Logtail phenominon8/3/2023 ![]() ![]() Second, the stages followed on this crawling process, which are the identification and collection of important data, and the maintenance of the gathered data. First, the implementation of an effective web crawler that can gather and identify big amounts of user-generated content. ![]() Likewise, given the volume of the user-generated content in the web and its speed of change this Thesis also presents two important highlights in this regard. More specifically, this Thesis proposes an approach for detecting whether there is a long tail for each product type and thus, cases should be differentiated when niche products represent a significant portion of overall product sales. In this regard, the results within this Thesis might indicate that vendors could adopt alternative product strategies depending on with which niche product type (search or experience good) the tails of sales distribution would be formed. Whereas most eWOM studies focus just on the potential of eWOM facilitating the long tail effect to find rare or niche products (Hennig-Thurau, Gwinner, Walsh, & Gremler, 2004 Khammash & Griffiths, 2011) and how eWOM is enabling zero-cost dissemination of information about products (Odić, Tkalčič, Tasič, & Košir, 2013) and so forth, not many noticed that for each product type enclosed in the tail of the sales distribution there might be different impacts. However, this Thesis goes beyond and applies new methodologies –elbow criterion– and extends others –power-law distribution– by Clauset, Shalizi and Newman (2009) to mathematically measure the long tail in other environments, such as the eWOM community Ciao. Many authors have given a good understanding of the main idea behind long tail within sales distributions in product markets such as Amazon (Brynjolfsson, Hu, & Smith, 2003 Brynjolfsson, Hu, & Smith, 2010). In that respect, the distribution of product sales is changing due to the increment of product information available to consumers (Brynjolfsson, Hu, & Smith, 2010) facilitating the long tail phenomenon (Anderson 2004). Thus, through eWOM communities, a great audience of users is able to acquire knowledge from reviews concerning products and services that are less popular to the majority. Through eWOM, users can freely post their reviews about any product or service, and share those reviews with other users in order to better understand a product (Hennig-Thurau, et al. They provide rich and objective product information that is influencing customers’ decision making (Gu, Tang and Whinston 2013, Kim and Gupta 2009, Zacharia, Moukas and Maes 2000), due to the credibility, empathy and relevance they offer to customers as opposed to the information provided by marketer-designed websites (Bickart and Schindler 2001). eWOM communities have emerged to influence customers directly and create interest with efficacy and flexibility in spite of geographic boundaries (Duan, Gu and Whinston 2008). Tribunal Calificador de la Tesis: Sergio Luis Toral Marín ( presid.), Jorge Arenas Gaitán ( secret.), Jesús Cambra-Fierro ( voc.), Josep Domènech i de Soria ( voc.), Thomas Gillier ( voc.)Ĭontinuous communication among people and ubiquitous online access are fundamental characteristics of online eWOM communities that are facilitating the distribution of a broad range of products and services.Lectura: En la Universidad de Sevilla ( España ) en 2017.Directores de la Tesis: María del Rocío Martínez Torres ( dir.Study of the long tail formation within an ewom community : The case of ciao UK ![]()
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