فهرست مطالب میترا موبد

This study examines the learning organization indexes among the employees of Ardakan University. The indicators are based on the five disciplines of learning organizations in Senge’s model; individual capabilities, mental models, building a shared vision, team learning and systems thinking. The statistical population of this research is 44 employees of Ardakan University, all of whom were questioned in this research. In order to carry out this research, first the learning organization questionnaire was prepared and after its validity was verified by experts, the reliability of the questionnaire was measured with Cronbach's alpha, and the value was 0.95. After completing the questionnaire by the employees, the data were entered into SPSS 26.0 software. First, the normality of the data was determined by using the skewness and kurtosis test. Then, based on the one sample T-test, it was confirmed that Ardakan University was in a favorable condition in terms of all the indicators of the learning organization; In other words, Ardakan University is considered a learning organization. Further, the results of the Friedman test also showed that the rank of each of these indicators is not the same, and the system thinking index has the best status and the team learning index has the worst status. Finally, according to the independent t-test and ANOVA, it was found that only the gender variable has a significant relationship with the learning organization.

The education system can fulfill its tasks when, in addition to quantity, it is also in good condition in terms of quality. On the other hand, due to national and global competition between universities and the fast growth of the number of them, these institutions are forced to increase their quality of services in order to become priority for the students and society. One of the important services of universities for students is their accommodation services in dormitories. Therefore, dormitory is an important part of universities as a second home and will replace the family for a group of students. A high quality and satisfaction of students from these services can help the academic progress, physical and mental health of students. In this paper, the quality of dormitory services of Ardakan University has been evaluated using the SERVQUAL model and analyzed by IPA. To achieve this goal, the data was collected using questionnaire from 145 students in Ardakan University by sequential sampling. Examining students' expectations and perceptions of the services and the gap between them has shown a negative gap in all aspects of service quality; the biggest gap for tangibles and the least one for assurance. Analysis of different aspects and questions in this research using IPA matrix showed the strengths, weaknesses and improvement priorities. The results of this study can be used in the evaluation and diagnosis of dormitory services of other universities, as well as Iran Tourism hotels.

One of the main missions of universities is to help the development and transformation of societies through education and research. In this regard, constructive interactions and communications between universities and local and global societies can help achieve this mission. Moreover, the university social responsibility (USR) helps universities be more connected with their environment in recognizing problems and also providing appropriate solutions. The main purpose of this paper is to identify and categorize the criteria for evaluating the effective relationship between the university and the society from the literature. The criteria identified from previous studies have been classified into seven main groups. The results can help to assess the current situation and prioritize the strategies of universities for more effective communication with society.

Agility as a new paradigm in today’s business showed the universities their need for adopting the changes and challenges. If universities cannot adopt changes rapidly, they will fail in competition and will be deleted during time or will not have their initial efficiency. In this paper, a model is presented to assess the importance and performance of different agility aspects. To analyze the results, after calculating the importance and performance of agility aspects, the IPA matrix is used to find the position of these aspects and the strengths and weaknesses of agility in university. This model as a case study is used in Ardakan University and the results are analyzed. To assess agility, a questionnaire is used and the opinions of faculty members and employees are gathered. The results showed that these two groups have not a significant difference. Analysis of the information about importance and performance of different agility aspects and their position in IPA matrix have been discussed. Finally, strengths, weaknesses and the subjects that don’t have priority for improvement have been analyzed and suggestions for managers are proposed.

In this research, a novel model is presented to optimize the periodic inspection for a complicated two-component system with dependent failures. In this model, the failures of the first and the second component are soft and hard, respectively. A soft failure of the first component does not have any impact on the second component, but a hard failure of the second component shocks the first component and increases its failure rate. A soft failure cannot be recognized before preventive maintenance. This component is inspected in specific periods and if it has a problem, it is repaired to become similar to a new one. Since a soft failure in the first component will increase the operational costs, in this study, in addition to the periodic inspections, the first component inspection is also carried out during the hard failure of the second component. A novel model is developed here to find the optimum inspection periods in order to minimize the costs of inspection, repair and penalty for delay in identifying the soft failures. A numerical experiment is used and the sensitivity analysis is performed to show the performance and efficiency of the developed model.

The current paper investigates and prioritizes the educational needs of Ardakan University staff in three fields: knowledge, skill and attitude. The research is an applied and descriptive survey. The statistical population is all the 48 personnell of Ardakan University and a questionnaire is used to gather the data. The validity of questionnaire is assessed using experts’ opinion. For testing reliability, a test run were done and Cronbach’s alpha was calculated. After filling the questionnaires, normality tests were done in the three fields of knowledge, skill and attitude. To find the educational needs, the gap between current state and the desired one was tested using parametric t test. The results show a statistical difference between the current state and the desired one in the fields of knowledge, skill and attitude. It means that personnel need some educational courses in these fields. Since the gap between current state and the desired one was significant, the three fields were prioritized.

By increasing the environmental consciousness, reverse supply chain is getting known in business theory and application. However, the high costs of implementing them is one of the important impediments for managers. In the current paper, a variant of vendor managed inventory is proposed for parallel reverse supply chains and the cost functions are compared with the non-collaborative and simple collaborative cases. In the non-collaborative case, different reverse supply chains are working in isolation and there is no sharing between them. The simple collaboration is possible when the members just share a collection center as a warehouse. The proposed collaboration is designed such that these members share their information with collection center and this center plans for collecting and transferring returns to the recovery centers in a way that less inventory is hold at that center.
To compare our model with the traditional and simple collaboration, the cost functions are defined for two parallel simple three tier reverse supply chains. In order to reflect the reverse supply chain uncertainties, probability distribution of the amount of returned products is considered at the cost functions. Then, the mathematical situation for superiority of the proposed model to non-collaborative and simple collaborative case is studied using these cost functions. Two mathematical non-equalities show these situations as the result of this part.
As this collaboration is not used in the reality, to compare the results in actual case, some illustrative examples are created by two different probability distributions for return generation. Finally, a Monte Carlo simulation technique is used for about 100 samples in1000 periods. The average costs for different components of cost function are calculated. Comparing the costs shows 48% decrease in shifting from non-collaborative to simple collaborative, 54% decrease in changing the non-collaborative case to the proposed model, and 11% decrease in changing the simple collaboration to proposed one. However, the results show a high decrease in costs of the model and its superiority to other two cases. The model can be expanded to broader and longer reverse supply chains by future researchers. Some other opportunities for study subjects are also introduced in the last section.

Manufacturing firms born like humans do and after some stages in their life, die in different ways. With this approach, death is inevitable and just can be delayed. One way to delay this event is having information about the factors influencing that. The purpose of this paper is to study the effects of some factors (like location, size and industrial group) in industrial firm's closure in Yazd province in the third development plan. Data used in this study is gathered from the Yazd Mining and Industry Department database. These are 1539 manufacturing firms that were started their work before 2000, the first year of the Third Development Plan. From these, 175 firms became closed during this period. To determine the effects of these factors, we use the probit regression technique. The results show that firm location (in or out of industrial zones) and firm size doesnt have any effect on closure probability. Moreover the closure probability of older firms is less than the younger counterparts.