Predictive Factors of IT Systems Adoption by SME Employees in Developing Countries: Evidence from SME Employees in North Kivu, DRC

Abstract

This research aimed to identify the determinants of technology usage among SME employees in the North Kivu Province of the Democratic Republic of Congo. We based our model on the Technology Acceptance Model. In addition to perceived usefulness and ease of use, the proposed model includes relative advantage as a predictor of technology usage. This study used the PLS-SEM method to test the proposed hypotheses from 247 responses. The results confirmed the hypotheses. The research findings demonstrate a positive relationship between perceived usefulness and use, perceived ease of use and use, and relative advantages and use of new technologies. Congolese SME managers can rely on these findings to highlight these key determinants in promoting technology usage among SMEs in a country where technology usage by businesses remains low. Keywords: Perceived ease of use, Perceived usefulness, Relative advantages, SI adoption, Technology.

Factors Influencing the Continuous Usage of Mobile Banking Services in Butembo, Democratic Republic of Congo

“…Information technology adoption has been one of the most hotly debated topics in management in recent years [18]. Following this, we surveyed mobile banking users about the drivers behind their continuous usage of mobile services.…”

“…Several studies identify perceived usefulness as a key determinant of computer system use [33]. The more useful the user considers the system to be, the more they use it [18]. A study of user satisfaction with mobile applications [34].…”

“…Technology adoption is one of the most widely discussed topics in information systems literature [18]. Several models have been proposed to predict the use/adoption of new technologies.…”

“…In its initial form, the model argued that technology usage is predicted by perceived usefulness and perceived ease of use. Over the years, the model has been revised and extended to include new parameters such as relative benefits, performance, and system costs [18]. The TAM model in its many forms has been used in several studies to predict the use of m-Banking worldwide.…”

“…One of the most identified factors is perceived usefulness [22]. Perceived usefulness has been identified as the factor most frequently cited in the literature in terms of the adoption of new technologies [18]. The more useful a computer system is perceived to be, the more users will want to use it [21].…”