Betydelsen av socialt ansvar : En kvalitativ studie om ideella elitidrottsföreningars sociala samhällsengagemang

De ideella elitidrottsföreningarna börjar till stor del bli kommersialiserade och gränsen mellan dem och vinstdrivande företag är på väg att suddas ut. De är dock fortfarande en ideell idrottsförening till formen som ska vara allmännyttig, demokratisk, ha folkrörelsekaraktär, vara jämlik och jämställd – de ska med andra ord genom sin huvudsakliga verksamhet bidra till samhället. Trots det tenderar elitidrottsföreningarna att ta ytterligare samhällsansvar genom att bedriva olika projekt och verksamheter med syfte att på olika sätt hjälpa till exempel utsatta grupper i samhället. Syftet med studien är att förstå vilken betydelse de sociala samhällsengagemangen har för ideella elitidrottsföreningar i förhållande till deras intressenter. Genom att utföra semistrukturerade intervjuer med representanter från fem olika ideella elitidrottsföreningar har vi skapat en förståelse kring deras sociala ansvarstagande för att därefter tolka vilken betydelse detta har för föreningarna och för vilka de arbetar med socialt ansvarstagande. Uppsatsen bidrar till att förstå att det finns nya strategier att använda sig av när det handlar om att bedriva en ideell elitidrottsförening. Vi önskar att uppsatsen kan bidra till att inspirera personer inom föreningsvärlden att våga gå nya vägar när det kommer till att leda och utveckla Sveriges idrottsföreningar.

ANFIS BASED MODELS FOR ACCESSING QUALITY OF WIKIPEDIA ARTICLES

Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Due to the free nature of Wikipedia and allowing open access to everyone to edit articles the quality of articles may be affected. As all people don’t have equal level of knowledge and also different people have different opinions about a topic so there may be difference between the contributions made by different authors. To overcome this situation it is very important to classify the articles so that the articles of good quality can be separated from the poor quality articles and should be removed from the database. The aim of this study is to classify the articles of Wikipedia into two classes class 0 (poor quality) and class 1(good quality) using the Adaptive Neuro Fuzzy Inference System (ANFIS) and data mining techniques. Two ANFIS are built using the Fuzzy Logic Toolbox [1] available in Matlab. The first ANFIS is based on the rules obtained from J48 classifier in WEKA while the other one was built by using the expert’s knowledge. The data used for this research work contains 226 article’s records taken from the German version of Wikipedia. The dataset consists of 19 inputs and one output. The data was preprocessed to remove any similar attributes. The input variables are related to the editors, contributors, length of articles and the lifecycle of articles. In the end analysis of different methods implemented in this research is made to analyze the performance of each classification method used.

Personalized Communications : A Cross Media tool for the future

Personalized communication is when the marketing message is adapted to each individual by using information from a databaseand utilizing it in the various, different media channels available today. That gives the marketer the possibility to create a campaign that cuts through today’s clutter of marketing messages and gets the recipients attention. PODi is a non-profit organization that was started with the aim of contributing knowledge in the field of digital printingtechnologies. They have created a database of case studies showing companies that have successfully implemented personalizedcommunication in their marketing campaigns. The purpose of the project was therefore to analyze PODi case studies with the main objective of finding out if/how successfully the PODi-cases have been and what made them so successful. To collect the data found in the PODi cases the authors did a content analysis with a sample size of 140 PODi cases from the year 2008 to 2010. The study was carried out by analyzing the cases' measurable ways of success: response rate, conversion rate, visited PURL (personalized URL:s) and ROI (Return On Investment). In order to find out if there were any relationships to be found between the measurable result and what type of industry, campaign objective and media vehicle that was used in the campaign, the authors put up different research uestions to explore that. After clustering and merging the collected data the results were found to be quite spread but shows that the averages of response rates, visited PURL and conversion rates were consistently very high. In the study the authors also collected and summarized what the companies themselves claim to be the reasons for success with their marketing campaigns. The resultshows that the creation of a personalized campaign is complex and dependent on many different variables. It is for instance ofgreat importance to have a well thought-out plan with the campaign and to have good data and insights about the customer in order to perform creative personalization. It is also important to make it easy for the recipient to reply, to use several media vehicles for multiple touch points and to have an attractive and clever design.