Drawing on Conversational Constraint Theory (CCT), this study aims to examine the causal relationships between constraint elements in knowledge-request conversations (i.e. request directness, request politeness, public versus private requests, affective relationships, the requestee’s gender and negative affective states), and knowledge hiding.
A survey of 386 knowledge employees from different companies in China was conducted. Event reconstruction principles were applied to reduce potential recall bias. Necessary Condition Analysis (NCA) and fuzzy set Qualitative Comparative Analysis (fsQCA) were used. NCA and fsQCA were used to perform necessary causality analyses (“No Y without X”), whereas fsQCA was used to conduct sufficiency analyses (“If X, then Y”).
The results show that no single factor in knowledge requests serves as a necessary condition for either high or low knowledge hiding; four pathways with different configurations lead to high knowledge hiding; and no consistent pathways leading to low knowledge hiding were identified, highlighting causal asymmetry in comparison to pathways leading to high knowledge hiding.
First, this study advances research on the antecedents of knowledge hiding by verifying the complex causal relationships between conversational constraints and knowledge hiding. Second, it offers new insights by proposing an integrated framework based on CCT. Third, a mixed-method approach, combining NCA and fsQCA, is used to provide a detailed analysis of the antecedents of knowledge hiding.
