Web 2 adoption and performance of telecommunication firms in Ghana: a study of MTN Ghana

Figures & data

Figure 1. Conceptual framework of the study. Source: Author’s Own Construct (2022).

Table 1. Measurement of variables.

Variable	Measurement indicators	Source
Social networking site	Information sharing, access to information, content, site usage, mode of interaction	Tajvidi and Karami (2017)
File sharing	File size, content creation, nature of information sharing, frequency of posts	Tafesse (2020)
Blogs	Period of information accessibility, purpose of blog, subscription, nature of blog, level of interaction	Singh et al. (2018)
Wiki	Purpose of wiki, level of interaction, nature of wiki, level of wiki	Singh et al. (2018)
Organisational performance	Number of subscribers, profit levels, network connectivity accessibility, customer base	Djakasaputra et al. (2021)
Perceived ease of use	Clarity and understandability, ease of use of web 2, information usefulness, flexibility of web 2	Shahreki et al. (2020)

Table 2. Reliability test.

Construct	No. of Items	α Value
Social networking site	5	0.870
File sharing	5	0.869
Blogs	5	0.845
Wiki	5	0.868
Organisational performance	5	0.911
Perceived ease of use	5	0.907

Source: Field Data (2021).

Figure 2. Customers’ preference for web 2 tools. Source: Field survey (2022).

Figure 3. Initial model specification. Source: Field Survey (2022).

Figure 4. Final model structure. Source: Field survey (2022).

Table 3. Internal consistency reliability and validity.

Items	C.A	rho_A	CR	CV
BL	0.834	0.930	0.886	0.723
FS	0.823	0.895	0.892	0.735
OP	0.750	0.816	0.856	0.668
PEOU	0.860	0.865	0.934	0.877
SNS	0.814	0.838	0.888	0.726
WI	0.825	0.842	0.895	0.740

Note: ‘Internal consistency reliability (C.A., rho_A; Construct reliability [CR]); Convergent validity (CV) (using AVEs)’.

Source: Field Survey (2022).

Table 4. Heterotrait-monotrait (HTMT) ratio.

	BL	FS	OP	PEOU	SNS	WI
BL
FS	0.169
OP	0.244	0.514
PEOU	0.181	0.143	0.118
SNS	0.178	0.458	0.806	0.116
WI	0.079	0.668	0.683	0.104	0.688

Source: Field Survey (2022).

Table 5. Explanation of target endogenous variable variance.

L.V	VIFs	R^2	Adjusted R^2	f^2	Q2
BL	1.033			0.060	0.315
FS	1.465			0.020	0.366
OP		0.527	0.518
PEOU	1.041			0.002	0.332
SNS	1.520			0.310	0.238
WI	1.838			0.059	0.329

‘Note: Latent variable (L.V.), coefficient of determination (R²), effect size (f²), predictive relevance (Q²)’.

Source: Field survey (2022).

Table 6. Significance and relevance of path coefficients.

Structural Path	(β)	t-stats	p-values	Decision Rule
Direct effect
SNS -> OP	0.495	5.835	0.000	H1 (supported)
FS -> OP	0.118	1.988	0.047	H2 (supported)
WI -> OP	0.212	2.526	0.012	H3 (supported)
BL -> OP	0.110	2.190	0.029	H4 (supported)
Indirect / Moderating effect
PEOU -> OP	0.141	2.196	0.028	H5 (supported)

Note. * = t > 1.96; p < 0.05.

Source: Field data (2022).

Tajvidi, R., & Karami, A. (2017). The effect of social media on firm performance (in press, corrected proof). Computers in Human Behavior, 3(6), 1–18. https://doi.org/10.1016/j.chb.2017.09.026

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Data availability statement

The dataset used in the study may be available on request.