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In modern age, positive psychological capital is as important as financial capital for organizational development and sustainability. Efficacy, hope, optimism, and resilience are the dimensions of positive psychological capital. Emotional labor is defined by Hochschild as control of self emotions at work by workers who have a high degree of contact with coworkers within the organization or with external clients, so as to create an expression, voice or body gesture which is acceptible to the clients. Emotional labor is analysized under three components: surface acting, deep acting and naturally felt emotions. This study is aimed to investigate the impact of positive psychological capital on emotional labor. So a research is conducted with the aim of exploring the relationship between the sub-dimensions of psychological capital and emotional labour.

The aim of this study is to investigate the relationship between teamwork and organizational trust. In the implementation section the data from the survey of 250 workers is employed in call centers in Erzurum by using relevant statistical methods. Consequently, it is found that there is a positive and significant relationship between teamwork and organizational trust. Thus, the hypothesis of the study is supported as it was expected. Besides, it is found that there are positive and significant relationships between communication, openness to innovation, participation-trust in teamwork and organizational trust, trust in management, trust in co-workers, and trust in workplace.

The study attempts to ascertain the determinants of nonperforming loans in National Bank of Commerce. Data was collected from 152 respondents. Tables, percentages, mean and standard deviation were used to analyze data. Data collection methods adopted for the study were interview, questionnaire and documentary evidence. Interest rate, GDP, concentration of lending activities, bank’s loan supervision capacity and economic condition were investigated, and the results suggest that interest rate, GDP, bank’s loan supervision capacity and economic condition influence the level of NPLs. However, the results did not suggest that concentration of lending activities increase the level of NPLs.   The study suggests that banks should put in place a vibrant credit process that ensures proper customer selection and risk identification, robust credit analysis, proactive monitoring and clear recovery strategies for bad loans, formulate clear policy framework that addresses issues of ethical standards and check and balance credit process, organizational capacity enhancement of banks, deliberate effort to develop credit culture for managing loans ,and ensure prudent policies that govern bank loans. Since the results for this study were encouraging, the researcher encourages replicating the study for other lending institutions. In order to extend the literature on non-performing loans, the researcher suggested incorporating models of Golem effect, Social loafing, Inverted pyramid effect, Pollyanna effect and High default culture effect.  Also, basing on the merits of the study, the researcher suggests determining relationship between non-performing loans and loan size, collateral, credit culture, and credit management information system.

The positive of impact of market orientation toward business performance of a company is a common wisdom in the marketing literatures. Hence the prior studies recommend that the connection will depend on other strategic actions. In this regards, this study tries to assess the construct of business ethics as the precedent of market orientation in the context of Indonesia Islamic banks. Upon assessing data using SmartPLS, this study finds that market orientation is the determinant of business performance and Islamic business ethics is the precedent of market orientation. However, market orientation is not effective as the mediator in the relationship between Islamic business ethics and business performance. The discussion of this finding is provided as well as the managerial implication at the end of this paper.

A well-functioning financial institution will sustain a countries economic development and play a great role in reduction of poverty. One of the major participants in the financial institution is the banking industry.  However, the mal-functioning of the banking system can be extremely costly to the real economy. As Bank is one of the participants and major key player in the financial institutions, it needs a continuous assessment by its supervisory and management. Mere ratio analyses are commonly used Performance measurement among the banking industry in Ethiopia. Nonetheless, these financial ratios are more of traditional as well as partial measurements. As such this study conducted using CAMEL framework set by bank for international settlement. The study takes secondary data which are gathered from audited annual reports of all banks. The result shows CAMEL framework is the best fit measurement for Ethiopian Banks and it give a comprehensive result which is very helpful for the governor to set a well determined policy and procedure.

In this paper, we examine the impact of CEO power on auditor choice. We are motivated by the competing financial reporting incentives arising from CEO power. Our empirical finding suggests that powerful CEOs are more likely to hire high-quality auditors as a signal of superior financial reporting quality. We contribute to the literature of auditor switch and extend the research on the links between CEO power and firm behaviors.

The Chinese stock market is an emerging market that has gained much importance over the past few decades. Because of this, it also serves as a great subject for studying market inefficiencies and anomalies. In this paper we provide a review of evidence regarding the development, efficiency and integration of the Chinese stock market. In particular, we review recent literature in the areas of market segmentation, cross-listings and calendar effects. This provides evidence of market inefficiency in China. We also pose questions that can be answered in future studies.

A well-functioning financial institution will sustain a countries economic development and play a great role in reduction of poverty. One of the major participants in the financial institution is the banking industry.  However, the mal-functioning of the banking system can be extremely costly to the real economy. As Bank is one of the participants and major key player in the financial institutions, it needs a continuous assessment by its supervisory and management. Mere ratio analyses are commonly used Performance measurement among the banking industry in Ethiopia. Nonetheless, these financial ratios are more of traditional as well as partial measurements. As such this study conducted using CAMEL framework set by bank for international settlement. The study takes secondary data which are gathered from audited annual reports of all banks. The result shows CAMEL framework is the best fit measurement for Ethiopian Banks and it give a comprehensive result which is very helpful for the governor to set a well determined policy and procedure.

This paper aims to identify the determinants of performance of the Tunisian banking sector. The results found, following an empirical study using panel data of Tunisian banks listed on the stock market over the period 2000-2013, show that credit risk, liquidity, total assets and disclosure of information relating to credit are the main determinants of banking performance

In a data set, an outlier refers to a data point that is considerably different from the others. Detecting outliers provides useful application-specific insights and leads to choosing right prediction models. Outlier detection (also known as anomaly detection or novelty detection) has been studied in statistics and machine learning for a long time. It is an essential preprocessing step of data mining process. In this study, outlier detection step in the data mining process is applied for identifying the top 20 outlier firms. Three outlier detection algorithms are utilized using fundamental analysis variables of firms listed in Borsa Istanbul for the 2011-2014 period. The results of each algorithm are presented and compared. Findings show that 15 different firms are identified by three different outlier detection methods. KCHOL and SAHOL have the greatest number of appearances with 12 observations among these firms. By investigating the results, it is concluded that each of three algorithms makes different outlier firm lists due to differences in their approaches for outlier detection.