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Auswahl der wissenschaftlichen Literatur zum Thema „Avslöjande av Negativ Information“
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Dissertationen zum Thema "Avslöjande av Negativ Information"
Holm, Olivia, und Amanda Johansson. „Avslöjande av negativ information i hållbarhetsrapporter : En kvantitativ innehållsanalys på börsnoterade företag i Sverige“. Thesis, Södertörns högskola, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-41271.
Der volle Inhalt der QuelleSalih, Dlovan, und Neda Gemal. „Negativ information i storbankernas hållbarhetsredovisningar : En studie om vilka legitimitetsstrategier svenska storbanker använder vid kommunikation av negativ information“. Thesis, Högskolan i Skövde, Institutionen för handel och företagande, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19061.
Der volle Inhalt der QuelleFejes, Sara, und Aleksandra Nikolova. „Avslöjandet av negativ information i förhållande till företagsspecifika faktorer : En kvantitativ innehållsanalys på statligt ägda bolag i Sverige“. Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-45946.
Der volle Inhalt der QuelleSince 2007, State-Owned Enterprises (SOE) must produce sustainability reports in accordance with GRI or another international framework. This is to increase the companies' transparency for its’ stakeholders and society. In the state's ownership policy, it is of great importance for the companies to appear transparent, which means that both positive and negative information must be included in the sustainability reports. The purpose of this study has been to investigate the extent to which Swedish State-Owned Enterprises report negative information and which company-specific factors can affect negative disclosures. The theoretical framework that has been used to explain this phenomenon is Stakeholder Theory, Legitimacy Theory, Consumer Skepticism and Two-Sided CSR. The methodological approach is based on a content analysis which was further analyzed with the support of correlation analysis and multiple regression analysis to find connections between the study variables. The results showed that State-Owned Enterprises report negative information to a greater extent in Social Aspects, where the Environmental Aspects came closely behind. The study states that the company-specific factor Number of pages could demonstrate a statistical significance to the disclosure of negative information.
Hedström, Madeleine. „Livstillfredsställelse : Föränderlig på grund av exponering för negativ respektive positiv information?“ Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-24909.
Der volle Inhalt der QuelleLundgren, Joakim. „Barns minnesåtergivning - uppkomsten av falska minnen och suggestionspåverkan utifrån positiv respektive negativ information“. Thesis, Stockholms universitet, Psykologiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-77422.
Der volle Inhalt der QuelleLjungström, Caroline. „Facebook en ny datakälla : En studie om extraktion av positiv eller negativ lojalitet hos en individ från extern data“. Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177371.
Der volle Inhalt der QuelleSocial media is a central part of today’s society. Increasingly more social platforms are created where people are able to share events, opinions and interests. Social media can be viewed as an extended information source containing data of individual’s opinions and experiences. This report studies whether there are strong attributes on individual’s level that can be extracted from the social platform, which may give increased corporate benefit. By examining a social platform and finding correlations between certain attributes of an individual and judge how they relate to a company's profit making features, which statistically may benefit the company. The study will also examine how to extract this information from a social platform. The report aims to show new opportunities to extract the external data for analysis and which attributes are essential. The result from the collection of data from external data source revealed several attributes which indicates an individual's positive or negative loyalty towards the company