AI Summary & Key Takeaways
AI InsightAccording to the findings, there are statistically meaningful differences between cyberloafing behaviors and socio-demographic features such as level of personal achievement, level of technology and social media use, marital status, education level and business sector.
📌 3 Key Takeaways
Özet
The rapid progress of technology, as well as the positive results for individuals, can create the ground for some problems from a managerial point of view. The concept of cyberloafing means that employees use information and communication technologies for their own purposes rather than the business goals and that the time allocated to work is passed through technological opportunities for their personal purposes. Employees, aside from the business processes, follow their social media accounts in accordance with their personal goals, spend time with correspondence and engage in interactive content. Behaviors such as spending time on shopping websites, reviewing discount campaigns, researching personal financial investment opportunities are considered within the scope of cyberloafing. In this respect, the concept of cyberloafing is a phenomenon that needs to be met with emphasis on the businesses having the objectives of efficiency and sustainability. The aim of the study is to measure the cyberloafing tendencies of the employees in businesses located in the Organized Industrial Zone of Silifke and to determine their differences according to socio-demographic variables. In this quantitative type of research, the simple random sampling method is preferred and the data are obtained from 212 participants of 46 businesses by using face to face interview method. The participants of the study are the employees of the industrial businesses actively operating in Silifke Organized Industrial Zone. In the data collection form, cyberloafing scale developed by Lim (2002) was used and the obtained data were analyzed through SPSS program. According to the findings, there are statistically meaningful differences between cyberloafing behaviors and socio-demographic features such as level of personal achievement, level of technology and social media use, marital status, education level and business sector.