Assessment of Pre- and Post-adoption Factors of Business Intelligence and Analytics Systems in Saudi SMEs

Almusallam, Maryam

Assessment of Pre- and Post-adoption Factors of Business Intelligence and Analytics Systems in Saudi SMEs

Almusallam, Maryam

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Almusallam, Maryam
dc.date.accessioned	2024-04-22T23:35:28Z
dc.date.available	2024-04-22T23:35:28Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/178221
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	In Small and medium-sized enterprises (SMEs), the usage of data has been rapidly increasing. Thus, the need to implement and use Business Intelligence and Analytics (BI&A) systems is crucial in order to enhance organisational performance. BI&A has attracted the attention of decision-makers, as these systems significantly impact forecasts of current and prospective views of the decision process in business operations. This impact will be realised only when BI&A is widely used. The literature suggests that more than 87% of BI&A projects in organisations fail to achieve their expected returns and benefits. However, literature reviews show that there is a need for more studies on BI&A systems adoption and use both in general and in SMEs in particular. Also, there is a dearth of studies relating to developing nations. Furthermore, little is known about how well the factors that influence the intention to adopt (pre-adoption) also predict extensive use (post-adoption) of the same technology. There have been huge changes in Saudi Arabia’s (SA’s) economic perspective in recent years. Instead of relying on oil alone as a source of income, there is now more than ever a growing need for SA to diversify into other economic sectors. SMEs have received special attention from the Saudi government, as this sector makes a great contribution to the gross domestic product (GDP). This study aims to examine the pre- and post-adoption factors that influence owners’/managers’ decisions to adopt and use BI&A systems in SMEs in SA and compare these factors' effects on both sides. To achieve this, an integrated model is proposed and empirically tested. This model integrates established theories, including the TOE framework, IS adoption for small businesses, and DOI theory. Ten factors are proposed under these theories. Using an explanatory sequential mixed method approach, data have been collected, starting with a survey and followed by an interview with the owners/managers of SMEs located in SA. The results showed that Saudi SMEs are still in the initial stage of adopting and using BI&A systems.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/178221/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2023 Maryam Almusallam
dc.rights	au.edu.uts.lib/cph
dc.title	Assessment of Pre- and Post-adoption Factors of Business Intelligence and Analytics Systems in Saudi SMEs	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

In Small and medium-sized enterprises (SMEs), the usage of data has been rapidly increasing. Thus, the need to implement and use Business Intelligence and Analytics (BI&A) systems is crucial in order to enhance organisational performance. BI&A has attracted the attention of decision-makers, as these systems significantly impact forecasts of current and prospective views of the decision process in business operations. This impact will be realised only when BI&A is widely used. The literature suggests that more than 87% of BI&A projects in organisations fail to achieve their expected returns and benefits. However, literature reviews show that there is a need for more studies on BI&A systems adoption and use both in general and in SMEs in particular. Also, there is a dearth of studies relating to developing nations. Furthermore, little is known about how well the factors that influence the intention to adopt (pre-adoption) also predict extensive use (post-adoption) of the same technology. There have been huge changes in Saudi Arabia’s (SA’s) economic perspective in recent years. Instead of relying on oil alone as a source of income, there is now more than ever a growing need for SA to diversify into other economic sectors. SMEs have received special attention from the Saudi government, as this sector makes a great contribution to the gross domestic product (GDP). This study aims to examine the pre- and post-adoption factors that influence owners’/managers’ decisions to adopt and use BI&A systems in SMEs in SA and compare these factors' effects on both sides. To achieve this, an integrated model is proposed and empirically tested. This model integrates established theories, including the TOE framework, IS adoption for small businesses, and DOI theory. Ten factors are proposed under these theories. Using an explanatory sequential mixed method approach, data have been collected, starting with a survey and followed by an interview with the owners/managers of SMEs located in SA. The results showed that Saudi SMEs are still in the initial stage of adopting and using BI&A systems.

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http://hdl.handle.net/10453/178221