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

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  • JosephNg, P.S.

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.

Suggested Citation

  • JosephNg, P.S., 2018. "EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 165-173.
  • Handle: RePEc:eee:tefoso:v:132:y:2018:i:c:p:165-173
    DOI: 10.1016/j.techfore.2018.01.030
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    References listed on IDEAS

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    1. Fida Hussain Chandio & Muhammad Sharif Abbasi & Hyder Ali Nizamani & Qurat Ul Ain Nizamani, 2013. "Online banking information systems acceptance: a structural equation modelling analysis," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 12(2), pages 177-193.
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    1. Klaudia Bracio & Marek Szarucki, 2020. "Mixed Methods Utilisation in Innovation Management Research: A Systematic Literature Review and Meta-Summary," JRFM, MDPI, vol. 13(11), pages 1-27, October.

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