Open AccessApplication of a Multilevel Technology Acceptance Management Model for Effective Technology Deployment
Author(s) -
Gilbert Busolo,
Lawrence Nderu,
Kennedy Ogada
Publication year - 2021
Publication title -
international journal of computer science and information technology/international journal of computer science and information technology (chennai. print)
Language(s) - English
Resource type - Journals
eISSN - 0975-4660
pISSN - 0975-3826
DOI - 10.5121/ijcsit.2021.13105
Subject(s) - software deployment , knowledge management , computer science , leverage (statistics) , process management , technology management , promotion (chess) , business , machine learning , politics , political science , law , operating system
Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.