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The aim of the research is to estimate the effect of workplace deviance behavior on organizational citizenship and job satisfaction and to put forward the mediator role of the organizational support perception in possible relations. The information based on hypothetical and literature are provided in the research principally and then the research part including the questionnaire applied to the employees of Kirsehir Municipality is presented. The validity and reliability tests have been performed successfully and the artificial neural network method has been used as the analysis method. In parallel with the averages and correlation values of the variables in the analysis the Artificial Neural Networks have been modelled by determining the inputs and outputs. In accordance with the findings obtained the workplace deviance behavior has a negative impact on the organizational citizenship and job satisfaction and the organizational support perception can take the mediator role as a relative for eliminating the abovementioned effect. When the artificial neural networks’ being used as the analysis method and the difficulties in measuring the workplace deviance behavior are taken into consideration it can be stated that the findings obtained have at a certain level of originality in terms of management discipline.

An individual’s attitude toward financial risk tolerance (FRT) is an important preference that influences financial decision-making under uncertainty. FRT involves inter-temporal resource allocation. Accurate and reliable measures of FRT are essential for professionals advising consumers as well as researchers who are trying to predict, and understand consumer behavior. This study explores cross-cultural risk tolerance by comparing random samples from Turkey, and the United States. Similar and distinctive attitudes and patterns regarding FRT are identified. Three subjective measures of FRT are employed in this study: Grable and Lytton (1999), Hanna, Gutter and Fan’s (2001) improved version of Barsky, Juster, Kimball and Shapiro (1997), and the Survey of Consumer Finance’s item on risk tolerance. Data was collected via an online survey that used the above-mentioned FRT measures. There were two versions: the original American English version, and a culturally translated Turkish version. To explore the correlation of FRT among measures, we use bivariate analysis by individually employing Pearson Chi-square test of independence, and cross tabulations analysis to each sample. In addition, by pooling both samples, we conduct cumulative logistic regression. We delineate FRT differences and consistencies between countries across subjective financial risk tolerance measures.

Many U.S. banks failed or performed poorly during the recent financial crisis.  Although the costliest failures were large institutions, the majority of failures were community banks (less than $1 billion in total assets).  Community banks, which are considered instrumental in small business lending and employment growth, face different risks and challenges than their larger counterparts, including a lack of economies of scale and scope and exclusion from “too-big-to-fail” status.  These challenges, coupled with the recent failures, motivate research into potential strategies managers can use to improve performance.  This study examined the relationship between three potential diversification strategies and community bank risk-adjusted performance from 2007 to 2011.  Understanding these relationships could improve management’s decision-making, allowing them to choose risk-mitigating strategies during a severe economic downturn.  Herfindahl-Hirschman Indexes (HHIs) were calculated as proxies for geographic, activity, and asset diversification.  Multiple regression models for each of the five years were used to calculate the impact of diversification variables on risk-adjusted ROA.  The results show that diversification in all areas is directly related to performance; however, only the asset diversification relationship is significant.  To the extent possible for community banks, diversification may improve risk-adjusted performance.

Many U.S. banks failed or performed poorly during the recent financial crisis.  Although the costliest failures were large institutions, the majority of failures were community banks (less than $1 billion in total assets).  Community banks, which are considered instrumental in small business lending and employment growth, face different risks and challenges than their larger counterparts, including a lack of economies of scale and scope and exclusion from “too-big-to-fail” status.  These challenges, coupled with the recent failures, motivate research into potential strategies managers can use to improve performance.  This study examined the relationship between three potential diversification strategies and community bank risk-adjusted performance from 2007 to 2011.  Understanding these relationships could improve management’s decision-making, allowing them to choose risk-mitigating strategies during a severe economic downturn.  Herfindahl-Hirschman Indexes (HHIs) were calculated as proxies for geographic, activity, and asset diversification.  Multiple regression models for each of the five years were used to calculate the impact of diversification variables on risk-adjusted ROA.  The results show that diversification in all areas is directly related to performance; however, only the asset diversification relationship is significant.  To the extent possible for community banks, diversification may improve risk-adjusted performance.

The aim of the research is to estimate the effect of workplace deviance behavior on organizational citizenship and job satisfaction and to put forward the mediator role of the organizational support perception in possible relations. The information based on hypothetical and literature are provided in the research principally and then the research part including the questionnaire applied to the employees of Kirsehir Municipality is presented. The validity and reliability tests have been performed successfully and the artificial neural network method has been used as the analysis method. In parallel with the averages and correlation values of the variables in the analysis the Artificial Neural Networks have been modelled by determining the inputs and outputs. In accordance with the findings obtained the workplace deviance behavior has a negative impact on the organizational citizenship and job satisfaction and the organizational support perception can take the mediator role as a relative for eliminating the abovementioned effect. When the artificial neural networks’ being used as the analysis method and the difficulties in measuring the workplace deviance behavior are taken into consideration it can be stated that the findings obtained have at a certain level of originality in terms of management discipline.

An individual’s attitude toward financial risk tolerance (FRT) is an important preference that influences financial decision-making under uncertainty. FRT involves inter-temporal resource allocation. Accurate and reliable measures of FRT are essential for professionals advising consumers as well as researchers who are trying to predict, and understand consumer behavior. This study explores cross-cultural risk tolerance by comparing random samples from Turkey, and the United States. Similar and distinctive attitudes and patterns regarding FRT are identified. Three subjective measures of FRT are employed in this study: Grable and Lytton (1999), Hanna, Gutter and Fan’s (2001) improved version of Barsky, Juster, Kimball and Shapiro (1997), and the Survey of Consumer Finance’s item on risk tolerance. Data was collected via an online survey that used the above-mentioned FRT measures. There were two versions: the original American English version, and a culturally translated Turkish version. To explore the correlation of FRT among measures, we use bivariate analysis by individually employing Pearson Chi-square test of independence, and cross tabulations analysis to each sample. In addition, by pooling both samples, we conduct cumulative logistic regression. We delineate FRT differences and consistencies between countries across subjective financial risk tolerance measures.