Does Knowledge Sharing Belief of Data Analysts Impact Their Behavior?

Abstract

If data analysts’ do not share the insights they obtain through the use of data analytics tools, firms may not be able to enhance the quality of their decisions. Therefore, it is critical to understand the factors that encourage data analysts to share their knowledge. In this study, we utilize the theory of planned behavior to understand whether the data analysts’ knowledge sharing beliefs form their behavior. We also utilize contingency and task-technology fit theories to understand the factors that influence the impact of data analysts’ knowledge sharing beliefs on their behaviors. Survey data collected from 226 data analysts U.S.-based companies and the findings showed that: data analysts’ knowledge sharing belief is formed by subjective norm and perception of control; task interdependency does not moderate the effect of data analysts’ knowledge sharing belief on their knowledge sharing behavior; analytical skills positively moderate this association; and tool comprehensiveness negatively moderates it.

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