جستجوی مقالات مرتبط با کلیدواژه « فناوری های قدرت » در نشریات گروه « مدیریت »

The purpose of the present study is role the power of social media storytelling and measuring Its dimensions in the development of tourism destination Qeshm Island. This study has a mixed approach and is applied in terms of purpose. The statistical population in the qualitative section is 137 stories destined for Qeshm on social media, of which 108 stories were selected by judgmental sampling; In this way, first all the stories published on sites and blogs were examined to have a specific author and date of editing, as well as sites and blogs that contained tourism stories, and then these media based on Existence of communication and access to managers and their audiences, number of visits, existence of e-trust symbol were examined, and those who did not have such features were excluded from the scope of this study and only 108 stories were selected. The research strategy is narrative analysis. The method of data collection was online written stories that were analyzed through narrative analysis and thematic analysis. The identified dimensions of power of social media storytelling were presented in a thematic network and then conceptual model of this destination. The statistical population included all tourists who had read the tourism stories of this destination on social media. The results of structural equation modeling using Smart PLS software showed that all dimensions of social media storytelling included aspects of attractiveness, literary knowledge, cognitive, emotional, comparative, economic, ethical, trust and credibility aspects, tourism influences the development of their destinations.

The present study aimed to identify the dimensions of social media storytelling power and investigate the role of social media storytelling power and evaluate its dimensions in tourism destinations. This study has a hybrid approach. The statistical population in the qualitative section consists of all the stories of tourist destinations in Ramsar and Qeshm on social media, of which 62 and 108 stories were selected for these two destinations by judgmental sampling, respectively. In addition, the research strategy is narrative analysis. The method of data collection was online written stories. The dimensions of identified social media storytelling power were provided in a network of themes and conceptual models of these two destinations. Then, the research strategy was performed as a survey in the quantitative section. The statistical population included all tourists who had read the tourism stories of these two destinations on social media. The sampling method is available non-probability sampling, and the sample size was estimated to be 450 for each destination according to Morgan's Table. The data collection method was an e-questionnaire that was sent to tourists. The results of structural equation modeling by Smart PLS software showed that the dimensions of literary knowledge, attractiveness and dynamism, cognitive, emotional, trust and credibility, tourism, ethics for Ramsar destination. And the dimensions of attractiveness and attention, literary, cognitive, emotional, comparative knowledge, Economic, moral, trust and credibility, and tourism for Qeshm destination affect the development of these destinations.

This study adopts a mixed approach: qualitative-quantitative. The statistical population in the qualitative section was all the stories of Ramsar destinations in the social media. Using judgmental sampling, 62 stories were selected. The study used a narrative analysis strategy. Data collection method was online written stories which were analyzed through narrative analysis and content analysis. Next, the identified dimensions of social media storytelling power were presented first in the form of a thematic network and then in the framework of a conceptual model for this destination. In the quantitative phase, the research strategy was conducting a survey. The statistical population here included all tourists who had read the tourism stories of this destination on the social media. Nonprobability convenience sampling method was used and the sample size, given the unlimited statistical population, was estimated to be 450 people per destination based on Morganchr('39')s table. Data collection method was electronic questionnaires sent to the tourists. The results of structural equations modeling show that all aspects of Ramsar online social media storytelling power, including literary knowledge, attractiveness, dynamism, tourism, trust, reliability, cognition, emotion, and ethics significantly affect the development of this destination.