مقاله انگلیسی رایگان در مورد موفقیت هوش تجاری در سیستم های اطلاعاتی – الزویر 2017

In this paper, DeLone and McLean’s IS Success Model is empirically tested on a Business Intelligence System applied to Healthcare Information Systems at 12 public hospitals in Denmark. The purpose of the study is to investigate which factors contribute to BI Success. A total of 1351 end-users replied to the questionnaire, and the response rate was 32%. Eight relationships in the model were tested, and four relationships were found to be significant. Our results are as follows: System Quality is positively and significantly associated with Use and User Satisfaction. Information Quality is positively and significantly associated with User Satisfaction but not Use, and User Satisfaction is not significantly associated with Use and vice versa. User Satisfaction is positively and significantly associated with Individual Impact, but Use is not significantly associated with Individual Impact.

Introduction

In many organisations, the IT manager’s top priority is to handle the increasing amounts of data produced internally and externally and make the data available to analysts and decision makers at all levels of the organisation1 . This development results from the management’s desire to create a data-driven organisation. According to Madsen: ‘Datadriven means that information must be consumable and contextual, to encourage action that will modify behaviour over time’2 .The healthcare sector has historically generated a significant amount of data, driven by the demand for record keeping, compliance, regulatory requirements and patient care3 . Therefore, it is relevant to use Business Intelligence (BI) applied to Healthcare Information Systems (HIS). Parente and Dunbar found that healthcare organisations with Information Systems (IS) have higher total margins and operating margins than those that do not have IS4 . BI is an umbrella term that includes applications, infrastructure, tools and best practices that enable access to and analysis of information to improve and optimise decisions and performance5 . Obtaining BI success is complex, and this complexity carries a cost6 . The investment in BI technologies is expensive, because the implementation includes infrastructure, software, licenses, training and wages7 . Moreover, the literature indicates that many organisations fail to realise the expected benefits of BI8–10. An area with a huge amount of data and high system complexity is the public sector11. It is important to point out that the evaluation of IS differs between private and public organisations12. Still, most research on IS evaluation has been focused on the private sector12. In Scandinavian countries, the healthcare sector, including hospitals, is financed and run by the public sector. Health insurance and private hospitals constitute a small part of the sector. The Scandinavian welfare model is a political model that includes Denmark and other Nordic countries and was developed after the end of World War II. The basic principles of this model imply, on one hand, that all citizens of society have access to social and healthcare services without regard to their social background or origin and, on the other hand, that the benefits are not linked to insurance contributions or other forms of user payment13. The health sector has been late to use BI on their data from HIS because the complexity in this sector is much higher than in the private sector2 . The public hospitals in Denmark use BI with HIS as a data source in combination with other data sources, such as the accounting and payroll system. Most professions have access to the BI system, including secretaries, doctors, care staff, management and administrative staff. Sometimes they have access to data both in the source system and in the BI system; other times the data come only from BI.