سینا نعمتی زاده

Purpose: Brand development in tourism of natural places can play a vital and effective role in attracting tourists. Therefore, the aim of this study was to investigate a structural equation modeling of brand development in tourism of natural places. Methodology: This study was applied in terms of its objective and quantitative in its approach. The research population consisted of employees of organizations and cultural heritage institutions in Tehran city (1,200 individuals). The sample size was determined as 384 individuals using the Krejcie and Morgan table, and they were selected through multi-stage cluster sampling. The research instrument was a researcher-made questionnaire on brand development in tourism of natural places with 23 items, whose content validity was confirmed by 20 experts, and its reliability was calculated using Cronbach's alpha as 0.82. Data were analyzed using exploratory factor analysis and structural equation modeling in software such as SPSS and LISREL. Findings: Seven factors were identified: place value, communications and information, tourist facilities and services, physical factor, awareness of the tourism destination brand, attachment to the place, and contextual conditions. All of them had factor loadings exceeding 0.60, the extracted variances were all over 0.70, and the Cronbach's alpha for all of them was higher than 0.80. Furthermore, the model of brand development in tourism of natural places had a good fit, and brand development in tourism of natural places had a positive and significant impact on all seven mentioned factors (p < 0.05). Conclusion: Based on the results of this study, to attract tourists, conditions can be provided for the realization of place value, communications and information, tourist facilities and services, physical factor, awareness of the tourism destination brand, attachment to the place, and contextual conditions.

Purpose: The aim of the present research is to identify the factors influencing the acceptance of mobile marketing activities by customers using a meta-synthesis approach.Method: The research was conducted with an exploratory and qualitative approach. Using a systematic and meta-synthesis review approach, the researcher analyzed the results and findings of previous researchers and identified the influencing factors on the adoption of mobile marketing by performing the 7 steps of the Sandelowski and Barroso method. In this context, in order to measure reliability and quality control, the Kappa method was used, and its value was identified for the identified indicators at the level of excellent agreement.Findings: The results of the implementation of meta-synthesis steps in Maxqda10 software showed that the factors influencing the acceptance of mobile marketing activities by customers based on the meta-synthesis approach include two general dimensions  individual  and environmental ones, and these two dimensions include 6 components in total. and there are 33 indicators. Based on these results, the individual dimension includes the components of perceptual factors, personal habits and characteristics, emotional and belief factors, and cognitive factors, and the environmental dimension includes the components of technical factors and social factors. The research results show that marketing is a dynamic field that changes over time. Understanding the effective components at any point in time can increase marketing effectiveness. Mobile marketing combined with traditional and virtual methods has become the most powerful tool even for traditional sellers.conclusion: It can be concluded that proper implementation and digital marketing can help sellers in increasing customer reach and brand awareness

The purpose of this study is to design and explain the model of online advertising with an image-based marketing approach. In this regard, while reviewing the concepts of online advertising, image-based marketing (GIF marketing) and tourism using confirmatory factor analysis and structural equation modeling, we designed and explained the online advertising model with the gif marketing approach in oil and gas’s Industrial tourism hubs of Iran. The research strategy includes a combined qualitative study of content analysis, granded theory and delphi analysis and quantitative study in survey. The study population in the qualitative part includes experts in the field of advertising focusing on the tourism industry and in the quantitative part all tourists are in the oil and gas’s Industrial tourism hubs of Iran. Normal test and confirmatory factor analysis and structural equation modeling test were used to confirm the components and model. The results showed that the components (causal factors, contexts and outputs) of online advertising model with GIF marketing approach in oil and gas’s Industrial tourism hubs are in order of priority. In order to conduct open interviews and coding, 62 indicators were finally extracted. The results of model validation and model overall fit index (GOF), which has a value of 0.794, showed that the overall fit of the model is desirable and as a result, the overall model is valid and approved. Also, in Q2 index, positive numbers showed more than 0.35, which showed the high predictive power of the model.