Business intelligence maturity model (BIMM) : a model for Malaysian Public Universities /

The continuous technological advancement increased the amount of business data needed to be stored. Organizations have comprehended the benefits of these data and use business intelligence to gain helpful insights and support decision-making through data analysis. However, only six models were found...

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Bibliographic Details
Main Author: Muhammad Harith Zahrullaili (Author)
Format: Thesis Book
Language:English
Published: Kuala Lumpur : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 2022
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/11453
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040 |a UIAM   |b eng   |e rda  
041 |a eng  
043 |a a-my--- 
100 |a Muhammad Harith Zahrullaili  |9 574828  |e author 
245 |a Business intelligence maturity model (BIMM) :   |b a model for Malaysian Public Universities /  |c by Muhammad Harith bin Zahrullaili 
264 1 |a Kuala Lumpur :  |b Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,  |c 2022 
300 |a xix, 285 leaves :  |b illustrations ;   |c 30cm. 
336 |a text   |2 rdacontent 
337 |a unmediated   |2 rdamedia 
337 |a computer  |2 rdamedia 
338 |a volume   |2 rdacarrier 
338 |a online resource   |2 rdacarrier 
347 |a text file   |b PDF  |2 rdaft 
500 |a Abstracts in English and Arabic.  
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Doctor of Philosophy in Information Technology." --On title page.  
502 |a Thesis (Ph.D)--International Islamic University Malaysia, 2022.  
504 |a Includes bibliographical references (leaves 225-253).  
520 |a The continuous technological advancement increased the amount of business data needed to be stored. Organizations have comprehended the benefits of these data and use business intelligence to gain helpful insights and support decision-making through data analysis. However, only six models were found in the current literature relating to business intelligence maturity models. In addition, most of these models did not provide an assessment tool for their users to measure the maturity level and are not explicitly designed for Malaysian public universities. A new business intelligence maturity model is developed in this study and tested using a mixed-methodology to remedy gaps presented by past models. This study explored business intelligence maturity factors with a quantitative survey involving 296 information technology employees in Malaysian public universities. It identified its relationship with business intelligence maturity level from qualitative in-depth interviews with another 12 information technology employees. The quantitative survey responses were analyzed using the multiple regression analysis. The results show that organization, people, technology, data, process, and outsourcing are the essential predictors of business intelligence maturity. Then, the in-depth interviews revealed that all six factors could be further expanded to sixteen key attributes. Finally, results from quantitative and qualitative were synthesized to produce meta-inferences and develop the final model. The model testing phase shows that Malaysian public universities can use this model to self-assess their business intelligence maturity. A model that contains a self-assessment tool is beneficial to its users in determining their capabilities and helps them adopt successful business intelligence. This study contributes to existing stages of growth theory by developing a new model with a non-linear maturity path using the mixed-methodology. 
655 0 |9 64  |a Theses, IIUM local 
690 |9 19519  |a Dissertations, Academic  |x Kulliyyah of Information and Communication Technology  |z IIUM 
700 0 |a Mohamad Fauzan  |e degree supervisor 
700 0 |a Mohd Izzuddin  |e degree supervisor 
710 2 |9 536970  |a Arabic Debating Club (International Islamic University Malaysia)  |b Kulliyyah of Information and Communication Technology 
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