Evaluation of Green IT services with Fuzzy Screening approach

Authors

  • Sajjad Shokouhyar? Shahid Beheshti University
  • Alireza Noorbakhsh Politecnico di Milano
  • Armin Aalirezaei Semnan University

DOI:

https://doi.org/10.3127/ajis.v21i0.1548

Keywords:

Green information technology, Fuzzy Screening, Fuzzy Analytic Hierarchy Process

Abstract

Regarding development of Information Technology, the world of industry has inordinately benefited, albeit that has some losses. Unless the losses are considered, advanced losses will be seen after progress with which is more difficult to cope. Neglecting the future and the risk involved in the industry, not to mention the lack of knowledge in dealing with sudden alterations, compel irrecoverable loss. In this context, information technology services in organizations are aimed to be cost-effective and have minimum environmental impact, according to green information technology strategies. Concerning significance of the issue, purpose of this research is assessment of information technology services with respect to greenness level in a general contractor organization by combination of Fuzzy Analytic Hierarchy Process and Fuzzy Screening Procedure to enhance the greenness level of IT services. The effectiveness of using this approach is including qualitative, quantitative, and uncertainty nature of the problem. In this paper, to consider the Green IT services criteria, literatures have been studied by meta-synthesis method, then the importance of the criteria has been determined by questionnaires so as to rank Green IT criteria. Eventually, the organization level has been concluded in terms of the greenness level of IT services. As a case study, IT experts and managers of KAYSON Inc. organization are considered as statistical population of this research. The reduction had the highest weight among other criteria- recycling and reusing - in KAYSON Inc. organization. Finally, the organization greenness level was determined moderate in terms of IT services.

Author Biographies

Sajjad Shokouhyar?, Shahid Beheshti University

Department of Information Management, Shahid Beheshti University, G.C., Tehran, Iran

Alireza Noorbakhsh, Politecnico di Milano

Department of Industrial and Information Engineering, Politecnico di Milano, Milan, Italy

Armin Aalirezaei, Semnan University

Department of Industrial Engineering, Semnan University, Semnan, Iran

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Published

2017-11-08

How to Cite

Shokouhyar?, S., Noorbakhsh, A., & Aalirezaei, A. (2017). Evaluation of Green IT services with Fuzzy Screening approach. Australasian Journal of Information Systems, 21. https://doi.org/10.3127/ajis.v21i0.1548

Issue

Section

Selected Papers from the Australasian Conference on Data Mining (AusDM)