International Journal of Communication Networks and Information Security (IJCNIS)
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1021 research outputs found
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The Impact of Enterprise Risk Management and Competitive Advantage on Firm Performance: Future Research
No full textEnterprise Risk Management (ERM) has emerged as a key point in academic and professional spheres. While it is gradually being recognized to have potential benefits, there still exists a significant gap related to what exactly the relationship ERM and firm performance intensively means. This ongoing research endeavors to fill this void by exploring the influence of ERM and aligning its dimensions with concepts of competitive advantage. This paper aims to present a comprehensive overview of ERM, utilizing the Resource Based View (RBV) and Contingency theoriesas a lens to examine its effects on the performance of non-financial firms, where competitive advantage serves as a mediating factor. Building upon existing research, this study contributes novel insights, particularly in the intersection of strategy and ERM. The findings of this research not only dissect the pivotal components of ERM and their ramifications on firm performance but also provide practical insights. These insights can function as a roadmap, bridging the expectations of managers concerning ERM with its actual implementation within the context of competitive advantage strategies. This study thus seeks to enhance the understanding of ERM's strategic implications and offers actionable recommendations for effective integration into organisational frameworks
Domination in Pythagorean Fuzzy Graphs with an Application in Signal Processing
No full textFuzzy theory is one of the developing discipline of math, proceeding with its application in many different fields. Fuzzy graph theory is one of the branch of fuzzy theoretical area, which is advanced with many real life applications in new mathematical developments. In this research article we have studied and examined few new theoretical concepts of domination have been verified for the Pythagorean fuzzy graphs. Some useful application for Pythagorean fuzzy graphs have been described in this research article
Opportunistic Scheduling Algorithms In 5G/6G
No full textWireless networks have experienced rapid growth in recent years, which evaluates the importance of scheduling algorithms in the development and optimization of wireless networks. Opportunistic scheduling algorithms take channel condition as one of the factors when transmitting packets. The number of bytes which can be carried within a time or physical slot is determined by the channel condition which significantly impacts the throughput of wireless networks. This study aims to focus on the uplink and downlink schedulers and channel conditions which contribute to optimizing resources utilization, enhancing network throughput, and minimizing delays in network communication. In addition, this study also aims to compare and analyze existing scheduling algorithms and their impact on network throughput. In this paper, several existing opportunistic scheduling algorithms in 5G will be compared
Evaluating the Impact of Scheduling Algorithms on Performance and Reliability in Delay-Tolerant Networks
No full textDelay-Tolerant Networks (DTNs) are designed to support communication in environments where network connectivity is intermittent and unpredictable. Efficient scheduling algorithms are critical for optimizing the network's performance, ensuring data delivery, and reducing latency. This paper provides an in-depth evaluation of two widely-used scheduling algorithms—the Timely-Throughput Optimal (TTO) Algorithm and the Bundle Lifetime Criteria-based policy. Using a comprehensive set of simulation experiments, we analyze how these algorithms perform under various network conditions, including mobility, node density, and varying traffic loads. Our results demonstrate that the TTO algorithm maximizes throughput and data delivery in stable networks, while the Bundle Lifetime Criteria-based policy significantly improves reliability in highly dynamic and mobile environments. The insights derived from this analysis are vital for designing adaptive scheduling solutions that enhance both performance and reliability in DTN applications such as disaster recovery, vehicular networks, and space communications
Intelligent systems for project management in public institutions: a review of the state of the art in Scopus
No full textThe study analyzed the use of intelligent systems in project management within public institutions, focusing on applied technologies, implementation challenges, and emerging trends. Through a systematic review of 29 scientific articles indexed in Scopus (2013-2024), technologies such as Artificial Intelligence (AI), Big Data, ERP, and Blockchainwere identified, highlighting their impact on the efficiency and transparency of projects. The results show that these technologies have optimized resource allocation and improved decision-making, while the modernization of legacy systems has facilitated the digitalization of public services. Additionally, increased efficiency in managing international projects has been observed through collaborative cloud platforms. However, challenges related to system interoperability, data security, and the need for staff training persist. The success of implementing these technologies depends on a strong governance framework and the institutions' ability to adapt to technological advances. In conclusion, intelligent systems present a significant opportunity to enhance project management in the public sector, although addressing these challenges is essential to maximize their impact
Toward a Holistic Model for Adopting Cloud Computing in Organizations: A Systematic Review
No full textRegarding the innovation that occurred in the information technology industry over the years, the dependence on cloud computing has increased. In this regard, cloud computing has drastically developed in recent years. Many organizations usually rely on this technology for their business and use it as the backbone of their company’s IT infrastructure. Despite the extensive advantages of the could computing, many of these services are limitedly adopted by the companies and many companies are dubious to adopt this technology. The present study aimed to systematically review the factors effective in organizational decision-making for adoption of the cloud computing by the use of the Technology-Organization-Environment (TOE) framework. The TOE framework classifies the factors affecting an organization’s adoption of innovation into three groups: 1. Technology (meaning the system’s security and complexity), 2. Organization (meaning the organization size and chief managers’ support of functional systems displacement), and 3. Environment (cases such as market uncertainty and pressure from the government or competition)
PERFORMANCE OF FOUR BLADE ARCHIMEDES SCREW TURBINE
No full textHydraulic energy is one of the most important sources of renewable energy today.it is also a complementary source to other renewable energy sources, being the only one that offers an important nonpolluting storage capacity. The geometrical shapes are four blades, Screw angel of 100 to 500. The Archimedes screw turbine is being explored all around the world as one of the best candidates for efficient electricity generation at low head and low flow rate sites. The experimental work conducted for the screw turbine angels ranges from 100 to 500 with different flow rates. The efficiency of the Archimedes screw turbine was calculated for the experimental results. The experimental work is completed by using drainage water for the different range angles and different flow rate to produce the higher electricity. Theoritical and experimental values are compared. The maximum power of 12W is generated at the 300 screw angle and 7 rpm rotar
The Role of Emotional Intelligence on the Performance of Public Relations Employees Jobs
No full textEmotional intelligence is a more significant concept that contributes to identifying the feelings and emotions of the individual,understanding the feelings and emotions of others, and building good relations, whether in social life or working life. Emotional intelligence skillsmust be provided to all employees in organizations, specifically those working in management and those with direct communication and interaction with internal and external audiences. Therefore, this study aimed to identify the impact of emotional intelligence and its relationship with public relations employees' performance. The study sample is a questionnaire that numbered (173) public relations employees in the Kingdom of Saudi Arabia. The researcher used the descriptive approach as it is appropriate for the nature of the study.
The study showed that the level of emotional intelligence of public relations employees in Saudi Arabia was high by an average of (4.11). The results showed that in public relations, employees in Saudi Arabia praise others when they do a good job. They also have awareness and knowledge of their feelings and contribute to helping others when frustrated. The results also showed that the level of the job performance of public relations employees is very high (4.45), as the respondents strongly agreed to the majority of the levels of job performance, the most important of them are responding to their co-workers and working hard for the tasks assigned to them and look for solutions to problems that may appear in their work. The results found a relationship between emotional intelligence and employee performance. The higher the emotional intelligence, the higher the job performance. One of the most important recommendations is to prepare training programs for different departments in the field of emotional intelligence, Specifically public relations management, as it aims to establish good relations with others, which requires understanding their feelings and emotions, attention to the emotional intelligence field through the preparation of future studies and researches that include emotional intelligence and its impact on other field, conducting research in the field of emotional intelligence in the Middle East countries, including the focus of emotional intelligence in the criteria for evaluating employee performance
An efficient hybrid software-defined networking (HSDN) approach is proposed to optimise the distribution of network traffic in traffic engineering
No full textTraffic engineering (TE) is a very efficient technique for optimizing the distribution of network traffic, leading to improved performance of a hybrid software-defined network (SDN). Traditionally, TE systems have mostly used heuristic methods to centrally optimize the setting of link weights or traffic splitting ratios while dealing with static traffic demand. It is important to realise that as the network grows and management gets trickier, centralised traffic engineering (TE) methods have a hard time keeping up with the huge amount of data they have to process and take a long time to find the best way to route traffic when there are problems or changes in the demand for traffic on the network. Aim to improve the implementation of dynamic and efficient routing in traffic engineering (TE). ring (TE). Efficient hybrid SDN (hSDN) schemes are crucial for the preservation of global information and resource allocation to several applications running in the network. These schemes specifically focus on topology identification, traffic categorization, energy management, and load balancing algorithms. Therefore, in order to enhance network performance by enhancing traffic engineering (TE), it becomes crucial to provide appropriate resources to applications in the network. To accomplish a worldwide optimization goal, An interactive setting for training routing agents with access to partial link use data. To improve the distribution of credit in a multi-agent system, A differential reward assignment method. The purpose of this mechanism is to motivate agents to make choices that are more optimal. The comprehensive simulations conducted on real traffic traces demonstrate the superiority of improving traffic engineering (TE) performance, especially in scenarios when traffic demands vary or network outages happen
Investigating the attitudinal outcomes of relationship marketing on customer loyalty
No full textIntense competitiveness and complexity of the markets have made it inevitable for businesses to accept a modern attitude about marketing, which is “relationship marketing”, and drive them-particularly in industrial markets, to defensive marketing strategies rather than aggressive marketing strategies. This research also aims to investigate the attitudinal outcomes of relationship marketing on customer loyalty to Amavis Industrial Valves company. Thus, based on the attitudinal outcomes of relationship marketing, five assumptions have been developed. The research method is descriptive/correlational and used structural equation modeling techniques to analyze and interpret the research assumptions. Research findings confirm that relationship marketing has a positive and meaningful effect on brand image, brand satisfaction and brand loyalty, and also brand loyalty is influenced by other factors of brand that are prioritized as following: 1) relationship marketing, 2) brand satisfaction, and 3) brand positive image.