نشریه اکتشاف و پردازش هوشمند دانش
پیاپی 9 (تابستان 1402)

The increasing growth and development of banking services in the electronic banking space, as well as the willingness and acceptance of bank customers to use non-face-to-face platforms and portals, have made banks and financial institutions think to expand the platforms needed to provide electronic banking services. . The presentation and introduction of numerous and emerging services of banks in this field, and as a result, the lack of sufficient knowledge of customers to use safe methods and platforms has led to the abuse of fraudsters and brought irreparable losses to customers and banks. Therefore, the main concern of banks is to create security and maintain safe privacy for customers. Also, the accuracy and speed of action in detecting fraud is of particular importance for banks and financial institutions, providing an efficient and effective model while protecting the interests of banks can reduce operating costs and increase the credibility and satisfaction of customers.Generally, fraud detection models follow two types of methods 1- customer behavior history 2- defined frameworks for fraud detection. In this research, in addition to using the usual methods, we tried to detect fraud by introducing a new model in the form of reasoning and mathematical logic. Therefore, to compare the results of the research, we have used a data set on which previous research has been done to detect fraud, which includes the set of online transactions in African banks. In this research, we have processed and analyzed the data by using the principles and rules of interval neutrospheric logic, then we have implemented the proposed model using the widely used CART decision tree algorithm in the Python programming environment to detect fraud.

E-commerce is a method of buying and selling goods and services online. The definition of ecommerce business can also include tactics like affiliate marketing. You can use ecommerce channels such as your own website, an established selling website like Amazon, or social media to drive online sales.so E-commerce, also known as Internet business, refers to buying and selling goods using the Internet and transferring money and information to carry out electronic transactions. E-commerce establishes and improves relationships between organizations, manufacturers, distributors, and customers. However, it should be noted that success in e-commerce depends on determining the effective factors in e-commerce. There are a set of internal and external factors in e-commerce that should be considered. In this research, a model and framework has been proposed to determine the factors affecting the success of e-commerce. Structural equations with partial least squares were used to check and test the proposed model. The results obtained based on the data collected from thirty nine experts, twenty seven senior experts, sixteenmiddle managers and four CEOs of the administrative organization, showed that customer satisfaction, the amount of costs, infrastructure and knowledge and awareness are effective factors that have a significant impact on success. They have e-commerce.

Global epidemic crises, such as the corona virus (COVID-19), usually expose small and medium-sized enterprises (SMEs) to various types of challenges and may threaten their lives. Small and medium enterprises contribute to the economy of the country, it is an income opportunity for the society and it creates job opportunities for the youth, women and the whole society. The purpose of this research is to investigate the impact of dynamic capabilities and innovation on competitive advantage and evaluation of digital marketing strategy for small and medium-sized enterprises in the food industry in the post-corona period in Mashhad using the structural equation method. The statistical sample includes 250 food industry companies in Mashhad; which were selected using available sampling method. This research is applied in terms of purpose and descriptive and correlational in terms of data collection. To analyze the data, the structural equation model for the whole model, the PLS measurement model, the correlation test, the comparison of the average of a group and the comparison of two independent populations have been used. The results of this study confirmed that the methods of dynamic capability and its dimensions in small and medium food industry companies in achieving competitive advantage have a positive and significant effect on the business performance of this company. From the results of the analysis, it was found that digital marketing has an effective role in reaching customers and marketing products electronically, in addition, social media platforms were one of the most effective tools in food industry companies. The SME sector is one of the most important sectors that supports Iran's economy due to its daily activities, job opportunities and quick financial exchange.

This study seeks to investigate the combined effect of tourism and service quality on tourist satisfaction and loyalty to tourism destination. The statistical population of the study is tourists in Isfahan, Iran. Since the statistical population of the research is unlimited, the number of statistical samples based on Cochran's formula in an unlimited population is 384 people. Questionnaires were also distributed randomly based on the available sampling method. Data were collected through a questionnaire whose validity was confirmed by professors and experts and its reliability was confirmed by Cronbach's alpha test. Then, based on the obtained data, in order to check the proper fit of the conceptual model, confirmatory factor analysis and to test the hypotheses, the method of structural equations using LISREL software was used, which showed the acceptance of research hypotheses. In other words, at the level of 95% confidence of the tourism mix, it is effective on tourist satisfaction and loyalty to the tourist destination in Isfahan. Also, the quality of services is effective on tourists' satisfaction and loyalty to the tourist destination in Isfahan. Other findings of the study indicate the effect of tourist satisfaction on loyalty to the tourist destination.Keywords: tourism mix, service quality, tourist satisfaction, loyalty to tourism destinations

Moving from an industrial society to an information-based society has transformed homes from a place of rest to the central hub of human life. Due to rapid technological advancements and changing resident needs and priorities, humanity is facing the emergence of smart homes. Smart homes aim to address contemporary human needs using advanced technology and innovative design solutions to adapt to changing lifestyles. Smart home design involves combining a Virtual Space (VS) with an Ambient Intelligence Space (AmI-S) alongside a Physical Space (PS), where technology management plays a pivotal role. The primary objective of this research is to investigate the impact of technology on people's activities and subsequently design smart homes as the living spaces of the future. The current research method is descriptive-analytical, utilizing library studies and content analysis to develop a conceptual model. Throughout the research process, the effects of introducing novel technology on residents' activities and interior spaces are examined, and finally, solutions are proposed to harmonize primary residential spaces with the conditions resulting from smartification. The results demonstrate that smartification contributes to enhancing the quality of future housing industries, as it aligns with complex activities and evolving technologies. Smartification brings about changes such as intelligent interior spatial reorganization, spatial flexibility, and space-saving measures, and the resulting technological development significantly impacts activities and spaces within the three primary home areas (private, semi-private, and public spaces).

In the current era, organizations are increasingly facing dynamic and changing environments, so in order to survive and dynamism, they have to adapt themselves to environmental changes. In other words, according to the accelerating pace of scientific, technological, and social developments, successful and efficient organizations are considered to be able to predict the path of changes and transformations in the future in addition to coordinating with the developments of today's society. On the other hand, in today's highly competitive business, organizations are competing to attract customers and try to retain them, and to achieve this, organizations put improving relations with current and potential customers at the top of their policies.Therefore, this article deals with the impact of organizational innovation and effectiveness on audience loyalty in public media. The research method was descriptive-correlation. The statistical population consisted of employees of one of the provincial media (220 people) and its contacts who live in the center of the province. The sample size of employees was 140 people and the sample size of contacts was 384 people. For this purpose, questionnaires of organizational effectiveness of Parsons (1990), organizational innovation of Choupani et al. (2011) and customer loyalty of Zahir et al. (2011) were used to collect information.After collecting information, to analyze data from descriptive statistics, statistical methods of multivariate regression analysis using SPSS software. and structural equation modeling using SmartPLS software. used. The findings showed that organizational effectiveness and innovation have a significant effect on audience loyalty with 95% confidence.