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IJIET 2017 Vol.7(10): 722-727 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.10.961

Green University Resource Planning on Cloud Computing

Jarumon Nookhong and Prachyanun Nilsook

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).

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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.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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