درخت حوزه‌های تخصصی

It has been proved that in the era of globalization and the development of information technologies, the need to optimize the supply chain of services increases, since the integration of participants in this chain is performed without the use of modern management information systems. In the paper, with the help of logic-cognitive, structural-functional methods, structural-logical and imitation modelling, a management approach to simulation of business interaction in the integration of enterprises with elements of ERP-system and CBIP is developed and proposed, which allows you to create a flexible, adaptive and secure IT infrastructure , which increases the efficiency of the enterprise and allows you to optimize the management of relations with other participants in the service supply chain. As a result of this application of modern supply chain management systems, a synergistic effect is achieved that allows you to minimize the number of technological operations, shorten the production cycle and reduce the cost of services both for each individual enterprise and in the service supply chain as a whole.

Learning effective segment depictions and resemblance measures are fundamental to the recuperation execution of a substance based picture recuperation (CBIR) structure. Regardless of wide research tries for a significant long time, it stays one of the most testing open gives that broadly impedes the achievements of real-world CBIR structures. The key test has been credited to the extraordinary "semantic hole" subject that happens between low-level photo pixels got by technologies and raised close semantic thoughts saw by a human. Among various techniques, AI has been successfully analyzed as a possible course to interface the semantic gap in the whole deal. Impelled by late triumphs of significant learning techniques for PC vision and various applications, in this paper, we try to address an open issue: if significant learning is a longing for spreading over the semantic gap in CBIR and how much updates in CBIR endeavors can be cultivated by exploring the front line significant learning methodology for learning feature depictions and likeness measures. Specifically, we explore a structure of significant learning with application to CBIR assignments with a wide game plan of definite examinations by investigating front line significant learning methodologies for CBIR endeavors under moved settings. From our exploratory examinations, we find some encouraging results and compress some huge bits of information for upcoming research.

Buying online is a trend especially for young customers aged less than 30 years old. A lot of studies have been conducted to investigate this phenomenon but hitherto no cohesive model has been established. Therefore, the present study is meant to investigate online shopping factors that contribute to customers’ purchase decision. Five factors were identified to have potential influence on online purchase decision and one factor is expected to be a mediator to affect the relationship. From 384 data collected from online customers who visited popular online shopping sites, it was found that all five factors (perceived convenience, perceived risk, perceived competence, perceived benevolence, and perceived integrity) lead to trust and at the same time trust acts as a quasi mediator to affect the relationship between these factors and online purchase decision. The findings provide the actively sought after evidence to support the claims on the role of these factors in affecting online purchase decision. Online businesses should incorporate the findings in order to facilitate customers’ decision making process while visiting their websites. The websites must contain or portray all the elements as found in this study.

This study focuses on the consumer experience of telecommunications service quality in Malaysia. Malaysia's penetration rate has gone over 100 percent, meaning that each person in Malaysia has at least one account registered with the telecommunications provider. Telecommunications industry competition is becoming fierce as there is a limited market available to share among the industry players. This study used a quantitative approach, using a questionnaire to collect data through random sampling. One hundred and fifty available respondents received, using SEM-PLS analysis. Results indicate that customers are more concerned with service quality and trust than brand image and price. Brand image and price did not impact consumer loyalty. One of the critical factors is that the facilities and packages provided are approximately the same price ranges for almost similar coverage areas. The service provider will use the outcome for their ongoing long-term plan.

The purpose of this study is to explore and determinants the risk management and prevention in credit card business of Malaysian commercial banks. There were five factors derived through the literature and experimental investigation that are affecting the banks due to credit card which are External Fraud Risk, Internal Operational Risk, Credit Risk of Cardholders, Science and Technology and Intermediary Agency Trades Risk. Hence, 250 respondents participated in this study from state of Selangor and Federal Capital Kuala Lumpur. The data was collected and analyzed by SPPS software and it was concluded that that External fraud risk, Internal operational risk, Credit risk of Cardholder, Science and technology are positively correlated with the Credit card business risks of commercial Banks in Malaysia. These papers have highlighted suggestion for future research to develop this study further by considering the data derived from this study by using Delphi Technique

The purpose of this paper is to measure the relationship between the functional service recovery and technical service recovery towards customer satisfaction in banking industry. Both functional and technical is equally important in service quality especially in service recovery. The competition among the banking industry especially in major cities in Malaysia is very crucial. The study was conducted in Kuala Lumpur based on the top 10 banks based on the market share. 250 questionnaire distributed but only 212 were usable for the data analysis. The results indicated that both functional and technical service recovery plays important role towards customer satisfaction. Banking services or any financial institution should have focused on both elements in order to provide excellent services that may contribute to customer satisfaction and in the long term lead to customer loyalty

The article considers the main aspects of using the tools of the system organization of logistics flow management in the field of tourism, in terms of digitalization of logistics services. The research is based on experience in the transformation of the tourist product, it is perception by consumers, modern technologies, digital channels and logistics tools. The analysis showed that the organization of tourism based on a systematic approach, when service providers, tour operators, travel agencies and end users are elements of a single information system. The essential features of tourism logistics considered, basic tactics and tools related to the concept of digital logistics service. It established that digital tools of logistics services implemented with the identification of the main tourist services: food, accommodation, transportation, sightseeing, shopping, recreation and entertainment, education, management and research.

Like almost all the world countries, Algeria is experiencing an exceptional state characterized by a real epidemic of Coronavirus (covid19), which has prompted all institutions (establishments, businesses, businesses, and people) precautions to curb the risks of this pandemic. To this end, the higher education sector has called on the entire university teacher and student community to turn to e-learning to ensure continuity of courses and TD. Our paper is in line with this, with a fundamental objective to analyze university teachers' behavior concerning new information and communication technologies during the health crisis of covid-19. Thus, to shed light on the main handicaps related to online learning in Algeria.

Opportunistic networks in the Internet of Things (IoT) scenario, also known as OppIoT, espouse IoT devices interactions opportunistically in order to improve connectivity, the lifetime of the network, and network reliability. An increase in opportunistic utilization is fostered by IoT applications to find communication opportunities whenever possible to route and deliver data efficiently. In this opportunistic scenario, devising an efficient path for data delivery is a challenging work due to uncertainty in the connection between the nodes and the selection of intermediate forwarder nodes for data delivery towards the destination. Considering the scenario of uncertainty in device location and exploiting IoT devices opportunistically, this paper propounds a routing algorithm for OppIoT called Hybrid Multi-Copy Routing Algorithm (HMCRA). The proposed algorithm finds potential forwarder nodes by using fuzzy logic wherein residual energy, distance, and speed of the nodes are considered as input values while preparing fuzzy rules. Genetic Algorithm (GA) is considered along with fuzzy logic to select an efficient path for data delivery. In GA, the delay is taken as the fitness function to select a reliable path for data delivery. Simulation results of the proposed algorithm perform well in contrast with relative existing routing algorithms with respect to latency, overhead ratio, delivery probability, and hop count. The work uniqueness lies in the selection of potential nodes and finding path having less hop count in an opportunistic IoT network scenario.

The purpose of this study is theoretical and methodological substantiation, deepening of the conceptual provisions and development of the scientific and practical recommendations on the formation of mechanisms for crime prevention in the border regions of the southern of Ukraine. The relevance of this study is due to the need to solve the problem crime by introducing precautionary measures in the border regions of the southern of Ukraine (Bondarenko et al., 2021).The study proved the direct dependence of the level and intensity of crime on the proximity of areas to areas of significant social and criminological tension, to areas of instability and armed conflict, which contributes to the militarization of the population and increasing psychological preparedness for conflict and its antisocial methods (Iatsyshyn et al., 2020). It is established that in the border regions of the south of Ukraine the growth of criminal crime for the studied period significantly exceeds the data for Ukraine. The threats to irredentism and separatism, international terrorism, organized crime of a transnational global scale are real for the southern regions of Ukraine: economic smuggling, smuggling of weapons, ammunition and means of terror, drug trafficking, unregulated migration, trafficking in human beings and their organs. Priorities for Ukraine have been set task of crime prevention: introduction of the newest technologies of protection of a law and order, attraction of scientific and industrial potential of regions, establishment of coordination and interaction between subjects of maintenance of frontier safety at all levels (frontier, national, interstate and international) and cross-border interaction with the international organizations of fight against organized crime. Based on international experience, crime prevention measures in the border regions of southern Ukraine are proposed in the following areas: general social precautionary measures; special criminological precautions;international cooperation in the development of cross-border cooperation;introduction of automated security systems and crime prevention; informational and educational activities of formationlegal culture among the population and the public

The development of information and communication technologies changes how many industries and services operate. Those changes are also concerning all sectors of the travel industry, although some more than others.  Mobile access to the internet allows consumers to purchase through transaction-based applications such as e-ticketing, QR-code services, Bitcoin, E-wallet, and using a third party like PayPal.  E-Wallet is predicted to be one of the future's most successful payment modes but has achieved limited acceptance in developed countries to date. Similarly, this service is considered new in Malaysia.  Utilizing Davis' Technology Acceptance Model, this study examines the factors contributing to E-Wallet's adoption among the millennial tourist in Kuala Lumpur.  Using the self-administrated questionnaires, data from 100 respondents were collected and analyzed using SPSS.  The finding revealed that perceived ease of use of E-Wallet among millennial tourists proved to be the most substantial cause besides the significant positive relationships found from other variables such as perceived usefulness and social influence in the context of millennium tourists.  However, perceived credibility was found not related to the adoption of E-Wallet.  These findings have important theoretical and practical implications, particularly for the development and marketing of E-Wallet service, which will support the long‐term success of mobile commerce.