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dc.contributor.authorSakas, Damianos P.en
dc.contributor.authorSarlis, Apostolos S.en
dc.contributor.authorΣακάς, Δαμιανός Π.el_GR
dc.contributor.authorΣαρλής, Απόστολος Σ.el_GR
dc.date.accessioned2017-03-24T09:28:11Z
dc.date.available2017-03-24T09:28:11Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10797/15158en
dc.descriptionΠεριέχει τη περίληψηel_GR
dc.description.abstractTwitter is the most popular instant messaging platform today. Thanks to the consistency factor typical of it, it offers every company or business the best opportunity to promote their products or services. Likewise, it offers an unprecedented opportunity to public utility or benefit organizations like libraries to promote their services and build a powerful digital information exchange community. However, because of its immense number of users and chaotic nature, the steps toward making the best of it must be precise and systematized, or else the information professional will end up squandering resources to no avail. The purpose of this paper is the optimization of the distribution of the libraries’ resources regarding the promotion methods on Twitter.Design/methodology/approach Such a model is initially built by recording and analyzing the potential offered by the social network platform in question. Third-party tools that help handle Twitter are also analyzed. The factors’ total is then modeled by using the iThink editor. This editor is able to receive data from the decision-maker with respect to the specific attributes of each product and given conditions and produce specific outcomes by use of the model.Findings This research paper, includes a decision-making tool (model) that combines a theoretical view of library information science (LIS) and marketing science with a practical tool, simulating the process and producing certain outcomes using specific resources. The model presents him with the outcome that is bound to be produced with regard to the given circumstances and the amount of resources invested, encouraging, or not, certain courses of action.Practical implications The decision-maker can accurately anticipate an outcome so as to respectively customize his data and moves.Originality/value Proper use of the tools available, alongside anticipation chances offered by dynamic simulation models, enables the model decision-maker use it according to any given context, hence maximizing library business profits.en
dc.language.isoengen
dc.sourceLibrary, Information Science & Technology Abstracts (LISTA)en
dc.sourceLibrary Review. 2016, Vol. 65 Issue 6/7, p479-499. 21p.en
dc.source.urihttp://web.a.ebscohost.com/ehost/detail/detail?sid=9b10a704-2290-4991-b743-eb7c04129f96%40sessionmgr4006&vid=0&hid=4214&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=119035415&db=lxhen
dc.titleLibrary promotion methods and tools modeling and simulation on Twitteren
dc.typeArticleen
dc.subject.uncontrolledtermDynamic simulation modelsen
dc.subject.uncontrolledtermModelingen
dc.subject.uncontrolledtermSocial media marketing modelingen
dc.subject.uncontrolledtermTwitteren
dc.subject.uncontrolledtermTwitteren
dc.subject.uncontrolledtermTwitter and information professionalsen
dc.subject.uncontrolledtermTwitter marketing methodsen
dc.subject.JITAΒιομηχανία, επάγγελμα και εκπαίδευσηel_GR
dc.subject.JITAIndustry, profession and educationen
dc.identifier.JITAGZen


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