Ensuring the Productivity of Higher Learning Institutions Through Electronic Records Management System (ERMS)

TLDR

ERMS can boost organizational productivity, yet many institutions either reject it or implement it without guidance, leading to failure. This study proposes an ERMS adoption model to enhance productivity and performance of higher professional education institutions in Yemen. The model was developed using the UTAUT framework and a mixed explanatory design, with quantitative data analyzed via SPSS 21, SEM, and Smart PLS V3, and qualitative validation from five expert interviews. Fit indices confirmed the model’s acceptability and stability, and both quantitative and qualitative results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, policy, and training positively influence ERMS adoption, which in turn significantly improves HPE productivity.

Abstract

Although electronic records management system (ERMS) is important in bringing about the productivity of organizations, majority of them refuse to implement it, while a few embark on implementing it blindly, without guidance, which often results in failure. This paper, therefore, proposed a model for the ERMS adoption to support the productivity and performance of higher professional education (HPE) institutions in the Yemeni context. This paper used the unified theory of acceptance and use of technology (UTAUT) and a mixed explanatory approach to gather quantitative and qualitative data. Data were then analyzed through the use of SPSS 21, with SEM and Smart PLS V3 software used to test the proposed model. The model was also confirmed by five experts who were interviewed to obtain qualitative data. Based on the analysis results, all the fit indices met the recommended values range that assumed the acceptability of the developed model. The model was found to be of a good fit, and the theory upon which the model was developed was stable. The quantitative findings showed that performance expectancy, effort expectancy, social influence, facilitating conditions, policy, and training have a significant relationship with the ERMS adoption, which in return has a significant relationship with HPE organizations' productivity. This was supported by the qualitative results, confirming the theoretical study and contributing to the understanding of the ERMS adoption among HPEs. Such adoption ensures educational institutions' productivity.