Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model

Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<05; LL=0.325; UL=0.416); technological variables (p=.00<05; LL=0.259; UL=0.362) and environmental variables (p=.00<05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.