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In Malaysia, the growth of the Islamic financial industry has increased tremendously in line with the Government's ambition to make Malaysia as an international hub for Islamic finance since 2010. With the increasing number of foreign players in this industry plus with the increasing demand from domestic and foreign customers would further enhance the possibility for Malaysia to achieve this ambition. Currently, according to the Economic Transformation Programme, 2012 Malaysia is the world's third largest market for Shariah assets that cover Islamic banks, Takaful, and sukuk. Malaysia as one of the main contributors to the global Islamic financial assets with Islamic assets in Malaysia grew by 23.8% in 2011 from RM350.8bil to RM434.6bil. The issues of predicting the performance and the survival of Islamic Banks in Malaysia become amongst crucial issues in academic research. By employing multi -layer perceptron neural network and pooled regression, we found that total assets/ size of the Islamic banks (GROWTH) have high weightage and significantly influence in predicting the performance and the survival of Islamic banks in Malaysia. With the increasing number of Islamic banking institutions in Malaysia, this study can give insight on the sustainability of the Islamic banking system in Malaysia for the benefit of the investors, shareholder and depositors.

The purpose of this paper is to propose and validate the combined model for bankruptcy prediction for the Malaysian firms. This combined model is adopted from previous studies by combining Ohlson logit model, Springate-Canadian model and macroeconomic factors. The proposed combined model is developed by using the financial and macroeconomic constructs. The result indicates that logistic regression performs well and it is used to validate the model. Our results also show that, the capacity of the proposed model to predict correctly is 100% for both samples (distress and non-distress firms). Finally, the results of this study could also be applicable to business and investor's decision making contexts other than the bankruptcy prediction model.

This study examines the impact of corporate governance and corporate reputation on firm performance and corporate social responsibility disclosure. For this purpose, we use a moderating-mediation approach, utilizing data from 4255 observations across 732 enterprises from 2009 to 2021. The research findings reveal that corporate social responsibility disclosure significantly influences corporate reputation, particularly in enhancing business performance. The findings also demonstrate a moderate association between corporate governance, corporate social responsibility, and corporate reputation. Moreover, the investigation highlights the critical role of corporate reputation, ownership concentration, and CEO integrity in promoting corporate social responsibility disclosure and improving business performance. Finally, the paper discusses the practical and theoretical contributions of the research.

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