درخت حوزه‌های تخصصی

SCImago Journal Rank (SJR) is one indicator of a journal's reputation.  The value is calculated based on several published journals, such as scholarly journals' scientific impact, representing the number of quotes sent to a journal and the relevance or reputation of journals from which the quotations originate. A high SJR value means that the corresponding journal has a high reputation. This study aims to approach the SJR classification by implementing a machine learning approach. A simple yet powerful method Naïve Bayes Classifier (NBC), is selected. NBC utilizes probability calculations based on Bayes' theorem. However, NBC has an assumption that the attribute values do not depend on each other. This method is optimized using Particle Swarm Optimization (PSO) to overcome this weakness. This study used SJR data of the computer science domain from 2014 to 2017. Publication without Q rank is filtered for better performance. As a result, the accuracy of the proposed method is higher than the baseline. The use of PSO  significantly improves the NBC performance based on the performed T-test. The PSO-NBC selects four of eight features: H index, Cites/ Doc (2 Years), and Ref. / Doc. Overall results show that using PSO-NBC is closer to SJR rather than using mere NBC.

This study aimed to identify the impact of strategic vigilance (SV)on the useful application of electronic management in the National Railway Transport Company (SNTR), and to achieve the objectives of the study; a survey was designed and distributed to a simple random sample of 200 individuals from the National Railway Transport Company (SNTR) ), From which 180 questionnaires were retrieved, The results obtained indicate Spanish the respondents' perception of both strategic vigilance with its dimensions (competitive vigilance and technological vigilance, commercial vigilance and environmental vigilance) and electronic management in the researched company, The findings also revealed positive effect of strategic vigilance in the practical application of electronic management in the company National Rail Transport (SNTR).

The Special Issue of the Journal of Information Technology Management (JITM) is publishing very selective papers on information management, Internet of Things (IoT), Algorithms, Quality of Service (QoS),Tourists Perception , Technology in higher education, integrated systems, enterprise management, Self-Service Technology (SST) , cultural thoughts, strategic contributions, management information systems, and cloud computing. We received numerous papers for this special issue but after an extensive peer-review process, eight papers were finally selected for publication. In the digital age, the management of electronic archives became a trend as well as the focus of management development in many institutions.

In the current paper, we have assimilated fuzzy techniques and optimization techniques, namely differential evolution, to put forward a modern archive-based fuzzy evolutionary algorithm for multi-objective optimization using clustering. The current work account for the application of a cluster associated approach. Specific quantitative cluster validity measures, i.e., J-measure and Xie-Beni, have been referenced to carry out the appropriate partitioning. The proposed algorithm introduces a new form of strategy which attempts to benefit the feasible search domain of the algorithm by minimizing the analysis and exploration of less beneficial search scope. This clustering method yields a group of trade-off solutions on the ultimate optimal pare to front. Eventually, these solutions are united and maintained in an archive for further evaluation. The current work summarizes and organizes an archive concerned with excellent and diversified solutions in an effort to outline comprehensive non-dominated solutions. The degree of efficiency is revealed with respect to partitioning on gene expression and real-life datasets. The proposed algorithm seeks to reduce the function assessment analysis and maintains a very small working population size. The effectiveness of the proposed method is presented in comparison with some state-of-art methods.

Multicasting is an important operation in software-defined wireless sensor networks (SDWSNs). In this operation, a group of nodes specified by their unique node identification numbers is supposed to receive the same multicast message at the approximately same time, if possible. These nodes are termed as multicast members or multicast destinations. They need not be physically close to one another to form a group. The present article proposes an energy-efficient scheduler exclusively for multicast operation in the SDWSN environment. Based on the advantages provided by underlying network architecture, a router can efficiently schedule multicast packets belonging to various multicast sessions. This promotes greenery in the network and significantly increases the packet delivery ratio. These claims are supported and justified by the experimental results presented in this paper. As far as the authors know, there is no multicast packet scheduler in the literature of wireless sensor networks or WSN. SDWSN is a more advanced version, and no multicast protocol has yet been proposed for these kinds of networks. Therefore, while designing the present fuzzy scheduler, we kept in mind all standard multicast protocols in the WSN environment.

The article considers the main aspects of the use of digital platforms as a tool for the transformation of strategic consulting in public administration. The study substantiates the feasibility of using the results of consulting activities in the implementation of strategic objectives by the executive authorities at any level of government. The ways and methods of organizing consulting activities on the basis of digital platforms for the purpose of informational and analytical support of management technologies of public administration and civil service reform analyzed. Based on the results of the study, a model of using consulting services in the public administration system was developed. The criteria of efficiency of realization project management consulting in the public sector, based on digital platforms highlighted.

Equity is the basic structural component of the development of any business, so it is important for an industrial enterprise to develop tools to determine its effective management. It it is impossible without conducting qualitative financial analysis, timely and effective adaptation of valuation approaches in the modern conditions of functioning of enterprises. The effective functioning of enterprises is impossible without the use of modern complex methods, which include not only a methodology, a system of indicators, but also modern technologies for their assessment, planning and control. Information management is one of these technologies. To solve the problems of the study we used the method of structural-logical analysis, methods of theoretical generalization and comparative analysis, synthesis and method of grouping of absolute and relative values, graphical method and information management methods. The result of the study is the formation of a comprehensive approach to the financial analysis of the equity of the enterprise on the formed system of four groups of indicators. These indicators take into account the state of equity, its efficiency, ensuring risks in the process of the enterprise and directions of financial analysis.

Mobile Banking has always been the focus of the banks to provide an alternative banking channel for the bank customers. However, the adoption rate was still relatively low and increased gradually over the decade. Thus, it is important to examine the factors affecting Mobile Banking Adoption to provide better insights to improve the situation for the bank customers to adopt it for banking purpose. In this conceptual article, the past literature related to the investigation of Technology Adoption was reviewed. Based on the review and also the understanding of the theory, this article further explores on the interactions of the constructs from Technology Acceptance Model (TAM) & Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Trust, Technology Awareness and Mobile Banking Adoption. With the study of these interactions, it is very likely to create new avenues for future research.

Enterprise Social Media (ESM) has been normally embraced by companies to boost team performance and agility for workers. The goal of this study is to investigate the mediating effect of workplace isolation on the relationships among usage ESM, employee agility and Team Performance along with exploration of the moderating influence of workplace Integrational study model. This research adds to corporate awareness in illustrating the impact of ESM use on team performance and employee agility based on theory of social exchange, theory of information processing and the theory of transactive memory. Cross-sectional survey was employed to collect data from telecommunication firms (public & private). 400 respondents were selected through purposive sampling technique and given close ended questionnaires, 348 questionnaires were selected for further analysis; through a number of statistical tools, after screening out the filled responses. It resulted in Suggesting ESM has a favorable effect on Employee Agility and Team Performance, but the negative relationships were observed among workplace isolation and employee agility and team performance. Further, Workplace Isolation mediated the relationship among ESM, Employee Agility and Team performance. Additionally, Workplace Integration strongly moderated the relationship between ESM and Workplace Isolation.  Experts and/or administrators should pay consideration to the impact of using ESM on agility and team performance of the workers. In addition, when implementing ESM to increase team performance they should concentrate on the extent of team diversity. By presenting the relationship between use of ESM, isolation in the workplace, workplace integration, agility of workers and performance of teams; it enriches the ESM use works by exploring the moderating functions of workplace integration while describing the beneficial consequences of workplace integration.

Due to enchantment in network technology, the worldwide numbers of internet users are growing rapidly. Most of the internet users are using online purchasing from various sites. Due to new online shopping trends over the internet, the seller needs to predict the online customer’s choice. This field is a new area of research for machine learning researchers. A random forest (RF) machine learning method is a widely used classification method. It is mainly based on an ensemble of a single decision tree. Online e-commerce websites accumulate a massive quantity of data in large dimensions. A Random Forest is an efficient filter in high-dimensional data to reliably classify consumer behaviour factors. This research article mainly proposed an extension of the Random Forest classifier named “Weighted Random Forests” (wRF), which incorporates tree-level weights to provide much more accurate trees throughout the calculation as well as an assessment of vector relevance. The weighted random forest algorithm incorporates the C4.5 method named a “Hybrid Weighted Random Forest” (HWRF) to forecast online consumer purchasing behaviour. The experimental results influence the quality of the proposed method in the prediction of the behaviour of online buying customers over existing methods.

In an EPS lesson, the student can learn in three different ways, including learning by doing, observing, or thinking; the last method will be the subject of our study, the objective of which is to show how a debate of ideas (sociocognitive conflict), between a group of students will make it possible to construct learning through the educational mediation of the teacher? So by verbalizing the problems encountered in learning situations and concretizing theoretical behaviors (proceduralization of knowledge), students will be able to learn in an autonomous and responsible manner (self-management). This expected result is one of the purposes of competence-based pedagogy as well as the pedagogical orientations, namely to train a citizen capable of developing powers of analysis and reflection and the ability to adapt (the national charter for education and training) Control groups were planned to facilitate comparison of the results. At the end of the experiment, we noticed that the students in the experienced groups made greater progress than those in the control groups. The progress that has been made by the experienced groups confirms the research hypothesis that the learning built by the students themselves through a collective project based on the verbalization of actions and problem solving is not only more profitable for the students but also for the teacher

Research in ​​educational innovation has generally focused on teaching practices. Innovation in our society carries many identities. In the collective imagination, it refers to our own representation of what is new. In our research work, we have focused on identifying the factors of innovation in the field of qualifying secondary education. We used a questionnaire of 78 items, structured in 5 areas: the conditions, the moments, the reasons, the domains, and the objects of experimentation of the new actions in teaching-learning. This questionnaire is administered to a sample of 149 teachers. We proceeded by a descriptive and exploratory research of mixed qualitative and quantitative type) The results of which showed the existence of personal factors and those which are in relation to the context and the working conditions in educational establishments, and which are points of reflection on the logic of school innovation. We can deduce that an analysis of the relationships that teachers have with innovation opens heuristic perspectives in terms of research and training in education.