جستجوی مقالات مرتبط با کلیدواژه « performance evaluation » در نشریات گروه « علوم انسانی »

This article aims to evaluate the performance of the staff at the National Treasury following the implementation of an electronic fund request system. This evaluation is conducted using the Balanced Scorecard (BSC) approach.The research methodology employed is descriptive and applied in nature. The study’s statistical population comprises 53 experts, auditors, and managers from the National Treasury, who work at the Ministry of Economy and Assets. This group also includes the implementers and specialists of the electronic fund request system. These individuals were selected via a random sampling method. The validity of the questionnaires was determined using content validity, and the reliability was established with a Cronbach’s alpha coefficient of 0.883. The study’s findings suggest that the performance of the National Treasury staff, post-implementation of the electronic fund request system, is satisfactory when viewed through the lens of the Balanced Scorecard (BSC).The key criteria for evaluating the performance of the National Treasury staff are, in order of importance: empowerment (with the highest average rank of 3.25), culture and value (average rank of 3.20), quality of the training course (average rank of 2.97), satisfaction with professionalism (average rank of 2.84), and satisfaction with the work environment (average rank of 2.75).

Organisational Citizenship Behaviour (OCB) is one of the important concepts that has been used as an effective factor in the success of organisations in recent years. Despite the proven effect of OCB on the effectiveness and efficiency of the organisation, the appropriate method to determine the extent of its effect is less known. OCB is a qualitative indicator as an output in performance evaluation. In this article, we measure the effect of the OCB quality index on the efficiency of institutions using the envelopment analysis method of ordinal data without compensatory properties.

Data coverage analysis is a powerful tool for assessing the performance of decision-making institutions based on a large number of input and output indicators, which can be quantitative or qualitative. Data coverage analysis models have compensatory properties, i.e. the weakness of one index is covered by the strength of another, and efficient institutions do not necessarily have a favourable quality level. This article presents a new method for performance evaluation that includes the quality index of OCB and a modification of the data envelopment analysis model without compensability. Another feature of the proposed model is the ability to separate qualitative and quantitative indicators in the evaluation. In the presented method for ranking institutions, the improvement of quality is considered simultaneously with the reduction of costs without compensability.

In this study, ten public and applied scientific institutions in three cities of the country were evaluated with the proposed model. Four quantitative indicators and one qualitative index of OCB were used in the evaluation.

Originality/Value: 

The OCB index was measured using 1024 questionnaires and the results show the efficiency of 7 institutions. Then, by using the proposed new method, the ranking of institutions with logical results in performance evaluation was achieved. To validate the method, the results of the proposed method were compared with the ranking results of the hierarchical process method.

The banks are the most important financial institutions in the financial markets, which play a vital role in the growth of the economy and supporting businesses, and their financial performance is always important as a measure to measure the health and financial stability of banks. Therefore, the evaluation of financial performance in private banks is one of the important issues in the banking industry, and due to the importance of the relationship between financial leverage and financial performance, the purpose of this research is to identify and rank the capital structure index effective on the evaluation of financial performance in private banks. The statistical population of the current research is the experts of private banks who were selected by snowball sampling method. This study was conducted in two qualitative and quantitative phases and in the period of 2022-2024. In the qualitative phase, database theory and semi-structured interviews have been used to identify capital structure indicators. In the quantitative phase, the identified indicators were ranked using the fuzzy hierarchy technique and the paired comparison questionnaire. The results indicate that 13 indicators have been determined as capital structure indicators that are effective in evaluating the financial performance of private banks, after determining their weight with the fuzzy AHP method, the interest coverage ratio index has the first rank and the debt coverage index has the last rank.

In this research, we present a new model of balanced evaluation system in listed firms on the Tehran Stock Exchange. The Statistical analyses of the study were carried out based on the extracted data from 166 questionnaires of listed firms on the Tehran Stock Exchange during 2020. In this paper, Cochran Formula is used for sampling and since all CEOs, and financial managers of listed firms on the Stock Exchange were 688 people, the sample volume is 166 people. A questionnaire is used to collect the required information and evaluate the opinions of the statistical sample. The findings at 95% of confidence level show that based on the Kolmogorov-Smirnov test, the significance level of all variables of balanced evaluation (customer, internal processes, growth, learning, and finance) have been more than 0.05, and the result was normal. The structural equations indicate that it is possible to position the perspective (customer, internal processes, growth, learning, and finance) for designing and implementing the revised model of the balanced evaluation system in listed firms on the Tehran Stock Exchange. The results show that in a competitive environment whose main feature is the lack of resources, performance evaluation and management play very important role. the use of performance measurement systems is recommended. according to the results of the study, we recommend the managers of an organization pay more attention to productivity, training programs, and education level enhancement of the employees and try to improve the productivity.

The main axis of the armed forces is the command. Therefore, the commanders in the armed forces must have the main characteristics necessary for command. Based on this, evaluating their performance, especially based on jihadi management style, can provide the necessary feedback about their strengths and weaknesses and also improve their performance. Therefore, the general purpose of this research is to design and explain the performance evaluation model of the commander of the major ground forces of the Islamic Republic of Iran Army based on jihadi management, which two sub-goals were determined to achieve.

The method of collecting information is field and Library. The number of experts was 15 and the sample size was 54. This research is of applied type and was done with descriptive method in two stages: In the first stage, the dimensions were identified through the qualitative findings from the interviews and their coding using the content analysis method and Atlas T software version 8 in 6 steps. In the second stage, quantitative findings and interpretative structural approach were used in five steps to model the evaluation pattern.

The measured dimensions include: Jihadi spirit - personality - subsistence - command - specialized performance - foresight - interactions - follow-up - insight - security - productivity and employee satisfaction. the dimensions were categorized and classified in 5 levels.

Jihadi spirit was determined as the most effective and productivity, social interactions and employee satisfaction were determined as the most effective dimensions and Factor.

Considering that the performance of organizational entrepreneurship in small and medium-sized businesses faces different environmental conditions, it is not possible to use the same performance evaluation approach. The main issue in this research is; what variables are effective in evaluating organizational entrepreneurship performance in small and medium businesses and how can this performance be evaluated by designing a fuzzy expert model. This research is modeling in terms of practical purpose and method. In this research, the primary variables effective in evaluating organizational entrepreneurship performance were selected and the final variables were selected with the help of a group of industry experts using the fuzzy Delphi method and in two rounds. Mamdani fuzzy expert system and triangular membership functions were selected for input and output variables for modeling. The final input variables include the development of new products, job creation, new market creation, income level, market share, and the output variable of the model includes the levels of organizational entrepreneurship performance. After extracting the decision variables, using the fuzzy expert system, the five-level model was designed and validated.

In today's competitive arena, all organizations need an effective performance evaluation system, so as to be able to measure the efficiency and effectiveness of the organization, human resources and processes. On the other hand, Chipboard has many applications in the construction industry, including cabinets, bedding and furniture, wooden doors except to anti-theft doors. In this industry, wood waste is used, which can be very useful and constructive for the country's economy. Therefore, improving the performance of this industry is very important both in terms of improving the economy of country and in terms of the companies included in this industry

 In this article, using the balanced scorecard approach, indicators in four perspectives (growth and learning, customer, internal and financial processes) were compiled and using a questionnaire and non-parametric Wilcoxon test with a marked rank, 27 indicators were approved out of 46 indicators. Then, the TOPSIS method was used to rank the approved indicators

According to the research findings, the perspective of internal processes in chipboard industry is more important. Among the sub-criteria, the criteria of timely delivery of goods, compliance of employees' performance with regulations and instructions, service to the company's neighboring stakeholders and the level of employee satisfaction are very important in the performance of the chipboard industry.

One of the most powerful tools to improve the performance of human capital is performance appraisal, which is very important for university faculty members because of the impact of this group on various economic, social, political and cultural aspects of the country. Hence, the present study aimed to identify and prioritize the factors affecting the evaluation of faculty members using the fuzzy Delphi method. This study has a mixed methods research design with quantitative and qualitative sections, in an inductive paradigm, which is applied in terms of purpose and exploratory in terms of nature and method. The statistical population of the study consisted of faculty members of Lorestan University, 60 of whom were selected based on the principle of theoretical adequacy using purposive sampling. In the qualitative section, semi-structured interviews were carried out to collect the qualitative data, the validity and reliability of which were confirmed using the CVR coefficient and the Kappa-Cohen test. The data obtained from the interviews were analyzed using Atlas.ti software and coding method in which the factors affecting the evaluation of the faculty members' performance were identified. In the quantitative part, a fuzzy Delphi questionnaire was employed to collect the data, the validity and reliability of which were confirmed by content validity and retest. Additionally, using the fuzzy Delphi method, the identified factors were prioritized and the most important factors were identified. The results show that among the factors affecting the evaluation of faculty members, having original and well-cited research in their fields, observing scientific and professional ethics, being known nationally and internationally, having prominent contribution to the field, having a work in which the applicant proposes an idea and has a high share of its credit, and having scientific credibility and authority.

Due to the lack of comprehensive research in the country in order to provide a model to evaluate the performance of the audit committee, the present research has addressed this issue and a practical model for the use of the activities of the audit committee has been presented.

The research method used in the first stage of the research was extracting the dimensions, components and performance evaluation indicators of the audit committee from the theoretical sources of the research. Then, the fuzzy Delphi method was used to screen the indicators, and the best-worst (BWM) multi-criteria decision-making method was used to weight each dimension, component, and index.

The model obtained in the current research includes 3 parts of evaluating the individual characteristics of the members of the audit committee, evaluating the work processes and reporting of the audit committee, and evaluating its duties and responsibilities, and the final model includes 3 dimensions, 13 components and 78indicator.

According to the findings of the research, the important components in evaluating the performance of the audit committee are the audit committee meetings, the audit committee resources, communication with the board of directors, the audit committee charter, and monitoring of financial reporting. Also, the results showed that the working and reporting processes of the audit committee have the most weight in the evaluation of the audit committee's performance, and the evaluation of the audit committee meetings as the focus of the audit committee's activities is the most important among the evaluation components.

All people deal with numerous governmental agencies daily, to the extent that these governmental agencies have become part of people's lives. This reality is more evident in Iran due to the high volume of government activities and the so-called "big government." Governorates, headed by the governor, are responsible for implementing and overseeing government activities in each province separately. Therefore, given the high volume of public interaction with government agencies in Iranian society, the optimal performance of governorates in general and the governors themselves as the helmsmen of this governmental institution has become very important. Accordingly, the main issue that will lead to this study is the lack of existing awareness regarding the performance evaluation of governors. It is unclear on what basis governors' performance is evaluated and on what basis the rankings and results presented by statistical centers are based. Therefore, this study is conducted in two steps. In the first step, the performance evaluation model for governors is designed and modeled by identifying the components and indicators involved in it; in the second step, the extracted research model is validated.

Design/ methodology/ approach:  

The present research is based on the interpretive-positivist paradigm and a mixed approach, both qualitatively and quantitatively. Also, the strategy of this research is inductive. The qualitative study population in this research consists of all university professors in the field of public administration and strategic management, governors of the Islamic Republic of Iran government, and senior managers of the Ministry of Interior. To design the model for this research, interviews continued based on the snowball sampling method until theoretical saturation; therefore, the number of participants in this study has been 18 people. In this section, the statistical population consisted of experts knowledgeable about the subject, such as governors of the Islamic Republic of Iran government, deputies, and senior managers of governorates of the Islamic Republic of Iran government. Sampling was done using a non-probabilistic convenience method, and finally, 48 people from the target statistical population were determined as the research sample. In order to model the identified dimensions of performance evaluation, the opinions of experts who have had an active executive role were used, as these individuals have been closely involved in management activities at the macro-governmental level and have practical familiarity with performance evaluation processes. Another indicator in determining the sample size in this section was the accessibility to such experts, which ultimately led to 48 people being determined as the sample in this regard.

The analysis of data from the interviews ultimately led to the identification of 12 main categories as dimensions of governors' performance evaluation. In total, the dimensions of governors' performance evaluation were classified into five levels. Accordingly, geographical knowledge was considered the most influential factor, and stakeholder satisfaction, political participation, and productivity were considered the most affected factors. Given that significance levels less than 0.05 were obtained, consequently, non-parametric tests must be used. In this regard, structural equation modeling with a partial least squares approach is used. The average social capital shows that in the statistical population under study, this concept is not at a desirable level. Also, geographical knowledge and welfare development show above-average values, and the rest of the variables are at an average level.

Limitations & Consequences:

 Given the purpose of this study, access to experts who could help with the process of this study has been difficult.

Practical Consequences: 

The findings of this study provide the following suggestions for policymakers and country governorates to utilize:Periodic analysis of geographical areas of provinces using the SWOT matrix method to identify regional strengths and weaknesses as well as understand future opportunities and threats for targeting;Establishing a safety and health working group in governorates under the management of governors to identify health weaknesses at the provincial level and strive to solve these problems through planning and seeking advice from experts in this field at the provincial level;Government officials' efforts to use native governors in each province for better alignment with the region and better understanding of economic opportunities;

Innovation or value of the Article:

 The present study is the first study that presents a model for evaluating the performance of governors.

Evaluation of the performance of Non-Governmental Organizations (NGOs) is one of the main indicators in optimizing their management process. This article aims to assess the efficacy of welfare services and offer recommendations to managem​ent regarding their areas of improvement.The research methodology employed a combination of quantitative and qualitative approaches. Quantitative data have been collected by questionnaire survey and qualitative data by in-depth interview. The sample size for the survey research was comprised of 384 individuals, who were clients and service recipients of welfare services in Tehran and comprised the statistical population. The in-depth interview was attended by fifteen senior managers and specialists.The results indicated that welfare services achieved success solely in their non-professional domains; their professional endeavors were primarily hindered by inadequate funding, insufficient expertise and specialization, and inadequate knowledge. The performance analysis of welfare services using the performance-importance analysis model showed that the four areas of professional activity of them are in the waste of resources unit and require their transfer to the optimal performance sector.Welfare service-providing NGOs in Tehran have not achieved success. This requires the restoration of three parts of the process through the way they interact with the government; content is through specialization; performance improvement; and development with periodic evaluations

The main purpose of this research is to investigate the impact of perceived performance evaluation policies on their creativity with the role of moderator of political behavior.

The current research is descriptive survey-applied. The statistical population in this research is 264 managers and assistants of Central Bank of Iran. In this research, to measure performance evaluation policies from the standard policy questionnaire adopted from Poon's (2013) performance evaluation including 15 questions, for employee creativity from Torrance's standard questionnaire (1979) with 20 questions in 4 dimensions of fluidity, flexibility, innovation, expansion and for The political behavior of employees has been used from Dobrin's standard political behavior questionnaire (1978) including 15 questions in three dimensions of individual, managerial and organizational factors. Considering the non-normality of the data distribution, structural equation method and SMARTPLS3 software were used to test the research hypotheses.

The findings of this research show that employees' perception of performance evaluation policies has an effect on creativity with the moderating role of employees' political behavior. Also, the perceived policies of evaluating the performance of government employees have a significant impact on creativity, fluidity, elaboration of details, initiative and flexibility.

Based on the results of this research, government organizations can influence their creativity by managing employees' perceptions regarding performance evaluation policies. But it is necessary to pay attention to the moderating role of political behavior.