TACIT KNOWLEDGE SHARING MODEL FOR BANKS: REMEDIAL MEASURE OF LIKELIHOOD OF DEFAULT

Authors

  • ABDUL AZIZ KHAN NIAZI Institute of Business & Management, University of Engineering and Technology, Lahore and NCBA&E, Lahore, Pakistan, Email: azizniazi@uet.edu.pk Author
  • SULEMAN AZIZ LODHI NCBA&E, Lahore, Pakistan, Email: sulemanlodhi@gmail.com Author
  • ABDUL BASIT Lahore Institute of Science and Technology, Lahore, Pakistan, Email: abasit_shahbaz@yahoo.com Author
  • TEHMINA FIAZ QAZI Institute of Business and Management, University of Engineering and Technology, Lahore, Pakistan, Email: tehmina.qazi@gmail.com Author

Keywords:

Banks, credit decision, financial performance, economy, default, NPLs, TKSM

Abstract

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.

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Published

2020-01-15

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Articles

How to Cite

NIAZI, A. A. K. ., LODHI, S. A. ., BASIT, A. ., & QAZI, T. F. . (2020). TACIT KNOWLEDGE SHARING MODEL FOR BANKS: REMEDIAL MEASURE OF LIKELIHOOD OF DEFAULT. Bulletin of Business and Economics (BBE), 9(1), 32-50. https://bbejournal.com/index.php/BBE/article/view/133

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