جستجوی مقالات مرتبط با کلیدواژه "productivity" در نشریات گروه "علوم انسانی"

The structural and semantic relationship between the compound infinitive and the corresponding simple counterpart missing light verb is one of the topics of interest in the field of grammar and syntax of the Persian language.  This issue is generally based on the assumption that the light verb in the corresponding pair is omitted. This article aims to investigate the syntactic structure of the two constructions so as to evaluate the assumption of the omission of the light verb. Furthermore, it seeks to determine and explain the derivation of the two structures and their probable distinctiveness or correspondence. To this end, the Distributed Morphology approach is employed as the theoretical and analytical approach.  As the roots has no category at the beginning phase of the derivation, the dual or multiple behavior of the lexical units can be explained well. The findings suggest that the syntactic structure missing light verb cannot consider a derived form of the compound infinitive by losing the light verb, but the two constructions are completely different in terms of syntactic derivation. The compound infinitive has followed the steps of derivation according to the suggested pattern and acquires all the nominal-verbal characteristics. This is while the constructions lacking light verbs are actually nominal and of course without verbal characteristics. In this regard, we tried to explain the level of transparency and productivity of these two structures and how to take away the usage limitations through the context.

In Recent Decades, Attention To The Psychological Empowerment Of Employees In Educational Organizations In Order To Enhance Efficiency, Effectiveness, And Productivity Has Been A Significant Focus Of Many Researchers. Therefore, The Main Aim And Issue Under Investigation In This Study Is To Explore The Influential Components Affecting The Psychological Empowerment Of Teachers.

Given That This Research Can Inform Decision-Making Related To The Educational System, It Falls Under Applied Research. The Present Study Is Descriptive-Survey In Terms Of Method, Applied In Terms Of Purpose, Cross-Sectional In Terms Of Time Frame, And Quantitative In Terms Of Data Approach. Data Collection Was Conducted In The Field Using A Questionnaire. The Study Population Consisted Of Teachers In District 3 Of Qom, During The Academic Year 1402-1403, With A Sample Size Of 34 Teachers Selected Through Random Sampling. Statistical-Inferential Analysis Was Done Using Spss. The Research Hypotheses Examined The Factors Of Competence, Empowerment, Meaningful Work, And Feedback Based On Age, Education Level, Gender, And Work Experience.Research Tools: To Collect Data, The Spritzer And Mishra Psychological Empowerment Questionnaire Designed By Timornejad Et Al. (2010) Was Utilized. Supervised Training Was Provided To Ensure The Proper Administration Of The Questionnaires.The Data Collected Were Analyzed With A Reliability Coefficient Of 0.95, Indicating Sufficient Reliability For The Empowerment And Performance Assessment Tool.

After Preparing The Questionnaire, On The Day Of School Organization, Where Many Teachers Were Present For Organizing Schools In The Education Department Of District 3, Over 200 Questionnaires Were Distributed. Eventually, 150 Questionnaires Remained Blank, And 50 Completed Questionnaires Were Collected. Among These 50, 16 Were Incomplete And Unusable, Leaving A Total Of 34 Valid Questionnaires For Statistical Analysis. A Total Of 18 Women And 16 Men Responded To The Questionnaire.

Based On The Findings Of This Study, The Hypothesis Of A Significant Competence Difference Between Male And Female Employees In The Organization Is Rejected. The Second Hypothesis, Confirming A Significant And Positive Relationship Between Empowerment And Employee Effectiveness, Is Supported. The Third Hypothesis Indicating A Significant Trust Difference Related To The Age Variable Is Rejected. Moreover, The Fourth Hypothesis Stating A Significant Relationship Between Influential Variables, Autonomy, And Trust Is Confirmed. The Fifth Hypothesis, Indicating Independence Between Gender And Competence, Is Also Confirmed.

This research investigates the effect of financial health and macroeconomic indicators on the profitability, efficiency and productivity of Iran’s banks. The statistical population in this research is private and government banks listed on the Tehran Stock Exchange. For this purpose, 20 banks were studied during the period 2013-2021, using the panel data method. The results of the data analysis show that the capital adequacy ratio has a negative and significant effect on the efficiency of the studied banks. Conversely, the quality of the bank's assets, the quality of the bank's management, and the quality of the bank's liquidity have a positive and significant effect on the technical efficiency of the bank. Moreover, the results indicate that interest rate, inflation rate, exchange rate and GDP per capita, as macroeconomic indicators, have a positive and significant effect on the technical efficiency of the bank. Financial health indicators such as capital adequacy ratio, bank assets, bank management quality and liquidity quality have a positive and significant effect on bank profitability and productivity. Macroeconomic indicators such as interest rate, inflation rate, exchange rate and GDP per capita affect positively and significantly the bank's profitability and productivity, while the exchange rate shows a negative and significant effect.

Considering the nature and sensitivity of the current conditions of the country and the necessity of proper exploitation of available facilities and resources, the issue of productivity has been raised as one of the important elements in the development of national power and has been put on the agenda. Various models have been proposed in this field, and considering the necessity of building and exploiting local and Islamic models, the purpose of this research is to present a model of productivity based on the thought of the Supreme Leader Madzaleh Al-Ali. In this regard, this research is qualitative in terms of data type, in terms of applied purpose, and in terms of exploratory method, qualitative and thematic analysis. In order to achieve the model of productivity based on the thoughts of the Supreme Leader of the Islamic Revolution, the messages, statements and orders of His Holiness until the end of April 1403 by searching for the keyword of productivity in the website of the Office for the Preservation and Publication of the Works of Hazrat Ayat... Azami Khamenei (Madazala Al-Aali) was studied and coded. The findings of the research in the design of the model indicate that the model of productivity in the thought of Moazzam Leh includes 56 indicators, 5 management components, education and culture, energy management, human resources management, basic knowledge, in the form of profit drivers. Productivity and 3 production and service, economic and national components are in the form of productivity consequences.

The present research investigates the productivity of compound noun maker patterns in Persian language based on the theoretical framework of Plag (2003). For this purpose, the authors have extracted 1300 compound nouns from a corpus taken from Persian language database (PLDB). The method of the present research is descriptive-analytic and data collecting is corpus based. After the study of collected data of research, the authors have concluded that the only quantitative method for measuring the productivity of word formation processes introduced by Plag (2003) is to count the outputs of a word formation process. Also, the most productive compound noun maker pattern among compound noun maker patterns is (noun+noun). Moreover, different methods of measuring the productivity rate of compound noun maker patterns offer different results. Analysis of the extracted data from the research corpus shows that among the compound noun maker patterns in Persian, (noun + noun) pattern has the highest productivity and these patterns ( pronoun + noun / pronoun + stem of present verb / noun + imperative verb / number + number) have the lowest productivity.

In today's world, one of the most important factors of the country's economic development is improving the productivity of manufacturing industries. Identifying factors affecting the productivity of manufacturing industries and prioritizing them is effective in promoting productivity and can promise to achieve organizational and national productivity. The purpose of this research is to identify the effective factors in improving the productivity of manufacturing industries. The present research method is descriptive-survey and the data collection instrument is a questionnaire. In the first step, based on the review of the related literature, using a comparative method, and asking expert opinions, potential factors affecting the productivity of industries were identified and analyzed. Then, the factors were divided into four main categories and the selected factors were determined by using a questionnaire and incorporating the expert opinions. Then, the importance of the selected factors was determined using the Fuzzy SWARA decision-making method, and the final ranking of the selected industries of the province was done using the MOORA method. The results showed that the "profit margin", "ratio of sales to current assets" and " ratio of exports to sales" factors, respectively, have the highest importance and among the pharmaceutical and household appliances industries of the province that are present in the stock exchange. Caspian tamin company has the highest productivity with a productivity score of 0.437.

Teacher productivity is influenced by factors such as self-efficacy and perceived organizational support. This study examines the effect of these two factors in predicting the productivity of elementary school teachers in Kazerun city. The aim of this study was to predict productivity based on self-efficacy and perceived organizational support in elementary school teachers in Kazerun city.

The research method was a descriptive correlational type. The statistical population of this study is teachers in Kazerun city, of which 654 were male teachers and 1050 were female teachers. From among them, 300 were selected. The Cochran formula was used to obtain the sample size. Using the Morgan and Krejci table, 313 people were selected and 300 questionnaires were collected. The data collection tool was the Vatankhah et al. (2017) Support Questionnaire, the Teacher Self-Efficacy Scale of Shannon, Moran, and Woolfolk (2001), which previous researchers have reported to have good validity and reliability. SPSS 26 software and Pearson correlation coefficient and regression tests were used to analyze the data.

The results of the study showed that productivity has a significant relationship with self-efficacy and perceived organizational support of elementary school teachers in Kazerun city. The components of perceived organizational support can predict the productivity of elementary school teachers in Kazerun city. The components of self-efficacy can predict the productivity of elementary school teachers in Kazerun city.

Increasing self-efficacy and perceived organizational support can lead to improved productivity of elementary school teachers. This finding highlights the importance of strengthening organizational support and enhancing teachers' sense of self-efficacy as effective factors in increasing their educational performance.

Social loafing loafing and improving productivity during the last decade is one of the main and important issues and problems at the level of organizations and even governments. In this regard, this research was conducted with the aim of presenting a hierarchical model of improving the productivity of remote work organizations in electronic government with the approach of reducing social unemployment in Central Bank of J.A. This research was carried out using a mixed method (qualitativequantitative), which extracted 11 indicators of the desired model in the qualitative part by using content analysis and interviews with 20 academic and organizational experts in the field of productivity and social unemployment. Interpretive Structural Modeling (ISM) was used to obtain the model in the quantitative part. The statistical population in the quantitative section included 16 research experts. Data analysis to achieve an eight-level model where the most effective indicators of this model at the eighth level are efficient organizational culture and communication and transformational leadership of challenging groups and teams and the index of improving organizational responsiveness are the most effective variables of this model. Utilizing the results of the exploratory pattern model of this research can practically lead to the reduction of social unemployment in remote working organizations and at the same time bring productivity improvement in these organizations.

The main purpose of this article is to measure the efficiency of the multi-level sustainable supply network in Iran's transportation industry using a radial model in the envelopment analysis of network data with a double border and combining it with Malmquist index

The research method is based on operational research and presenting a new model based on the overlay analysis technique of network-oriented data. The desired model is built considering the unfavorable output indicators and the double border.

The findings showed that the presented model is able to evaluate the sustainable supply chain in the presence of favorable and unfavorable data. This model measures and evaluates three indicators of the sustainable supply chain of the industry including input, intermediate and final output sectors and by creating a double border. In addition, it evaluates this chain in the passenger sector of Iran's transportation industry and compared to similar models, it has an advantage in calculating the efficiency of the multi-level chain and combining it with Malmquist's efficiency index in optimistic and pessimistic states.

According to the obtained results, the efficiency of the transportation network of each province has been calculated according to the efficiency score in the desired years and the average period. Then, by combining the Malmquist index, the progress or regression of the transportation network's productivity has been investigated during a consecutive period of time. The results of this research can be used in the strategic planning of the transportation industry.

Financial development is one of the effective factors on economic growth in different countries. The relationship between financial development and economic growth is influenced by various parameters and the economic structure of countries. One of the factors that can affect this relationship is the natural resource abundance and the degree of dependence on them. According to economic literature, natural resource abundance can impact financial efficiency, capital accumulation, and the optimal allocation and effectiveness of financial resources, thereby influencing the relationship between financial development and economic growth in resource-rich countries. This study aims to explore the impact of natural resource abundance on the relationship between economic growth and financial development through productivity in Iran.

In order to investigate and empirically analyze the long-term and short-term dynamic relationship between variables, this research employs the Autoregressive Distributed Lag (ARDL) bounding test approach. The ARDL Bounding test method was developed by Pesaran and Shin (1999) and Pesaran et al. (2001). This method offers advantages over other conventional and previous cointegration methods, such as Johansen and Toda-Yamamoto approaches. Some advantages include applicability regardless of considering the order of cointegration between variables, its ability to handle cases where variables are I(0) or I(1), suitability for limited sample sizes, obtaining efficient estimates without risk of over-specification in long-run model relationships, and presenting a reduced form single-equation form rather than a systemic one for the long-run relationship.

Based on the results obtained from the research, financial development has not shown a significant impact on economic growth in Iran during the study period. This suggests that institutions and financial entities, particularly the banking system, have not effectively channeled financial resources towards productive investments and market stimulation. However, the abundance index of natural resources has demonstrated a positive and significant influence on economic growth.Considering the substantial portion of Iran's GDP that is attributed to oil revenues, such a finding is not unexpected. The per capita capital impact on economic growth is also positive and statistically significant. Among the effective factors on economic growth in this study, this variable has exerted the most considerable impact, indicating that capital plays a crucial role in boosting economic growth in Iran. Estimating the factors affecting total factor productivity (which is calculated using the Solow method) also indicates that financial development has had a positive impact on total factor productivity during the study period. However, the ultimate impact of financial development on productivity is influenced by oil revenues, as per the estimated model. The negative and significant coefficient of the interaction variable between financial development and  natural resource abundance suggests a negative effect of oil revenues on the relationship between financial development and productivity in Iran. This result could imply an indirect impact of resource abundance on the financial development-economic growth relationship through the productivity channel during the study period in Iran.Furthermore, it signifies that the heavy dependence on oil, one of the most vital avenues for economic growth, has eroded the relationship with financial development. Hence, the research hypothesis, suggesting that the abundance of natural resources (oil dependence) weakens the relationship between financial development and economic growth in Iran due to its negative impact on productivity, is validated, and the "resource curse" hypothesis is confirmed for the study period in Iran.

The results of this study indicate that financial development had a positive and significant impact on total factor productivity in Iran. However, ultimately, it did not have a significant impact on economic growth. This is due to the abundance of natural resources (oil revenues) leading to a reduction in the positive influence of financial development on total factor productivity. As a consequence, it weakens the relationship between financial development and economic growth during the examined period in Iran. Based on these findings, it is plausible to confirm the hypothesis of the "resource curse" during the examined period in Iran.The findings can encompass a set of policy recommendations for the Iranian economy. Firstly, the government should be aware of the indirect negative impact of oil dependence on the financial system and, consequently, on investment activities. It is logical for the government to maintain the degree of oil dependence at the lowest possible level, enhance economic diversification, and increase the contribution of other sectors to GDP growth. Additionally, the financial system should engage more in productive investment activities to strengthen its role in improving economic growth. In this regard, policymakers should pursue measures that facilitate improvement of banking intermediation efficiency.Furthermore, one of the most significant mechanisms of the resource curse in oil-dependent economies is the mismanagement of these resources and neglect of human development. Easy access to oil revenues might exempt the government from investing in human capital development, which could potentially have a negative impact on the performance of the financial sector and other sectors of the economy. Therefore, it is recommended that policymakers prioritize the necessary prerequisites for enhancing human development, which plays a crucial role in enhancing productivity and investment efficiency.

The productivity of skilled human resources is one of the key factors influencing the performance of construction projects, and neglecting this issue can result in irreparable damages to the projects. Low labor productivity is one of the fundamental challenges in the construction industry, as it has consistently been a cause of excessive increases in time and cost in construction projects. Research conducted on the risk factors affecting human resource productivity in projects has shortcomings, such as a lack of comprehensiveness in the risk identification process, failure to consider the interactions between risks, and the failure to account for risk factors and their impacts on productivity. Therefore, the purpose of this research is to identify the risk factors and the resulting risks, analyze, and prioritize them to manage critical risks more effectively.

This research is a case study, and the data collection tools include structured interviews and questionnaires. The first step of this research is to identify the productivity indicators of skilled human resources and the risks arising from these indicators. The process for completing this step includes a comprehensive review of the literature to identify the indicators and risks, followed by interviews with 10 experts in the field to verify the identified risks. In the second step, to analyze the risks, we first employ the fuzzy DEMATEL method to determine the causal relationships between system variables. Using the information obtained from this step, we apply the system dynamics approach to model the risks. After creating the stock-flow diagram and conducting simulations, we identify the sensitive and critical points of the system.

The results show that the risks of site execution interference, falling from height, unsafe operations, electrocution, non-compliance with plans and specifications, surface defects during execution, rework, machinery and equipment efficiency, communication and coordination, and material wastage are among the 10 key risks that contribute to decreased productivity in high-rise building projects.The results of the risk analysis indicate that the risks of 1) site execution interference, 2) rework, 3) communication and coordination, and 4) falling from height have the most significant impact on construction projects. The findings also reveal that the risk of site execution interference, if it occurs, could reduce productivity to 190 units of work completed per month, while rework could reduce productivity to 300 units. On the other hand, the risk of falling from height reduces productivity to 380 units, whereas communication-related risks maintain productivity at around 300 units. Therefore, as the greatest reduction in productivity is related to the risk of site execution interference, this risk is identified as the most critical in the system.

The model developed in this research has significant potential to assist construction managers in systematically evaluating the negative impacts of productivity risks. Project managers can use the findings of this research to focus more on key risks, such as site execution interference, rework, communication and coordination, and falling from height, managing these risks more effectively. By doing so, they can optimize the productivity of human resources, a critical issue in the construction industry. The advantage of this research for the construction industry is that it helps managers better understand the dynamics of productivity risks and, by restoring the connections between risks and breaking key interactions in feedback loops, stop the escalating impact of risks on one another.

The aim of the current research is to present a satisfactory working environment model in Mazandaran University with by using bibliometric method and topic analysis. This research is qualitative, fundamental in terms of purpose and exploratory in terms of nature. The current qualitative research was developed in two stages. In the first step, by using a systematic review and using the bibliometric method, the relevant and important keywords of satisfactory work environment were discovered and identified through searching in the Scopus database, and in the second step, from where the information was obtained. From the first stage was limited and inappropriate, a semi-structured private interview was conducted in order to accurately determine the components and pay attention to the working environment with local indicators. In this step, the data collection tool is semi-structured internal interview and the data analysis method is theme analysis. In order to carry out the research, 8 specialists and experts, including the faculty members of Mazandaran University and managers who have been in management affairs for at least the last 5 years, are selected by purposeful sampling and with the snowball technique, and after analyzing the resulting data, It is done by interviewing them. These people, 83 codes, 21 sub-topics in the form of 7 main structures including "background characteristics", "technical facilities", "psychological stimuli", "social abilities", "organizational requirements", "cultural requirements" and " "Spiritual values" were formed and at the end, a comprehensive model of a satisfactory work environment was drawn in Mazandaran University.