مطالب

Communication plays a critical role in any sustainable plan or strategy. This meta-analysis was conducted to provide an overall perspective of the relationship between communication and organizational performance. A total of 999 articles in both English and Farsi were extracted from four databases. The random effects model was used to analyze the data. The analysis was done by CMA2 ) V2.2. 064 (. The results based on the random effects model illustrated that the degree of the relationship between communication and organizational performance is large, positive, and significant (R=0.745, CI=0.95 p=0.000%). Furthermore, "Research object", "publication year" and "country" were identified as moderator variables in this relationship. An important jump in the intensity of this relationship was detected from 2017. Moreover, a significant difference in the intensity of this relationship was observed in educational organizations with commercial and medical organizations, which can be useful for activists in these fields. The intensity of the relationship in the countries of China, Malaysia, USA, South Korea, and Iran have been evaluated as significantly different. Therefore, these results can open new horizons for future research and especially the localization of international research results.

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.

Partnership quality has been known as one of the foremost critical determinants of outsourcing victory. Since the relationship is dynamic, it is important to understand both sides of the partner. The purpose of this study is design a model for the partnership quality in outsourcing services with focus on both sides. In order to achieve this goal, mixed method (qualitative-quantitative) and grounded theory approach have been used. In the qualitative section, in order to identify the categories of the contextual model of partnership quality, a semistructured interview has been used in the service provider and client section by theoretical sampling method. The statistical population in the qualitative section included all managers and heads and expert contractors in 90 contracts during the 3 years. The total number of statistical population in the qualitative section was 176 people. In the qualitative section, grounded theory and MAXQDA software are used for analysis. Then, through the coding process in three sections, open, central and selective data of qualitative section were organized. In the quantitative research section, the statistical population included district heads, deputies, officials, supervisors on the one hand, and all their contractors and representatives on the other. The total number of statistical population in the quantitative section was 623 people. In the quantitative research section, in order to test the obtained pattern, the required data were collected by a designed questionnaire. To analyses the data collected, the partial least squares (PLS) method was used. According to the results of this research, the most important operational strategies are, empowerment, standardization and technology improvement to achieve the partnership quality in outsourcing services.

The purpose of the study is to design a new behavioral model of blockchain technology acceptance in public banks through content analysis. Therefore, based on the theoretical literature and behavioral theories of technology acceptance, the primary conceptual model was presented. Then, by interviewing experts selected by snowball method, the relevant model was finalized. Theoretical validity and interpretive validity methods were used to measure the validity of interviews. To check the reliability of interviews, the test-retest reliability method has been used. The validity of the factors was checked through the Delphi technique and with fuzzy calculations. According to the results, four main factors of the behavioral model are: people, environment, organization, and technology. Totally 10 sub-factors and 36 indicators were identified. This model can contribute to public banks to understand how these various factors interact with each other and how they can be improved to achieve higher acceptance of blockchain technology.

The optimal portfolio selection is vital for investment. The risk of portfolio Selection and return is the most critical concern of investment companies and private investors. According to modern portfolio theory, diversification should cover the risk. This theory is based on the normality of assets return. Experimental findings indicate that the assets return non-normality. Higher moments are sed to upgrade traditional models with the primary presumption of a normal distribution in recent years. This study uses a higher moment and the entropy for diversification and selects a portfolio given a non-normality assumption. It is essential to use up-to-date information to increase the model's efficiency, and accordingly, we used the rolling window for new price information. For the financial information method, we use the total index return in the last five working days and weigh the shares of the banking, insurance, and leasing industries on the next working day and evaluate this for three years. Python, math, and NumPy libraries were used to analyze the data. The results show that a much higher moment model can provide better portfolio selection results in most cases.

The purpose of this study was to design and formulate strategic liquidity management strategies in the banking industry. In this research, in order to combine qualitative and quantitative data, a sequential integrated exploratory method will be used, according to the classification model with emphasis on qualitative data. Therefore, according to its objectives, the present study is part of applied research and in terms of the research process is part of descriptive and exploratory research that was conducted in two parts: qualitative and quantitative. The statistical population of the present study was the qualitative part of the managers of the Welfare Bank. The sampling method was to achieve theoretical saturation and 25 people were selected as the sample size. Therefore, a survey was used to collect information and according to the data collection, two types of tools were used to review documents, interviews, and questionnaires, and the evaluation method of the questionnaire was performed with a 5-point Likert scale. The Cronbach's alpha questionnaire was used. SWOT analysis was used to analyze the data. The results showed that the Welfare Bank has many opportunities to develop appropriate liquidity management strategies. As it was observed, the chart stretches towards the opportunities and strengths of the offensive situation, which requires strategic planning to use the strengths and opportunities, and 11 strategies were developed for this purpose.

Objective: To identify the components affecting the behavior of investors and to develop a measurement model using a confirmatory factor analysis approach.Method: This is a correlational paper to identifythe dimensions and structures affecting investor behavior first using TOPSIS technique and then with first-order confirmatory factor analysis and second-order factor analysis. The statistical population includes people who have been active in the Tehran Stock Exchange for at least two years with asample of 327. The sampling method is convenience nonprobability sampling. The data was collected through a researcher-made questionnaire. The expert approval and Cronbach's alpha coefficient were used to assess the content validity. Findings: the current paperidentified seven factors as effective factors on investor behavior according to the theoretical literature and research background using TOPSIS technique. In the next stage, the research findings using the confirmatory factor analysis approach indicate that the two factors of investor financial literacy and investor personality traits have the most effective role in investor behavior. Also, the factors of higher expected returns, rules and regulations, security, profitability, position and location of investment are the next effective priorities on the behavior of investors.

The role of the capital market is fundamental and decisive in the economy of all countries [6]. Studies show that in the capital market, prices are determined based on macroeco-nomic variables[2]. Accordingly, In this study is to provide a model for measuring the impact of economic policy uncertainty (EPU) on information asymmetryn.The research method is applied and has been made to present a model for measuring the effect of EPU on information asymmetry in the EVIEWS12 and MATLAB2021 software environment. The research time period is determined from 2011 to 2020 and 101 companies are selected based on the applied restrictions to estimate the model. In this study, 40 variables affecting EPU are entered into the According to the results of BMA, the most important variables affecting the EPU is provided[2]. Based on the principal components approach, the EPU index is calculated using the most important variables affecting this variable. Then, with the GARCH model, the uncertainty part of the EPU index is extracted, and finally, using the powerful nonlinear TVPFAVAR model, the shock caused by the EPU variable on the information asymmetry indices in the research period is analyzed. The results show that the shock caused by the fluctuation of the variable of EPU has increased the index of information asymmetry in recent years. Based on the results, EPU shock on the index of information asymmetry has had a stronger effect on in the short and long term information asymmetry than the medium term.