57 research outputs found

    Minden jĂł influencer
” – Avagy hogyan lehet hiteles egy Instagram-mikroinfluencer az ĂŒgynöksĂ©gek Ă©s az influencerek szerint?

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    Az online szĂĄjrekĂĄm (electronic word-of-mouth, e-WOM) elterjedĂ©sĂ©nek köszönhetƑen, illetve az olyan közössĂ©gi oldalak megjelenĂ©sĂ©vel, mint az Instagram kĂ©p- Ă©s videomegosztĂł közössĂ©gi oldal a mĂĄs fogyasztĂłk befolyĂĄsolĂĄsĂĄra kĂ©pes vĂ©lemĂ©nyvezĂ©rek az online tĂ©rben sokkal nagyobb közönsĂ©g felett rendelkeznek befolyĂĄssal. E trendnek köszönhetƑen egyre több cĂ©g lĂĄtja meg az influencerekkel valĂł egyĂŒttmƱködĂ©sben rejlƑ ĂŒzleti potenciĂĄlt. Az influencer marketing tĂ©rnyerĂ©sĂ©vel pĂĄrhuzamosan vagy akĂĄr annak köszönhetƑen egyre több online vĂ©lemĂ©nyvezĂ©r jelent meg (Varga – Panyi, 2017). Ugyanakkor a fogyasztĂłk körĂ©ben a relatĂ­ve kisebb közönsĂ©get elĂ©rƑ, Ășn. mikroinfluencerek vĂĄlnak egyre nĂ©pszerƱbbĂ©. Az influencerek szĂĄma Ă©vrƑl-Ă©vre nƑ, tovĂĄbbĂĄ egyre több szponzorĂĄlt tartalom jelenik meg az influencerek ĂĄltal lĂ©trehozott tartalmakban, amelyek következmĂ©nyekĂ©nt megjelenik a tĂșltelĂ­tƑdĂ©s veszĂ©lye, aminek eredmĂ©nyekĂ©ppen a fogyasztĂłk bizalma is meginoghat. KĂ©rdĂ©s, hogy az ĂŒgynöksĂ©gek Ă©s maguk az influencerek ezt hogyan prĂłbĂĄljĂĄk kivĂ©deni. KutatĂĄsunk cĂ©lja ennek okĂĄn az volt, hogy feltĂĄrjuk azokat az okokat Ă©s tĂ©nyezƑket, amelyek hitelessĂ© teszik az influencert az ĂŒgynöksĂ©gek Ă©s az influencerek szerint. A kĂ©rdĂ©s megvĂĄlaszolĂĄsĂĄhoz mĂ©lyinterjĂșkat kĂ©szĂ­tettĂŒnk, amelyek alapjĂĄn elmondhatĂł, hogy jelentƑs sĂșllyal bĂ­r az a tĂ©ny, hogy maga a követƑ szemĂ©ben a vĂ©lemĂ©nyvezĂ©r mennyire vonzĂł szemĂ©lyisĂ©g. MeghatĂĄrozĂł tĂ©nyezƑ a hitelessĂ©g szempontjĂĄbĂłl a lĂ©trehozott tartalmak relevanciĂĄja, a megosztott tartalmak minƑsĂ©ge Ă©s a szponzorĂĄlt tartalmak egyensĂșlya is

    Resilience of social-ecological systems: drastic seasonal change is associated with economic but not social flexibility among fishers in the Brazilian Pantanal

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    In attempting to predict the impact of major ecological or climatic change on livelihoods, insights can be gained by looking at communities who experience extreme seasonal or annual variation. Here, we compare the ecology, economy, and social network of a community of traditional fishers in the Brazilian Pantanal between the dry season and the flood season in which their wetland ecosystem is transformed. Using data derived from satellite imaging we show that during the flood season of 2019 the total amount of open water accessible to fishers more than doubled and led to drastic qualitative changes. We show that although fishers adapted to this extreme seasonality by changing where, how, and what they fish between seasons, the structure of the social network in our study community did not differ. We argue that strong networks are especially important in social-ecological systems with extreme seasonal changes. More generally, we suggest that case studies of seasonal adaptation such as ours can contribute to a broader understanding of how communities may be able to successfully adapt to novel social-ecological changes
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