Business intelligence (BI) applications have gained significant attention as a viable option to address the challenges of complex business decisions. While several studies examined key determinants of BI adoption at the organizational level, individual-level factors influencing the adoption of BI applications have received less attention. Drawing upon various theories and adoption literature, this research-in progress study attempts to identify factors that affect an individual's decision to adopt BI application. The initial survey was conducted, and we present preliminary data analysis result. © 2014 IEEE.
CITATION STYLE
Yoon, T. E., Ghosh, B., & Jeong, B. K. (2014). User acceptance of business intelligence (BI) application: Technology, individual difference, social influence, and situational constraints. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 3758–3766). IEEE Computer Society. https://doi.org/10.1109/HICSS.2014.467
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