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The effects of personality traits on business intelligence usage: a decision-making perspective
Chang, Yu-Wei1, Hsu, Ping-Yu2, Shiau, Wen-Lung3, Wu, Zeng-Yuan4.
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.
Affiliation:
- China Jiliang University, China
- National Central University, Taiwan
- Min Chuan University, Taiwan
- China Jiliang University, China
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MyJurnal (2019) |
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Immediacy Index
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0.000 |
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Web of Science (JCR 2016) |
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0.650 |
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Q3 (Information Science & Library Science) |
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Scopus (SCImago Journal Rankings 2016) |
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Q2 (Library and Information Sciences) |
Additional Information |
0.399 (SJR) |
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MyAIS (Impact 2010) |
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2.02 |
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Library Literature and Library and Information Science Abstracts (LISA) |
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Additional Information |
SJR 0.439 Cites/Doc.(2years) 0.630 |
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