Evaluation of Green IT services with Fuzzy Screening approach

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 criteriarecycling and reusing -in KAYSON Inc. organization. Finally, the organization greenness level was determined moderate in terms of IT services.

Supply chain efficiency framework to improve business performance in a competitive era

“…The finding shows that the prospective causes, involving successful operational performance, varied fully in terms of IT implementation, responsiveness and flexible supply chain. Several previous studies have emphasized the use of Internet of Things (IoT) tools such as RFID and how they influence the efficiency of supply chains to be smart (Atzori et al , 2017; Shokouhyar et al , 2017; Atzori et al , 2014). It was found that IoT can improve efficiency and innovation and create insights that transform the business to reduce expenses and improve business procedures (Shokouhyar et al , 2019).…”

Impact of big data analytics capabilities on supply chain sustainability

“…Owing to sustainable development is a critical issue and analyzing BD was considerably helpful in different studies, researchers tried to measure the extent to which BDA could increase sustainability. In addition, green Information Technology (IT) services has been discussed (Shokouhyar et al , 2017). According to the work of Cuquet and Fensel (2018), using BD enormously helped the economic, social and ethical, legal and political benefits in Europe which can be applicable to other places as well.…”

“…Some researchers have emphasized that analyzing BD is a powerful approach to create competitive advantages for organization and is the key point of decision-making and the primary source for responsibility. This framework is called “Big data analytics” (BDA) (Wamba and Gunasekaran, 2017; Shokouhyar et al , 2017). BDA is founded on the earlier data analysis methods using statistical techniques such as factor analysis, regression, correlations and many different statistical tests and machine learning (Iniesta et al , 2016; Rezaei et al , 2017).…”

A six-dimensional model for supply chain sustainability risk analysis in telecommunication networks: a case study

“…Iranian customers' dissatisfaction with low quality and low speed of the Internet and telecommunication services is mainly due to low capacity and quality of telecommunication technology infrastructure (Shokouhyar et al , 2017). Moreover, this industry is always having problems supplying modern technology and equipment for equipment and technology upgrades because of sanctions, as well as political and economic reasons as the main causes (Zand Hesami and Savoji, 2011).…”

“…Also, Shokouhyar et al , (2017) employed an integrated model based on project management body of knowledge (PMBOK) standard risk management process and risk FMEA (RFMEA) technique to assess risks and claimed this method was useful for quick and accurate prioritization of risks as well as analysis of situations and failure methods.…”