Purpose: Due to the great damage that Corona has inflicted on the tourism industry, neglecting the future of tourism Marketing can pose a serious challenge to this industry and economy and have irreparable consequences. The purpose of this study is to identify key factors, drivers and future scenarios of the tourism Marketing.Method: The present study is applied-developmental in terms of purpose, descriptive-analytical in nature and mixed (qualitative-quantitative) in terms of methodology. The method of this research is scenario writing using MicMac software to identify key drivers and scenarios with Wizard scenario software.Findings: First, the future trends and meta-trends of post-corona tourism Marketing were identified, of which 41 key trends and 8 meta-trends were identified. According to experts, 19 key factors in the future of tourism Marketing in post- corona were identified using the cross-impact analysis and questionnaire completion. Then, using the cross-impact analysis questionnaire and with the help of the Wizard scenario software, two groups of favorable and unfavorable scenarios were identified.Conclusion: Based on the research results, there are two favorable scenarios and two unfavorable scenarios that can help Marketing and tourism policy-makers and decision-makers to take into account the effective factors and scenarios proposed for proper planning of industry in the post-Corona era.

Nowadays, Marketing is as a key unit in any business. It isn’t covert for every one that customer is the most important assets of commercial organization, one of tools in creation of long relation with customer is; using of relationship Marketing, but in spite of severe competition between commercial organizations; this strategy isn’t sufficient. In this research, we have been examined the effect of relationship Marketing by combining of Experiential Marketing and cause Marketing on customer loyalty. The research is in descriptive study form; that it is done with survey measurement method. Statistical sample of research include 321 persons of west Azarbaijan province bank customers. For data analyzing we used artificial neural networks, multiple regression and Pearson correlation test. Multilayer neural networks have been trained by hyperbolic tangent function and they used by forward algorithm recognition model construct. Results showed that; in public and private banks; Experiential Marketing, confidence and commitment have positive and meaningful effect on customer loyalty. By results comparison it is distinguished that neural networks are accurately than statistics traditional tests and they are reliable.

Background: Public policies in the field of environment need cultural and moral support. Therefore, the purpose of this research is to investigate the relationship between ethics and the gap of public policies in the field of environment. Method: The descriptive-correlation research method is based on the structural equation model. The statistical population in this study includes all senior experts and Ph. D. s in university fields in the field of environment, whose number is 121, 456 people. The sample size was determined using Cochran's formula of 384 people and the samples were selected and studied using random sampling method. The data collection tool is a questionnaire. SmartPLS3 software and structural equation method with partial least squares approach were used for data analysis. Results: The results show that there is a positive and significant relationship between ethics and the dimensions of the gap in public policies in the field of environment (the relationship between policies and the goals of the organization, the expectations and emotions of the community, and the stakeholders' opinions). Conclusion: The results of this research and considering the important role of ethics and environmental philosophy and the basic issues of the environment, contain important results and can be used as a practical model for policy makers, managers and enforcers of ethics in the field of environmental policy.