Abstract
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.
Highlights
The realization that knowledge is a strategic resource for success of any organization’s objectives and its subsequent adoption though a knowledge management system (KMS) is key
This paper proposes application of a multilevel technology acceptance model for effective deployment of a technological intervention
The objective of this research was to propose the application of a multilevel technology acceptance management model that takes into account human, technological and organizational variables
Summary
The realization that knowledge is a strategic resource for success of any organization’s objectives and its subsequent adoption though a knowledge management system (KMS) is key. New products whose aim is to enrich our living experience through automation, knowledge sharing, simplified and quality decision-making with feedback systems are continually developed. They have a rich digital repository for reference of the vast amount of historical, current and predictive information through machine leaning in the broader artificial intelligence concept. Uriarte (2008) defines knowledge management (KM) as the process through which individuals, organizations and even Governments generate value from their intellectual and knowledge-based assets. This process of knowledge creation is defined by stepwise and continuous evolution, not one that can be compactly planned and controlled. It has been widely accepted among scholars that social processes heavily influence organizational knowledge creation
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