PurposeThis paper seeks to propose a conceptual structural equation model to investigate the relationships among human resource management (HRM), organizational learning (OL), knowledge management capability (KMC) and organizational performance (OP) and to demonstrate the direct and indirect effect of HRM on OP from the perspectives of KMC and OL.Design/methodology/approachAn empirical study is conducted in financial training centers in Taiwan and the collected survey data are used to test the relationships among the four dimensions expressed in the proposed structural equation model.FindingsThe results show that HRM has a direct and significant impact on OL and KMC. HRM influences OP indirectly through OL and KMC. In addition, OL and KMC have direct and significant influences on OP.Research limitations/implicationsOnly data from Taiwan were collected. Therefore, the results may not be easily generalized to other areas or countries, but are useful for managers' reference, especially for those whose circumstances are similar to those in Taiwan.Practical implicationsThe conceptual structural equation model provides useful information for managers to enhance OP through the adoption of appropriate HRM, OL and KMC policies.Originality/valueThe study demonstrates how HRM indirectly impacts OP and illustrates the paths of influence through either OL or KMC.

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Background: Symptom status is an important indicator of disease progression in patients with heart failure (HF). Perceived control is a target of most self-care interventions and is associated with better outcomes in HF; however, little is known about the relationship between perceived control and symptom status in patients with HF.Objective: To (1) determine the relationship of perceived control to HF symptom status, and (2) examine the associations of perceived control to self-care, and of self-care to symptom status.Methods: A total of 115 patients with HF were included. Data on symptom status (Memorial Symptom Assessment Scale-HF), perceived control (Control Attitudes Scale-Revised), and selfcare (Self-Care of Heart Failure Index) were collected. Other covariates included were age, gender, New York Heart Association (NYHA) class, comorbidity burden, and depressive symptoms. Multiple regression analyses were performed to analyze the data.Results: Lower perceived control predicted worse symptom status after controlling for covariates (p = 0.009). Other covariates predictive of worse symptom status were younger age, NYHA class