Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

BUSINESS INTELLIGENCE IMPLEMENTATION: AN EVALUATION OF ITS IMPACT ON THE QUALITY OF DECISION-MAKING IN JORDAN’S MINING SECTOR

El-Adaileh, N (2020) BUSINESS INTELLIGENCE IMPLEMENTATION: AN EVALUATION OF ITS IMPACT ON THE QUALITY OF DECISION-MAKING IN JORDAN’S MINING SECTOR. Doctoral thesis, Liverpool John Moores University.

[img] Text
2020NadeemPhD.pdf - Published Version
Restricted to Repository staff only until 17 July 2022.

Download (8MB)

Abstract

Within the literature, it has been stressed that the popular business intelligence system (BIS) is a key form of information system (IS) that provides decision-makers with actionable and insightful real-time information to help enhance the organisational performance through more effective decision-making. Nowadays, in the context of the market growth of BISs, the mining sector in Jordan has begun to embrace the implementation of such systems, which are perceived to be necessary for supporting decision-making, and thereby leveraging competitive advantage. As per myriad systems that are organisation-wide, BISs are complex and their implementation can be challenging, with the risk that the measures of expected success may fail to be met. Problems in implementation can be multifarious, including the determination of which business processes and content should be included, which technologies are appropriate for the organisational needs, how business intelligence (BI) is to be integrated within the existent systems, and how to manage the organisational culture to promote change and acceptance. Currently, research for the determination of the key factors contributing to success in the implementation of BI is limited. Furthermore, there is a lack of research related to understanding success in BI implementation within developing countries, the Middle East and North Africa (MENA) in general, and in Jordan in particular. The existing gap is addressed by this study, which aims to identify those implementation factors that have an impact on BI success within the Jordanian mining sector, so that a suitable BI implementation success model can be developed for that particular sector. An extensive review of literature was undertaken, enabling a conceptual framework to be developed based on previous studies, the identified implementation factors and theories of success for ISs. For this research, a positivist philosophy was adopted with a deductive approach and quantitative method that utilised a web-based questionnaire survey to acquire quantitative data for the testing and validation of the proposed framework. A total of 372 valid instruments were received from a sample of managers working within the Jordanian mining sector. SPSS (v.25) was employed in the analysis of the demographic statistics, while AMOS (v.25) was utilised in testing the measurement model through confirmatory factor analysis, and for testing the structural model via structural equation modelling; both of these demonstrated a good fit to the data, with good construct validity. The findings showed that BIS success was affected by a number of implementation factors: business plan and vision, management support, champions, resources, IT infrastructure, attitudes toward technology, project management, data source systems and user participation. Moreover, this research has confirmed that system quality impacts significantly upon information quality, while information quality also impacts significantly upon decision quality. In addition, the results indicated that BIS quality has a mediating influence in the relationship between information quality resulting from the system of BI and the implementation factors. Furthermore, the results showed that the information quality provided from the BIS has a mediating influence on the relationship between decision quality and system quality. This study progresses the body of literature in terms of i) investigating implementation factors that impact BI success within the mining sector in Jordan, ii) evaluating BI and IS success, iii) assessing the relationships of mediation amongst implementation factors that are associated with success in BISs, and iv) proposing a BI implementation model for the mining sector in Jordan. Moreover, this research makes a contribution and has particular relevance for decision-makers and practitioners seeking strategies for the improvement of success in BISs. The study offers guidance with regard to key implementation factors for BI, is convincing with regard to the value of BI and encourages its use within decision-making in order to ensure a positive impact on the quality of the decisions made.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: Business Intelligence; Information System; Decision Quality; Critical Success Factor
Subjects: H Social Sciences > HF Commerce > HF5001 Business
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Doctoral Management Studies (new Sep 19)
Date Deposited: 29 Jul 2020 15:59
Last Modified: 29 Jul 2020 15:59
DOI or Identification number: 10.24377/LJMU.t.00013307
Supervisors: Foster, S
URI: https://researchonline.ljmu.ac.uk/id/eprint/13307

Actions (login required)

View Item View Item