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- W2620885045 abstract "Data-driven decision-making (DDDM) is said to have huge benefits for organizations. Data are generally kept in IS, and humans use these data for informed decision-making. Therefore, DDDM is fundamentally related to the adoption and use of IS by individuals. IT adoption and use is influenced by personality and cognitive style, but not much is known on how personality and cognitive style influence the adoption and use of data-driven decision support systems. Our study aims to further our understanding of this influence. Through a structured literature review of IS literature, 55 papers were found and analyzed, resulting in 14 relevant topics and 7 key papers. Our findings indicate that personality and cognitive style may influence the adoption and use of data-driven decision support systems. We provide implications for future research to obtain a better understanding of DDDM, and practitioners can use our results to realize more successful DDDM." @default.
- W2620885045 created "2017-06-09" @default.
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- W2620885045 date "2017-01-01" @default.
- W2620885045 modified "2023-09-25" @default.
- W2620885045 title "Data-driven Decision-making and the Role of Personality and Cognitive Style: A Systematic Literature Review" @default.
- W2620885045 hasPublicationYear "2017" @default.
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