%T EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise
%A P.S. JosephNg
%I Elsevier Inc.
%V 132
%P 165-173
%K Cloud computing; Digital storage; Economics; Grid computing; Industrial economics; Optimization; Reusability; Surveys; Turbulence; Virtualization, Exostructure; Framework; IaaS; ICT infrastructures; Malaysia; Resource pooling; Small and medium sized enterprise, Investments, industrial investment; information and communication technology; infrastructure; optimization; small and medium-sized enterprise, Malaysia; West Malaysia
%X 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. © 2018 Elsevier Inc.
%D 2018
%R 10.1016/j.techfore.2018.01.030
%O cited By 43
%L scholars10205
%J Technological Forecasting and Social Change