درخت حوزه‌های تخصصی

Purpose: Technology plays an essential role in any country to achieve sustainable development. Choosing appropriate and advanced technology is one of the strategic decisions of industrial managers. This research discusses the critical factors that should be considered in the process of choosing new technologies based on the competitive mechanism, and accordingly, designs and explains the technology selection model for equipping downstream petrochemical industrial units to create a competitive advantage.Method: The research method is an applied one and in terms of data type, it is a partly qualitative and quantitative research. In the quantitative phase, research data was collected based on the data obtained from the qualitative phase, and using the questionnaire tool. The research data was analyzed using thematic analysis and MaxQda software in the qualitative phase and they were also  analyzed using the TOPSIS technique and meta-heuristic algorithm in the quantitative phase for modeling.Findings: Thirty-four concepts and five categories were identified as technology selection criteria for equipping downstream petrochemical industrial units to create a competitive advantage. The "technical criteria" factor was identified as the foremost priority in equipping downstream petrochemical industrial units to create a competitive advantage. The ranking of the determined categories from one to five were the factors of competitive criteria, strategic criteria, internal criteria, and external criteria, respectively.Conclusion: Finally, using the TOPSIS fuzzy technique, the model of equipping industrial units was presented to help decision-makers and policy makers of downstream petrochemical industries.

Purpose: The main purpose of this study is to design and evaluate a book recommender system in digital and public libraries. The solution has been provided by receiving and reviewing the preferences and experiences of users and profile information and studying the background of each user, as well as considering groups of features recorded in the recommendation process. Method: This research is applied in terms of purpose and survey method. The statistical population studied in this research consists of 263 questionnaires of users and 30 questionnaires of librarian experts. In order to find similarity between users and books, clustering and grouping have been used. Findings: There are two criteria for grouping: users grouping that can be used on the three indicators of age, gender, educational level, and thematic classification of books can be based on scope, branch, and sub-category. In analyzing the data in the descriptive statistics section, Excel software is used and in the analytical section, SPSS software. Findings indicate that the accuracy criterion has been improved by calculating MAE and RSME in the proposed method compared to the basic method in this field. The results also showed that classification can have a significant impact on the forecast and performance of book forecasting systems. Conclusion: The evaluation of the conceptual design showed that by focusing on user characteristics and obtaining real feedback of Iranian libraries, the recommender can serve as a key and effective element in the service of the Iranian readership community and play a good role as a virtual reference librarian.

Purpose: The purpose of this research was primarily to design the electronic customer relationship management model and explain its consequences.Method: Validation of electronic customer relationship in private banks based on mixed research and descriptive-exploratory method were used. On this basis, with the help of data-based theorizing method, the categories forming the model were identified by open coding, and then with the benefit of central and selective coding, the desired model was presented. Also, in the following, the validation of the model among the studied population was discussed using the method of structural equation modeling. The statistical population for presenting the model includes banking industry experts (consisting of senior bank managers with at least 10 years of work experience and academic experts in the field of digital marketing with at least 5 years of experience working in the banking system) and for validating the model two categories of managers and employees of private banks. The research is limited to the city of Tehran and the local customers . The statistical sample of experts up to the stage of theoretical saturation is 16 people using a purposeful judgemental method, and for the model validation stage, 230 people were selected based on the rules of sample size in the structural equation method. The data collection tool included a semi-structured interview for the modeling stage and a questionnaire with a five-point Likert scale for the validation stage.Findings: The findings showed that 67 basic themes (selective concepts) were categorized and after reviewing, 20 organizing themes (dimensions) were obtained and finally these dimensions were divided into 7 general categories: organizational factors, individual factors, contextual factors, environmental factors, frameworks, strategies, consequences were categorized. The main category identified in this research is "Implementation of E-CRM" and other categories are presented under the headings of causal conditions, background factors, strategies, and consequences.Conclusion: The results of the calculated value (GOF) for the structural model of the research was calculated as 0.387, which indicates the overall strong performance of the structural equation model of the research. Also, the findings of the quantitative part have confirmed the validity of the structural model of the research and demonstrated the truth of hypotheses of the research (except for hypotheses No. 9, 11, 15, 16, and 17)