Enterprise architecture adoption model among public sector organizations
Enterprise architecture (EA) offers a holistic view on the effective integration of business, data, application, and technology in organizations as it enables communication between business and technical people through a mutually understandable language for devising coherent strategies, decisi...
Saved in:
| Main Author: | |
|---|---|
| Format: | text::Thesis |
| Language: | English |
| Published: |
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Enterprise architecture (EA) offers a holistic view on the effective integration of
business, data, application, and technology in organizations as it enables
communication between business and technical people through a mutually
understandable language for devising coherent strategies, decision-making and
information technology/information system desirable solutions in the organization.
Despite these benefits, EA is still not widely embraced and its adoption rate in public
sector is low. Hence, this study aims to identify the technological, organizational and
environmental factors influencing EA adoption in Malaysia’s public sector
organizations and then develop an EA adoption model for the Malaysian context. This
study also determines whether EA adoption is moderated by organization type (Federal
and State). The conceptual model developed in this study includes two technological
factors, seven organizational factors and three environmental factors. Data were
collected from five types of public sector organizations and involving 255 responses
which were analyzed using partial least squares structural equation modelling.
Findings of this study validated that five organizational factors (clear communication,
normative pressure, expected benefit, good governance, organization size) and two
environmental factors (coercive pressure and mimetic pressure) significantly influence
EA adoption intention. However, both technological factors (sufficient ICT
infrastructure and EA complexity) had insignificant influence on EA adoption
intention. Based on the Importance Performance Map Analysis, the most critical
factors of EA adoption intention are expected benefit (70.23%), communication
(70.05%), good governance (68.3%), normative pressure (63.92%) and mimetic
pressure (62.19%). The predictive accuracy and relevancy of the EA adoption model
was 66.5% and 57.5% respectively. Further to that, this research confirmed the
relationship between good governance and EA adoption was stronger for the local
authority whereas the relationship between expected benefit and EA adoption was
stronger for Federal public sector. Moreover, the multigroup analysis revealed that
organizational factors (clear communication and expected benefit) and environmental
factors (coercive pressure and mimetic pressure) were significant factors of EA
adoption intention for Federal public sector. Meanwhile organizational factors (clear
communication and good governance) and environmental factor (coercive pressure)
were significant factors of EA adoption intention for State public sector. The predictive
accuracy and relevancy for the EA adoption model for Federal public sector were
74.7% and 65.2% respectively while for State public sector, the predictive accuracy
and relevancy of its EA adoption model were 65.0% and 54.5% respectively. These
findings contributed significantly to the development of a clear guideline of factors
that need to be considered for EA adoption by Federal and State public sector
organizations. Overall, this research contributes to the body of knowledge and
practices of EA and IS/IT adoption in the context of public sector in Malaysia. |
|---|