Business Intelligence Adoption Model During the Digital Transformation Era: An Empirical Investigation in the Jordanian Insurance Companies

Qatawneh, N; Aljaafreh, A; Al-Laymoun, O

Business Intelligence Adoption Model During the Digital Transformation Era: An Empirical Investigation in the Jordanian Insurance Companies

Qatawneh, N Aljaafreh, A Al-Laymoun, O

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Technical and Vocational Education and Training, 2024, 38, pp. 543-552
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Qatawneh, N
dc.contributor.author	Aljaafreh, A
dc.contributor.author	Al-Laymoun, O
dc.date.accessioned	2024-08-22T04:26:45Z
dc.date.available	2024-08-22T04:26:45Z
dc.date.issued	2024-01-01
dc.identifier.citation	Technical and Vocational Education and Training, 2024, 38, pp. 543-552
dc.identifier.isbn	9789819969081
dc.identifier.uri	http://hdl.handle.net/10453/180536
dc.description.abstract	Academics and entrepreneurs are curious about business intelligence (BI) technologies, and business executives are beginning to apply them to make well-informed choices for effective management. Organizations have increasingly used business intelligence and applied it to supporting decisions. However, the factors that impact adoption decisions continue to be a subject of considerable academic interest. Also, developing countries like Jordan are just beginning to use business intelligence (BI). The purpose of this study is to investigate the influential factors on the adoption of business intelligence in the insurance sector. In this context, the study proposed and investigated a conceptual framework that demonstrates the influence of numerous technological, organizational, and environmental factors on the adoption of business intelligence (BI) and the decision-making performance of companies. A questionnaire will be developed to obtain data from 22 insurance companies in Jordan that have adopted BI. For data analysis and to investigate the relevant hypothesis, structural equation modeling (SEM) will be performed. The study could assist Jordanian insurance sector management in boosting the use and breadth of business intelligence.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Technical and Vocational Education and Training
dc.relation.ispartofseries	Technical and Vocational Education and Training: Issues, Concerns and Prospects
dc.relation.isbasedon	10.1007/978-981-99-6909-8_48
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Business Intelligence Adoption Model During the Digital Transformation Era: An Empirical Investigation in the Jordanian Insurance Companies
dc.type	Chapter
utslib.citation.volume	38
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-08-22T04:26:44Z
pubs.publication-status	Published
pubs.volume	38

Abstract:

Academics and entrepreneurs are curious about business intelligence (BI) technologies, and business executives are beginning to apply them to make well-informed choices for effective management. Organizations have increasingly used business intelligence and applied it to supporting decisions. However, the factors that impact adoption decisions continue to be a subject of considerable academic interest. Also, developing countries like Jordan are just beginning to use business intelligence (BI). The purpose of this study is to investigate the influential factors on the adoption of business intelligence in the insurance sector. In this context, the study proposed and investigated a conceptual framework that demonstrates the influence of numerous technological, organizational, and environmental factors on the adoption of business intelligence (BI) and the decision-making performance of companies. A questionnaire will be developed to obtain data from 22 insurance companies in Jordan that have adopted BI. For data analysis and to investigate the relevant hypothesis, structural equation modeling (SEM) will be performed. The study could assist Jordanian insurance sector management in boosting the use and breadth of business intelligence.

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http://hdl.handle.net/10453/180536