درخت حوزه‌های تخصصی

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with the help of the backward elimination and forward selection method for modeling. After analyzing and evaluating the variables in Eviews software, the four variables of debt ratio (CL. E), size (SIZE), net profit to sales ratio (NETP. S), and interest rate coverage ratio (ICR) are selected in the backward elimination method. In the forward selection method, in addition to the above variables, operating profit margin (OPM) is also chosen. The estimated model of these variables in both methods shows a low ratio of R2 coefficient that is approximately 7%. In the test case, the model of forward selection method has less error in all four criteria of root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and Tile coefficient (TIC) compared to the backward elimination method.

Nowadays, the generated and shared content on tourist perceptions in social media is considered a fresh and far-reaching way to introduce the concept of the destination image. Destination decision-makers attempt to use this content to provide a deep understanding of tourism supply and demand. Marketers have to be particular about it when defining a proper destination image. In this regard, many researchers have emphasized the importance of using social media to tap into tourists’ perceptions of destination because it not only helps to deepen the administrators’ understanding of the demands of this type of tourism and to propose new approaches to determine the customers’ preferences in destination marketing but also directs new products and services to satisfy the tourists to a greater extent. Depending on the type of tourism, the contexts and criteria for this kind of virtual investigation are different. For example, in cultural destinations, tourists’ perceptions of tangible and intangible cultural heritage and services and products offered in virtual contexts are regarded as a tool to assess the tourists’ perceptions of that destination. The present study assumes that a holistic approach toward the analysis of tourist perception in the virtual sphere could be a well-qualified alternative to determine tourists’ wants in cultural destinations. Content analysis, which is a practical method in analyzing visual and textual data and  therefore is quite pertinent to the analysis of tourist perceptions, was adopted as the data analysis instrument in this study. To collect the data, two frequently-visited and widely-used websites with easy access to tourists’ comments, namely TripAdvisor and Flickr , were selected so that tourists’ experiences and perceptions could be gathered more authentically and conveniently. The findings demonstrated that the analysis of perceived authenticity of cultural destinations in Iran could provide the content required to create a destination image for purposeful marketing in Iran. Perceived Authenticity was categorized into three main themes: emotional, sensational, and rational.