12 research outputs found

    Good Corporate Governance in Islamic Banking during Fourth Industrial Revolution Era

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    The purpose of this study is to analyze information about implementation of Corporate Governance in Islamic banking. This study uses a quantitative approach with a systematic literature review method from various journals. With the systematic literature review method, the authors identify all empirical evidence, where the identification aims to answer questions such as "How is the implementation of Good Corporate Governance (GCG) in Indonesian Islamic banking?", "What is the role of the Shariah Supervisory Board?", "What is the impact of implementing GCG?". The results of the analysis found that the implementation of GCG in Islamic banking was quite good but still not effective. This is because the governance mechanism is still not fully in accordance with Shariah principles. Therefore, the role of DPS in the implementation of GCG is very important and must be optimized. This finding also opens information about the development of GCG in Islamic banking today so that it can be used as reference material for further research

    RELATIONSHIP BETWEEN THE DEMOGRAPHIC CHARACTERISTICS AND THE EFFECTIVENESS OF E-BANKING TRAINING COURSES BASED ON KIRKPATRICK MODEL FOR EMPLOYEES OF MASKAN BANK BRANCHES IN TEHRAN, IRAN

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    This study was carried out aimed to measure the Relationship between demographic characteristics and the effectiveness of e-banking training courses for employees of Maskan Bank Branches in Tehran province. The research method in terms of objective is considered as an applied research and information collection method is descriptive-survey. The statistical population of this research includes all employees of Maskan Bank Branches in Tehran Province who have participated in e-banking courses and have a population of about 1100 people. The statistical population of this study includes all employees of Maskan Bank Branches in Tehran Province who have participated in e-banking training courses and have a population of about 1100 people. 285 people were selected using Morgan table and by simple random sampling method. The tool measurement used was questionnaire based on the Kirkpatrick model in four levels of reaction, learning, behavior and results, which its reliability was calculated using Cronbach's alpha coefficient, 0.89 and it was confirmed. Descriptive and inferential statistical methods (one-way t-test, one-way ANOVA and Pearson correlation coefficient) were used in order to analyze the obtained data. According to the results of t-test, e-banking training courses were effective for employees of Maskan Bank Branches in Tehran province. Also, the analysis of demographic findings based on the results of the one-way between-subjects ANOVA showed that employees' attitudes at different positions, work experience or education level were not significantly different towards the factors affecting the effectiveness of e-banking training courses and none of them should be omitted from e-banking courses

    24th International Conference on Information Modelling and Knowledge Bases

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    In the last three decades information modelling and knowledge bases have become essentially important subjects not only in academic communities related to information systems and computer science but also in the business area where information technology is applied. The series of European – Japanese Conference on Information Modelling and Knowledge Bases (EJC) originally started as a co-operation initiative between Japan and Finland in 1982. The practical operations were then organised by professor Ohsuga in Japan and professors Hannu Kangassalo and Hannu Jaakkola in Finland (Nordic countries). Geographical scope has expanded to cover Europe and also other countries. Workshop characteristic - discussion, enough time for presentations and limited number of participants (50) / papers (30) - is typical for the conference. Suggested topics include, but are not limited to: 1. Conceptual modelling: Modelling and specification languages; Domain-specific conceptual modelling; Concepts, concept theories and ontologies; Conceptual modelling of large and heterogeneous systems; Conceptual modelling of spatial, temporal and biological data; Methods for developing, validating and communicating conceptual models. 2. Knowledge and information modelling and discovery: Knowledge discovery, knowledge representation and knowledge management; Advanced data mining and analysis methods; Conceptions of knowledge and information; Modelling information requirements; Intelligent information systems; Information recognition and information modelling. 3. Linguistic modelling: Models of HCI; Information delivery to users; Intelligent informal querying; Linguistic foundation of information and knowledge; Fuzzy linguistic models; Philosophical and linguistic foundations of conceptual models. 4. Cross-cultural communication and social computing: Cross-cultural support systems; Integration, evolution and migration of systems; Collaborative societies; Multicultural web-based software systems; Intercultural collaboration and support systems; Social computing, behavioral modeling and prediction. 5. Environmental modelling and engineering: Environmental information systems (architecture); Spatial, temporal and observational information systems; Large-scale environmental systems; Collaborative knowledge base systems; Agent concepts and conceptualisation; Hazard prediction, prevention and steering systems. 6. Multimedia data modelling and systems: Modelling multimedia information and knowledge; Contentbased multimedia data management; Content-based multimedia retrieval; Privacy and context enhancing technologies; Semantics and pragmatics of multimedia data; Metadata for multimedia information systems. Overall we received 56 submissions. After careful evaluation, 16 papers have been selected as long paper, 17 papers as short papers, 5 papers as position papers, and 3 papers for presentation of perspective challenges. We thank all colleagues for their support of this issue of the EJC conference, especially the program committee, the organising committee, and the programme coordination team. The long and the short papers presented in the conference are revised after the conference and published in the Series of “Frontiers in Artificial Intelligence” by IOS Press (Amsterdam). The books “Information Modelling and Knowledge Bases” are edited by the Editing Committee of the conference. We believe that the conference will be productive and fruitful in the advance of research and application of information modelling and knowledge bases. Bernhard Thalheim Hannu Jaakkola Yasushi Kiyok

    Sensitivity of Value at Risk estimation to NonNormality of returns and Market capitalization

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    This paper investigates sensitivity of the VaR models when return series of stocks and stock indices are not normally distributed. It also studies the effect of market capitalization of stocks and stock indices on their Value at risk and Conditional VaR estimation. Three different market capitalized indices S&P BSE Sensex, BSE Mid cap and BSE Small cap indices have been considered for the recession and post-recession periods. It is observed that VaR violations are increasing with decreasing market capitalization in both the periods considered. The same effect is also observed on other different market capitalized stock portfolios. Further, we study the relationship of liquidity represented by volume traded of stocks and the market risk calculated by VaR of the firms. It confirms that the decrease in liquidity increases the value at risk of the firms

    Sensitivity of Value at Risk estimation to NonNormality of returns and Market capitalization

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    This paper investigates sensitivity of the VaR models when return series of stocks and stock indices are not normally distributed. It also studies the effect of market capitalization of stocks and stock indices on their Value at risk and Conditional VaR estimation. Three different market capitalized indices S&P BSE Sensex, BSE Mid cap and BSE Small cap indices have been considered for the recession and post-recession periods. It is observed that VaR violations are increasing with decreasing market capitalization in both the periods considered. The same effect is also observed on other different market capitalized stock portfolios. Further, we study the relationship of liquidity represented by volume traded of stocks and the market risk calculated by VaR of the firms. It confirms that the decrease in liquidity increases the value at risk of the firms

    Contagion in Banking Crises: A Spatial Probit Model

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    We use a spatial Probit model to study banking crises and show that the probability of a systemic banking crisis depends on contagion and that this effect may result from business connections between institutions or from similarities between banking systems

    Murray Ledger and Times, October 2, 2004

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    Bank Restructuring: Lessons from the 1980s

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