biostudies-literatureUnknown18(1)Shehab S<h4>Background</h4>Head nurses are vital in understanding and encouraging knowledge sharing among their followers. However, few empirical studies have highlighted their contribution to knowledge-sharing behaviour in Online Health Communities (OHCs). In addition, scant literature has examined the moderating role of knowledge self-efficacy in this regard.<h4>Purposes</h4>This study examines the moderating role of self-efficacy between the association of four selected individual factors of head nurses (i.e., Trust, Reciprocity, Reputation, and Ability to Share) and their knowledge-sharing behaviour in OHCs in Jordan.<h4>Method</h4>The data were obtained by using a self-reported survey from 283 head nurses in 22 private hospitals in Jordan. A moderation regression analysis using a structural ePloS onee0278721https://www.ebi.ac.uk/biostudies/studies/S-EPMC9851523biostudies-literatureKnowledge sharing behaviour among head nurses in online health communities: The moderating role of knowledge self-efficacy.PMC9851523Aldhmadi BKAl-Bsheish MAl-Mugheed KDauwed MJarrar MShehab SMeri AAlsyouf AKareem HMfalseKnowledge sharing behaviour among head nurses in online health communities: The moderating role of knowledge self-efficacy.<h4>Background</h4>Head nurses are vital in understanding and encouraging knowledge sharing among their followers. However, few empirical studies have highlighted their contribution to knowledge-sharing behaviour in Online Health Communities (OHCs). In addition, scant literature has examined the moderating role of knowledge self-efficacy in this regard.<h4>Purposes</h4>This study examines the moderating role of self-efficacy between the association of four selected individual factors of head nurses (i.e., Trust, Reciprocity, Reputation, and Ability to Share) and their knowledge-sharing behaviour in OHCs in Jordan.<h4>Method</h4>The data were obtained by using a self-reported survey from 283 head nurses in 22 private hospitals in Jordan. A moderation regression analysis using a structural e2023-01-01T00:00:00Z20232025-04-04T08:29:07.266Z2025-04-04T08:29:07.266ZS-EPMC98515233665689910.1371/journal.pone.0278721