درخت حوزه‌های تخصصی

Purpose: The current research aims to develop a model for digital transformation within the virtual space of the Broadcasting Organization in accordance with increasing the functionality of the virtual space among the audiences. Due to the lack of a model in this field in order to benefit from it, this research aims to extract the components of the model using the thematic qualitative method or theme analysis.Method: The statistical population includes 15 experts in media management and virtual space. To measure reliability, intra-subject agreement method (reliability between two coders/evaluators) was used to determine the reliability of the texts, and the reliability coefficient obtained for all three interviews and the total reliability coefficient was (0.87), surpassing the minimum acceptable threshold of 0.7, confirming the reliability of the codings and the interviews.Findings: The findings indicate that the model requirements consist of 6 main categories, 9 sub-categories, and 38 sub-categories essential for creating digital transformation and enhancing the interaction of the Islamic Republic of Iran's radio and television with the virtual space. The main categories of the model encompass content production, comprising six main components: content production (with six indicators), opportunities and threats (with 11 indicators), strengths and weaknesses (with 13 indicators), digital transformation components (with five indicators), platforms of introduction (with seven indicators), and consequences of digital transformation (with four indicators), totaling 46 indicators.Conclusion: The results show that establishing a favorable interaction in the virtual space and new media by creating a digital transformation in the national media is effective in attracting the audience and improving the performance of the national media and ensuring the satisfaction of the stakeholders.

Purpose: The growth of Smartphone applications has led to the development and transformation of business sector. The present work aimed to assess factors influencing the intention to use shopping applications.Method: A structural model was formulated for analyzing and testing the existing factors among shopping application users. The statistical population of the research comprised of the users of shopping applications in a public university in Iran. This study employed a questionnaire survey, which consisted of two sections. The first section included general demographic details of the target respondents, while the second section comprised 30 items to measure the constructs of our conceptual model. All items of constructs were adopted from previous literature. A total of 288 questionnaires provided usable data.Findings: The results revealed that factors such as Convenience, Perceived Ease of Use, Trust, and Perceived usefulness affect the intention to use shopping applications, while factors such as Perceived Innovativeness, Perceived Risk, Perceived Enjoyment, and Social Influence were found to be non-influential.Conclusion: This research was conducted based on a comprehensive review of the research literature and identification of influential constructs with the approach of creating an integrated model of factors affecting the intention to use shopping applications. Based on the research results, focusing on ease of use and creating the experience of perceived usefulness along with the use of tools that lead to the improvement of trust is critical for practitioners.

Purpose: The purpose of the research was to understand the cross media electronic marketing process. In fact, with the emergence of virtual organizations, social network media marketing has become a basic need for the possibility of movement and continued developmentMethod: this research conducted using Grounded theory analysis. Snowball or targeted sampling is utilized to gather the required data. The qualitative part of this study was conducted based on the viewpoints of 24 university professors, marketing activists, experts, elites, managers, and employees of insurance companies. Collected interviews were analyzed in MAXQDA software. To achieve this goal, the collected interviews are evaluated using different coding methods as the main process. The interviews were entered into the MAXQDA software. Coding in data theory methodology is a process of conceptual abstraction by assigning general concepts (codes) to individual occurrences in the data.Findings: Based on the analysis, 104 primary codes, 18 core categories have been identified in 6 categories of the foundation's data. With the emergence of electronic commerce, organizations are changing their business. The proposed model shows that the digital era has changed the expectations of customers from communication with brands. Before social networks, mass media communication channels such as television and radio to brand managers. It allowed them to communicate with consumersConclusion: In the present research, based on the participants' viewpoints, the categories of management factors challenge, financial potential, communication potential, customer characteristics and welfare and comfort, finally, marketing techniques have been identified and it has been related to another broader category called causal conditions. Information technology and targeted marketing were identified as background conditions. Environmental factors and psychological factors of the clients were identified as intervening conditions. Research strategies include business improvement, knowledge and education, and finally innovation and creativity. Outcomes include customer loyalty, sustainability in customer relationships with the product and social media, beneficial word-of-mouth and viral advertising, customer satisfaction, and purchase intent.

Purpose: This research aimed to identify some of the existing financial frictions in the Iran's digital economy. In particular, based on cases taken from digital and knowledge-based companies, it empirically investigated the importance of the role of base volume in the liquidity of those companies' stocks in Tehran Stock Exchange.Method: To evaluate the empirical implications of applying the base volume in daily stock market practice, retrospectively a quantitative estimate of the base volume was implied by the economic model within the rules imposed by the market regulator via MATLAB software programming. Then, using the Generalized Method of Moments (GMM), the effects of the estimated base volume, percentage of free-floating share, securities turnover, and the ratio of transaction volume to base volume on Amihud index were econometrically studied for the selected companies during the period 2015-2020.Findings: The findings indicate that the applying base volume on the selected digital and knowledge-based companies has had a negative effect on the calculation of the final price and on the liquidity of studied knowledge-based companies. Also, the results of using the machine learning method (decision tree) showed a importance coefficient of 32.6% for the base volume on the Amihud index of the selected companies.Conclusion: Our results suggest that base volume as an idiosyncratic financial friction induced by Iranian stock market regulator has aggravated the illiquidity of studied digital and knowledge-based companies and thereby could have raised the financing costs for those companies. This would ultimately impede those companies’ growth prospect.