درخت حوزه‌های تخصصی

The purpose of this research was to identify the skills and abilities learners need in a digital learning environment during the Corona crisis. The research approach was applied in terms of objective and the data collected using the mixed-method approach. In the first part, using a qualitative approach and a document search method, 33 components (related to the skills and abilities of e-learners) were identified, and then19 components out of 33 with the highest frequencies were selected. The target population for this study included all MA students of the University of Tehran who had the experience of studying in an online learning environment, then 374 individuals were selected as a sample using the random sampling method. In the second part, using a quantitative approach and a descriptive-analytical research method, the questionnaire developed by the researcher relies on 19 components identified in the previous step. The experts' opinions proved the validity of the questionnaire—moreover, its reliability in 0.94 (Cronbach alpha). The data was analyzed by SPSS and LISREL, and the results of the data analysis demonstrate that the proposed model is a good fit. Among the 19 components surveyed, all are above average. Finally, the results indicated that the most critical components from e-learners’ view which more critical in digital learning were effective communication, use of the computer, active learning, learning skills, resilience, motivation toward e-learning, emotional intelligence, interaction with e-learning system, self-direct learning, time management, flexibility and adaptability, critical thinking, creativity, asking someone for help, leadership skills, stress management, self-organized, cognitive skills and self-assessment

The Internet of things has become an interesting area of research in the last few years due to its ability to make human life simple and easier. Quality of Services (QoS) has gained a lot of importance due to the increasing popularity of the technology. QoS metrics help the IoT users to understand and express their requirements for the selection of services provided by IoT. Researchers in this field have come up with different types of architectures to provide a better view and define all the functions of the technology. In this paper, we have defined a few of the architectures and QoS metrics related to these architectures.

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.

In today’s era when a substitute for almost every product is readily available, acceptance and adoption of a new product in a market requires substantial amount of promotion. Here we formulate and analyze policies for promoting sales of a product in a market through optimal control theory problems. The market is partitioned into various segments depending upon multifarious demands of customers and promotion of the product is done segment-wise. The aim is to maximize the profits keeping in mind the demand requirements and the available budget for promotion. In order to provide a realistic model, the total available budget is taken to be imprecise. The optimal control model with fuzzy parameter is converted into crisp form using necessity and possibility constraints, and thereafter solved by using Pontryagin Maximum principle. To illustrate this technique, a numerical example is also considered by discretizing the model. The analysis also gives a deep insight of how the promotional effort should be planned by the decision makers keeping in mind the financial constrains without hindering the promotional effort at the end of the planning period. This paper mirrors the real time situation that could be faced by any industry, including that of software development, where budgets may have variable components and promotion of products may vary according to different regions and markets. The experimental data reveals that profitability can still be maximized if real-life constraints are applied in promotional planning by any industry.

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.

The article considers a method for solving an information asymmetry problem that is relevant for the banking sector. The authors compare bank products and services in which tariff packages are consist of different informational components. The principal feature of the proposed method is to focus on obtaining a subjective evaluation of the attractiveness of the Bank’s offers for specific target groups. This makes the proposed method relevant for Central and commercial banks, as well as for consumers of banking products. Since complex tariff packages of different banks contain not only many indicators but also different sets, it is impossible to directly compare them. The proposed method allows solving the main informational problems of traditional methods for comparing banking products. Using the Fuzzy Inference System (FIS) allows a flexible approach to the aggregation of singular indicators of tariff packages and simplifies the expert procedures. To make rules for fuzzy inference, linguistic constructions close to the natural language can be used. This makes it easier to fill the knowledge base. To solve the set tasks, a methodology for constructing hierarchical FIS is used. In comparison with non-hierarchical FIS it can reduce the requirements to the number of rules in fuzzy inference rule base and system implementation time. The experiments with the fuzzy inference system, which implements a corporate credit cards tariff packages comparison of four Ukrainian banks, showed the effectiveness of the proposed approach. The obtained numerical results are adequately interpreted for the highlighted groups of banking product consumers

The purpose of this research study is to measure the impact of governance on the organizational performance of schools in administrative, financial and pedagogical aspects. This governance approach will be approached using a methodology respecting several principles in terms of participation, transparency, accountability and evaluation (CSEFRS, 2015). Furthermore, we added in our frame of reference the primordial aspect of good governance, which is the new technologies. Considering the difficulty of an etymological and polysemic consensus on the concept of governance. It would be wise to set up operational indicators for applying this notion of governance with a perspective to enhance management skills, multi-stakeholder strategic planning, internal collaborative management, effective and efficient steering, control and evaluation. Methodology / approach: Our methodological approach based on a descriptive exploratory study. The researcher carried out an empirical study involving 20 principals of qualifying secondary schools from the Nouaceur-Casablanca region. Our measurement instrument is related to a survey which is appraised as one of the five principles of effective governance (transparency, accountability, participation, evaluation and technology). Findings: data analysis shows difficulties in applying governance principles, influencing organizational performance in administrative management. Additionally, the educational management and financial management of these establishments have seen a positive application of these governance mechanisms. It would be wise to apply the multidimensional aspects of governance, through the harmonious, complete and balanced integration of the three management mechanisms: administrative, pedagogic and financial management. The relationship between the study variables is demonstrated by the application of the five principles of governance, the results of the study recommended that we apply them to contribute significantly to improve the effectiveness of strategic planning, collaborative management and community steering.  

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.

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.

Digital Transformation has not been foreign to people in emerging economic growth, especially SME entrepreneurs in developing countries such as Malaysia. Digital transformation adoption is a way for an enterprise to improve the use of technology in a better way. But as the digital revolution has been evolving, there are still a few entrepreneurs who neglect it. The purpose of the present study is to investigate the factors affecting the adoption which is (competitive pressure, technology advancement, cost minimization, and environmental influence) on digital transformation adoption among SMEs in Malaysia. The relationship also consists of a moderating effect which is environment shock (pandemic covid-19) between the independent variable and dependent variable. The study also provides some knowledge for a deeper understanding of digital transformation and a guide to all SME entrepreneurs and others.