درخت حوزه‌های تخصصی

The purpose of this study is to investigate the effect of competitive advantage strategies on customer loyalty with the mediating role of customers brand identification and brand awareness in the insurance industry. The study methodology is descriptive-correlational and the statistical population were Parsian Insurance brand customers in Rasht, Lahijan and Bandar Anzali cities. By the use of Morgan table, the sample size were 384 people which finally we selected 389 people by the use of random sampling method. The main dimensions of the research questionnaires were competitive strategies of differentiation, cost leadership, brand identification, brand awareness and customer loyalty. In order to analysis the data we used SPSS 22 and Smart PLS 2 software. The results indicated that differentiation strategies has meaningful and significant effect on customer loyalty and also the mediating roles of brand identity in the relationship between differentiation and customer loyalty and also in the relationship between cost leadership and customer loyalty were confirmed, but the relationship between cost leadership on customers loyalty and the mediating role of brand awareness in the relationship between differentiation on customer loyalty and cost leadership on customer loyalty were not confirmed. 

This study aims to test the relationship between knowledge generation and organizational creativity. The second method was surveyed (analytical) using exploratory research through the survey as a data collection tool. The validity coefficient was measured as a reasonable degree of stability was obtained for a sample of (46) individuals. The data was analyzed using statistical package (SPSS V25). Descriptive Statistic Among the findings is that CASNOS has a medium level of the knowledge generation process, and there is a statistically significant effect of knowledge generation on the organizational innovation of CASNOS (El-Oued), according to the dimensions adopted in the study model.

It has been proved that in the era of globalization and the development of information technologies, the need to optimize the supply chain of services increases, since the integration of participants in this chain is performed without the use of modern management information systems. In the paper, with the help of logic-cognitive, structural-functional methods, structural-logical and imitation modelling, a management approach to simulation of business interaction in the integration of enterprises with elements of ERP-system and CBIP is developed and proposed, which allows you to create a flexible, adaptive and secure IT infrastructure , which increases the efficiency of the enterprise and allows you to optimize the management of relations with other participants in the service supply chain. As a result of this application of modern supply chain management systems, a synergistic effect is achieved that allows you to minimize the number of technological operations, shorten the production cycle and reduce the cost of services both for each individual enterprise and in the service supply chain as a whole.

Learning effective segment depictions and resemblance measures are fundamental to the recuperation execution of a substance based picture recuperation (CBIR) structure. Regardless of wide research tries for a significant long time, it stays one of the most testing open gives that broadly impedes the achievements of real-world CBIR structures. The key test has been credited to the extraordinary "semantic hole" subject that happens between low-level photo pixels got by technologies and raised close semantic thoughts saw by a human. Among various techniques, AI has been successfully analyzed as a possible course to interface the semantic gap in the whole deal. Impelled by late triumphs of significant learning techniques for PC vision and various applications, in this paper, we try to address an open issue: if significant learning is a longing for spreading over the semantic gap in CBIR and how much updates in CBIR endeavors can be cultivated by exploring the front line significant learning methodology for learning feature depictions and likeness measures. Specifically, we explore a structure of significant learning with application to CBIR assignments with a wide game plan of definite examinations by investigating front line significant learning methodologies for CBIR endeavors under moved settings. From our exploratory examinations, we find some encouraging results and compress some huge bits of information for upcoming research.

The purpose of this study is to substantiate the basic principles and prerequisites for the formation of project maturity of public administration for the successful implementation of digital governance projects. The relevance of this study is due to the need to implement the task of digital transformation of Ukraine by solving the problem of modernization of public administration on the basis of constant increase of project maturity of the organizations.The study proved the existence of a direct dependence of prospects for the implementation of digital transformation projects on the level of project maturity of public management. A variant of the project maturity model adapted to the local self-government body is being developed. The model assumes three levels of maturity of local governments. It has established that the majority of the created united territorial communities of Ukraine were characterized by the first two levels of maturity. The implementation of the maturity model makes it possible to assess the current state of the system, choose adequate tools for staff training, create conditions for continuous improvement and realization of the potential of the local community for the implementation of digital transformation projects.

Nowadays, when excessive attention to the material issues and the homogeneity of societies does not meet the rebellious and human spirit, and amid successive runs, it seems that man is looking for a destination other than bread and shelter, a higher excuse to survive. The need to discover the truth and meaning of existence compels man to glorify his immaterial and spiritual dimension by seeking the path of cognition. Understanding spirituality and its history is a significant concept worth exploring from a social and personal perspective. This research was done using the qualitative grounded theory method to present the idea of spirituality in tourism, relying on Eastern philosophy and international codes of ethics, and performing different techniques such as studying various texts and using the expert’s opinion. The results of this research can be interpreted in such a way that the individual  dimension includes: internal and mystical connection, human interaction in the universe and superior power, guiding principles in understanding truth and meaning of life, and social dimension including each person's cognitive system and its impact on man's attitude and perceptions of his life and behaviors, determining the tolerable capacity of the environment and environmental assessment, protection of cultural identity and indigenous subcultures. Recognition and perception of spirituality in tourism express spirituality, which is done by emphasizing self-creation and action related to the Creator of the world.  

Nowadays, the generated and shared content on tourist perceptions in social media is considered a fresh and far-reaching way to introduce the concept of the destination image. Destination decision-makers attempt to use this content to provide a deep understanding of tourism supply and demand. Marketers have to be particular about it when defining a proper destination image. In this regard, many researchers have emphasized the importance of using social media to tap into tourists’ perceptions of destination because it not only helps to deepen the administrators’ understanding of the demands of this type of tourism and to propose new approaches to determine the customers’ preferences in destination marketing but also directs new products and services to satisfy the tourists to a greater extent. Depending on the type of tourism, the contexts and criteria for this kind of virtual investigation are different. For example, in cultural destinations, tourists’ perceptions of tangible and intangible cultural heritage and services and products offered in virtual contexts are regarded as a tool to assess the tourists’ perceptions of that destination. The present study assumes that a holistic approach toward the analysis of tourist perception in the virtual sphere could be a well-qualified alternative to determine tourists’ wants in cultural destinations. Content analysis, which is a practical method in analyzing visual and textual data and  therefore is quite pertinent to the analysis of tourist perceptions, was adopted as the data analysis instrument in this study. To collect the data, two frequently-visited and widely-used websites with easy access to tourists’ comments, namely TripAdvisor and Flickr , were selected so that tourists’ experiences and perceptions could be gathered more authentically and conveniently. The findings demonstrated that the analysis of perceived authenticity of cultural destinations in Iran could provide the content required to create a destination image for purposeful marketing in Iran. Perceived Authenticity was categorized into three main themes: emotional, sensational, and rational.