An investigation of factors influencing selection of construction project managers for sustainable renovation projects

Figures & data

Figure 1. Word cloud of determinants.

Figure 2. Conceptual framework.

Figure 3. Research design flowchart.

Table 1. Internal consistency of Cronbach’s Alpha

Nr	Cronbach’s alpha, α	Internal Consistency
1	Cronbach’s alpha, α ≥0.8	Excellent
2	0.8>α≥0.7	Good
3	0.7>α≥0.5	Satisfactory
4	α<0.5	Poor

Note: Adapted from Gliem and Gliem (2003)

Table 2. Demographic results

Respondents	Response received	%
Project Managers	12	9.6
Civil and structural Engineers	21	16.8
Architects	23	18.4
Quantity Surveyors	16	12.8
Academics	21	16.8
District Assembly Professionals	32	25.6
Working experience	Response received	%
0–5 years	23	18.4
6–10 years	26	20.8
11–15 years	14	11.2
16–20 years	28	22.4
21–25 years	18	14.4
Above 26 years	16	12.8

Table 3. Factors influencing selection of green renovation project managers

S/N	Factors	Mean	SD	variance	Rank
1	Academic qualification	4.88	0.853	0.7276	1st
2	Working experience	4.44	0.769	0.5914	4th
3	Relationship with clients	3.94	0.667	0.4449	13th
4	Human relations	3.52	0.718	0.5155	21st
5	Conflict management skills	3.72	0.832	0.6922	17th
6	Work effectively in a team	4.24	0.891	0.7939	8th
7	Records of project delays	4.18	0.946	0.8949	10th
8	Payment history	3.85	0.862	0.743	14th
9	Records of cost overrun	3.45	0.684	0.4679	22nd
10	Availability of funds	3.36	0.734	0.5388	23rd
11	Safety records	4.01	0.647	0.4186	12th
12	Green renovation projects managed	4.75	0.854	0.7293	2nd
13	Green certified	3.56	0.733	0.5373	20th
14	Interest in continuous green training	3.65	0.688	0.4733	19th
15	Understanding energy and Co2 emission savings	3.70	0.721	0.5198	18th
16	Cleaner construction records	4.23	0.869	0.7552	9th
17	Size of green renovation project	4.56	0.987	0.9742	3rd
18	Understanding of green renovation	4.36	0.88	0.7744	6th
19	Experience of workers	3.02	0.897	0.8046	24th
20	Type of technology for renovation	3.74	0.875	0.7656	16th
21	Quantity of technologies involved	3.81	0.779	0.6068	15th
22	Location of project	4.25	0.722	0.5213	7th
23	Cost of project	4.09	0.86	0.7396	11th
24	Project duration	4.41	0.786	0.6178	5th

Figure 4. Mean distribution of main factors.

Table 4. Chi Square analysis

S/N	Factors	Chi Square (X^2)	df	Df/X^2	p-value
1	Academic Qualification	37.65	4	0.1062	0.0021^a
2	Working experience	54.82	1	0.0182	0.0011^a
3	Relationship with clients	68.23	3	0.0439	0.0002^a
4	Human relations	45.92	2	0.0435	0.0032^a
5	Conflict management skills	61.34	3	0.0489	0.0020^a
6	Work effectively in a team	18.37	2	0.1088	0.0040^a
7	Records of project delays	27.22	3	0.1102	0.0001^a
8	History of payment	63.08	4	0.0634	0.0031^a
9	Records of cost overrun	60.29	3	0.0497	0.0002^a
10	Availability of funds	56.71	2	0.0352	0.0001^a
11	Safety records	66.88	2	0.0299	0.0021^a
12	Green renovation projects managed	19.65	3	0.1526	0.0014^a
13	Green certified	40.36	3	0.0743	0.0031^a
14	Interest in continuous green training	52.15	3	0.0575	0.0008^a
15	Understanding of energy and CO2 savings	69.04	4	0.0579	0.0001^a
16	Cleaner construction records	57.23	3	0.0524	0.0700^a
17	Size of green renovation project	68.62	3	0.0437	0.0003^a
18	Understanding of green renovation	62.06	2	0.0322	0.0004^a
19	Experience of workers	87.66	2	0.0228	0.0003^a
20	Type of technologies involved	56.38	1	0.0177	0.0000^a
21	Quantity of technologies involved	47.15	3	0.0636	0.0003^a
22	Location of project	59.52	4	0.0672	0.0005^a
23	Cost of project	49.55	3	0.0605	0.0009^a
24	Project duration	65.38	2	0.0305	0.0011^a

Note: ^aAt the 95% significance level.

Figure 5. Green renovation PM selection Criteria.

Figure 6. Flowchart of established relationship.

Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education, Columbus, Ohio.

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