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Research Article Open access CC BY 4.0

Business Intelligence Readiness for Higher Learning Institution (IHL): Preliminary Study and Research Model

Abdul Razak Rahmat, Azizah Ahmad, Azman Ta’a

Current Journal of Applied Science and Technology · pp. 1–10 · Published 16 Apr 2016

10.9734/BJAST/2016/24383

Abstract

Introduction: Business Intelligence Systems (BIS) are the most potential application for many popular organizations in different industries such as telecommunication, healthcare, airline, transport, government and others. The implementation of Business Intelligence (BI) for Institutions of Higher Learning (IHL) is still at the early stage for most IHL organizations. Results of previous studies have found that more than half of BI projects fail to meet their objectives even though a lot money is spent. Based on that problem, it is important to identify the readiness level of BI for IHL in order to reduce the risk before the actual BI project is implemented. In this paper, a rigorous literature review on success factors such as Critical Success Factors (CSFs), Readiness Factors (RFs), Success Factors (SFs) are discussed by different authors. Aims: The aim of study is the Business Intelligent Readiness Model (BiRM) as a guild for IHL before implementing the BI system. Study Design: For this study, semi-structured interviews will be chosen as a method of collecting relevant qualitative data to explore and refine the model of BI readiness model for IHL in Malaysian. Here, the list of themes, issues to be addressed and questions to be asked were identified and pre-defined by the researcher. The use of semi-structured interviews ensures that information is captured from the respondent’s perspectives rather than being imposed by the researcher. Place and Duration of Study: The study will be conducted at Malaysian Institutions of Higher Learning (IHL). This study is expected to finish within a 12-month period. Methodology: The study is proposed to be conducted through a mix of methodology comprising qualitative and quantitative methods, including interviews and observations with a range of stakeholders such as ministry officers, computer centre managers, technicians and the end users from different IHL in Malaysia. Results: The result of the data collection will be analyzed using the causal modelling approach of SEM SmartPLS for the validity and the relationship between construct. The expected finding from this research is the Business Intelligent Readiness Model (BiRM) as a guild for IHL before implementing the BI system.

Business intelligence readiness model business intelligence for higher learning readiness factors

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