publication . Article . 2017

An assessment of business intelligence in public hospitals

Rikke Gaardboe; Niels Sandalgaard; Tom Nyvang;
Open Access English
  • Published: 01 Jan 2017
  • Country: Denmark
In this paper, DeLone and McLean's information systems success model is empirically tested on 12 public hospitals in Denmark. The study aims to investigate the factors that contribute to business intelligence (BI) success. 1,352 BI end-users answered the questionnaire. A partial least square structural equation model was used to empirically test the model. We find that system quality is positively and significantly associated with use and user satisfaction, and that information quality is positively and significantly associated with user satisfaction. User satisfaction is positively and significantly related to individual impact. The other paths in the model are...
free text keywords: Business intelligence, Evaluation, Healthcare information system, IS success, Quantitative method, Management. Industrial management, HD28-70
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50 references, page 1 of 4

[1] A. Teague, “No innovation without quality,” in The Drivers of Digital Transformation, F. Abolhassan, Ed. Cham, Switzerland: Springer International Publishing, 2017, pp. 73-81.

[2] R. Gaardboe, T. Nyvang and N. Sandalgaard, “Business intelligence success applied to healthcare information systems,” in International Conference on Health and Social Care Information Systems and Technologies, Barcelona, Spain, 2017 [OpenAIRE]

[3] L. B. Madsen, Data-driven Healthcare: How Analytics and BI Are Transforming the Industry, Hoboken, New Jersey, USA: John Wiley and Sons, Inc., 2014.

[4] W. Raghupathi and V. Raghupathi, “An overview of health analytics,” Journal of Health & Medical Informatics, vol. 4, no. 3, pp. 1-11, 2013. [OpenAIRE]

[5] Gartner, Inc. (2017,11,16). Business Intelligence (BI) [online]. Available:

[6] S. T. Parente and J. L. Dunbar, “Is health information technology investment related to the financial performance of US hospitals? An exploratory analysis,” International Journal of Healthcare Technology and Management, vol. 3, no. 48, pp. 48-58, 2001.

[7] P. Brooks, O. El-Gayar and S. Sarnikar, “A framework for developing a domain specific business intelligence maturity model: application to healthcare,” International Journal of Information Management, vol. 35, pp. 337-345, 2015. [OpenAIRE]

[8] T. Mettler and V. Vimarlund, “Understanding business intelligence in the context of healthcare,” Health Informatics Journal, vol. 15, pp. 254-264, 2009. [OpenAIRE]

[9] W. Yeoh and A. Koronios, “Critical success factors for business intelligence systems,” Journal of Computer Information Systems, vol. 50, pp. 23-32, 2010. [OpenAIRE]

[10] L. Dawson and J.-P. Van Belle, “Critical success factors for business intelligence in the South African financial services sector,” South African Journal of Information Management, vol. 15, 2013.

[11] P. Hawking and C. Sellitto, “Business intelligence (BI) critical success factors,” in 21st Australian Conference on Information Systems, Brisbane, Australia, 2010.

[12] A. Riabacke, A. Larsson and M. Danielson, “Business intelligence in relation to other information systems,” in International Conference on advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2014, pp. 103-108.

[13] T. A. Eikemo and C. Bambra, “The welfare state: a glossary for public health,” Journal of Epidemiology & Community Health, vol. 62, pp. 3-6, 2008. [OpenAIRE]

[14] O. Tona, S. A. Carlsson and S. Eom, “An empirical test of DeLone and McLean's information system success model in a public organization,” in 18th Americas Conference on Information Systems 2012, Seattle, USA, 2012. pp. 1374-1382. [OpenAIRE]

[15] W. H. DeLone and E. R. McLean, “Information systems success: the quest for the dependent variable,” Information Systems Research, vol. 3, pp. 60-95, 1992.

50 references, page 1 of 4
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