درخت حوزه‌های تخصصی

This paper studies a theoretical model of moderated mediation in which religious learning assists as an intervening mechanism that explains the moderated relationships between brand image and the dimensions of travel benefits (tranquility and health). The study also considers the four dimensions of direct effects of a spiritual experience including (Sense of bliss, Elimination of the life concerns, Emotional involvement and Interaction). The results of the study of 384 religious tourists provide support for this integrated model across the dimensions of travel benefits. Furthermore, the results of the studies conducted on the domestic tourists verify this integrated model along with the dimensions of the religious travel advantages. The moderating effect of the religious learning is expected to have a positive impact of the brand image on the religious travel benefits as this learning strengthens the positive linkage. Additionally, the spiritual experiences enhance the positive effect of the religious travel benefits through the brand image. The present findings also indicate that the Religious travel benefit have direct effects on health and tranquility Variables via Brand image and religious learning. A model is implemented here in order to measure the strength of the findings and it is argued how this moderated mediation pattern could be shown using the empirical evidence of the religious beliefs concentrated on the various religious experiences of the tourists.

The Internet is changing the transaction pattern of B2B markets. One of the major concerns of IT knowledge-based companies is how to take advantage of B2B online markets. These companies believe that the only possible strategy for entering these markets is to launch independent websites, and they are usually reluctant to enter these markets due to the requirements such as financial resources and skilled human resources. The literature showed that there were different strategies for entering these markets. This study aimed to identify the factors influencing the selection of B2B online market entry strategies in IT knowledge-based companies but given the complexity of choosing the right strategy, it is a complex and unstructured issue, with various stakeholders, both internal and external, involved. Therefore, due to this complexity and the strong role of the human factor in it, the methodology of soft systems methodology has been used. The results showed that the factors contributing to the selection of B2B online market entry strategies in IT knowledge-based companies included entry time, external beneficiaries' characteristics and needs, corporate resources, corporate control strategy, corporate IT capabilities, external beneficiaries' IT knowledge and motivation, and product.

The accounting software is considered to be of the most critical components of accounting information system, with particular significance as of accounting and financial systems. the most important problems with accounting education systems is that students do not adequately learn the financial software required by the accounting profession, which, in turn, reduces the credibility and position of the accounting profession. That the main objective of accounting software education is to educate skilled and expert accountants to enter the accounting profession, which is considered as of the success factors of country’s economy. In this study, employ data mining techniques to investigate the accuracy, precision, and recall performance measures and to predict the rate of financial software learning based on accounting students’ emotional intelligence (EI), gender and education level. Accordingly, a machine-learning-based multivariate statistical analysis is performed on 100 Iranian accounting students. The results show that emotional intelligence has the most impact on the rate of financial software learning among the variables. Gender and education level were influential. Also, among the five algorithms, the highest precision and recall are achieved by both Decision Tree and XGBoost and are presented as the most appropriate models for the prediction rate of financial software learning.

In this research, the influencing factors on the behavior of human resources in the marketing department and human resource management policies and their relationship with the strategies of this department have been examined in order to identify the factors that are related to the superior performance of this department. This research was carried out in the framework of a qualitative approach and using grounded theory. The data collection tool was semi-structured interviews, which were conducted using a combination of purposive (judgmental and quota) and theoretical sampling. The theoretical saturation criterion was used to determine the sample size and 36 interviews was conducted in 14 manufacturing companies in order to finally achieve theoretical adequacy along with document content analysis. Atlas. ti software was used to analyze the data obtained from the interviews and coding. Data analysis was done in three stages open coding, axial coding, and selective coding, and based on that, a qualitative research model was presented. The results of the research led to the extraction of 669 open codes, 160 concepts and 40 categories in the form of a paradigm model include the central category (strategic management of human resources in marketing, culture, improvement and correction, coherent and aligned systems), causal conditions (control of destructive effects) , strategic human resources and competition in the market, job type, priority dimensions, value addition and customer retention), strategies (job satisfaction, commitment, trust, perceived organizational support, motivation, justice, reward, employee participation, loyalty, empowerment, empowerment, green insight into human resources and marketing), the prevailing context (demographic characteristics, psychological characteristics, organizational structure, strategy, organizational culture and supply, technology in use) and finally outcomes (superior performance, organizational citizenship behavior, key work behaviors and production axis, the effects of human resource strategies, environmental thinking and green performance) were presented.