نشریه مطالعات حفاظت و امنیت انتظامی
سال چهاردهم شماره 1 (پیاپی 50، بهار 1398)

Adequacy and organizational health are among the most important components for promoting accountability. The goals and objectives of each organization are considered seriously; in order to maintain, and enhance the organizational health of its staff and to prevent the occurrence of threats and vulnerabilities the mission of the Special Unit should be taken into account. Probably, the establishment of a culture of meritocratic protection is necessary. The present study was conducted to find out the role of conservative meritocracy in the organizational health of the staff of the special units based in Tehran with emphasis on the processes.

This research is an applied and descriptive survey in nature. The statistical population of the research is the total staff of special units based in Tehran with 6450 people in 2017. The sample size is 364 according to the Morgan sample size chart. The probabilistic multi-stage sampling method was used; the data gathering tool, the researcher-made questionnaire on meritocracy, its credibility or its validity, was confirmed by experts, and its reliability was determined by Cronbach's alpha of 96%; then it was performed on the sample group and based on Statistical test t-test and ranking test Friedman has been analyzed, as well as structural equation modeling was used to complete the work and preparation.
Findings and

The research showed that the four dimensions of protective meritocracy in the organizational health of the staff of special units based in Tehran have a significant and positive effect; among these dimensions, the dimension of protection is the most important. The results of the research indicate that the protection of meritocracy will increase the organizational health of the staff of the special unit and achievement of organizational goals in this platform will be possible with a lower percentage of errors; therefore, special unit managers should apply protective measures in meritocracy to improve the organizational health of the staff and prevent threats and potential vulnerabilities.

Burnout phenomenon is one of the challenges faced by most of today's organizations. Considering the affecting factors, it can be the reason for many human resource management problems. Emotional intelligence and self-efficacy are among the factors that can be helpful in determining their relationship with burnout. The purpose of this study was to investigate the relationship between emotional intelligence and burnout due to the role of self-efficacy mediator in police officers of Golestan province.

The research method is descriptive survey. The statistical population of the study consisted of 400 employees of Golestan Provincial Police Headquarters. 196 people were selected by random sampling method. A standard questionnaire has been used for data collection. Its validity has been calculated through the experts and its reliability has been calculated by Cronbach's alpha. To analyze the data, Structural Equation Method was used with AMOS software.
Findings and

The results of the research show that there is a significant relationship between emotional intelligence and burnout. Also, there was a significant relationship between self-efficacy and burnout, but the relationship between emotional intelligence and self-efficacy was not significant at the error level of 0.05, so the self-efficacy variable cannot play a role in mediating the relationship between emotional intelligence and burnout. In the end, the applied results are based on the results of the research.

The spread of network crimes has increased the amount of data recorded from our criminal offenses and organizational burdens with a large amount of data. Each of these data contains a lot of messages and information. If these data are properly analyzed, they can help supervisors to identify and track, as well as anticipate and prevent crimes and offenses.

In this study, by analyzing and analyzing the relationships in the networks and crime variables based on the Fata police database of the country, various networks were created considering the variables considered in the network analysis. Also, by analyzing the relationship that occurred in each network from the point of view in the field of social network analysis, in each network, high-potential nodes were selected and the offenders identified as highly likely to commit a crime, as well as prediction of possible communications. In general, we can say that our research and analysis method is based on the behavior of a cast of a network that acts as an element and member of the network. It is worth mentioning that in the present study simulations and analyzes of soft The NodeXL (Excel Node) and utilities have been used.

In order to identify and predict crimes, the nodes with high specificity were ranked. These nodes have a high coefficient of selection as offenders in a crime after a crime with the same incident. Also, according to the centrality of proximity index, it can be said that the ranking of a node in this index is high. So this node is likely to commit a crime again. This finding could help policing agencies monitor the activities of a node, or the same offender

The research is based on the increasing spread of disruptions to Web services, known as "denial-of-service", and the need for police investigation of crime. In accordance with paragraph 9 of the Iranian Cyber ​​Crime Act, any measure that disrupts or interrupts the operation of computer and telecommunication systems is an example of cybercrime, and it is necessary for judicial remedies, by documenting and analyzing evidence, to justify the offense to the reference Judiciary. The purpose of the research is to find out the optimal methods of collecting, analyzing, reviewing and ultimately discovering the evidence of crime leading to disturbing web activities (denial of service attacks).

The study of library documents and studies of other researches, attempts to identify the methods used and provide an optimal method. For this purpose, after creating artificial traffic on a website (website) in the laboratory environment, different methods of classification in the field of machine learning were evaluated. Ultimately, due to the quality and accuracy of the various algorithms, the combination of the Bayesian and entropy algorithm was selected.
Findings and

In this research, the proposed model was compared to the standard data set (EPA-HTTP); its implementation and its results were compared with other methods, which indicates better performance.

Nowadays, scenario analysis as a tool for research in the future has a distinct perspective in organizations, and it focuses on the different issues of the world in the world, and helps in the process of decision-making on different levels of management. This will be essential for the future development of knowledge, education, sharing, development, use and management of knowledge for the realization of the goals of intelligence organizations. The purpose of this study was to investigate the role of knowledge management on futures studies with an emphasis on scenarios. .

The present research is based on the goal of the study, applied and according to the methodology is descriptive-survey. The sampling method is a simple random data collection. It uses questionnaire and a reference to the documentary. The statistical population in this study is 70 managers of senior departments and senior managers of information organizations. Due to the limited number of experts in the field, the sample size of all counts is considered. The tool for measuring the variables of the research is a questionnaire. The reliability of the questions was based on Cronbach's alpha, 0.81 for knowledge management, and 0.92 for scenario planning. In order to determine the validity of the questions, standard questionnaires such as Sheroon and Lawson (Knowledge Management) and the researcher have been used, as well as the experts have been used. In order to examine the collected data, descriptive and inferential methods have been used.
Findings and

The results of this study indicate a meaningful relationship between the majority of knowledge management components on the components of future studies including knowledge generation, taking into account the correlation intensity of 0.757 and beta 0.608 at the highest level, then save knowledge with a correlation intensity of 0.717and beta 0.308aat the next level, using Pearson Multivariate Regression tests to determine the relationship and impact of knowledge management on futures studies.

 current research is investigating Social Capital Influence on Islamic Republic Soft security with Intermediate function of Religious Identity.

This research is survey-descriptive which is performed by field method. The Research Statistical population is Mazandaran state people, aged between 15 to 64 years old. Statistical sample is performed by random stratified Sampling method and through cluster division in west, east and central territories, in which 385 people were chosen by Cochran formula as sample. Used tools are standard questionnaire for social capital with 20 items and 2 self-made questionnaires for Religious Identity with 19 items and soft security with 18 items. Research stability has been studied by cronbach’s alpha method and validity studied by face and content validity. Data was analyzed by descriptive statistical methods, factor analysis technique and structural equations.

results shows that the path coefficient between social capital and religious identity is 0.61, between social capital and soft security 0.83 and also between religious identity and soft security is 0.52 which indicates effective variable high influence on dependent variables.

soft security as a multi-sect oral category requires recognition of effective dimensions and functions on it, so as a result the country should recognize effective components on soft security for improvement and act for social capitals development and at the same time use country capacities for development of community member's religious identity.