Page 44 - IJSA, Vol. 7, No 1, 2024
P. 44

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

                     SOCIAL AND BEHAVIORAL SCIENCES. Health Care Sciences

            ORIGINAL RESEARCH
                                    Digitalisation Factors Influencing the

                               Dynamic Capabilities of Small and Medium
                                    Enterprises in the Healthcare Sector

                 Authors’ Contribution:                       1 ABCDEF                    2 ABCDEF
             A – Study design;                    Makelana P.           , Kekwaletswe R.            ,
             B – Data collection;                              Segooa M. A.  1 ABCDEF
             C – Statistical analysis;     1 Tshwane University of Technology, South Africa
             D – Data interpretation;      2 University of Johannesburg, South Africa
             E – Manuscript preparation;
             F – Literature search;        Received: 28.04.2024; Accepted: 20.05.2024; Published: 30.06.2024
             G – Funds collection
                                           Abstract
                          Background and  Digitalization is problematized as one of the ways to improve dynamic capabilities
                            Aim of Study:  of healthcare sector small and medium enterprises (SMEs) in their strive to stay
                                           competitive in today’s digital society. Digitalisation and dynamic capability are
                                           current key issues in both academia and practice due to the recent advances in
                                           information and communication technologies. Nonetheless, there is inadequate
                                           research informing what and why digitalisation can be leveraged to enhance the
                                           dynamic capabilities (DC), in the context of SMEs in healthcare sector.
                                           The aim of the study: to explore and explain factors influencing DC of healthcare
                                           SMEs in South Africa.
                     Material and Methods:  The study employed task-technology fit theory as a lens to explain digitalisation
                                           factors influencing the DC of SMEs. To achieve the aim of the study, a deductive
                                           approach was followed. The study population was healthcare sector SMEs, in
                                           South Africa. The sampling frame was 384 randomly selected SMEs, in a self-
                                           administered survey.
                                 Results:  The  empirical  results  show  that  SME  performance  (β=0.132,  p<0.05),  task-
                                           technology fit (β=0.052, p<0.05), internet access (β=0.235, p<0.05), customer
                                           service (β=0.057, p<0.05), information sharing (β=0.022, p<0.05), innovation
                                           (β=0.125, p<0.05), and data security (β=0.427, p<0.05) are highly significant in
                                           the digitalisation of DC of SMEs. While cost saving (β=0.178, p>0.05) was found
                                           to be less significant.
                             Conclusions:  The study has explained and shown that appropriating technology to task during
                                           digitalisation is key to enhancing dynamic capabilities, in the context of South
                                           African healthcare sector SMEs. The cost of digital technology is a none factor.
                                           Subsequently, digitalization is a people-driven transformation journey.
                               Keywords:   digitalisation,  dynamic  capabilities,  task-technology  fit,  small  and  medium
                                           enterprises, healthcare sector, South Africa.
                               Copyright:  © 2024 Makelana P., Kekwaletswe R., Segooa M. A. Published by Archives of
                                           International Journal of Science Annals
                                    DOI:   https://doi.org/10.26697/ijsa.2024.1.4
                       Conflict of interests:  The authors declare that there is no conflict of interests
                              Peer review:   Double-blind review
                        Source of support:   This research did not receive any outside funding or support
                         Information about  Makelana Penuel (Corresponding Author) – https://orcid.org/0000-0003-0986-
                              the authors:  1117; [email protected]; Doctor of Computing, Lecturer, Department of
                                           Informatics, Tshwane University of Technology, Pretoria, South Africa.
                                           Kekwaletswe Ray – https://orcid.org/0000-0002-3455-3127; Professor, School of
                                           Management, University of Johannesburg, Johannesburg, South Africa.
                                           Segooa Mmmatshuene Anna – https://orcid.org/0000-0002-4190-8256; Doctor
                                           of  Computing,  Lecturer,  Department  of  Informatics,  Tshwane  University  of
                                           Technology, Pretoria, South Africa.


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