Factors of organizational adoption of enterprise architecture in Malaysian public sector: a multi group analysis

Abstract

Purpose The relevant importance of enterprise architecture (EA) to an organization has gained the attention of the public sector. However, its adoption rate remains slow on the uptake. Thus, this study aims to investigate the various factors associated with adoption intention based on the technological, organizational and environmental framework for federal and state types of public organizations to provide greater predictive accuracy and relevance of EA adoption in Malaysia’s public sector (MPS) context. Design/methodology/approach An empirical study was conducted through an online survey in Malaysia. Based on 255 samples from public organizations throughout Malaysia, a multigroup analysis with partial least square structural equation modeling was performed to identify the respective influencing factors for adopting EA by federal and state organizations in the Malaysian public sector. Findings Five organizational factors (clear communication, normative pressure, expected benefit, good governance and organization size) and two environmental factors (coercive pressure and mimetic pressure) were found to be significant factors influencing adoption intention for EA. Additionally, clear communication and coercive pressure were noted to be significant factors influencing adoption for both federal and state organizations. Other significant factors for federal organizations include expected benefit and normative pressure, whereas for state organizations, another significant influencing factor was good governance. The predictive accuracy for federal organizations was slightly higher at 74.6% than that of state organizations, that is, at 65%. Research limitations/implications These findings imply that federal and state organizations respond to different factors that motivate their intention to adopt EA. These findings guide future intentional practice and ensure greater motivation for EA adoption. Practical implications The identification of specific factors that matter to the federal and state public organizations in driving intention to adopt EA in this study has provided significant information that could help in effective decision-making process for these organizations. Common strategies that emphasize on clear communication and coercive pressure can be applied to address EA adoption processes for both federal and state public organizations. Further to that, more specified strategies such as highlighting expected EA benefits and instilling good governance work more effectively for federal and state, respectively. Originality/value This study has provided a more extensive view of EA adoption in MPS by differentiating the discerning factors based on the technological–organizational–environmental framework significant for federal and state types of organizations. Hence, this could help in formulating strategies specified to the organization type and ensure greater success in EA adoption in both federal and state organizations.

SEM-neural network analysis for mobile commerce adoption in Vietnamese small and medium-sized enterprises

“…The lack of significance of top management support contradicts previous studies on organizational m-commerce adoption (Otieno and Kahonge, 2014; Alfahl et al , 2017; Li and Wang, 2018). However, this finding aligns with studies by Intan Salwani et al (2009) and Ahmad et al (2022), which found that top management support is not significant in the adoption of e-commerce in SMEs in Pakistan and the adoption of enterprise architecture in the Malaysian public sector, respectively. This could be due to m-commerce adoption not being a priority for SMEs, who may be more focused on meeting the needs of their business partners (Intan Salwani et al , 2009).…”

Socially relevant factors of organizational mortality of enterprises: context of corporate sustainability in European countries

“…On an ongoing basis, scientists from various branches of entrepreneurial activity seek and study the factors that affect the operation of enterprises at different stages of their life cycle, identifying the most important, influential factors among them. Clear examples are papers on relevant factors of enterprises by the following scientists: Kartanaite et al (2021) research essential factors for industrial enterprises; Ouyang et al (2022) determine factors in the construction industry using dynamic econometric analysis; Camilleri et al, (2022) review factors affecting family businesses in tourism and hospitality; Ahmad et al (2022) perform a multi-group analysis of essential factors of enterprise architecture; Shvindina et al (2022), Kravchenko et al (2022), Kazeem et al (2022) examine important factors for institutions in the medical field; Kaya (2022) analyze the factors of small and medium-sized enterprises using an adaptive model; and many others who study essential factors influencing the functioning of enterprises Maris (2022), Ozkan et al (2022), Seguer and Hasna (2022).…”

Business-IT Alignment through Enterprise Architecture in a Strategic Alignment Dimension: A Review

“…EA is a comprehensive and holistic tool for managing and maintaining alignment between business and IT [4] [8] [18][19] [20]. It assists companies in achieving their goals by designing information technology that supports the integration of business and IT strategies [18][21] [22][23] [24]. BITA is crucial management attention that supports managers in achieving organizational goals, improving workflow, increasing profitability, making informed IT investment decisions, maintaining competitive advantage, and enhancing organizational performance [18] [25].…”