Role ambiguity and role conflict effects on employees’ emotional exhaustion in healthcare services in Tanzania

Figures & data

Figure 1. Conceptual framework.

Source: Authors’ construction based on literature review (2023).

Table 1. Heterotrait-Monotrait ratio (HTMT).

	Emotional exhaustion	Role ambiguity	Role conflict
Emotional exhaustion
Role ambiguity	0.61
Role conflict	0.43	0.64

Table 2. Construct reliability and validity.

Variables	Cronbach’s Alpha	CR	AVE
Emotional exhaustion	0.85	0.93	0.87
Role Ambiguity	0.95	0.96	0.87
Role Conflict	0.84	0.88	0.60

Table 3. Demographic characteristics of the respondents.

Characteristics	Category	Frequency(n = 131)	Percent (%)
Gender	Male	55	42.3
	Female	75	57.7
Age	18-25	30	23.1
	26-35	46	35.4
	36-45	25	19.2
	46-55	21	16.2
	Above 55	8	6.2
Education Level	College certificate	17	13.1
	College diploma	44	33.8
	Bachelor degree	49	37.7
	Master degree	16	12.3
	Doctorate	4	3.1
Years of Experience	Less Than 1	25	19.2
	1-2	30	23.1
	3-5	31	23.8
	Above 5	44	33.8
Profession	Receptionist	13	10.0
	Medical doctor	23	17.7
	Nurse	57	43.8
	Accountant	8	6.2
	Human resource	11	8.5
	Laboratory technician	12	9.2
	Others	6	4.6

Source: SPSS Output based on Field Data (2023).

Table 4. ANOVA.^a

Model		Sum of Squares	Df	Mean Square	F	Sig
1	Regression	27.470	2	13.735	16.977	.000^b
	Residual	102.749	127	.809
	Total	130.219	129

^a Dependent variable: emotional exhaustion.

^b Predictors: (constant), role conflict, role ambiguity.

Table 5. Model summary.

Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.459^a	.211	.199	.89947

^a Predictors: (constant), conflict average, role ambiguity average.

Table 6. Coefficients.^a

Model		Unstandardized Coefficients		Standardized Coefficients	T	Sig	95.0% Confidence Interval for B
		B	Std. Error	Beta			Lower Bound	Upper Bound
1	(Constant)	1.919	.246		7.806	.000	1.432	2.405
	Role ambiguity	.398	.103	.372	3.863	.000	.194	.601
	Role conflict	.149	.110	.130	1.355	.178	−.069	.366

^a Dependent variable: emotional exhaustion.