Search results

The purpose of this paper is to present an economic–statistical design (ESD) for the Bayesian X‾ control chart based on predictive distribution with two types of informative and noninformative prior distributions.

The design used in this study is based on determining the control chart of the predictive distribution and then its ESD. The new proposed cost model is presented by considering the conjugate and Jeffrey's prior distribution in calculating the expected total cycle time and expected cost per cycle, and finally, the optimal design parameters and related costs are compared with the fixed ratio sampling (FRS) mode.

Numerical results show decreases in costs in this Bayesian approach with both Jeffrey's and conjugate prior distribution compared to the FRS mode. This result shows that the Bayesian approach which is based on predictive density works better than the classical approach. Also, for the Bayesian approach, however, there is no significant difference between the results of using Jeffrey's and conjugate prior distributions. Using sensitivity analysis, the effect of cost parameters and shock model parameters and deviation from the mean on the optimal values of design parameters and related costs have been investigated and discussed.

This research adds to the body of knowledge related to quality control of process monitoring systems. This paper may be of particular interest to quality system practitioners for whom the effect of the prior distribution of parameters on the quality characteristic distribution is important.

economic statistical design (ESD) of Bayesian control charts based on predictive distribution is presented for the first time.

The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (X ‾) control chart under Weibull failure properties with the Linex asymmetric loss function. The authors have expressed the probability of type II error (β) as the statistical objective and the expected cost as the economic objective.

The design used in this study is based on a double-objective economic statistical design of (X ‾) control chart with Weibull shock model via applying Banerjee and Rahim's model for non-uniform and uniform schemes with Linex asymmetric loss function. The results in the least average cost and β in uniform and non-uniform schemes by Linex loss function, compared with the same schemes without loss function.

Numerical results indicate that it is not possible to reduce the second type of error and costs at the same time, which means that by reducing the second type of error, the cost increases, and by reducing the cost, the second type of error increases, both of which are very important. Obtained based on the needs of the industry and which one has more priority has the right to choose. These designs define a Pareto optimal front of solutions that increase the flexibility and adaptability of the X ‾ control chart in practice. When the authors use non-uniform schemes instead of uniform schemes, the average cost per unit time decreases by an average and when the authors apply loss function, the average cost per unit time increases by an average. Also, this quantity for double-objective schemes with loss function compared to without loss function schemes in cases uniform and non-uniform increases. The reason for this result is that the model underestimated the costs before using the loss function.

This research adds to the body of knowledge related to flexibility in process quality control. This article may be of interest to quality systems experts in factories where the choice between cost reduction and statistical factor reduction can affect the production process.

The cost functions for double-objective uniform and non-uniform sampling schemes with the Weibull shock model based on the Linex loss function are presented for the first time.

The purpose of this paper is to introduce chatbot as a new tool of artificial intelligence (AI) and represent the feasibility of using it in different sections of libraries.

The present paper is a theoretical paper that was conducted by the library research method. In this paper, while reviewing various articles in the field of a chatbot, has been tried to identify practical usage of chatbot in library and information centers and also illustrate it.

Findings show that although chatbot is used in some libraries, but this use is limited. Libraries must use the capabilities of this powerful tool for their own purposes and provide the satisfaction of their users. In addition to the benefits of a chatbot, there are some challenges that should be considered by librarians.

Few articles have addressed the usage of AI tools such as chatbot in libraries. So, this paper is one of the few articles that express the usage of chatbot in different sections of the library and gives practical examples of their usage in some libraries, mentions the challenges ahead of librarians in the face of this technology.

The purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning.

In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software.

Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development.

This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.

This study aims to assess the effect of knowledge management (KM) development and emotional intelligence (EI) on the productivity of librarians regarding the mediating role of job motivation (JM) and job feedback (JF).

This study was carried out in two phases. First, the variables affecting the productivity of librarians were identified and selected through an explorative study and by surveying their opinions. Then, the theoretically designed model was administered to 312 librarians at Iranian public libraries. A questionnaire was used to collect data, and the structural equation modelling technique was used to analyse data.

The results of this study showed that KM and EI, mediated by JM and JF, had a positive and significant effect on developing the librarians’ productivity. The results also revealed that JF had a positive effect on JM and that JF was more effective on productivity than JM. This study marginally proved the direct effect of KM and EI on productivity where KM was more effective than EI on productivity. Knowing the effects of organizational and individual factors on the higher productivity of librarians in public libraries will help library managers make more efficient use of those factors in developing the capabilities of librarians and enhancing productivity.

This study is one of the few studies of its kind that facilitates the perception of the concept of productivity in public libraries and also the assessment of the effects of organizational and individual factors on the librarians’ productivity.

This paper aims to present the most influential factors on classroom indoor PM_2.5 (Particulate Matter < 2.5 µ), determining the level of PM_2.5 concentration in five pre-schools located in the most densely populated district of the Tehran metropolitan area (district 6) as a case study to consider the children's exposure to air pollutants and introducing a suitable model, for the first time, to predict PM_2.5 concentration changes, inside pre-schools.

Indoor and outdoor classes PM_2.5 concentrations were measured using two DUSTTRAK direct-reading instruments. Additional class status information was also recorded; concurrently, urban PM_2.5 concentrations and meteorological data were obtained from the fixed monitoring stations and Meteorological Organization. Then, the predicted concentrations of the indoor PM_2.5, from introduced multiple linear regression model via SPSS, compared with the nearest urban air pollution monitoring stations data.

The average outdoor PM_2.5 concentration (43 ± 0.32 µg m⁻³) was higher than the mean indoor (32 ± 0. 21 µg m⁻³), and both were significantly (p < 0.001) surpassing the 24-h EPA standard level. The indoor PM_2.5 concentrations had the highest level in the autumn (48.7 µg m⁻³) and significantly correlated with the outdoor PM_2.5 (r = 0.94, p < 0.001), the number of pupils, ambient temperature, wind speed, wind direction and open area of the doors and windows (p < 0.001). These parameters, as the main determinants, have led to present a 7-variable regression model, with R² = 0.705, which can predict PM_2.5 concentrations in the pre-school classes with more than 80% accuracy. It can be presumed that the penetration of outdoor PM_2.5 was the main source of indoor PM_2.5 concentrations.

This study faced several limitations, such as accessibility to classrooms, and limitations in technicians' numbers, leading to researchers monitoring indoor and outdoor PM concentrations in schools once a week. Additionally, regarding logistical limitations to using monitoring instruments in pre-schools simultaneously, correction factors by running the instruments were applied to obtain comparable measurements.

The author hereby declares that this submission is his own work and to the best of its knowledge it contains no materials previously published or written by another person.

The present research aims to compare information-seeking behaviour of ordinary and elite saffron farmers in Iran.

The study sample consisted of 375 saffron farmers (295 ordinary and 80 elite saffron farmers) selected using the cluster sampling method. Data were collected by a kind of researcher-made questionnaire.

The results showed saffron onion, pesticides, cultivators and farmland worker were the main components of saffron farmers’ information-seeking behaviour of both groups. The most important sources of information for both groups included reference to past experience, neighbouring saffron farmers, contact with informants and other family members. The main criteria which affected the behaviour of the two groups on the use of information sources were provided information in local language, native people, clear and intelligible information and low cost. Farmers were also confronted with common problems such as lack of attention to the needs of farmers and insufficient number of technical experts. It was also found that there was no significant relationship between information-seeking behaviour of elite and ordinary saffron farmers and their performance.

Saffron is one of the most important agricultural export products in Iran, and this paper is the first research in this subject. The results can help develop information-seeking behaviour of farmers.

The purpose of this study was to investigate the views of librarians in Iran academic libraries about the extent of their familiarity, application and knowledge of the cloud computing in libraries.

This was a survey research. The statistical population of research consisted of librarians working in five universities in northeastern Iran. The sample (83 librarian) selected by using random sampling method.

The findings showed that in 2019 librarians familiar with cloud computing was low, but their use of cloud computing services was moderate. Also the findings showed that the item of providing enough computers in the library had the lowest effect on promoting the use of cloud computing and the items. Cloud computing training for librarians and users and broadband Internet were best strategies offered by librarians to promote the use of cloud computing.

Cloud computing has received less attention from librarians and researchers. However, based on the results of the present study, the broader use of cloud computing in libraries requires specialized and trained staff. Librarians need to broaden their knowledge in this technology.

The Internet has attracted many of society's children and teens and it has become important for parents to be aware of reputable websites and the criteria for studying these. The purpose of this paper is to examine the condition of Persian websites for children and teenagers in terms of site support, design, contents, and promotion, and also examine the differences in websites which are supported by the government.

The methodology was based on the criteria of the American Library Association's Association for Library Services to Children's “Great websites for kids.” In total, 18 Persian websites were examined, which were found in the first ten pages of a Google search, by different kinds of search.

The obtained results indicated that there was a lack of standards in designing children's websites, demonstrating that it is necessary to ask children, librarians, computer specialists, child psychologists, and teachers to improve websites geared to children and teenagers.

The paper shows that it is important to focus on standard solutions for website designs that take into account the special needs of children.

The purpose of this paper is to study the research experience of PhD students of Ferdowsi University of Mashhad and factors influencing this experience.

The information was gathered through a questionnaire which has been developed based on PREQ questionnaire. The statistical populations of this study consist of those PhD students whose research proposal had been approved by the educational council of their faculty or had defended their dissertation. By using random sampling method, 118 questionnaires were collected.

The findings showed that there is a significant relationship between all of the research experience factors and significant differences between overall satisfactions of the students on their research experience. Variables such as sex and different stages of research have positive and significant impact on the research experience of the respondents.

The outcomes of this study suggest that among the PhD students of Ferdowsi University, there is a relative satisfaction with factors making up the research experience.