Moderating effect of organisation size in measuring the technology organisation environment and pressure (TOEP) in enterprise architecture adoption

Nor Azizah Ahmad, Sulfeeza Mohd Drus, Nur Azaliah Abu Bakar

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Abstract

Different names of the model have been proposed from various factors and fragmented perspectives. Besides, overall studies have put much attention on post-adoption process and EA implementation phase. Previous scholars used one or combination of different theories to identify the existing approach and perspective for formulating EA adoption model. However, not many studies were emphasized during the stage of the adoption phase. Currently, EA adoption model was also being emphasized in EA implementation. Notwithstanding these limitations, the researcher will further be investigating the possible development of EA adoption model during the adoption phase and early phase of the EA cycle. This can provide wide-ranging and rational views of business, information, and technology for the organisation. It is also found out that, the organizational adoption of EA is still missing from the technological, organizational, environmental and pressure (TOEP). Based on inferences from the previous study, there were relatively little empirical studies conducted in EA adoption studies. The existing studies tend to apply single and multiple theories from organization and management domain in one study. Therefore, this paper aims to investigate the factors that influence EA adoption at the organization level and propose a conceptual model for EA adoption from TOEP perspective. The research method of the survey using questionnaires will be employed on the multiple organizations as the selected sample size of the population. This study would be integrated with the advanced knowledge with the development of the extended and integrative TOE model with the inclusion of institutional theory and moderator variable and its relation to Enterprise Architecture adoption. This research may shed the light on the EA adoption process in organisation by proposing EA adoption model as guidelines for the decision makers in understanding factors that influence EA adoption in the MPS in the future.

Original languageEnglish
Pages (from-to)3892-3910
Number of pages19
JournalJournal of Theoretical and Applied Information Technology
Volume97
Issue number14
Publication statusPublished - Jun 2019

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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