نشریه پژوهش اجتماعی
پیاپی 53 (زمستان 1400)

In general, social and economic systems can be defined in terms of common sets of common expectations for each behavior. Therefore, accountability can be considered as a factor that connects the research and development system to industry. In this regard, after examining different models in the field of learning and innovation in society and research and development and accountability, a comprehensive new model that introduces important approaches in research and technology and organizational accountability including: managerial accountability, bureaucratic accountability Political and social accountability, market accountability and professional accountability have been extracted. Then, for each approach (dimension), ten components with different metrics (fifty metrics in total) are considered. In this research, acceptance of research and technology has been used as a new paradigm to make organizations more responsive to internal customers or employees. In this regard, after confirming the appropriateness and efficiency of the model by academic and gas industry experts (managers and experts), the main and secondary hypotheses in a field study using the gas industry data were tested and the results show that It is that the review of bureaucratic, economic, managerial criteria, market index, customer orientation and political, social approach and after reviewing through t-test, the coefficient of effectiveness of each of the indicators was measured and ranked. The basis of ranking, management index with a coefficient of 0.412 and bureaucracy with a coefficient of 0.571 in the acceptance status indicate that the research and development accountability model is successful and can be considered in policy and planning.

The overall purpose of this assessment is to identify the impact of social and family factors on crime in cyberspace.In the research method, according to the nature of the subject and the objectives of this research, documentary, field, descriptive and survey methods were used.The statistical population in this study includes experts and officers of cybercrime.Theories related to misbehavior and criminology have been used, and due to the small number of the statistical population in this study, the sample size of all experts and officers in the cybercrime department is 50. The counting method was used for sampling.The instrument used was a researcher-made questionnaire with a base of 0.90.The data were analyzed using regression test.The results showed that feelings of belonging to family, unfriendly friends, unemployment and poverty, and income constraints all contribute to cybercrime. A person's social participation in committing a crime in cyberspace has no effect.