In this study, new variants of genetic programming (GP), namely gene expression programming (GEP) and multi-expression programming (MEP), are utilized to build models for bankruptcy prediction. Generalized relationships are obtained to classify samples of 136 bankrupt and non-bankrupt Iranian corporations based on their financial ratios. An important contribution of this paper is to identify the effective predictive financial ratios on the basis of an extensive bankruptcy prediction literature review and upon a sequential feature selection analysis. The predictive performance of the GEP and MEP forecasting methods is compared with the performance of traditional statistical methods and a generalized regression neural network. The proposed GEP and MEP models are effectively capable of classifying bankrupt and non-bankrupt firms and outperform the models developed using other methods.
Background and Objectives: Studies in various fields of healthcare seeks to gain the trust of citizens by providing more favorable services. Despite the generality of this view, Bureauphobia as a new attitude in the field of behavior, questioned these studies. The current study aims to identify the components of bureauphobia in in people referred to public hospitals in Qom, Iran. Methods: This is a qualitative study using thematic analysis. The study population consists of all people referred to public Hospitals in Qom province. Of these, 190 were selected and interviewed. The interview transcribes were analyzed in three stages: descriptive coding, interpretive coding, and identifying main themes. Results: The analysis led to the formation of 131 descriptive codes, 50 interpretive codes and 10 main themes. The results showed that direct experiences, personality, role/ example, the political system governing public bureaucracy, social capital, malfunction of the bureaucracy, intrinsic features of the public sector, moneyism, moral values, and social justice were the components of bureauphobia. Conclusion: People with bureauphobia have a pessimistic view. Satisfaction with the services provided by public hospitals does not necessarily lead to trust in these centers. Some people are constantly exposed to negative opinions about public hospitals; hence, their attitudes towards public hospitals are negative and biased.
Impact on management, organization and technology in the failure or success of information systems in organizations and institutions is one of the issues that information systems and information technology researchers constantly have to review it. Unfortunately, in Iran has been done yet a research for recognizing the identity of a computer system and efficiency of scientific research. Knowledge of the reasons for the failure of a computerized information system, cause to awareness and care managers and design team and will focus on potential
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