Data on factors influencing the cost, time performance of the Industrialized Building System

The data article provides the factors that influence the cost; time performance of the Industrialized Building System (IBS), its prospects and challenges. A survey technique was used for this research. Structured Questionnaires were administered to occupants of prefabricated buildings and interviews were conducted with the professionals in the building industry. Statistical Package for Social Sciences (SPSS version20) was used to analyse the data obtained from the questionnaires. The variables were ranked based on Relative Importance Index (RII) calculation. The Data indicated that IBS would be more economical if used for mass production.


a b s t r a c t
The data article provides the factors that influence the cost; time performance of the Industrialized Building System (IBS), its prospects and challenges. A survey technique was used for this research. Structured Questionnaires were administered to occupants of prefabricated buildings and interviews were conducted with the professionals in the building industry. Statistical Package for Social Sciences (SPSS version20) was used to analyse the data obtained from the questionnaires. The variables were ranked based on Relative Importance Index (RII) calculation. The Data indicated that IBS would be more economical if used for mass production.
& 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Subject area
Building Construction More specific subject area Construction Management Type of data

How data was acquired
Field survey Data format Raw, filtered, analyzed data Experimental factors Statistical Package for Social Sciences (SPSS version20) was used for this research. Statistical tool such as descriptive tool was used to analyse the data obtained from questionnaires. Relative Importance Index (RII) was used to rank the variables.

Experimental features
Data was obtained from structured questionnaires administered to occupants of prefabricated buildings and interviews were conducted with the professionals in the building industry. Secondary data was also obtained from published journals, articles and thesis related to the subject of this research. The data was collated and analysed, using mean item score ranking, percentages and descriptive statistics.

Value of the data
This data provides a benchmark for further studies on the performance of the precast concrete system in the construction industry.
This data shows the significance of using Industrial Building Systems (IBS), its impact and valuable benefits of incorporating it in the industry.
This data shows cost-time effectiveness and perception of the implementation of the building system for policy making.
This data can be used to compare findings from other countries where this type of construction method is prevalent.

Data
The data article provides the factors that influence the cost; time performance of the Industrialized Building System (IBS), its prospects and challenges.

Data analysis and presentation
Data collected from the questionnaires administered to respondents were analysed and presented as follows. Table 1 shows the response rate, Table 2 shows the gender of the occupants, Table 3 shows years of occupying the building, Table 4 shows status of ownership, Table 5 shows monthly income of   occupants. Table 6 is on awareness of method of construction, Table 7 shows sources of information, Table 8 is on perception of occupants on cost performance, Table 9 is on susceptibility of building type to collapse and defects, while Table 10 shows the satisfaction of occupant, finally, Table 11 shows the challenges encountered by building occupants. Other relevant literature are can be found in [13][14][15][16][17][18][19][20][21][22][23][24]. Limited availability of personnel to repair damages 3 0.6 6 7 Expensive to maintain or repair 2.92 0.584 7 8 Problem of cracks and dampness on wall 2.68 0.536 8 9 Poor sound control 2.47 0.494 9