![]() The findings from a sample of 312 digital consumers (mobile and/or desktop) confirmed that the desktop channel provides a greater fit for morning-type respondents and that the mobile channel offers better value for evening-type respondents in e-retail. promotion) and chronotype (morning and evening person) on a sample of university students using desktop and mobile channels for their shopping. ![]() Perhaps this study is the pioneer when it comes to investigating the effect of regulatory focus (prevention vs. However, there has been very little research that has treated mobile and desktop devices separately. These devices (mobile and desktop) are different and offer unique benefits to consumers. However, nowadays, they possess different digital devices (mobile and/or desktop) to search for different alternatives and to make a better shopping choice. A few years ago, consumers were using brick and mortar stores to make their purchases. They can use multiple channels for shopping and also they can switch from one to another channel almost effortlessly, in the result of engaging in omnichannel shopping behavior. Today, digital shoppers express increasingly complex buying behavior. There was a strong correlation between extensive screen time and the level of problematic smartphone use in the studied population. The results of our study showed that a significant number of students of medicine showed problematic smartphone use. The best predictors of problematic smartphone use were longer daily smartphone screen time and evening chronotype personality. There was no statistically significant difference between the number of male and female students with problematic smartphone use. Those students spent significantly more time on their phones compared to the non-addicted ones. The students with problematic smartphone use more frequently (statistical significance) belonged to the evening chronotype. Chronotype was established by the Morningness-Eveningness Questionnaire.Īlmost one quarter (22.7%) of students involved in our study could be classified as being "smartphone-addicted". Smartphone screen time was assessed by the free Android application Quality Time. Problematic smartphone use was measured by the short version of the Smartphone Addiction Scale. The participants were students of medicine of both sexes. ![]() The aim of our study was to measure the level of problematic smartphone use in a student population through the assessment of the smartphone screen time and the determination of the student chronotype, as well as through the correlation between these variables. The global trend of an increase in the frequency of usage of smartphones, that is, prolonged screen time, is closely related to problematic smartphone use. This study describes a proof-of-concept approach for forensic automation on online social networks.īesides numerous advantages and commodities offered by smartphones, there are obvious unhealthy effects. These operators are implemented using Twitter ontology and tested through a case study. These operators can be embedded in software tools to help the investigators draw realistic conclusions. Finally, we propose a set of analysis operators based on domain correlations. Here, we introduce a multi-layer automation approach that addresses the automation issues from collection to evidence analysis in online social network forensics. Automating digital forensics is not exclusively a technical problem the technical issues are always coupled with privacy and legal matters. ![]() Therefore, it is critical to develop solutions and tools that can assist investigators in their work and decision making. However, accessing this publicly available information for legal use is technically challenging and legally intricate due to heterogeneous and unstructured data and privacy laws, thus generating massive workloads of cognitively demanding cases for investigators. Currently, law enforcement and legal consultants are heavily utilizing social media platforms to easily access data associated with the preparators of illegitimate events. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |