Determinants of emerging technologies adoption in the South African financial sector

PURPOSE : The fourth industrial revolution (4IR) enables firms to leverage various emerging technologies to reduce operating costs, improve business efficiencies and gain competitive advantage. This article uncovers the determinants influencing emerging technology adoption, particularly artificial intelligence (AI), cloud computing and distributed ledger technologies (DLT), in South African (SA) financial services firms. DESIGN/METHODOLOGY/APPROACH : Seventeen technology experts from the SA banking, insurance, financial technology and financial regulation and compliance sectors were interviewed. A semi-structured interview was used to conduct one-on-one interviews, followed by a focus group interview. Qualitative data were analysed using a thematic network analysis. FINDINGS/RESULTS : The results revealed that the determinants – adopter traits, technology usability, industry characteristics, organisational leadership and organisational characteristics – were influential towards technology adoption. It is suggested that the new model could be strengthened further by incorporating a new construct, leadership diversity, which had not been previously proposed in the literature. PRACTICAL IMPLICATIONS : By understanding the influential adoption determinants, leaders can take bold, calculated risks in adopting AI, cloud computing and DLT. However, the importance, prior to adopting these technologies, of clearly understanding the need for them, and their business benefits is also emphasised. ORIGINALITY/VALUE : Research on the adoption of AI, cloud computing and DLT in the SA financial sector is limited. This article leverages the models of the diffusion of innovations (DOI), the technology–organisation–environment (TOE) and the technology readiness index (TRI) to propose a new model that illustrates technology adoption in the SA financial sector at individual and firm levels.http://www.sajbm.orgam2023Graduate School of Technology Management (GSTM

The Determinants of Cloud Computing Adoption in Saudi Arabia

There is a large volume of published studies investigating the factors that affect cloud adoption. However, there are very few studies which investigate cloud computing adoption in technologically developing countries and one focus of the research was to examine whether the factors which influence cloud computing adoption in technologically developed countries also apply in technologically developing countries. The research presented in this paper in this paper builds on the diffusion of innovation theory (DOI) and the Technology-organisation-environment (TOE) framework in order to investigate the factors which influence cloud computing adoption. Fourteen hypothesis were developed from the literature based on cloud adoption and were examined in the research. DOI and TOE. Data was collected by using a web-based questionnaire and was analysed using a range of statistical measures. This paper discusses the design and implementation of the study, the data analysis and conclusions from the analysis and compares the findings of this study with the findings of similar studies in technologically developed countries. The study show that there are some similarities as well as some differences in the factors that affect cloud computing adoption between technologically developed countries and technologically developing countrie

Factors Influence Cloud Computing Assimilation and the Effect to IT Operational Effectiveness in Public Sector

The role of IT innovation has changed from conventional cost reduction and efficiency improvement to enhancement of public sector agency’s flexibility and adaptation to changing environment. However, a comprehensive literature review reveals that there is a lack of study of which reasons persuade the public sector to implement information technology (IT) innovation, as well as which factor and how affect the level of IT sophistication in this assimilation process and the effect to the operational effectiveness. Based on Diffusion Innovation Theory (DOI), and Technology-Organizational-Environmental framework (TOE), nine determinant are proposed to influence cloud computing assimilation. A measurement scale is developed by adopting from prior empirical studies and the context of cloud-based resources and services implementation in the Malaysian public sector were tested and evaluated using survey data from a sample of 169 agencies. Our empirical analyses lead to several key findings; Technological factor is significantly affects the relationship to cloud-based services and resources Initiation and Implementation by the agencies in the Malaysian public sector. Organizational factors significantly affects cloud-based services and resources initiation, but not significantly support the relationship to its implementation. However, Environmental factors significantly affects cloud-based services and resources implementation, but not significantly support the relationship to its initiation. Initiation to cloud-based services and resources by the agencies in the Malaysian public sector is not significantly support its implementation. The Implementation of cloud-based services and resources by the agencies in the Malaysian public sector significantly affect IT operational effectiveness