درخت حوزه‌های تخصصی

Accurate stock market prediction can assist in an efficient portfolio and risk management. However, accurately predicting stock price trends still is an elusive goal, not only because the stock market is affected by policies, market environment, and market sentiment, but also because stock price data is inherently complex, noisy, and nonlinear. Recently, the rapid development of deep learning can make the classifiers more robust, which can be used to solve nonlinear problems. This study proposes a hybrid framework using Long Short-Term Memory, Autoencoder, and Deep Neural Networks (LSTM-AE-DNNs). Specifically, LSTM-AE is responsible for extracting relevant features, and in order to predict price movement, the features are fed into two deep learning models based on a recurrent neural network (RNN) and multilayer perceptron (MLP). The dataset used for this is Dow Jones daily stock for 2008-2018, which was used in this article. Besides, to further assess the prediction performance of the proposed model, original stock features are fed to the single RNN and MLP models. The results showed that the proposed model gives the more accurate and best results compared to another. In particular, LSTM-AE+RNN shows a better performance than the LSTM-AE+MLP. In addition, hybrid models show better performance compared to a single DNN fed with the all-stock features directly.

This research aims to design an integrated model for digital marketing based on marketing intelligence and validate the model in the ISACO Company. The research uses a mixed-methods descriptive survey design. In the qualitative phase, the model and nine theoretical hypotheses were proposed using grounded theory and a semi-structured questionnaire. Fourteen academic experts and managers in the area of marketing and sales were interviewed until theoretical saturation was achieved. Then, the model and proposed hypotheses were validated using the quantitative method of structural equation modeling. A questionnaire rated by the Likert scale was distributed among 340 active employees in the relevant areas to the research topic with at least a Bachelor’s degree chosen by the convenience sampling method in the ISACO Company and affiliated companies. The structural model and hypotheses related to causal factors, core category, contextual factors, strategies, and consequences (except the moderating role of environmental factors) were validated by the research findings.

Purpose: The quality of education and research is one of the concerns that academic systems always strive to achieve. Undoubtedly, the existence of leading professors with appropriate scientific and ethical competencies is one of the effective fundamental factors in the quality of higher education systems. Methodology: The general purpose of the present study is to examine the dimensions of leading professors and determine the importance and priority of these goals. In terms of purpose, this research is an application that was done with a mixed approach (qualitative and quantitative) with an exploratory design. In the qualitative approach, the content analysis method was used and in the quantitative approach, the descriptive survey method was used. The statistical population consisted of 20 professors of Babol University of Medical Sciences in the qualitative department and 348 faculty members of Babol University of Medical Sciences in the quantitative department. Taking the saturation law, 10 people and in the quantitative part, based on Cochran's formula, 183 people were selected as a statistical sample using stratified random sampling method based on scientific rank. By analyzing the qualitative data, a researcher-made questionnaire designed by leading professors with 80 questions was designed. Data were analyzed by structural equation modeling in SPSS-23 and PLS-2 software. Findings: The results showed that; Leading professors have three dimensions: "educational, research and individual". Conclusion: Educational dimension with five components (teaching skills, educational technology, education management, evaluation skills and observance of educational rules), research dimension with two components (scholarship and research ethics) and individual dimension with five components (characteristics Appearance is professional ethics, honesty, creativity and discipline) which has a greater impact on the educational dimension with a factor load of 0.963 and a research dimension with a factor load of 0.894.

Purpose: Entrepreneurship development is one of the important concepts of recent decades that higher education has an important role in promoting it. As a result, the present study was conducted with the aim of investigating the status of entrepreneurship development levels in the Iranian university system. Methodology: This study was a descriptive from type of survey. The research population was managers of calligraphy organizations and professors of entrepreneurship disciplines of country in 2020 year. The research sample was 72 people who were selected by cluster sampling method and answered the researcher-made questionnaire of entrepreneurship development in the university system (82 questions). The face and content validity of the questionnaire was confirmed by 20 experts and its reliability by Cronbach's alpha method was obtained 0.91. Data were analyzed by binomial test in SPSS software. Findings: Findings showed that the entrepreneurship development in the Iranian university system at the institutional level (and its components including cultural factors and social factors) and policy level (and its components including actors in the field of entrepreneurship areas, entrepreneurial elements, policy-making stages and policy-making institutions) was above the average and at the individual level (and its components including individual factors and psychological factors) was below the average (P<0.05). Conclusion: According to the findings of the present study, officials and planners of entrepreneurship development in the Iranian university system should take steps to improve the curriculum and holding entrepreneurship training courses in order to improving the individual level of entrepreneurship development and the personal and psychological characteristics of entrepreneurs