Abstract—This research is a research and development. It
aims to develop Green University Resource Planning on cloud
computing. The research is divided into two phases which are 1)
document analysis related to Green University indicators, and 2)
survey assessment to input data into the Green University
Resource Planning System. The research samples are nine
experts who are executives and have experience at green
universities selected by purposive sampling. The research tool is
the survey assessment to input data into the Green University
Resource Planning System, which analyses data by considering
the mean and standard deviation. According to the document
analysis related to Green University Indicators, the research
results showed that the categories based on the criteria of UI
GreenMetric World University Ranking 2016 suggested that
each university has different indicators in relevance to the
context, geography, budget, location, internationality, and the
survey assessment to input data into the Green University
Resource Planning System. The experts found that the overall
appropriateness of the survey was rated at the highest level
(X = 4.55, S.D. = 0.69).
Index Terms—University resource planning, enterprise
resource planning, green university, cloud computing.
The authors are with Faculty of Humanities and Social Sciences, Suan
Sunandha Rajabhat University, Bangkok (SSRU), Thailand (e-mail:
jarumon.no@ssru.ac.th, prachyanunn@kmutnb.ac.th).
Cite: Jarumon Nookhong and Prachyanun Nilsook, "Green University Resource Planning on Cloud Computing," International Journal of Information and Education Technology vol. 7, no. 10, pp. 722-727, 2017.