Page 57 - IJSA, Vol. 7, No 1, 2024
P. 57
International Journal of Science Annals, Vol. 7, No. 1, 2024
рrint ISSN: 2617-2682; online ISSN: 2707-3637; DOI:10.26697/ijsa
Table 4
Hypotheses Testing
Note. *p<0.05; **p<0.01; CUS – customer service; SHI – sharing information; IEA – internet access; DAS – data security;
TMS – top management support; FIC – finance; CMP – competitive pressure; IFT – infrastructure; VAB – viability; TTF
– task-technology fit.
As displayed in Table 4 and Figure 2, eight hypotheses two hypotheses (H6 and H8) were not supported
(H1, H2, H3, H4, H5, H7, H9, and H10) were supported because they have a p-value of greater than >0.05.
because they have a p-value of less than <0.05, while
Figure 2
A Model for the Use of SaaS to Improve the Dynamic Capabilities of South African Healthcare sector SMEs
Results and Discussion Task Characteristics
The model (Figure 2) shows the factors that are The study results in Table 4 show that CUS
significant to the use of SaaS to improve the dynamic (p=0.022<0.05) has a positive effect on the use of SaaS
capabilities (DCs) of South African healthcare SMEs. to improve the DCs of healthcare sector SMEs.
55

