Abstract
Due to ubiquitous information requirements, market interest in mobile business intelligence (BI) has grown markedly. However, mobile BI market is a relatively new area that has been driven primarily by the IT industry. Yet, there is a lack of systematic study on the critical success factors for mobile BI. This research reviews the state-of-the-art of mobile BI, and explores the critical success factors based on a rigorous examination of the academic and practitioner literature. The study reveals that critical success factors of mobile BI generally fall into four key dimensions, namely security, mobile technology, system content and quality, and organisational support perspectives. The various research findings will be useful to organisations which are considering or undertaking mobile business intelligence initiatives.
Highlights
In recent years many enterprises have turned their efforts toward implementing Business Intelligence (BI) systems to improve their decision-making processes (Gartner 2013)
The Information System (IS) literature contains a number of empirical studies about the critical success factors (CSFs) for business intelligence success
This study finds there is little academic research into the CSFs that affect mobile business intelligence (BI) from managerial and technological perspectives
Summary
In recent years many enterprises have turned their efforts toward implementing Business Intelligence (BI) systems to improve their decision-making processes (Gartner 2013). In an increasingly mobile world, the mobile workforce requires critical information to be accessible almost immediately (‘real time’) at anytime and anywhere, calling for a focus on BI delivery. In response to this need, interest in mobile BI by commercial markets has grown markedly recently. According to Gartner (2011), worldwide smartphone sales will have reached 630 million units in 2012, and are predicted to reach 1,105 million units by year 2015.IT-literate employees rely on desktop computers, but they want mobile access to corporate data.
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