Page 58 - IJSA, Vol. 7, No 1, 2024

International Journal of Science Annals, Vol. 7, No. 1, 2024
рrint ISSN: 2617-2682; online ISSN: 2707-3637; DOI:10.26697/ijsa

Therefore, H1 is supported. This outcome is in line with Task-Technology Fit
Raimo et al. (2023) who found that web and Cloud- The positive effect of TTF (p=0.000<0.05) on the use of
services helped healthcare organisations in Italy to SaaS is also confirmed. Therefore, H10 is supported.
improve customer service. In addition, the present study This outcome in line with Wang et al. (2019) who found
proved that SHI (p=0.000<0.05) has positive effect on the that TTF play a substantial role in the use of Big Data
use of SaaS. Therefore, H2 is supported. In support of Analytics (BDA) mobile cloud healthcare system.
this outcome, a plethora of research (Mokwena &
Hlebela, 2018; Moyo & Loock, 2021; Raimo et al., 2023) Conclusions
point out that SaaS can help healthcare sector SMEs to In this paper, the conceptual model is proposed to
share information with their patients. identify and explain the factors influencing the use of
Technology Characteristics Software as a Service (SaaS) to improve the dynamic
As displayed in Table 4, IEA (p=0.014<0.05) has a capabilities (DCs) of healthcare SMEs. This model is
positive effect on the use of SaaS. Therefore, H3 is based on Task-Technology Fit (TTF) and Fit Viability
supported. Recent scholarly works (Johnston et al., 2023; Model (FVM) and some external constructs
Khaki & Khan, 2023; Raimo et al., 2023) have shown (organisational characteristics and environment
that having access to the internet can help organisations, characteristics). The study results show that customer
particularly healthcare sector SMEs to improve the DCs service (CSE), sharing information (SHI), internet access
(Hercheui & Ranjith, 2020; Pietronudo et al., 2022; (IEA), data security (DAS), top management support
Suhendi et al., 2020; Weaven et al., 2021). Similarly, the (TMS), competitive pressure (CMP), viability (VAB)
positive effect of DAS (p=0.003<0.05) on the use of SaaS and task-technology fit (TTF) play a positive role on the
is confirmed. Therefore, H4 is supported. This outcome use of SaaS to improve the DCs of healthcare SMEs.
is supported by Ganiga et al. (2018) and Mubarakali et al. However, the present study also found that finance (FIC)
(2020) who pointed out that Cloud services can help and infrastructure (IFT) play a negative role on the use of
healthcare organisations to manage and protect the data SaaS to improve the DCs of healthcare SMEs. This paper
of patients. concludes that SaaS is key to improving DCs of
Organisational Characteristics healthcare sector SMEs.
As displayed in Table 4, TMS (p=0.000<0.05) has a
positive effect on the use of SaaS. Therefore, H5 is Acknowledgments
supported. This outcome is consistent with Nassoura The authors would like to express their gratitude to all
(2020) who found that top management support (TMS) participating healthcare SMEs. Their participation helped
play a substantial role on the adoption of Cloud provide further insights to Software as a Service and
Computing in Jordanian healthcare organisations. dynamic capabilities, notably in the context of South
However, the present study found that FIC African SMEs.
(p=0.732>0.05) has a negative influence on the use of
SaaS. Therefore, H6 is not supported. This outcome is Ethical Approval
consistent with Khurana et al. (2022) who argued that The study obtained ethical clearance from the
digital technologies (DTs) are not easy to adopt, because institution’s Ethics Committee (Ref NO.
the majority of SMEs lack funding. FCRE/ICT/2022/03/001 (1).
Environmental Characteristics
On the other hand, the present study found that CMP Funding Source
(p=0.000<0.05) has a positive effect on the use of SaaS. The present study received no specific funding from any
Therefore, H7 is supported. This outcome is in line with public, private, or non-profit organisation.
Raimo et al. (2023) who found that healthcare
organisations use Cloud-services in reaction to the References
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inadequate infrastructure. university students using the UTAUT model:
Viability Credible evidence from Saudi Arabia.
As displayed in Table 4, VAB (p=0.012<0.05) has a International Journal of Information
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SMEs. Therefore, H9 is supported. https://doi.org/10.1016/j.jjimei.2022.100092
This outcome is consistent with Liang et al. (2021) who Alassafi, M. O. (2021). Success indicators for an efficient
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