How Enterprise Architecture Formative Critical Success Facets Might Affect Enterprise Architecture Success: A Literature
Though Enterprise Architecture (EA) is getting increasing attentions from both academics and practitioners, EA research around EA success factors remains modest and immature. This study explores how EA formative critical success facets/factors would affec
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Abstract. Though Enterprise Architecture (EA) is getting increasing attentions from both academics and practitioners, EA research around EA success factors remains modest and immature. This study explores how EA formative critical success facets/factors would affect the achievement of EA success. This research highlights the importance of four mediators, i.e., (I) Real and mature business needs; (II) Real and continuous commitment; (III) Actionable EA programs; and (IV) Well-controlled execution of EA programs. This study deepens our understanding of EA success and would be of explanatory contribution to EA value development and action-guiding contribution to EA adoption and implementation. Keywords: Enterprise architecture success, Success facets, Formative factors, Casual relationship, Literature analysis.
1
Introduction
Enterprise architecture now is emerging as an enterprise problem-oriented discipline [1], and actually problem-finding is more concerned than problem-solving [2]. Though Enterprise architecture gains increasing attentions from both academics and practitioners, “we are far from establishing a solid empirical base for enterprise architecture” [3]. EA is multi-dimensional [4, 5]. As a result, EA success sounds somewhat multi-dimensional. Similarly, formative EA success factors sounds multifaceted. Partly due to this reason, still there is no single commonly agreed-upon definition for Enterprise Architecture[6, 7], as a result, “defining EA is highly debated in both academia and industry” [8]. Several studies around EA success factors (cf. [3, 9]) are dedicated to demystifying the potential formative success factors of enterprise architecture. Still, understanding of EA success remains modest. In practice, measure, trace and control of EA success look quite immature [8, 10-13] with inadequate success measurement [14]. The casual relationships between EA success factors and EA success are not well conceptualized and keep constantly unclear. This research is dedicated to demystify these casual relationships. The rest of this paper is organized as follows. Section 2 details the research design. After that, K. Liu et al. (Eds.): ICISO 2014, IFIP AICT 426, pp. 197–209, 2014. © IFIP International Federation for Information Processing 2014
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H. Wan, A. Luo, and X. Luo
Section 3 briefly presents the many EA success factors/facets. Then Section 4 as the core of this study proposes a synthesizing model. Finally, Section 5 concludes the paper.
2
Research Design
The research model is illustrated in Fig. 1. With EA success in the center, matters as to EA success factors in two directions are present in Fig. 1, i.e., (I) formative-affective EA success factors, and (II) reflective-indicative EA success factors. The inherent distinction between formative and reflective factors could be found in [15, 16]. It is noteworthy that lag effects and EA reflective factors are excluded in our focus; instead, as highlighted in bold in Fig. 1, we concentrate on EA formative factors and their relations to EA success.
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