درخت حوزه‌های تخصصی

Penetration of smartphones and increasing use of social media on always-on devices has attracted the attention of enterprises and organizations to benefit from such platforms for better understanding of customers’ needs and more effectively communicate with potential consumers. For this purpose, the present study investigates the impact of social media adoption and media needs on online purchasing behavior. This study has also examined the moderating role of media type, gender and age in the relationship between variables of social media adoption and online purchasing behavior. A total of 410 questionnaires were collected on social media such as Instagram, Telegram and WhatsApp. SEM technique using PLS used as the analytical method to empirically test the proposed hypotheses. Results show that the effects of tension dimension on online purchasing behavior is mediated by social media adoption. Moreover, the effects of social media adoption on online purchasing behavior are moderated by age and medium type based on Multi-Group Analysis. The IPMA matrix shows that social media adoption had the highest importance, but the lowest performance. This study is significant in terms of innovation due to the use of new indicators effective in the area of statistical analyses. The use of FIMIX, CTA, permutation test, MGA, and IPMA matrix analyses is part of it.

The purpose of the present study is to present a model for the use of the Internet of Things in Iranian knowledge-based companies. From a purpose point of view, this research can be classified as applied research and in terms of data collection, it can be categorized as a qualitative and quantitative study. The main approach for achieving the model of using the Internet of Things is the grounded theory methodology which is based on a paradigmatic model. The research population for the qualitative phase is comprised of 25 executives and practitioners of knowledge-based companies who are somehow specialized in Internet of Things topics. The sample of this study was selected using the snowball sampling method and Cochran's formula for finite communities among all the managers and technology experts working in knowledge-based companies. After careful analysis of the interviews, 59 extracted concepts were identified in 5 main categories and 13 subcategories. Management requirements, customer requirements, and resistance economics give rise to the Internet of Things in knowledge-based companies.  The characteristics of the company, the characteristics of the human resources and the characteristics of the managers can provide a suitable ground for using the Internet of Things. And the conditions in the country, international pressures and international cooperation can be among the intermediary factors influencing the use of the Internet of Things. Raw materials and infrastructure can also be effective strategies for using the Internet of Things. Using the Internet of Things, customer-related factors, international collaborations, and expected results can be expected in knowledge-based companies.

The aim of this study was to investigate the relationship between growth opportunities, risks, and relative changes in the Company's cash assets. This study is a literature study and analysis was based on an analysis of panel data. In this study, a financial data of 112 companies listed in Tehran Stock Exchange during the period 2009 to 2014 have been reviewed. The results in relation to the first hypothesis of the present study suggest that between growth opportunities and significant relationship of changes in cash holdings is straight forward. Also according to the analysis done in relation to the second hypothesis, we determined that between now and the risk of changes in cash holdings is an inverse relationship.

This study aims to investigate the factors influencing the formation of organic services marketing in the tourism industry. According to the research conducted by the researcher, organic services are a new definition in the service industry. Organic services should represent high quality and health, just as organic products do. This research was conducted using a mixed qualitative and quantitative approach. The grounded theory was used in the qualitative part, through which the concepts and categories were identified in three stages of open, axial, and selective coding. Data were collected using in-depth and semi-structured interviews. The snowball sampling was used, reaching saturation with a total of 13 experts in the ecotourism and nature tourism industry. Five subcategories of influencing factors on the axial phenomenon were obtained from the qualitative method. The axial phenomenon had four subcategories itself. The results obtained from the qualitative part were examined using the quantitative method of structural equations. All five causal factors (climatic attractiveness and novelty, abundance of traditional and rural houses, experience of silence and peace, enjoyment and experience of health tourism, and people companionship and synergy of tourism) affected the axial phenomenon of the tourism industry significantly and positively.