• Title/Summary/Keyword: security factors

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What Quality Factors Affect to the e-Learning Performance (e-러닝 성과에 영향을 미치는 품질요인에 관한 연구)

  • Kim, Sung-Gyun;Sung, Hang-Nam;Jeong, Dae-Yul
    • The Journal of Information Systems
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    • v.16 no.1
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    • pp.201-230
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    • 2007
  • Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

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The Effect of Class Satisfaction among Students in the Department of Security Services on Career Decision Efficacy (경호학과 학생들의 전공수업만족도가 진로 결정 효능감에 미치는 영향)

  • Paek, Kyung-Hwa;Ji, Chi-Hwan
    • Korean Security Journal
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    • no.21
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    • pp.19-33
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    • 2009
  • This study attempted to investigate the effect of class satisfaction of the students majoring in the studies of security services on the efficacy of career decision. To do this, I chose 430 security services of the students majoring by the systematic stratified cluster random sampling as the subject of study. All data were analyzed the causal relationship of the collected equation. In order to do a data analysis used descriptive statistics analysis, t-test, one-way ANOVA and multiple regression analysis of SPSS. As a result, the following conclusion was drawn: First, it was found that there was not a statistically significant(learning factor, interpersonal relation, aptitude factor) difference in their major class satisfaction and career decision efficacy(goal choice, future plan, working information) according to gender. Second, it was found that there was a statistically signifiant difference in such factors as learning, interpersonal relations and aptitude, in relation to the difference in subfactor such as major class satisfaction and career decision efficacy. Third, it was found that the learning, aptitude and career factors of major class satisfaction had a statistically significant effect on the future plan. Fourth, it was found that he learning and career factors of major class satisfaction had a statistically significant effect on the resolution of the goal. Fifth, it was found that the aptitude and career factors of major class satisfaction had a statistically significant effect on job information. Sixth, it was found that the career factors of major class satisfaction had a statistically significant effect on the problem-solution. Therefore, we must first give priority to improve the class satisfaction. By doing this, we can raise the efficacy level of career decision.

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Study on Welfare improvement of private security guards - Focusing on the wages and welfare system - (민간경비원의 복리(福利)증진(增進) 방안 연구 -임금 및 복리후생제도를 중심으로-)

  • Kim, Kye-Won;Lee, Keun-Eil
    • Convergence Security Journal
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    • v.16 no.6_2
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    • pp.3-22
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    • 2016
  • The purpose of this paper is to study ways to improve the welfare of private security guards. For this reason, it was analyzed the actual situation of the private security guards' wage and welfare system. As a result of the analysis, the most important factors that affect the wages and welfare system of private security guards was such as contracting costs, the minimum wage level, professional duties. In particular, a private security guards have been recognized as the most low-level professionalism sorted by the simple laborers standard classification. Wages of guards in accordance with this recognition is only about 47% of major company on average, about 80% of the small business average. If the proposed future improvements include: First, we need to improve the professionalism of a private security. Second, It is established a mutual-aid project about private security guards. Third, It shall regulate the wage of private security guards on Private Security Industry Act. Fourth, we should adopt a selective welfare system.

Virtual Network Embedding through Security Risk Awareness and Optimization

  • Gong, Shuiqing;Chen, Jing;Huang, Conghui;Zhu, Qingchao;Zhao, Siyi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.7
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    • pp.2892-2913
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    • 2016
  • Network virtualization promises to play a dominant role in shaping the future Internet by overcoming the Internet ossification problem. However, due to the injecting of additional virtualization layers into the network architecture, several new security risks are introduced by the network virtualization. Although traditional protection mechanisms can help in virtualized environment, they are not guaranteed to be successful and may incur high security overheads. By performing the virtual network (VN) embedding in a security-aware way, the risks exposed to both the virtual and substrate networks can be minimized, and the additional techniques adopted to enhance the security of the networks can be reduced. Unfortunately, existing embedding algorithms largely ignore the widespread security risks, making their applicability in a realistic environment rather doubtful. In this paper, we attempt to address the security risks by integrating the security factors into the VN embedding. We first abstract the security requirements and the protection mechanisms as numerical concept of security demands and security levels, and the corresponding security constraints are introduced into the VN embedding. Based on the abstraction, we develop three security-risky modes to model various levels of risky conditions in the virtualized environment, aiming at enabling a more flexible VN embedding. Then, we present a mixed integer linear programming formulation for the VN embedding problem in different security-risky modes. Moreover, we design three heuristic embedding algorithms to solve this problem, which are all based on the same proposed node-ranking approach to quantify the embedding potential of each substrate node and adopt the k-shortest path algorithm to map virtual links. Simulation results demonstrate the effectiveness and efficiency of our algorithms.

A Study on the Factors Affecting Chinese Consumers' Smartphone Adoption (중국소비자의 스마트폰 사용 의도에 영향을 미치는 요인)

  • Sun, Zhenbao;Park, Miyoun;Hwang, Kumju
    • Journal of Information Technology Applications and Management
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    • v.20 no.1
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    • pp.149-171
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    • 2013
  • The purpose of this study is to investigate factors influencing Chinese consumers' intention to adopt Smartphones. This paper examines Smartphone characteristics factors (situational dependence, diversity and security) and consumer personality characteristics (innovation, self-efficacy and familarity) based on the Technology Acceptance Model. The 320 sets of data are tested against the model using SEM (structural equation model). The research results reveal that diversity and security have significant influences on both perceived usefulness and perceived playfulness. According to the data analysis, self-efficacy affects only perceived easy of use, and familiarity positively affects perceived easy of use, usefulness and playfulness. This study finds that perceived easy of use and perceived usefulness have positive influences on behavioral intention to adopt Smartphones, and situational dependence and innovation directly affect the behavioral intention. The perceived cost has a negative impact on the behavioral intention. Research results are discussed, and limitations of the current study and future research are presented.

Study of Influence Factors for Prediction of Ground Subsidence Risk

  • Park, Jin Young;Jang, Eugene;Ihm, Myeong Hyeok
    • Journal of Korean Society of Disaster and Security
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    • v.10 no.1
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    • pp.29-34
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    • 2017
  • This Analyzed case study of measuring displacement, implemented laboratory investigation, and in-situ testing in order to interpret ground subsidence risk rating by excavation work. Since geological features of each country are different, it is necessary to objectify or classify quantitatively ground subsidence risk evaluation in accordance with Korean ground character. Induced main factor that could be evaluated and used to predicted ground subsidence risk through literature investigation and analysis study on research trend related to the ground subsidence. Major factors of ground subsidence might be classified by geological features as overburden, boundary surface of ground, soil, rock and water. These factors affect each other differently in accordance with type of ground that's classified soil, rock, or complex. Then rock could be classified including limestone element or not, also in case of the latter it might be classified whether brittle shear zone or not.

Leveraged BMIS Model for Cloud Risk Control

  • Song, YouJin;Pang, Yasheng
    • Journal of Information Processing Systems
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    • v.10 no.2
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    • pp.240-255
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    • 2014
  • Cloud computing has increasingly been drawing attention these days. Each big company in IT hurries to get a chunk of meat that promises to be a whopping market in the future. At the same time, information is always associated with security and risk problems. Nowadays, the handling of these risks is no longer just a technology problem, with a good deal of literature focusing on risk or security management and framework in the information system. In this paper, we find the specific business meaning of the BMIS model and try to apply and leverage this model to cloud risk. Through a previous study, we select and determine the causal risk factors in cloud service, which are also known as CSFs (Critical Success Factors) in information management. Subsequently, we distribute all selected CSFs into the BMIS model by mapping with ten principles in cloud risk. Finally, by using the leverage points, we try to leverage the model factors and aim to make a resource-optimized, dynamic, general risk control business model for cloud service providers.

Mobile Payments from Merchants' Perspective: An Empirical Study Using the TAM Model in Saudi Arabia

  • Altwairesh, Reem;Aloud, Monira
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.317-326
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    • 2021
  • This study aims to examine the factors that affect the intention of merchants to adopt mobile payments in Saudi Arabia. The underlying model used in the study is the technology acceptance model, which includes two factors: perceived ease of use and perceived usefulness. The effects of trust, cost, and compatibility are also examined because these are among the common factors used based on the literature. An online questionnaire was completed by 242 merchants in Saudi Arabia who had already adopted mobile payment services. A significant relationship was identified between perceived usefulness and compatibility in terms of merchants' intention to adopt mobile payment systems, while an insignificant relationship was identified with perceived ease of use, trust, and cost.

Study Factors for Student Performance Applying Data Mining Regression Model Approach

  • Khan, Shakir
    • International Journal of Computer Science & Network Security
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    • v.21 no.2
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    • pp.188-192
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    • 2021
  • In this paper, we apply data mining techniques and machine learning algorithms using R software, which is used to predict, here we applied a regression model to test some factor on the dataset for which we assumed that it effects student performance. Model was built on an existing dataset which contains many factors and the final grades. The factors tested are the attention to higher education, absences, study time, parent's education level, parent's jobs, and the number of failures in the past. The result shows that only study time and absences can affect the students' performance. Prediction of student academic performance helps instructors develop a good understanding of how well or how poorly the students in their classes will perform, so instructors can take proactive measures to improve student learning. This paper also focuses on how the prediction algorithm can be used to identify the most important attributes in a student's data.

Effects of Technological-Organizational-Environmental (TOE) Factors on Social Media Adoption in Small and Medium Enterprises

  • Sikandar Ali Qalati;Wenyuan Li;Truong Thi Hong Thuy;Esthela Galvan Vela
    • International Journal of Computer Science & Network Security
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    • v.24 no.7
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    • pp.186-194
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    • 2024
  • This study aims to investigate the technological-organizational-environmental (TOE) factor of influencing small and medium-sized enterprises (SMEs') social media (SM) adoption in developing countries. This study used a closed-ended questionnaire to collect data from randomly selected respondents (owners, executives, and managers) from SMEs operating in Pakistan. SMART PLS version 3.2.8 was used for path analysis of 423 responses. The research findings include the direct influence of TOE factors on SMEs SM adoption and SMEs performance. Furthers, this paper also has implications for practitioners and scholars interested in exploring the SM adoption and usage in SMEs.