4.1. Demographic Characteristics of Survey Respondents
Table 2 presents the demographic characteristics of the respondents for the study. The result shows that the respondents mainly worked for main contractors (48.7%) and client organisations (46.7%). Main contractors are responsible for executing and implementing SWC, while clients are usually responsible for giving instruction and spot-checking the performance of SWC implemented by the main contractors. The least represented groups are project consultants and trade subcontractors. The data received from this study was strongly believed to show the effectiveness of SWC in the viewpoints of both implementers and checkers. Furthermore, 99.5% of the respondents were from site supervisory levels or above. These respondents should be partly or fully responsible for managing SWC on their engaged construction projects. More specifically, the senior management level (11.2%) and project management level (49.2%) are accountable for allocating sufficient resources in implementing SWC. They decide the overall working strategies of executing and monitoring SWC. In terms of working experience, the result further shows that 79.2% of the respondents have five years and above working experience, with 32% recording more than 20 years. On average, the respondents for the study have been in the industry for at least 14 years. This indicates that the participants in this study have vast experience in the construction industry, and the answers were based on experience.
In terms of the respondents’ involvement in SWC projects, the result shows that all respondents had experiences in projects with SWC, with 65.5% of respondents being involved in four or more construction projects that adopted this safety initiative. Nearly 26% of respondents worked on ten or more construction projects that adopted SWC. On average, the respondents for the study have executed six projects using SWC to ensure site safety. This indicated that the comments given by respondents are highly valuable in reviewing the implementation of SWC. However, since implementing SWC is not compulsory for all construction projects, 72.6% of respondents stated contractual requirements as the major reason for implementing SWC in the projects they executed. Only 16.7% of the respondents implemented SWC in their engaged projects voluntarily. However, 4.6% of the respondents were unsure of the reason for implementing SWC. This result confirms that SWC is being used for construction project delivery in Hong Kong.
4.2. Effectiveness of the Elements of Safe Working Cycle
Following the understanding that SWC is adopted within Hong Kong’s construction industry, it became apparent to ascertain the initiative’s effectiveness. To this end, the respondents were asked to rate the effectiveness of the SWC in terms of improved site safety performance. The relevant results are shown in
Figure 3 and
Figure 4. Almost all the respondents found SWC effectively improved site safety performance.
Figure 3 revealed that 180 out of the 197 respondents commented that SWC was fairly effective (86), very effective (87), or even extremely effective (7) in improving site safety performance.
Figure 4 further revealed that 123 out of 197 respondents found SWC to give good (90), very good (32) or even excellent (1) safety performance compared to non-SWC construction projects. These figures proved the positive values of implementing SWC in construction projects in Hong Kong.
To further ascertain the effectiveness of SWC to deliver safe construction projects, the respondents rated the effectiveness of the different elements of SWC on a scale of one to five, where one is ineffective, and five is most effective. The result in
Table 3 shows the ranking of 15 SWC items by the respondents. Since the client and contractors are the two major players in implementing SWC on any given project, their ranking was also presented on the table. The statistical differences in the ranking of these SWC items by both groups (client and contractor) were tested using the
M–W test. This test is a non-parametric test used to assess the significant difference in the view of two groups of respondents. The test gives a
Z-value and a
p-value [
62]. Items with a
p-value < 0.05 indicate a statistically significant difference between client and contractor groups. From the client’s group (i.e., those working in government organisations responsible for public construction works),
Table 3 revealed that safety inspections conducted daily (
= 3.78), weekly (
= 3.71) and monthly (
= 3.67) were identified as the most effective SWC items needed in improving site safety performance. This result stems from the role of the client’s group in instructing guidelines and requirements and providing supervision and advice on a construction project. From the contractor’s group, the result revealed weekly inspection and checkups (
= 3.80), daily safety inspection (
= 3.87), and safety committee meetings (
= 3.76) as the most effective SWC items.
From a unified perspective, the overall ranking by the respondents revealed that all the 15 assessed items are effective in the delivery of safe construction projects as they all had a
value of the above-average of 3.0. However, both daily and weekly safety inspections were the most effective SWC items. These items shared a
value of 3.79 each. More so, supervision and monitoring of work (
= 3.69;
p-value = 0.326), monthly safety committee meetings (
= 3.68;
p-value = 0.136) and daily safety briefing meetings (
= 3.67;
p-value = 0.538) were found highly effective on construction sites. The derived
p-value for these variables from the
M–W test were all above the threshold of 0.05, thereby implying that no significant statistical difference exists between the two groups regarding these most effective SWC items. Also, in assessing the relatedness of the respondents ranking within the groups, the
χ2 analysis derived from the Kendall’s
W test conducted revealed that the calculated
χ2 values for all respondents (110.36) and the different groups (34.24 and 88.80) is greater than the critical
χ2 value (23.69) derived from the statistical table. This result shows that the ranking by the respondents is related to each other within the groups, and no disparity exists [
66].
Spearman’s rank-order correlation test was conducted to affirm further the relationship in the view of both groups of respondents (client and contractor). This test is used to calculate the strength of the relationship between two continuous variables [
62], as evident in this current study. In conducting this test, the null hypothesis (H
0) set was that there is no significant correlation between the two groups, while the alternate hypothesis (H
a) was that there is a significant correlation between the rankings between both groups. The H
0 is rejected when the derived
p-value is less than the 0.05 (5%) threshold.
Table 4 shows a
p-value of 0.002, which is less than the allowable value of 5%. Therefore, H
0 was rejected and concluded that the rated effectiveness of the SWC items was statistically correlated in both groups of respondents. Thus, the derived result is a true reflection of the effectiveness of the SWC in construction projects executed in Hong Kong.
4.3. Benefits of Implementing Safe Working Cycle
Table 5 shows the ranking of the benefits of SWC by the respondents. The result revealed that the top three ranked benefits from the client’s group are the same as those from the contractor’s group. This implies that both groups of respondents believe that these benefits were derived from the use of SWC. Overall, the result revealed that all the 11 assessed benefits were derived from the use of SWC as they all have a
value higher than the average of 3.0. Improve safety awareness among site workers (
= 4.16,
p-value = 0.914) was considered the most important benefit of executing SWC by all the respondents. Next is improved communication between supervisors and site workers on H&S matters (
= 4.15,
p-value = 0.944), which was adjudged as an important benefit derived from SWC implementation. Since frontline workers carry out site works as instructed daily, safety awareness and effective communication of safety matters becomes vital for a construction site with good safety performance. The implementation of SWC also offers early identification of potential hazards (
= 4.01,
p-value = 0.545) as well as establishing safe habits of frontline workers (
= 4.00,
p-value = 0.493).
The statistical differences in the benefits ranking by client and contractor groups were further explored using the
M–W test. The result in
Table 5 shows no statistically significant difference exists in the rating of ten of these benefits as they all had a
p-value of above 0.05. However, there is a difference in the rating of ‘improved safety commitment’ as a
p-value of 0.000 was attained. A look at the ranking shows that while the client group ranked this variable as seventh with a
of 3.96, the contractor’s group ranked it as eleventh with a
of 3.62. This disparity can be ascribed to the role and responsibilities of the client and contractor. In general, senior management of the contractor assumes the role of allocating the manpower and cost spent on construction project safety, including SWC, while the client usually instructs guideline and requirements, provide supervision and advice and give incentives in terms of cost-related reward system. The
χ2 analysis revealed that the calculated
χ2 value for all respondents (127.44) and the different groups (48.47 and 69.20) is greater than the critical
χ2 value (18.31) derived from a statistical table. This implies that the respondents ranking is related to each other within the groups on a general view, and no disparity exists.
Spearman’s rank-order correlation test was conducted to further affirm the relationship in the view of both groups of respondents (client and contractor). The H
0 set was that there is no significant correlation between the two groups, while the H
a was that there is a significant correlation between the two groups. The H
0 is rejected when the derived
p-value is less than the 0.05 (5%) threshold.
Table 6 shows a
p-value of 0.000, which is less than the allowable value of 5%. Therefore, H
0 was rejected and concluded that the rated perceived benefits were statistically correlated in both groups of respondents. Thus, the identified benefits are a true reflection of the inherent benefits derived from the use of SWC in construction projects executed in Hong Kong.
The eleven assessed benefits were further analysed using EFA to regroup them into a more manageable subscale. EFA has been described as an analytical tool used in reducing data into smaller clusters by exploring the fundamental theoretical structure of the variables [
62]. To conduct EFA, the factorability of the data was first tested using the KMO test along with Bartlett’s test.
Table 7 shows that the data gathered were adequate for EFA as a KMO value of 0.890 was derived, which is higher than the acceptable threshold of 0.6 [
62]. More so, Bartlett’s test gave a significant
p-value of 0.000, which follows past submission that Bartlett’s test must be significant at a
p-value less than 0.05 for EFA to be conducted [
64]. Since the KMO test and Bartlett’s test gave acceptable outputs, EFA was conducted using principal factor analysis with Promax rotation. The result revealed two principal factors with an eigenvalue above 1.0. This implies that the eleven benefits can be reclassified into two principal factors.
Further assessment of the scree plot in
Figure 5 shows a clear change in the shape of the plot from the second component. This affirms the two factors extracted as suggested in past studies [
62,
63].
Table 7 also shows that the two extracted factors account for a cumulative percentage variance of 65.6%, which is above the threshold of 50% [
67].
The first principal factor has an eigenvalue of 4.5 and accounts for about 41.1% of the total variance extracted. This principal factor has eight variables loading on it, and they are: improve safety awareness among site workers, establish a safe habit of frontline workers, identify potential hazards, prevent construction accidents, improve housekeeping on-site, create a better understanding of site conditions and daily operations, minimise accidents/injuries means making more profits, and improve communications between supervisors and site workers on H&S matters. Following the latent similarity of these variables, this factor was named ‘safety of frontline workers’. The second principal factor has an eigenvalue of 1.2 and accounts for about 24.5% of the total variance extracted. This principal factor has three variables: improve safety commitment, promote the company’s safety reputation and image, and increase safety training. This component was named ‘increased organisation’s safety commitment and reputation’ based on the similarity in the variables.