The Extended Technology Acceptance Model Using Structural Equation Model to Predict E-Procurement Adoption in the Ghanaian Healthcare Sector
►Patrick Boateng Sarpong
psarpong@htu.edu.gh (Corresponding Author)
hhttps://orcid.org/0000-0002-2396-2638
►Prosper Agbanu
pagbanu@htu.edu.gh
https://orcid.org/0009-0008-0085-5152
►Michael Addai
maddai@atu.edu.gh
https://orcid.org/0000-0003-3377-0696
Received: 19 May, 2023
Final Revision: 26 July, 2023
Accepted: 9 August, 2024
Published: 22 August, 2024
doi.org/10.52283/NSWRCA.AJBMR.20240801A05
Abstract
This paper seeks to examine e-procurement adoption technology, particularly in the Ghanaian public health sector. The adoption of e-procurement is crucial for the health sector due to its significance in enhancing internal efficiency and has a substantial influence on sustainability. Earlier studies have concentrated on how senior procurement managers utilize advanced technologies to attain environmental sustainability in healthcare operations. The Technology Acceptance Model (TAM) has been employed to elucidate the factors influencing the adoption decisions. The study utilized a questionnaire survey to assess respondents' understanding of questions posed by the researcher. The data from the questionnaires were investigated using the Statistical Package for Social Science (SPSS) version 21, the Amos 22, and the SmartPLS v3.2 software to determine the relationship between variables. The results of the study did not support the acceptance of two hypotheses, whilst the other hypotheses were found to support e-procurement adoption. From the findings of this study, recommendations from a management perspective are discussed to improve management awareness in adopting electronic procurement.
Keywords: E-procurement, TAM, Adoption decision and Ghanaian Health Sector