نشریه اکتشاف و پردازش هوشمند دانش
پیاپی 11 (زمستان 1402)

One of the structural factors in any organization is human resource management. Human power is the greatest asset of any organization in terms of having the power of thought, creativity and innovation. Performance evaluation is a method through which the process of identifying, observing, measuring and improving human performance in organizations is carried out. Some of the most important factors affecting the evaluation of employees' performance are: type of job, employee behavior, management method and determination of minimum salary. The basic purpose of using performance appraisal is to maximize productivity by identifying and capitalizing on employee strengths.A good performance evaluation system should have five features, which include simplicity and comprehensibility, especially from the perspective of the organization's employees, fairness, objectivity, openness, and usefulness. The purpose of the article is to determine indicators and models to evaluate employee performance and to determine the effect of a fuzzy decision support system on employee performance evaluation. Statistical Society; He is a social security employee of Mashhad city. Using data mining technology, we extracted human resource information from multiple databases about the status of the organization's personnel, then using the fuzzy evaluator model and the data extracted from the database, we were able to identify the types of forces and employees in the organization. Based on the features, it discovers and also determines what kind of features an employee belongs to​

information technology has increasingly affected higher education. The use of e-learning technology has improved students' flexibility and increased learning output. The purpose of this research is to investigate the factors affecting students' willingness to continue using electronic learning systems. In terms of the purpose of this research, it is an applied-theoretical research, and in terms of how to obtain data, it is a descriptive-correlation research. To collect data, the field method and the tools of developed questionnaires measured with a 5-point Likert scale were used. The statistical population of the present study was the students of the universities of Sari city who have used the electronic learning system. Using targeted non-random sampling method, 384 people were selected as a sample and the questionnaire was distributed among them. The validity of the questionnaire has been confirmed through content validity, convergent and divergent validity, and its reliability through Cronbach's alpha. Also, descriptive statistics related to the data collected through SPSS software and analytical statistics were analyzed through structural equation modeling method (partial least squares) and using SmartPLS software. The most important innovative aspect of this research is adding the factors of content quality and enjoyment to the base model. The results showed that the parameters of content quality, perceived usefulness, confirmation, enjoyment, goal compatibility, incentives and satisfaction have a positive and significant effect on students' willingness to continue using electronic learning systems. The results of this research help university officials and managers to increase the frequent use of electronic education system among students.

Today, customer satisfaction and retention in service industries such as the banking industry is essential for the continuation of the activities of organizations and is considered as a strategy for creating a competitive advantage. Therefore, the purpose of this present study was to investigate impact of Customer relationship management on customer satisfaction with the mediating role of brand equity. The present study is of a survey type in terms of practical purpose, in terms of descriptive method and in terms of the way of collecting study data. The statistical population in this study includes the customers of Bank Mellat branches in Mashhad (N = 488). The statistical sample of the study was selected from among customers by simple random sampling method, according to Cochran's formula, the number of samples was equal to 277 people. In order to collect information, measure and test the study variables, three questionnaires were used. To measure the variable of customer relationship management, the standard questionnaire of Morgan and Hunt was used, and to measure the variable of customer satisfaction, the standard questionnaire of the model of Lee and Torin was used. And to measure the brand equity variable, Delgado standard questionnaire was used. The content validity of the questionnaire was confirmed by experts, the structure validity of the questionnaire was confirmed by factor analysis and the reliability of the questionnaire variables using Cronbach's alpha coefficient. In the present study, Data were analyzed using SPSS 24 and Smart PLS 2 softwares and structural equation modeling method. The results indicated that customer relationship management has a positive and significant effect on customer satisfaction and brand equity. The effect of brand equity on customer satisfaction is also positive and significant. Also, considering that the indirect effect of customer relationship management on customer satisfaction was significant, as a result, the mediating role of brand equity in the relationship between customer relationship management and customer satisfaction was confirmed.

 This research was conducted with the aim of investigating the impact of effective factors on the support of online sales websites with regard to the role of customer experiential value. This research is applied in terms of purpose and correlational and descriptive research in terms of method. The statistical population of this research is the customers of Iliya online store in Mashhad (720 people) and non-random sampling method is available. In order to determine the minimum sample size, considering the number of customers, Cochran's formula has been used for the known population, whose number is 251 people at the 5% error level. The data collection tool is a standard 32-question questionnaire. In order to check validity, content and construct validity (convergent validity, divergent validity using Fornell-Larker index, divergent validity using HTMT ratio index and confirmatory factor analysis) and reliability (Cronbach's alpha coefficient, combined reliability coefficient) were used. They were confirmed. In order to analyze the data, descriptive statistics were calculated using SPSS software, and at the inferential level and to check the hypotheses, structural equation model method was used using Smart-PLS software. The results of hypothesis analysis showed that interaction and similarity affect the experiential value of online store customers. Also, the experiential value affects engagement on the site. Being involved in the site also affects the attitude towards the site and the intention to support, and the attitude towards the site also has a positive and significant effect on the intention to support.

E-commerce is one of the subjects that has been greatly appreciated in recent years. With the rapid growth of e-commerce, exchanges and transactions through information technology tools and methods have increased dramatically. This research has been conducted with the aim of investigating the effect of effective factors on the purchasing behavior of customers in electronic commerce exchanges (digital goods). The current research is descriptive-survey in terms of its nature and research method, and it is an applied type of research in terms of its purpose. The statistical population of this research is all customers of Digikala online store. 380 people were selected as a sample using Cochran's formula. In order to obtain the information needed for the research by using a questionnaire, the necessary action was taken to collect the necessary information to achieve the objectives of the research. Finally, the data obtained from the sample study is analyzed by SPSS and PLS software. The results of this research showed that the factors of convenience and access, psychology, trust, payment method and variety of products on the buying behavior of customers and the intensity of this effect is equal to 0.286, 0.189, 0.245, 0.113 and 0.775. In this regard, product variety, convenience, accessibility and trust have the greatest impact.

This paper presents a novel image cryptosystem using a specific feature of boundary elementary cellular automata with permutation-diffusion architecture. The characteristics of some periodic boundary elementary cellular automata (CAs) with the length of 8 have been studied over the past years. The State-transition diagram shows that some elementary cellular automata (ECA) rule lead to some state attractors that are suitable to use to implement an encrypting function in order to transform the pixels’ values while meeting the basic requirements of the encryption scheme. Minimizing computational overhead, the production of these attractors could be done by using an initial global state of the CA solely, and the implementation of which needs no extra hardware cost. Correspondingly, the proposed new image cryptosystem includes an encryption method based on both permutations of the image pixels and the replacement of the pixel values. The permutation method is optional and can be done by every permutation algorithm. Simulation results revealed this fact that the proposed CA-based image cryptosystem shows strong performance in terms of encryption and decryption. The outstanding characteristics of the proposed image encryption method are as follows: lossless and symmetric private key encryption, low data expansion, the possibility of encryption when there is more than one image with the use of just one key image, large keyspace, and checking data integrity.