Title: Still technology acceptance model? Reborn with exostructure as a service model

Authors: P.S. JosephNg; H.C. Eaw

Addresses: Institute of Computer Science and Digital Innovation, UCSI University, Kuala Lumpur, Malaysia ' Faculty of Business and Management, UCSI University, Kuala Lumpur, Malaysia

Abstract: Uncertainty and optimisation are challenges that IT infrastructure medium-sized enterprises have to balance due to their limited resources but are forced to digitalise in order to sustain competitiveness. This blended technique using a survey, interview, and focus group with a dual-data test-retest sequential design approach limits grey views and inferences. The study discovered that while many idled infrastructures were invested without much commercial justification and a negative return on investment, IT infrastructure implementation is resilient to market conditions. With the EaaS model, it questions the dated usefulness of technology acceptance model by proposing a new adaptable internal IT infrastructure model that will scale accordingly with business performance. EaaS utilised BOINC freeware grid computing centralised processing and storage features, contributed to improved enterprise's efficiency by enhancing positive financials in the enterprises via enabling better inter-department work coordination hence improving user satisfaction and stronger brand recognition. Practical and theoretical implications are subsequently discussed.

Keywords: BOINC; cloud computing; economic uncertainty; framework; grid computing; optimisation; resource pooling; small and medium sized enterprise; technology acceptance model; virtualisation.

DOI: 10.1504/IJBIS.2023.134949

International Journal of Business Information Systems, 2023 Vol.44 No.3, pp.404 - 421

Received: 23 Sep 2020
Accepted: 20 Nov 2020
Published online: 22 Nov 2023 *

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