EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise

P.S. JosephNg

Technological Forecasting and Social Change, 2018, vol. 132, issue C, 165-173

Abstract: Information technology infrastructure procurement is a focal issue for Malaysia Medium Size Enterprises confronting shortage asset amid economic turbulence. In this paper, we propose a financially savvy asset pooling shared service that improves on-request benefit yet dependable as the enterprise revolves. Further, we look at the appropriateness of legacy hypotheses for the commodity of IT infrastructure and disruptive innovation. Our provocation opens up a key investment association between the proposed integrated IT infrastructure benefits with the key enterprise factors in monetarily feasible. The exploration was completed by means of a survey with data collected from 100 respondents in Peninsular Malaysia and test-retest again the validity of the past 122 respondents for data consistency. The findings posits that despite the fact that innovation highlights have its own points of interest, however, un-optimized and un-reusabilities of existing desktop are two critical determinants of infrastructure investment. It additionally rationalized that wasteful spending is a basic determinant of investment, giving the huge impact to over-speculation and over-spending plan. The findings drive us to propose an organic flexibility infrastructure solution that will expand or recoil with the business execution prompting the discoveries for Exostructure as a Service framework as a Technology Management manual.

Keywords: Cloud computing; Economic turbulence; Exostructure; Framework; Grid computing; IaaS; ICT infrastructure; Malaysia; Optimization; Reusability; Resource pooling; Small and medium sized enterprise; Virtualization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:132:y:2018:i:c:p:165-173

DOI: 10.1016/j.techfore.2018.01.030

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