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            <front>

                <journal-meta>
                                                                <journal-id>akusbd</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">1302-1265</issn>
                                        <issn pub-type="epub">2149-4894</issn>
                                                                                            <publisher>
                    <publisher-name>Afyon Kocatepe University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.32709/akusosbil.998383</article-id>
                                                                                                                                                                                            <title-group>
                                                                                                                        <article-title>Kitlelerin Gücü Adına Güç Bende Artık: Başarılı Kitle Fonlaması Projelerin Özelliklerinin Tespit Edilmesi</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="en">
                                    <trans-title>By the Power of Grayskull, I Have the Power: Determining the Characteristics of Successful Crowdfunding Projects</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-5127-6726</contrib-id>
                                                                <name>
                                    <surname>Gürler</surname>
                                    <given-names>Cem</given-names>
                                </name>
                                                                    <aff>YALOVA ÜNİVERSİTESİ, YALOVA İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20220327">
                    <day>03</day>
                    <month>27</month>
                    <year>2022</year>
                </pub-date>
                                        <volume>24</volume>
                                        <issue>1</issue>
                                        <fpage>280</fpage>
                                        <lpage>289</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20210921">
                        <day>09</day>
                        <month>21</month>
                        <year>2021</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20220104">
                        <day>01</day>
                        <month>04</month>
                        <year>2022</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 1999, Afyon Kocatepe University Journal of Social Sciences</copyright-statement>
                    <copyright-year>1999</copyright-year>
                    <copyright-holder>Afyon Kocatepe University Journal of Social Sciences</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Kitle fonlaması, fon bulmada sıkıntı yaşayan proje sahipleri için alternatif bir finansman yöntemi olarak kendine yer edinmiştir. Proje sahipleri, kitle fonlaması platformlarına projelerini sunarak, bireylerden fon talep etmekte ve topladıkları fonlarla projelerini gerçekleştirebilmektedir. Projeler, platformda yayınlandıktan sonra proje güncellenebilir, fon sağlayanlar tarafından yorum yapılabilir ve böylelikle projenin başarı durumu etkilenebilmektedir. Bu nedenle mevcut çalışmada, kitle fonlaması projelerinin başlangıçlarında başarı durumlarının tespit edilmesi amaçlanmıştır. Literatürdeki çalışmalardan farklı olarak, sadece projenin başlangıç aşamasında, proje sahibinin değiştirebileceği sayısal değişkenler analize dahil edilmiştir. Veri setinde, ödül temelli kitle fonlaması platformu olan Kickstarter.com’a sunulan ve çalışmanın amacına uyan toplamda 4758 proje ile 8 değişken bulunmaktadır. Lojistik regresyon analizi sonuçlarına göre, kısa tanıtım uzunluğu, tanıtım uzunluğu ve video sayısının proje başarısını etkilemediği, istenen fon miktarı, sık kullanılan soru sayısı, ödül sayısı, görsel sayısı ve proje süresinin proje başarısını etkilediği tespit edilmiştir. Ayrıca kurulan modelle, projelerin başarı durumları %75.6 doğru sınıflandırılmıştır. Lojistik regresyon analizinin haricinde, t-test ve korelasyon analizleri de veriye uygulanmış ve sonuçlar yorumlanmıştır.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="en">
                            <p>Crowdfunding has emerged as an alternative financing method for project owners who have difficulties in finding funds. Project owners submit their projects to crowdfunding platforms, request funds from individuals and put their projects into action with the funds they collect. After the projects are published on the platform, the project can be updated, funders can make comments, and thus the project’s success can be affected. Therefore, in the present study, it is aimed to determine the success of crowdfunding projects at the beginning. Unlike the studies in the literature, only the numerical variables that the project owner can change at the beginning of the project are included in the analysis. In the dataset, there are 8 variables with a total of 4758 projects submitted to Kickstarter.com, a reward-based crowdfunding platform. According to the results of the logistic regression analysis, it was determined that description length, full description length and number of videos did not affect success of a project, while goal amount of funding, number of frequently used questions, the number of awards, the number of images and the project duration affected the success of the project. The classification rate of the proposed model was %75.6. In addition to the logistic regression analysis, t-test and correlation analyzes were also applied to the data and the results were interpreted.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Kitle fonlaması</kwd>
                                                    <kwd>  sınıflandırma</kwd>
                                                    <kwd>  lojistik regresyon.</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="en">
                                                    <kwd>Crowdfunding</kwd>
                                                    <kwd>  classification</kwd>
                                                    <kwd>  logistic regression</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
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