Abstract

It is undeniable that construction managers play a significant role within construction phase, especially when they are representing construction contractor, one of the key stakeholders within construction project’s realm. Reliance towards their technical competency is very much needed for a successfulness of a construction project. Unfortunately, a lot of recurring issues pertaining to their technical incompetency are shrouding the industry. Non-existence of term of reference for construction manager’s technical competency profile is dictated as a major setback. Thus, a dedicated and comprehensive research exploration is conducted in order to bridge the gap through establishment of particular competency. Hence, in this instalment, the authors postulated a question of ‘how?’ which pillars on items’ importance level and correlation among different contractors’ demographics. Initially, data screening processes over outliers test, reliability test, and normality test were conducted. After that, the importance of technical competency for construction manager was analysed based on their central tendency (i.e. means). Finally, Spearman correlation analysis is directed towards observed ranks from diverse contractors’ demographics. In a nutshell, data was free from any extreme outlier and reported high reliability value. However, data was measured as non-normal in nature. Meanwhile, through means, majority of macro items (16 items) were in a range of important (4.00) to very important (5.00). Towards the end, findings for Spearman correlation analysis were mostly leaning towards moderate and strong association’s strength across different clusters of diverse contractors’ demographics. Nevertheless, there were evidences that major variability of findings for both tests is exhibited through contractors’ grades. Therefore, succeeding in-depth quantitative analysis is paramount in order to pin-point significant values onto each individual item.

Highlights

  • The Construction Industry Transformation Programme (CITP) which kicked in from 2016 to 2020 was a continuous effort steered by the Construction Industry Development Board (CIDB) Malaysia

  • Following the previous several presented papers as in Yaman et al [7], Mohammad et al [6], and another one on dimensionality of items [18], this instalment proceeds with subsequent analysis on quantitative perspective as these question arose; how important are the generic technical competency of construction manager towards grade, respondents’ positions, and years of experience on Malaysia’s contractors? The need to preliminarily validate by analysing the importance of the technical competency and summing up generalised perceptions throughout entire country is paramount before subsequent detail analysis is conducted

  • The authors tried to disseminate critical information through in-depth analysis towards collected data pertaining the importance of technical competency of construction manager

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Summary

Introduction

The Construction Industry Transformation Programme (CITP) which kicked in from 2016 to 2020 was a continuous effort steered by the Construction Industry Development Board (CIDB) Malaysia. Knowing the severe impact that will be brought into the industry, change is imminent for indigenous contractors They must equip themselves with sufficient competency, especially in technical aspects (comprises of knowledge and skills) which become one of the key to construction successfulness, and further differentiate them with other construction practitioners [6,7]. Following the previous several presented papers as in Yaman et al [7], Mohammad et al [6], and another one on dimensionality of items [18], this instalment proceeds with subsequent analysis on quantitative perspective as these question arose; how important are the generic technical competency of construction manager towards grade, respondents’ positions, and years of experience on Malaysia’s contractors (minus contractor’s category, since they can have more than one category)? The succeeding topics were brought forward which encompasses screening processes of collected data, a series of central tendencies’ analysis, and simple correlation analysis, which precisely presented in a step-by-step undertakings (n.b. discussions for overall quantitative paradigm can be found in [18])

Data screening processes
STAFF 2 MATERIALS 1 3 MATERIALS 2 4 LABOUR 5 PLANT 1 6 PLANT 2
Central tendency analysis
Nonparametric correlation analysis
Findings
Conclusion and way forward
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