
Value Engineering Practices in The Libyan Construction Industry: A Preliminary Study
Author(s) -
M. M. Elsonoki,
Riduan Yunus
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/498/1/012109
Subject(s) - cronbach's alpha , delphi method , delphi , test (biology) , sample (material) , reliability (semiconductor) , sample size determination , simple random sample , operations management , data collection , statistics , engineering , operations research , mathematics , computer science , medicine , descriptive statistics , population , environmental health , paleontology , power (physics) , chemistry , physics , chromatography , quantum mechanics , biology , operating system
The current reconstruction of Libya infrastructure requires the implementation of Value Engineering (VE) in the Libyan Construction industry for minimization of waste and efficient use of available resources. The purpose of this paper is to present a preliminary findings on the assessment of the current VE practices and factors that could influence the adoption of VE in the Libyan Construction industry. This study uses a quantitative approach to achieve the objectives. A pilot test was conducted prior to conducting a Delphi study. This is to ensure that participants of Delphi study understand the questions they are required to answer. A total of thirty (30) respondents participated in the pilot test. The purpose of pilot study is to verify and validate the questionnaire form that will be used in the Delphi study. With some minor changes, the Delphi study was conducted in four (4) rounds with participation of 31 respondents. Then, the data was analyzed using Statistical Package for Social Sciences (SPSS) version 20. The Cronbach Alpha values of the variables are between 0.692 and 0.92. This result showed that the reliability test result is within the acceptable values. The sample size for the main survey was determined by using the Slovin’s formula. Using a simple random sampling technique, a total of 390 respondents were determined as the minimum sample size for this study.