A LATENT FIRICHLET ALLOCATION ANALYSIS OF ORGANIZATIONAL COMMUNICATION IN TWITTER / (Kayıt no. 290848)
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000 -BAŞLIK | |
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Sabit Uzunluktaki Kontrol Alanı | 03296nam a22002897a 4500 |
003 - KONTROL NUMARASI KİMLİĞİ | |
Kontrol Alanı | KOHA |
005 - EN SON İŞLEM TARİHİ ve ZAMANI | |
Kontrol Alanı | 20230829085629.0 |
008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ | |
Sabit Alan | 230829d2023 cy ||||| |||| 00| 0 eng d |
040 ## - KATALOGLAMA KAYNAĞI | |
Özgün Kataloglama Kurumu | CY-NiCIU |
Kataloglama Dili | eng |
Çeviri Kurumu | CY-NiCIU |
Açıklama Kuralları | rda |
041 ## - DİL KODU | |
Metin ya da ses kaydının dil kodu | eng |
090 ## - Yerel Tasnif No | |
tasnif no | D 338 |
Cutter no | A46 2023 |
100 1# - KİŞİ ADI | |
Yazar Adı (Kişi adı) | Agozie, Divine Quase |
245 10 - ESER ADI BİLDİRİMİ | |
Başlık | A LATENT FIRICHLET ALLOCATION ANALYSIS OF ORGANIZATIONAL COMMUNICATION IN TWITTER / |
Sorumluluk Bildirimi | DIVINE QUASE AGOZIE; SUPERVISOR: ASSOC. PROF. DR. MUESSER NAT |
246 23 - DEĞİŞİK BAŞLIK FORMU | |
Başlık uygun / kısa başlık | DISCERNING THE ROLE OF COMMUNICATIONS CONTENT FUNCTIONS AND MULTIMEDIA INCLUSION |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | 2023 |
300 ## - FİZİKSEL TANIMLAMA | |
Sayfa, Cilt vb. | ix, 142 sheets; |
Boyutları | 31 cm. |
Birlikteki Materyal | Includes CD |
336 ## - CONTENT TYPE | |
Source | rdacontent |
Content type term | text |
Content type code | txt |
337 ## - MEDIA TYPE | |
Source | rdamedia |
Media type term | unmediated |
Media type code | n |
338 ## - CARRIER TYPE | |
Source | rdacarrier |
Carrier type term | volume |
Carrier type code | nc |
502 ## - TEZ NOTU | |
Tez Notu | Thesis (PhD) - Cyprus International University. Institute of Graduate Studies and Research management Information Systems Department |
504 ## - BİBLİYOGRAFİ NOTU | |
Bibliyografi Notu | Includes bibliography (sheets 124-141) |
520 ## - ÖZET NOTU | |
Özet notu | ABSTRACT <br/>Sustained engagement with an audience remains a need for organizations, and many <br/>organizations have sourced technology-mediated channels, like social media, to <br/>achieve this objective in recent. Although not a recent concept, organizational <br/>communication online has received much recognition with the rise in the <br/>organizational use of online channels like social media for communication and <br/>providing value experience to users. The value experience perceived by users and the <br/>extent of interactivity on social media show how engaging audiences are. Few studies <br/>have looked at what drives this value experience in organizational communication. <br/>This study explores the role of message features and the functional use of posts by <br/>interest groups and discerns their effect on user engagement with and without <br/>multimedia inclusion on Twitter. A bi-term topic modelling technique is used to <br/>analyze posts from 323 organizations, and a Poisson regression model to assess the <br/>effect of the message features (Technical characteristics, User and Network <br/>characteristics and Content characteristics) and the content functions on user <br/>engagement. The results show that technical characteristics like images and word <br/>length of posts increased engagement. User and network characteristics as followers <br/>and type of group are the most important characteristics that drive engagement. <br/>Content functions including information, research, community, and news functions of <br/>posts also increased user engagement with organizational messages. This study bridges <br/>the gap in the service literature as it pertains to non-profit organizations (i.e., interest <br/>groups) by exploring organizational communication using communications content <br/>functions and message characteristics of Twitter posts. This study is among few to <br/>investigate content functions beyond the categorizations of message functions and the <br/>relationship between content functions and user engagement. <br/>Keywords: Latent Dirichlet Allocation, Organizational communication, Poisson <br/>regression model, Social-media, Twitter, User engagement. |
650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
Konusal terim veya coğrafi ad | Communication in organizations |
Alt başlık biçimi | Dissertations, Academic |
650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
Konusal terim veya coğrafi ad | Social media |
Alt başlık biçimi | Dissertations, Academic |
700 1# - EK GİRİŞ - KİŞİ ADI | |
Yazar Adı (Kişi adı) | Nat, Müesser |
İlişkili Terim | supervisor |
942 ## - EK GİRİŞ ÖGELERİ (KOHA) | |
Sınıflama Kaynağı | Dewey Onlu Sınıflama Sistemi |
Materyal Türü | Thesis |
Geri Çekilme Durumu | Kayıp Durumu | Sınıflandırma Kaynağı | Kredi için değil | Koleksiyon Kodu | Kalıcı Konum | Mevcut Konum | Raf Yeri | Kayıt Tarih | Source of acquisition | Yer Numarası | Demirbaş Numarası | Son Görülme Tarihi | Fatura Tarihi | Materyal Türü | Genel / Bağış Notu | Toplam Ödünçverme |
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Dewey Onlu Sınıflama Sistemi | Tez Koleksiyonu | CIU LIBRARY | CIU LIBRARY | Tez Koleksiyonu | 29.08.2023 | Bağış | D 338 A46 2023 | T3381 | 29.08.2023 | 29.08.2023 | Thesis | Management Information Systems Department | ||||
Dewey Onlu Sınıflama Sistemi | CIU LIBRARY | CIU LIBRARY | Görsel İşitsel | 29.08.2023 | Bağış | D 338 A46 2023 | CDT3381 | 29.08.2023 | 29.08.2023 | Suppl. CD | Management Information Systems Department |