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Improving Sequential Investment Business Intelligence with Imitation and Experiential Learning

Bau-Jung Chang,

Abstract


The study works on sequential investment business intelligence modeling according informational cascades, organizational learning, and evolutionary theory. Drawing on the direct experience learning and the observational experience of learning influence decision making, the business intelligence model separates these two mechanisms considering experiential learning and imitation, and investigates while direct experience increases. After employing the longitudinal and sequential investment data of firms, the result shows that experiential learning improve the firms' imitative behavior and business evolution. The model of research with different experience bases has distinct reactions to external information and decision-making behavior, and help business to reduce risk for business investment.

Keywords


Organizational learning; Interorganizational imitation; Sequential investment; Business intelligence

Citation Format:
Bau-Jung Chang, "Improving Sequential Investment Business Intelligence with Imitation and Experiential Learning," Journal of Internet Technology, vol. 18, no. 1 , pp. 215-222, Jan. 2017.

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