Abstract
The development of information and communication technology (ICT) changed the world irreversibly and created new innovative ways of processing. Nowadays, people interact through social networks that allow creating and maintaining connections with their peers, relatives, colleagues, friends or partners. Social networks alternated the way people communicate with each other or reach out for information. They search for experiences of their connections, their recommendations, assessments or ratings of various objects like commercial offers, jobs and companies, schools, events, etc. People believe in statements and observations of their connections and act based on them. In particular young generation, millennials and later generations like Y, etc. do so to a large extent. Therefore it is important to be active through social networks also for academic institutions to become attractive and reachable to potential future students, employees, companies or partners and to be able to respond to their queries via their preferred communication channel.
There are various types of social networks designed for various purposes. This paper aims to analyze the opportunities of participation and interactivity of selected academic institution in various social networks. The analysis opts to review the importance of particular studied social networks targeting the point of view of people: students, employees, partners, etc. It has the ambition to provide proposals of possible motivating aspects for its integration into the portfolio of public relation management.
The intention of this paper is to clarify the importance of joining various social networks and to exploit their opportunities for an academic institution.
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This work was supported by the Faculty of Management, Comenius University in Bratislava, Slovakia.
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Dávideková, M., Greguš ml., M. (2018). Successful Social Network Integration in an Academic Institution: Case Study of Opportunities. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_35
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