Chandra Wijaya

Studies related to intellectual capital, particularly in banking sector, are basically focused on the relationship between intellectual capital performance and bank performance. In con¬trast to previous studies, this study analyzes the intellectual capital performance of regional development banks throughout Indonesia to develop performance through management of efficiency and productivity. The population and sample in this study consist of 26 regional development banks in Indonesia for the period 2007–2013. The management of efficiency is measured using the ratio of operating expense to operating income (BOPO), while the management of labor productivity is measured using the ratio of labor expenses to total operating expense and income level. At the theoretical level, this study is expected to fill the gap for the assessment of intellectual capital performance of banking institutions with unique characteristics such as regional development banks. To analyze intellectual capital performance, VAICTM method developed by Pulic (1998, 2000, 2004, 2008) is applied. The findings show that the intellectual capital performance of regional development banks is in the category of common performers. Finally, regional development banks need to focus on the importance of strengthening intangible resources directly affecting banking management in terms of strengthening information technology, positioning, and management competence, as well as organizational culture and working climate.

The purpose of this study is to examine the variables that determine the interest rate spreads (IRS) of conventional banks listed on the Indonesia Stock Exchange (IDX). There are four major variables that affect a bank’s interest rate spreads, namely financial bank, macroeconomics, economic freedom and market structure variables. The study participants are conventional banks listed on the Indonesia Stock Exchange from 2013 to 2017. Data was tested by using the OLS regression model. The results of this study show that all of the financial bank variables (Liquidity Risk (LR), Return to Asset Ratio (RTAR), Capital Adequacy (CA), Cost Efficiency Ratio (CER), and Risk Aversion (RA)) can significantly affect interest rate spreads. While of the macroeconomic variables, only two can significantly affect interest rate spreads, namely Gross Domestic Product (GDP) and Inflation Rate (IR). Furthermore, all of the variables of economic freedom and market structure can significantly determine interest rate spreads.

Acknowledgment
The authors thank the Research Cluster of Governance and Competitiveness, Faculty of Administrative Sciences, Universitas Indonesia, for providing financial assistance and supporting materials related to discussion, and assistance in writing this paper.

This study aims to determine whether the loan granted factor can affect peer-to-peer lending in Indonesia. The factors investigated in this research are the loan amount, loan period, interest rate, gender, and loan history using the data from registered and licensed peer-to-peer lending by the Financial Services Authority or Otoritas Jasa Keuangan (OJK) on November 2019. By examining 1,006 loans, the analytical method used is binary logistic regression with a significance level of alpha 0.05. The results of this research are loan amount, loan period, and loan history have the strongest impact on borrowers’ loan funding decision, suggesting that these loan characteristics can signal information that standard measures are used for loan funding. However, interest rate and gender have no significant effect on loan granted. Overall, loan funding decisions are based on proper and relevant signals given by loan characteristics.