Gender Differences and Types of Cyberloafing Activities in Probation Service of Albania (Published)
Cyberloafing refers to employees using their work time for non-work-related internet activities such as checking social media, personal email, and web browsing. This paper is about gender differences and types of the cyberloafing activities. The general purpose of this study is to measure gender differences related to these types of cyberloafing activities. It is also important to measure demographic factors such as age, education, marital status and work experience related to the types of cyberloafing activities. The methodology used for this study was a questionnaire made by Coker in 2011, with a set of 20 statements which better reflects their relative frequency of cyberloafing activity. The sample selected in this study were the employees of the Probation Service in Albania. The study discovered no significant relationship between gender differences and cyberloafing behaviors, but it points out that female employees prefer to shop online and male employees pursue online news sources. International research supports the notion that there is no significant relationship between various forms of cyberloafing activities and demographic variables such as age, education, marital status, and work experience.
Keywords: Cyberloafing, Demographic Factors, Gender differences, Online Shopping, online new site
Consumption of Pornographic Material, Gender Differences and HIV Risky Sexual Behaviour (Published)
Pornography viewing is gradually becoming a part of life in many countries around the world, including Nigeria. However, the role of the extensive consumption of pornography among the Nigerian youths has not been given much attention in the investigation of HIV risky sexual behaviour in Nigeria. This study examines the predictive strength of pornography viewing and gender differences on HIV risky sexual behaviour among university students. Using a survey design, 596 university students were selected from 12 departments across three faculties, with simple random technique. A questionnaire focusing on socio-demographic profile and HIV risk behaviour scale (r=0.81) was administered to the participants. Data were analyzed using descriptive statistics, correlation analysis, t- test and regression analysis at 0.05 level of significance. Two hypotheses were tested. The results revealed that pornography viewing and gender differences jointly and independently predicted HIV risk behavior (R2 = .18; F = 59.01; p<.01). Pornography viewing is crucial for a comprehensive examination of HIV risk behaviour.
Keywords: Gender differences, HIV risky behaviour, Nigeria, Pornography, University students