The Character of Top Leader on Adoption of Cloud Predictive Analysis for Urban Planning of Small and Medium Enterprises
Autour(s)
- Keypi Jackson, Atora Opuiyo, Ibrina Browndi, Chidi Yun
Abstract
In recent years, one of the most important technology in Information Technology (IT) world is cloud computing. Small and medium enterprises (SMEs) with low budget and human resources are one of the major groups that tend to use Cloud Predictive Analysis for Urban Planning for achieving the benefit of this technology. In this case, the most fundamental factors that play important role for adoption new information technology such as Cloud Predictive Analysis for Urban Planning is top manager. Top manager behaviours are critical for creating a supportive climate and for providing adequate resources for the adoption of cloud computing. The aim of this research is to investigate four factors namely: vision setter, motivator, analyzer and task master that affect on top manager behavior, and affect of top manager behaviors on adoption of cloud computing for small and medium enterprises. In this research, we used questionnaire to evaluate the top manager behaviors and a questionnaire was given to a number of employees those worked in IT department of their SMEs in Asia that use cloud computing technology. The data were analyzed through Partial Least Square (PLS). In this study, all measurements have an acceptable value. Based on the result obtained in the study, the overall results strongly confirm the reliability and validity of the questionnaire. Finally the hypotheses support by the results.