درخت حوزه‌های تخصصی

Labor relations are a solution for solving organizational problems in order to solve the gaps in government organizations based on the macro policies of the administrative system. The purpose of the research is to identify and validate the drivers of labor relations for digital human resources in government organizations. The current research method is mixed (qualitative-quantitative) in terms of philosophical presuppositions of pragmatism (pragmatism), in terms of cross-sectional data collection, and in terms of exploratory nature, researchers use purposeful sampling in the qualitative phase to collect data using From the method of theme analysis (topic) to interviews with human resource experts in the executive field in the administrative and employment organization with 15 people, they reached theoretical saturation and in the quantitative stage by using G-power specialized software using the sampling method. A simple random sampling of 155 people with the position of executive expert was selected as a sample. The tool of data collection in the qualitative stage was an interview and in the quantitative part, a questionnaire. Validity and reliability were confirmed in the qualitative phase by experts and in the quantitative phase by using composite, Cronbach, and shared reliability in Pls software. The findings of the article showed that digital communication, structural innovation, organizational factors, digital culture, employee retention, and legal factors were introduced as drivers of labor relations.

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)

Bali tourism faced conflict with the local community because of the utilization and commodification of sacred and forest areas. The first sacred area conflict occurred in 1994, based on the use of the sacred land “Tanah Lot” become tourists resort namely Bali Nirvana Resort (BNR). Furthermore, this problem is presently observed in the utilization of mangrove forests for the international airport and LNG (liquefied natural gas) terminals, respectively. In these conflicts, all facilities are designed to support the increase in the inbound tourist visits and foreign investment. This growth of Bali tourism threatens the development of sustainable tourism, which concerned with environment, local communities and local economy, but spiritual tourism creates the conflict subsided due to the dependence of spiritual tourism on sacred areas, the environment, and local community resources. Therefore, this study aimed to evaluate Corporate Social Responsibility (CSR) of spiritual tourism in building sustainable economy based on the local wisdom of Bali Tri Hita Karana. Data were qualitatively analyzed and obtained from literature reviews, observations, and in-depth interviews. The results showed that spiritual tourism emphasized sacred areas, the surrounding natural environment, and local community assets. This dependence developed a mutually beneficial relationship, subsequently leading to the CSR of Spiritual Tourism. The CSR based on the local wisdom Tri Hita Karana which create harmonious between the local people, environment, and investment.

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.