درخت حوزه‌های تخصصی

Purpose: Dynamic features of the market, increased competition, and globalization are primary requirements of active participation in new markets. These days, only companies which benefit from digital agility and function fast, as well as flexibly, can grow and expand their market. The present study aimed to design and illustrate a model of agile digital marketing capabilities in the insurance industry in Iran.Methodology: The present study is aimed at presenting a model of agile digital marketing capabilities in insurance industry by using semi-structured interviews. By nature the study is exploratory and qualitative; concerning research objective it is an applied study; it is, also, a descriptive survey study in terms of data collection. The population includes all senior managers of insurance firms and decision-makers in digital marketing of insurance industry. Accordingly, the sample includes 42 participants with required subject-matter experience and skill and expertise. By means of qualitative research methods in marketing, and the real-world data-based grounded theory (GT) systematic paradigm, the study tried to present a theoretical model.Findings: Based on the interview data and following the grounded theory approach, 246 open codes and 41 themes were identified regarding the agile digital marketing capabilities in the insurance industry. In this research, the main categories are Flexibility, Prediction and accountability-prevention, Quality, Reconfiguration, Functional mutual cooperation, Convenience and reaction speed, Perception, Trust and safety, Integrity of skills and performance, the ability of technical integration, the ability of organizational integration. In  addition to the central dimension, five other components (Casual factors, Contextual factors, Intervening factors, Strategies, and Consequences) were identified.Discussion and Conclusion: The final result of the study is a relatively comprehensive and complete paradigm based on the requirements and characteristics of the insurance industry. The present study aims to expand theoretical foundations and the existing literature on digital agile marketing through an applied and appropriate model, whereas previous researches are focused on speed and accuracy, or on organizational structure, culture, manpower, information equipment, technology, and process, or on reaction speed, flexibility, and responsiveness.  Also, the importance of channels, social media, digital communication, digital technology in digital marketing, and social networks, as well as the special value of the brand , are common knowledge. Studies, also, allude to team-making and management support, and culture . Also, in some cases, adaptability to changeable conditions, cooperative approach, integrative workplace, innovation speed, concentration on prediction, and monitoring market needs were attested in previous literature

The military and political leadership of Ukraine considers the domestic military-industrial complex as an important component of the country's national security and defense strategy and pays special attention to increasing the efficiency of production and scientific and technical activities of defense industry enterprises and organizations. The study represents directions for improving the state regulation for the further development of the military-industrial complex in Ukraine under the conditions of the transition to modern information technologies. Proposals have been made for the formation of the organizational and economic mechanism for state regulation development of the military-industrial complex, aimed at ensuring its innovativeness, stimulating scientific and technical activity, and implementing modern information technologies systematically during the production of weapons, ammunition and military goods.

Due to obstruction in photosynthesis, the leaves of the plants get affected by the disease. Powdery mildew is the main disease in cucumber plants which generally occurs in the middle and late stages. Cucumber plant leaves are affected by various diseases, such as powdery mildew, downy mildew and Alternaria leaf spot, which ultimately affect the photosynthesis process; that’s why it is necessary to detect diseases at the right time to prevent the loss of plants. This paper aims to identify and classify diseases of cucumber leaves at the right time using a deep convolutional neural network (DCNN). In this work, the Deep-CNN model based on disease classification is used to enhance the performance of the ResNet50 model. The proposed model generates the most accurate results for cucumber disease detection using data enhancement based on a different data set. The data augmentation method plays an important role in enhancing the characteristics of cucumber leaves. Due to the requirements of the large number of parameters and the expensive computations required to modify standard CNNs, the pytorch library was used in this work which provides a wide range of deep learning algorithms. To assess the model accuracy large quantity of four types of healthy and diseased leaves and specific parameters such as batch size and epochs were compared with various machine learning algorithms such as support vector machine method, self-organizing map, convolutional neural network and proposed method in which the proposed DCNN model gave better results.

purpose: The purpose of this research is to provide a model of transparency in the Islamic Council of the Islamic Republic of Iran (with the approach of digital governance in the context of information technology). Method: The type of research is based on the fundamental objective, which is a mixed approach (qualitative and quantitative) with an exploratory design. In this article, only the qualitative part is mentioned. in the qualitative part with a phenomenological approach, the seven-step theoretical method of Kleizeri and the Delphi technique have been used. The statistical population of this research in the qualitative part includes experts in the field of transparency, whose number is 24 people. The data collection tool of this research was conducted in the qualitative part through individual, in-depth, semi-structured interviews, and then the data was processed. Findings: The model of transparency in the Majlis of the Islamic Council of Iran consists of five main categories, which are: informational, financial, supervisory and accountable, ethical and professional, which not only achieved the dimensions of transparency in the Islamic Council, but also the factors affecting the establishment The success of transparency, the consequences of establishing transparency, the obstacles to establishing transparency, as well as possible damages in the Islamic Council in case transparency is not established will also be discussed.