Acceptance of an Online Voting System at the Catholic University Institute of Buea

Acceptance of an Online Voting System at the Catholic University Institute of Buea

Damen Nyinkeu Ngatchu, Andrew M. Ngwa, Susannash Limunga Esowe
Copyright: © 2018 |Pages: 12
DOI: 10.4018/IJTD.2018040105
Article PDF Download
Open access articles are freely available for download

Abstract

Increasingly, more software is developed locally, to address the needs of the developer's immediate community and yet little research has been done regarding their acceptance. The technology acceptance model (TAM), which has greatly been used in literature, failed to consider some cultural particularities of such software. Furthermore, most research has focused on the acceptance of foreign technologies in Africa. The primary objective of this article, is to investigate the validity of TAM for locally developed software within a community. The article utilizes quantitative methodology based on data gathered using a modified version of a published survey instrument; as well as Short Message Service for the collection of qualitative data. The findings concur with previous studies on technology acceptance and the raises interests on the use of qualitative data for understanding the context of technology acceptance.
Article Preview
Top

Literature Review

Since its introduction in 1989 by Fred Davis, the Technology Acceptance Model (TAM) has gone through validation, extension and elaboration, benefiting from the works of renown authors and partially defining the academic discipline of information and communication technology. The model proffers that the perceived ease-of-use and the perceived usefulness of a technology are the principal constructs that determine user behavioral intension and actual use towards a particular technology. An earlier systematic review (Lee et al., 2003) of articles relating to TAM highlighted the stages of the model's metamorphosis (Introduction, Validation, Extension and Elaboration) and expressed the need “…to develop the next generation TAM that synthesizes the previous effects and to resolve the limitations raised by previous studies.” (Lee et al., 2003, p. 757).

Complete Article List

Search this Journal:
Reset
Volume 15: 1 Issue (2024): Forthcoming, Available for Pre-Order
Volume 14: 1 Issue (2023)
Volume 13: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 12: 4 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing