Open AccessExamining the effect of user satisfaction and business intelligence system usage on individual job performance
Author(s) -
Amra Kapo,
Lejla Turulja,
Tarik Zaimović,
Senka Mehić
Publication year - 2021
Publication title -
management
Language(s) - English
Resource type - Journals
eISSN - 1846-3363
pISSN - 1331-0194
DOI - 10.30924/mjcmi.26.2.3
Subject(s) - computer science , business intelligence , computer user satisfaction , adaptation (eye) , quality (philosophy) , knowledge management , process (computing) , order (exchange) , business process , user experience design , business , marketing , human–computer interaction , work in process , psychology , user interface design , philosophy , epistemology , finance , neuroscience , operating system
Business intelligence systems are in widespread use today due to the many business benefits. Users are one of the key stakeholders in the business intelligence process. For optimal system adaptation, the user should be able to interact with the application in order to improve its capacity to contribute to decision-making. For the business intelligence process itself to be effective, it is necessary to define the user needs regardless of the type of work they do. If the user is satisfied and thinks that the system improves his/her performance or the quality of decisions made, they will want to use it even more. System usage has sometimes been viewed as a direct reflection of system performance; however, this is difficult to define in organizations where system usage is mandatory. Business intelligence systems are especially mandatory to use, as they are used in large organizations and require greater investment than other systems. This is why it is important to investigate the nature of system usage and its impact on individual performance. This research model deals with determinants that represent dimensions of the information system's success theory. Those determinants are: user satisfaction, intention to use, system usage, and individual performance. Obtained results show that increased user satisfaction and intention to use, lead to increased system usage and that both the increase in user satisfaction and system usage lead to a rise in individual user performance.