CLOUD ADOPTION STRATEGIC PLANNING: LINEAR REGRESSION COEFFICIENT ANALYSIS

Abstract

The implementation of eLearning in cloud environments significantly gives the benefit to Institutions of Higher Learning (IHLs). However, operating in a cloud environment presents a challenge for the IHLs. By adopting a cloud environment, the cloud adoption process relies on IHL decisions. Therefore, the cloud strategy must be coordinated with the strategic planning of IHL initially from the employees' response to using the eLearning cloud environment. Thus, this study is conducted to identify the factor adoption in using eLearning in a cloud environment. The document analysis from a literature review is conducted to find out the factors influencing adoption in using cloud environments. Moreover, the appropriate model as a basic model needed in the adoption of the cloud environment is defining. Thus, as a result of document analysis, a few factors adopted were classified, and the TOE model is selected, consisting of technology, organization, and environment context in document analysis. Furthermore, a preliminary study was conducted using interviews with employees who have experience with cloud environments at IHLs. The purpose is to integrate conceptual defining factors between the literature review and preliminary study to formulate the significant factor adoption for cloud environments. The factor adoption is classified as an independent factor in adopting a cloud network environment. The primary analysis showed that employee factors are needed and interact with motivation, benefits, and user awareness. Furthermore, the validation study was conducted, and the interaction between the defined factors was analyzed to demonstrate their impact using linear regression coefficient analysis. Thus, the outcome of the study shows a factor adoption contributed to the adoption of the eLearning cloud environment at IHL and gave the guidelines to IHL in implementing an eLearning in the cloud environment.