درخت حوزه‌های تخصصی

The purpose of this research is to Developing a dynamic model for the impact of Servicescape on customer experience in the hotel industry. The present study is a mixed research method. In the qualitative part, the strategy is qualitative content analysis and in the quantitative part, it is applied in terms of purpose and descriptive-survey in terms of research method. To gather information in the qualitative section a collection of articles, books and thesis has been used systematically and in the quantitative part, a standard questionnaire was used to collect information. 700 loyal customers of five-star hotels in Northwest of Iran were selected for the study. A clustered sampling method was used to select statistical sample. In qualitative part, To analyze the data of this research, special content analysis processes including open coding,, axial coding were used to emerge concepts and categories. In the quantitative part, the research hypotheses were tested using structural equation modeling technique. The results of the research showed that the substantive staging and communicative staging have a positive impact on the customer experience and the effect of communicative staging on customer experience at different stages of the relationship life cycle is different.

Online social media is an important innovation that has attracted individuals and companies. The purpose of this study is to "develop an online social media marketing model about consumer buying behavior". This utilizes a mixed-method (qualitative and quantitative). This study uses the research literature to extract the indicators, then, finalizes them by the Delphi technique in three different rounds. The study develops the qualitative model of the research based on the opinions of 20 experts as well as the application of Interpretive Structural Modelling (ISM) and MICMAC analysis. In the quantitative part, the study uses the Partial Least Squares (PLS) technique to implement SEM, validate, and test the predictive relevance of the initial model. This study applies Cohen's formula and determines 460 individuals as sample. The sampling method is non-probability. Furthermore, the statistical population of the study consists of online social media users from all over Iran. In this study, 9 key factors have been identified, modeled and analyzed. According to the MICMAC analysis results, perceived security (with the highest driving power) is identified as the driving indicator, and value co-creation (with the highest dependence) is identified as the result or target indicator. The ISM based model is validated using SEM and 15 hypotheses were checked using SEM-PLS technique, also all hypotheses except the second hypothesis were confirmed. Finally The findings confirmed Goodness of Fitness and ideal predictive relevance of the model.