The effects of personality traits on business intelligence usage: A decision-making perspective (original) (raw)

Business intelligence (BI) has been widely employed to manage and refine vast stocks of data. However, to date, very little attention has been paid to personality traits on different BI usage patterns. The purpose of this study is to investigate the effects of personality traits on BI usage intentions. The Bagozzi, Dholakia and Basuroy (BDB) model and a personality framework are used in this study. By collecting data of 354 managers from China and Taiwan, we empirically examine the proposed model. The results show that conscientiousness and openness to experience are significantly related to the intention to read information and the desire to exchange reports respectively. Additionally, the intention to read information directly or indirectly influences the intention to create reports through the desire to exchange reports. The findings can help organizations select users with suitable traits to boost usage patterns during BI implementation.

Towards an understanding of actual business intelligence technology use: an individual user perspective

Information Technology & People, 2022

PurposeAlthough much is understood about Business Intelligence (BI) technology adoption, less is known about the complementary organisational resources that drive the actual use of BI systems and the impacts of BI systems at an individual employee level. This study aims to develop and test a model of the impact of key complementary organisational resources on employees' actual BI systems’ use behaviours and their decision-making performance.Design/methodology/approachTo test the research model, a cross-sectional survey of 437 North American employees, who described themselves as using a BI system to make decisions, was conducted. The partial least square (PLS), a structural equational modelling (SEM) technique, was employed to analyse the survey data.FindingsThe survey findings attest to the influence of key complementary organisational resources (i.e. data-based culture (DBC), quality of data in source systems and decision-making autonomy) on employees' actual BI use (compr...

Influencing Factors of Business Intelligence Continuance Usage Intention: A Case Study of Government-Owned Insurance Company

2020

Business Intelligence is a technological trend in supporting strategic analysis and decision making in organizations. Many organizations claimed to have successfully adopted Business Intelligence, many also reported failure after adoption. Taspen is one of government-owned insurance company in Indonesia that has problems with the use of Business Intelligence, it decreased to reach 16% in the first year. Based on these facts it is necessary to analyze the factors that influence the continued use of Business Intelligence in the company. This study uses a quantitative approach through the distribution of questionnaires to decision makers and users of Business Intelligence. From the results of data collection, there were 195 respondents who were analyzed using Covariance Based SEM (CB-SEM) with the help of IBM Amos v22 software. This study proposes a framework model that combines External Stimuli, Affective Response, and Cognitive Response to the continuity of Business Intelligence use....

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