introduction…………………………………………….. 31 2.1 Management Theories……………………………………………….. 35 2.1.1 The Classical Approach…………………………………………………. 35 2.1.2 The Human Relations Approach……………………………………….. 37 2.1.3 The Systems Approach…………………………………………………… 38 iii Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 2.1.4 The Contingency Approach……………………………………………... 39 2.2 Common Factors in Organizations…………………………………... 39 2.3 Theories of Motivation………………………………………………. 41 2.3.1 Early Theories…………………………………………………………….. 43 2.3.2 Modern Theories: Content Theories of Motivation………………….. 44 2.3.3 Modern Theories: Process Theories of Motivation……………......... 49 2.4 Construction Industry Related Productivity Studies…………………. 52 2.4.1 Factors Affecting Productivity (A review of contemporary publications)………………………………………………………………. 53 2.4.2 Factors Affecting Motivation of Construction Operatives (A review of contemporary publications)…………………………….. 61 2.5 Background to the UAE Construction Industry ……………………... 71 2.5.1 Economic Characteristics of the UAE Construction Industry……… 71 2.5.2 UAE Labour Market……………………………………………………… 77 2.5.3 Demographic Influence and Cultural Backgrounds………………… 78 2.5.4 Environmental Conditions……………………………………………….. 79 2.5.5 UAE Statutory Laws……………………………………………………… 79 2.5.6 No Trade Unions………………………………………………………….. 80 2.5.7 UAE National Workplace Employment Relations Survey….............. 81 2.6 Factors Affecting Productivity in the UAE Construction Industry…. 84 2.6.1 Environmental Factors…………………………………………………... 87 2.6.2 Organizational Factors………………………………………………….. 89 2.6.3 Group / Team Factors………………………………………………….... 94 2.6.4 Personal Factors…………………………………………………………. 95 2.7 Conclusion ……….…………………………………………………. 97 3 RESEARCH METHODOLOGY………………………………………. 99 3.0 Chapter 3 – Introduction………………………………....................... 100 3.1 Outline of Research Methodology…………………………………… 100 3.2 Development of Methodology………………………………………. 102 3.3 Survey Questionnaire Design………………………………………... 104 3.4 Identification of the Significant Factors Affecting Productivity in the UAE...................................................................................................... 104 iv Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 3.5 Perception Surveys for the effect on productivity (Survey No’s 2 & 3)…………………………………………………. 112 3.6 Analysis of the Results of the Perception Surveys (2) and (3)…….. 121 3.7 Chi-Square Test for Significance …………………………………… 122 3.7.1 Chi-Square Test for Significance (Internal Perception Survey)….. 122 3.7.2 Chi-Square Test for Significance (External Perception Survey ….. 123 3.8 Field Data Collection………………………………………………… 127 3.8.1 Case Study Company ……………………………………………………. 127 3.8.2 Field Data Collection ………………………………………….………... 127 3.9 Technical Factors Affecting Productivity…………………………… 133 3.9.1 Type of Projects…………………………………………………………... 134 3.9.2 Technical Nature of the Trades ………………………………………… 134 3.10 Conclusion…………………………………………………………… 137 4 DATA COLLECTION, DATA ANALYSIS AND THE DEVELOPMENT OF PRODUCTIVITY EVALUATION MODEL... 139 4.0 Chapter 4 – Introduction…………………………………………….. 140 4.1 Productivity Model: Overall Versus Individual Construction Trades … 141 4.2 Data Collection and Analysis………………………………………... 143 4.3 Definition of Statistical Parameters Used…………………………… 147 4.3.1 R2 – Coefficient of Determination ....………………………………….. 147 4.3.2 d – Durbin Watson Statistic ………………….……………..…….……. 147 4.3.3 Alpha (α) – Level of Significance……………………….....…………... 148 4.3.4 p-Value ……………………….………………….………………………. 149 4.4 Model Formulation ………………….………………………………. 149 4.4.1 Homogenization of Field Data………………………………………….. 150 4.4.2 Statistical Modelling Using MINITAB 15 Software…………………. 153 4.5 Regression Models For Productivity of Construction Trades……….. 157 4.5.1 Regression Model for the Excavation Trade…………………………. 158 4.6 Conclusion…………………………………………………………… 180 v Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 5 MODEL VALIDATION AND EVALUATION OF VARIABILITY OF PRODUCTIVITY ….……………………………...........................… 182 5.0 Chapter 5 – Introduction…………………………………………….. 183 5.1 Background Considerations…………………………………………. 183 5.2 Sites Used for Model Validation……………………………………. 185 5.3 The Validation of the Model ………………………………………… 186 5.4 Validation Excavation Productivity Model –ARS Site …………….. 191 5.5 Validation Results ……………………….…………………………... 198 5.6 Evaluation of Factors Affecting Productivity……………….………. 201 5.7 Conclusion …………………………………………………………... 205 6 CONCLUSION...............………………………………………………….. 207 6.0 Chapter 6 – Introduction……………………………………………….. 208 6.1 Work Accomplished & Challenges Faced …………………………….. 208 6.1.1 Data Collection Techniques and Accuracy …………………………... 210 6.1.2 Broad Topic of Construction Productivity and Several Factors in Combination ………………………………………………….. 211 6.1.3 Understanding Technical Issues with Productivity Numbers ………. 212 6.1.4 Short Term Nature of Construction Projects …………………………… 212 6.2 Fulfilment of Research Aim and Objectives …………….…………….. 213 6.3 Practical Utilization of Model …………………………………………. 214 6.4 Possible Improvements in the Model ………………………………….. 216 6.5 Conclusion……………………………………………………………... 220 6.6 Areas for Future Research …………………………………………….. 227 REFERENCES……………………………………………………………………… 230 BIBLIOGRAPHY………………………………………………………………….. 237 LIST OF APPENDICES…………….................…………………………………. 245 Appendix 1 Master Field Data for Model Formulation ....................... 246 - 263 Appendix 2 Master Field Data for Model Validation ......................... 264 - 285 Appendix 3 Questionnaire Formats Used ............................................ 286 - 294 vi Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 Appendix 4 Collection of Productivity Modelling Data & Graphs….. 295 - 323 For Excavation, Formwork, Reinforcement, Concreting, Blockwork, Plastering and Tiling Works Appendix 5 Collection of Validation Data & Graphs ................................. 324 - 348 For Excavation, Formwork, Reinforcement, Concreting, Blockwork, Plastering and Tiling Works Appendix 6 Predicted Productivity for all Possible Combinations of Factor Levels ................................................................. 349 - 383 Appendix 7 Statistical Tables and Definitions ..................................... 384 - 396 Appendix 8 Project Profiles ................................................................. 397 - 407 *** vii Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 LIST OF TABLES CHAPTER 1 Table 1.1 Construction Trades and Productivity Factors for Field Data Collection…………………………………………. 19 CHAPTER 2 Table 2.1 Factors Affecting Job Satisfaction………….…………………….. 48 Table 2.2 Literature Review Matrix: Collection Of Factors Affecting Construction Productivity (General) …………………………….. 59 Table 2.3 Motivating Factors in Construction Industry…….……………….. 63 Table 2.4 Motivators and De-Motivators Ranked By Workers in Thailand…. 64 Table 2.5 Differences in Project Characteristics with High/Low Productivity 66 Table 2.6 Literature Review Matrix: Motivating Factors in the Construction Industry……………..……………………………………………… 68 Table 2.7 Literature Review Matrix: Factors Affecting Construction Productivity across Countries……………………………………… 70 Table 2.8 Construction Industry Characteristics…………………………...… 76 Table 2.9 2001 UAE National Workplace Employment Relations Survey Results……………………………………………………………… 83 Table 2.10 Comprehensive List of Factors Affecting Productivity: UAE Construction Industry……………………………………….……... 86 CHAPTER 3 Table 3.1 Survey(1) Response Reckoner…………………………………….. 105 Table 3.2 Significant Factors Affecting Productivity (First 8 within Groups). 110 Table 3.3 Significant Factors Affecting Productivity in Matrix Form……….. 111 Table 3.4 Significant Factors Affecting Productivity (Fourteen Factors with Highest Ranks)………………………………………………... 112 Table 3.5 Perception Survey (2) (Internal): Summary Results……………… 114 Table 3.6 Perception Survey (2) (Internal) : Summary Percentages…..…….. 115 Table 3.7 Perception Survey (2) (Internal): Weighted Averages…………… 116 Table 3.8 Perception Survey (3) (External): Summary Results……………… 117 Table 3.9 Perception Survey (3) (External): Summary Percentages………… 118 Table 3.10 Perception Survey (3) (External): Weighted Average Result…….. 119 viii Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 Table 3.11 Combined Analysis % Wise – Perception Surveys (2) & (3) ……... 120 Table 3.12 Chi-square Computations: Survey Data – Productivity Factors And Their Effects – Internal Survey……………………………... 124 Table 3.13 Chi-square Computations: Survey Data – Productivity Factors and their Effects – External Survey…………………………….............. 125 Table 3.14 Field Variables Using Weighted Averages from Survey 2 & 3…… 126 Table 3.15 Sample Sites and Activities under Study for Productivity……….. 129 Table 3.16 Range Of Productivity Values – Trade Wise / Site Wise……….. 132 Table 3.17 Factor Levels Used For Data Collection…………………………. 133 CHAPTER 4 Table 4.1 Brief Profile of Construction Projects Used For Field Data Collection…………………………………………………………. 144 Table 4.2 Summary of Data Collected and Used For Formulating Model… 146 Table 4.3a Excel Sheet Used For Model Formulation – Excavation………… 159 Table 4.3b Regression Models – Iteration Summary for Excavation………… 170 Table 4.4 Final Regression Models…………………………………………... 173 Table 4.5 Major Productivity Contributing Factors…………………………. 174 Table 4.6 Extracts from Appendix 5-8a: Excavation Trade productivity at Various Runs /Levels of Factors………….. 179 CHAPTER 5 Table 5.1 Construction Sites Used For Model Formulation and Validation… 185 Table 5.2 Validation Data for Excavation - ARS Site………………………... 192 Table 5.3 Grand Summary of Validation Data and Results………………….. 200 Table 5.4 Summary of Productivity Models………………………………….. 201 Table 5.5 Major Productivity Contributing Factors per Construction Trade… 202 *** ix Factors Affecting Productivity in the UAE Construction Industry, Nabil Ailabouni, 2010 LIST OF FIGURES CHAPTER 1 Fig. 1.1 Overview of the Research ………………………………………… 14 CHAPTER 2 Fig. 2.1 Organizational Sub- Systems……………………………………… 40 Fig. 2.2 Maslow’s Hierarchy of Needs Pyramid…………………………… 45 Fig. 2.3 Factor Model of Construction Labour Productivity………………. 57 Fig. 2.4 General Categories of Factors Affecting Productivity……………. 84 CHAPTER 3 Fig. 3.1 Overview of the Research………………………….. …………….. 101 Fig. 3.2 Snapshot of Survey (1) Questionnaire……………………………. 104 Fig. 3.3 Extract of Survey (1) Results For Sample Computation………….. 107 Fig. 3.4 Questionnaire Design for Survey 2 & 3…………………..………. 113 CHAPTER 4 Fig. 4.1 Snapshot of Excel Sheet for Model Formulation - Excavation Trade………………………………………………………………. 151 Fig. 4.2 Flow Chart : Homogenization of Field Data……………………… 153 Fig. 4.3 Grab of Minitab 15 Menu- Stat-Regression- Graphs …………….. 155 Fig. 4.4 Flow Chart : Statistical Modelling Using MINITAB 15 Software.. 156 Fig. 4.5a Iteration 1- Excavation Modelling Graphs………………………… 163 Fig. 4.5b Iteration 2- Excavation Modelling Graphs………………………… 165 Fig. 4.5c Iteration 3- Excavation Modelling Graphs………………………… 167 Fig. 4.5d Iteration 4- Excavation Modelling Graphs………………………… 169 Fig. 4.6a Graphical Representation of Factors affecting Excavation ………. 175 Fig. 4.6b Graphical Representation of Factors affecting Formwork ………… 175 Fig. 4.6c Graphical Representation of Factors affecting Reinforcement …… 176 Fig. 4.6d Graphical Representation of Factors affecting Concreting ……….. 177 Fig. 4.6e Graphical Representation of Factors affecting Blockwork ……….. 177 Fig. 4.6f Graphical Representation of Factors affecting Plastering….……… 178 Fig. 4.6g Graphical Representation of Factors affecting Tiling…….……….. 178 x

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Reliable productivity rates for construction trades are essential for contractors to accurately 1.4.3 Data Collection: Surveys for Effect of Significant Factors…………. 17. 1.4.4 Data Collection: Statistical Tests for Significance using Chi Square 18 2.3.2 Modern Theories: Content Theories o
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