Boonsiritomachai, Waranpong (2014) Enablers affecting the adoption of business intelligence : a study of Thai small and medium-sized enterprises. Other Degree thesis, Victoria University.

Abstract

Complexities in making effective and timely business decisions in highly competitive markets have driven many organisations to adopt data-driven, decision-making processes using Business Intelligence (BI) applications. Despite these applications being suited for use in most organisations regardless of size, only larger enterprises have reached a stage of maturity in BI use, while small and medium-sized enterprises (SMEs) still lag behind. Although there is a rich body of literature on information technology (IT) adoption and implementation, literature relating to BI adoption, especially in the SME context, remains limited. This study addresses the lack of a research framework for examining the current state of BI adoption and the identification of factors influencing decisions for BI adoption in SMEs. To address this research gap and support the adoption rate of BI in SMEs, the study develops a comprehensive research framework for categorising SMEs into different levels of BI adoption and explores the enabling factors that influence BI adoption in SMEs. In order to classify organisations into different BI levels, this study applies the information evolution model (IEM) used widely by practitioners to evaluate the levels of BI adoption in organisations. In investigating factors involved in adoption decisions, the study employs a multiple-perspective framework based on three adoption models, including the diffusion of innovation (DOI) theory, the technology organisation-environment (TOE) model, and the information systems adoption model for small business. The developed research framework contains eleven enabling factors covering four characteristics: technological innovation, environment, organisation, and owner-managers.

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