TACIT KNOWLEDGE SHARING MODEL FOR BANKS: REMEDIAL MEASURE OF LIKELIHOOD OF DEFAULT
ABDUL AZIZ KHAN NIAZI , SULEMAN AZIZ LODHI , ABDUL BASIT , TEHMINA FIAZ QAZI
Niazi, A. A. K. Lodhi, S. S. Basit, A. & Qazi, T. F. (2020). Tacit Knowledge Sharing Model for Banks: Remedial Measure of Likelihood of Default. Bulletin of Business and Economics, 9(1), 32-50.
Non-Performing Loans (NPLs) adversely affect financial performance of banks which is a persistent problem of banking. NPLs are time and again built-up in banking sectors and drag economies towards crises. Search for better solutions to problem is high on agenda of research. This study is aimed to provide a better solution to problem of NPLs. It uses analytical conceptual approach of research and addresses issue in knowledge management perspective. Critical review of relevant literature has been conducted with a focus on Tacit Knowledge (TK) sharing. An idea of exploiting potential of TK to control NPLs has been conceived that works through refinement of decision-making processes and results in improvement of recovery and financial performance of banks. A Tacit Knowledge Sharing Model (TKSM) has been developed in this regard. TKSM is modeled on core business of banking that provides a simple way to use TK for controlling risk of likelihood of default.
Banks, credit decision, financial performance, economy, default, NPLs, TKSM
Research Foundation for Humanity (RFH)
Download PDF File | 558 Paper Views