درخت حوزه‌های تخصصی

The purpose of this study is to provide a conceptual framework for the e-learning system of higher education institutions in the Iran, based on the views of experts related to the field of e-learning at the level of higher education institutions and prioritizing factors over each other. The present study is applied in terms of purpose; It is descriptive-exploratory in terms of how data is collected and qualitative in terms of the nature of the data. Accordingly, in order to collect qualitative data, after reviewing the literature related to the research topic, a framework was developed to ask questions of interviews with experts. Then, using purposive sampling method (snowball), the opinions of 15 experts up to the theoretical saturation stage were used. The interviews were coded using Clark and Brown six-step inductive theme analysis. Accordingly, the identified speech evidence from the interview text was labeled in the form of 53 initial codes. Then, the initial codes were drawn in the form of 12 sub-themes and then, three main themes including specialized requirements of e-education system, general requirements of e-education system, results and consequences of e-education system, classification and conceptual conceptual framework of e-education system of higher education institutions. Then, in order to validate the results of the interviews and confirm the components of the research conceptual framework, the fuzzy Delphi questionnaire and method were used and in order to prioritize the components of the research conceptual framework, the fuzzy hierarchy questionnaire and process (FAHP) were used. Based on the results of the research in the Delphi section, all 12 sub-themes or questions of the Delphi questionnaire were approved by the research experts. The results of fuzzy hierarchical analysis also showed that the technical requirements of e-learning have the highest priority among the specialized requirements, followed by the quality requirements of the education system, support requirements, requirements related to professors, requirements for educational quality and related requirements. With students, they are in the next ranks. Also, achieving effectiveness is the highest priority among the general requirements of the e-learning system, followed by satisfaction, optimal use and utilization, in the next ranks. In addition, saving time and money is the highest priority. Among the factors and then the development of learning and integration of education, are in the next ranks.

The purpose of this study was to present a role-playing model for municipalities in dealing with infectious diseases based on digital developments. The content analysis method has been used to identify the adaptation indicators of the role-playing model of municipalities about infectious diseases. The statistical population in this study includes professors and universities, municipal managers, physicians, and ordinary people. In this study, 11 members of the population were interviewed based on systematic sampling. Semi-structured interviews were used to collect data. The collected interviews were analyzed using ATLASTI software and the content network was reached based on 6-step coding. The components of information and research are: Information and publicization of information, education, and research .The components of law and policy-making are: Policy-making, inter-organizational cooperation, licensing, culture-building, and prohibition, and the limitations of the components of participation and transparency are: Participation and collection of executive information. These include government-sponsered and political factors, information and education, weak laws, and managerial factors. The components of servicing and equipment are the disinfection of public centers, organizational services, and optimization of services. According to the results, the prevalence of this disease has accelerated the process of digital transformation in cities. The city and municipality of Amol are no exception to this, and in this regard, it has strengthened its online services and involved data collection and cross-sectoral cooperation with other institutions involved.

The present study was conducted to identify the future dimensions of smart city planning research. Participants in this study were municipal managers and urban planners with at least 15 years of experience and a master's degree or higher. Individuals were selected by purposive sampling. Sampling was performed with the participation of 10 experts. Data collection tools fell into two groups: 1- review and upstream documents, urban planning documents in the library section, 2- semi-structured interview in the field section where the semi-structured interview with the participants continued until the theoretical saturation stage. Content analysis method was used to analyze the qualitative data. In order to ensure the validity, the interview questions were approved by 3 experienced urban  planning experts and managers, 1 of whom had a master's degree and 2 of whom had a doctorate. In order to measure the reliability, the krippendorf coefficient was used, the overall coefficient of which was 84%. ATLASTI software has been used in the content analysis section. In order to identify future smart city planning research scenarios, SCENARIOWIZARD software has been used.  The results of factor analysis show that out of 176 available indicators (items), 33 basic themes can be identified and 9 categories of constructive themes have been obtained. Finally, 9 scenarios were identified based on the importance of all 9 factors. The results indicate that the main output of the realization of smart cities and e-municipality is to set conditions for providing services in the healthiest way to citizens, eliminating corruption, creating new job opportunities, and service and transformation in the economic and commercial sectors, increasing the effective presence of the private sector and improving the business environment, reducing damage to the environment, smart governance and increasing satisfaction

Mobile games are getting a lot of attention as a content-based sector of the digital economy. Especially considering "Free with In-App Purchase" as the mainstream business model of these games, designing the right economic structure to monetize the content of mobile games is crucial. However, there is limited knowledge about the mechanisms of persuading users to pay for in-game content and most of the studies are merely focused on the revenue models. Due to this knowledge gap, this study attempts to aggregate the game monetization methods into a multi-level classification and focus on identifying the main content monetization mechanics of five genres: Arcade, Sport, Puzzle, Racing, and Platformer/ Runner. For this purpose, interviews were conducted by game design and economics experts about successful mobile games. As a result, a new multi-level classification for mobile games revenue models is proposed which includes monetization via selling core items, selling performance items, and providing supplementary services in addition to retailing and in-game advertising. It also became clear that monetization mechanics for each of these methods vary in different genres and change depending on the type of game. The results of this study can be useful for digital game researchers, designers, and marketeers to structure a better revenue stream.

The beha ioral decision-making process of indi iduals highlights the importance of in estors' feelings and their correlation with the real economy. The purpose of this study was to model Digital in estment satisfaction based on accounting information, information asymmetry, and indi idual  alues. Qualitati e methodology was used to answer the research question. Furthermore, in terms of research philosophy, the present research is in the category of positi ist paradigm and practical type, and in terms of qualitati e and quantitati e research, it has an inducti e and deducti e approach and a sur ey strategy. This research is exploratory in terms of purpose ,that is to say, it explores  ariables and their causal relationship. The required information was collected through inter iews with experts and ATLAS.ti 9 software was used qualitati ely. The research population included financial and management experts of companies listed on the Tehran Stock Exchange. By analyzing the data collected in the research, a total of 23 categories and 252 and finally 127 concepts were identified and extracted. Selecti e coding and axial coding were also performed. Among the identified factors, the axial coding paradigm was performed and based on that, the linear relationship between research categories was determined, including causal conditions, axial categories, underlying conditions, inter ening conditions, strategies, and consequences. One Judicious leader for the more part for settlement on a decision focused on certain rationale and systematically decision-taking methodology. Because of the recent budgetary emergency worldwide, the  enture choices are considered one of the essential assignments in the e eryday life.