Factors Affecting Malware Attacks: An Empirical Analysis

Author(s):  
Ajay Kumar ◽  
Nishikant Ojha ◽  
Nishit Kumar Srivastava

It has been well proved that malware attacks results in a loss of wealth and security to individuals and organizations. So, it is of utmost importance to understand that how a person or an organization becomes a victim of malware attacks. To understand the issues affecting malware attacks an empirical analysis was carried out. Firstly, factors affecting malware attacks were identified and a model was proposed, subsequently SEM (Structural Equation Modeling) was carried out to validate the proposed model and finally, regression analysis was used to establish the importance of the identified factors.

2020 ◽  
Vol 8 (3) ◽  
pp. 345-349
Author(s):  
Hesham Almomani ◽  
Diya Al-Jabali ◽  
Fayez Bni Mufarrej ◽  
Heba Ahmad

Purpose of the study: In this study, the primary aim is to identify the effects of self-efficacy and cyber bullying knowledge on cyber bullying risks among Jordanian students. Methodology: The population of the study specifically comprised of Jordanian students in Irbid students, with the study sample being 153 students. Accordingly, a questionnaire was developed and disseminated among the students to gather data for the achievement of the study objectives. The study used Structural Equation Modeling (SEM). The study also employed AMOS 23.0 and SPSS 25.0 software in SEM. Main Findings: self-efficacy and cyber bullying knowledge factors do have significant effects on cyber bullying risks. Applications of this study: This research can be used for academic purposes for universities, lecturers of education and management, researchers and undergraduate and postgraduate students. Novelty/Originality of this study: The phenomenon that existed in cyber bullying and referring from various previous research results, the study regarding the cyber bullying was conducted and presented comprehensively and completely. It is necessary examine the effect of self-efficacy and cyber bullying knowledge factors on cyber bullying risks.


2019 ◽  
Vol 18 (04) ◽  
pp. 511-525
Author(s):  
Pornwasin Sirisawat ◽  
Tossapol Kiatcharoenpol

Nowadays, reverse logistics (RL) is one of the key strategies in many industries, especially in the electronics industry due to increasing environmental awareness and sustainable management. The main aim of this research is to investigate the correlation of RL performance to solutions for RL practice of the electronics industry in Thailand. In this research, questionnaires were distributed to 417 companies in the electronics industry of Thailand. A conceptual model was developed and the model examined by using structural equation modeling (SEM). Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in this study. The hypotheses were tested in which RL performance was directly positively associated with the overall solutions for RL practices. RL performance was also indirectly positively associated with management & organization solutions, legal & technology solutions and collaboration and support solutions of the various solutions for RL practices. Empirical data was tested by using SEM and it was found that the proposed model could fit with the empirical data. The proposed results of this study will help to understand more about RL practices and could provide further direction for researchers and practitioners in the electronics industry and other related industries.


PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0227787
Author(s):  
Wen Jiang ◽  
Zhu Huang ◽  
Ying Peng ◽  
Yaqi Fang ◽  
Yunzhong Cao

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