Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/194773 
Erscheinungsjahr: 
2018
Quellenangabe: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 6 [Issue:] 1 [Publisher:] Taylor & Francis [Place:] Abingdon [Year:] 2018 [Pages:] 1-15
Verlag: 
Taylor & Francis, Abingdon
Zusammenfassung: 
The purpose of the study is to consider and measure the intellectual capital towards the financial performances of the local banks in Malaysia. The study will implement the Value Added Intellectual Coefficient (VAIC) method to evaluate the financial performances of the ten local banks in Malaysia. The study will determine how the intellectual capital influences the financial performances of banks in terms of two periods which are latest six years from 2011 to 2016 and the past ten years from 2007 to 2016. The regression analysis results to indicate that the components of intellectual capital have their influences towards the bank's financial performances indicators. Over the six years and ten years periods, Capital Employed Efficiency has the significant relationship on Return on Assets. For the Return on Equity, Human Capital Efficiency (HCE) has the significant relationship over the latest six years while Structural Capital Efficiency (SCE) has the significant relationship over the ten years. Then, SCE has the significant relationship towards the Leverage (LEV) for the latest six years compare to the past ten years whereby HCE has the significant relationship towards the LEV. These results determine that the banks need to focus on the three components of intellectual capital whereby all the three efficiencies have the influences to enhance the best financial performances in Malaysia's banking sector.
Schlagwörter: 
intellectual capital
financial performance
human capital efficiency
structural capital efficiency
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
766.91 kB





Publikationen in EconStor sind urheberrechtlich geschützt.