Open AccessRELATIONSHIP OF EFFORT IN BUILDING INFORMATION MODELLING DATA CREATION TO BIG DATA PROGRESSION: A PILOT STUDY
Author(s) -
Faris Hyder Ali,
Shamsulhadi Bandi
Publication year - 2021
Publication title -
journal of information system and technology management
Language(s) - English
Resource type - Journals
ISSN - 0128-1666
DOI - 10.35631/jistm.624012
Subject(s) - data collection , credibility , big data , context (archaeology) , data science , building information modeling , scale (ratio) , computer science , reliability (semiconductor) , engineering , process management , knowledge management , operations management , data mining , paleontology , power (physics) , statistics , physics , mathematics , quantum mechanics , biology , political science , scheduling (production processes) , law
The construction industry is developing steadily from time to time through the infusion of technologies. Though there are several kinds of technologies that have been already adopted, Building Information Modelling (BIM) software has a vital role in the evolution of construction technologies since it is considered as digital working strategy and method capable to integrate various applications. This circumstance gives rise to the explosion of BIM data through the integration where it sparks the relevancy of big BIM data in construction. However, the creation of BIM data in the context of big data still remains uncertain due to the incognizant state of effort being imposed in the generation of data. Therefore, a study to determine the relationship of the current effort in BIM data creation towards big data progression in construction is being carried out. Before carrying out the research main/large scale data collection, this research has been undergone through smaller-scale data collection which is a pilot study. The pilot study was administered via a survey questionnaire to 30 BIM modellers in the Klang Valley to scrutinize the credibility of the instrument to be utilized in the study later. Thus, this paper reports partly the outcome of the pilot study which sought to appraise the reliability of the instrument and the data normality as a prerequisite step to conduct an inferential analysis at a much later stage of the research. The questionnaire for the pilot test was distributed to BIM modellers within Klang Valley. Through the study conducted, it has been found that the instrument developed is reliable and the most suitable analysis method is a non-parametric test which is Spearman’s correlation due to non-normal distribution.