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This research aims to study the impact of reverse logistics capabilities on firm performance with mediating role of business strategy. This is a survey type and applied form research. Also, this research entity is descriptive-correlation, based on data collection method. Current research sample includes all 310 top and inter-mediate and operational managers of Shiraz Dena Tire Company. In this research, Cochran model was used to compute required sample (95% meaningfulness level). Thus, for such a sample, this research needs 171 participants. The research materials include research-made questionnaire. Results showed that logistic data management (closed loop capability, integration capability, cooperation capability, institutional incentive and conformity capability) has meaningful impact on organizational performance.

The purpose of this study, is create a challenge and discussion concerning the existence of information about the Bitcoin price and return, which suggests the relationship of information and the strong performance it. The information trends are available at different time periods and the summary data related to the statistical descriptions for the price and return index are also discussed. In this paper we show a significant correlation between the price trend and return in the Bitcoin that has been confirmed by various statistical methodology. Using statistical tests and reviewing trends and relationships between the variables, planning can be done to invest in it and its performance or inefficiency can be tested. The results of this research shows a significant and positive relationship between the price and return of Bitcoin.

The present study is an applied developmental study and from the point of view of data collection is a qualitative one. The strategy applied in this study is the grounded theory as a systematic and qualitative approach toward creating a hypothesis. The main aim the present study follows is to design a model for the pathology of running public policies in Iran. The data was collected through face to face, profound 60 to 90 minute interviews with 20 of prominent policy makers, executives and professors asking questions on challenges of running public policies. Sampling was conducted theoretically. Initially, a set of basic concepts were recollected via coding process and categories were extracted from them. Later, in axial coding stage, the relationship between these categories was determined through coding paradigm. Then, in the selective coding stage, each part of the model was explained. The advantage of this study over other works of research conducted on the pathology of running public policies is presenting a comprehensive and practical model attempting to consider all parameters affecting an unsuccessful public policy. The present study tries to demonstrate a holistic view and identify the challenges in public policy environment, challenges of the policy in public environment, and challenges of running a public policy ending in the failure of a public policy in order to elaborate on the outcomes of a failed policy.

For apply government Tissues need for a budget schedules. To make use money and financial policy and use of rate sociality resource. This research for evaluation the resource of budget in an inflation among (2001- 2004) years in Islamic republic of Iran use. Identify of weakness and sing difficulty’s, use, budget control, change the wages to estimate the cost and wages, wages use of resource from change the rational of inflation rate. Financial resource create budge income three section increasing wages, decreasing cost during period (2001- 2004) years from spent expert oil material and non-oil material inspection increasing wages very infection for inflation rate. Give external’s money for reason a few and internal money for reason non Deposit of Bank system, customs wages and pay toll’s for reason facilitate in expert and present expert communication’s few infect in inflation rate. This research include eight Divert Hypothesis in from three major Hypothesis. For agreement or Disagreement research Hypothesis for description effect themes make request research and use Likert scale deduction for consider productivity. Review and created information in way library and information to complete and loyal results use and reason of make math the inflation rate Discussing. Infernality introduction of research in internal and external Iran determine to deduction.

Negative relation between unemployment and inflation is known as the Philips model, which states, when inflation is high, unemployment gently decries and when unemployment is low, salaries will increase rapidly. While economic planners of the country tend to impart this situation highly, it would fall down, because frequent increase of inflation with the hope of keeping unemployment low permanently, ultimately will cause rise in expected inflation of organizations and lead to change in their recruitment decisions. In a section of this model, it has also analyzed, relation between income, investment, and consumption. Regular Philips model with derivative deals with first and second level of calculations, however this model has faced many weaknesses and deficiencies in economic cycle of Iran. Regarding its implementation in the economy of Iran, in this research, through substitution of Caputo fractional-order derivatives, we reach out “Philips model of Fractional-order”. Moreover, by numerical calculation of resulted equations and using Maple software, we over reach to Philips curve of Fractional-order in multiple various orders. According to achieved results, this model highly depends on derivation orders and different outcomes will be acquired through various derivation orders. Acquired model in the economy of Iran (situational format in Sugar and Sugar cube Industries) has been studied through phasic technic which proves meaningfulness of relations between variables of the model.

One of the major challenges faced by major firms is the risk of financial instability and ultimately financial bankruptcy. Hence, the main objective of this paper is to predict bankruptcy based on real Earning management models and the accrual Earning management of companies admitted to the Tehran Stock Exchange. The research method is descriptive-applied and is a correlation study. The time domain of research was between 1382 and 1395, with a sample of 110 companies (65 bankrupt and 65 non-bankrupt companies) selected from the list of companies admitted to the Tehran Stock Exchange. Logistic regression model was used to test the research hypotheses. In general, the findings of the research hypothesis test show that the predictive power of bankruptcy models based on real profit management models and accruals management of companies accepted in Tehran Stock Exchange is significant. Therefore, it can be stated that the amount of real earning management and accrual earnings management affect the bankruptcy of the investigated companies.