Does Amazon Scare Off Customers? The Effect of Negative Spotlight Reviews on Purchase Intention

Online retailers provide review systems to consumers in order to improve perceived trustworthiness and boost sales. We examine the effects of review valence and valence intensity on consumer purchase intention. Review adoption emerges as a novel, important moderating variable. We find that positive reviews have a stronger effect on consumer purchase intention than negative reviews. Moderate reviews always lead to higher purchase intention than extreme reviews, but the size of the effect is greater for extremely negative reviews than moderately negative reviews. The effect is reversed for positive reviews. Our results imply that a recent innovation in Amazon’s review system, highlighting negative reviews along with positive spotlight reviews, must be designed carefully to avoid losing customers. Choosing the wrong combination of reviews can diminish the positive effect of spotlight reviews on sales by nearly 20%

Making Third-Party Sellers More Attractive—The Case of Amazon

We provide an analysis of third-party sellers on Amazon’s online marketplace from a customer’s viewpoint. While Amazon as a retailer sometimes directly competes with third-party sellers, Amazon is also interested in making the Amazon marketplace attractive for third-party sellers and making third-party sellers attractive to customers. Based on a large-scale survey (n=772) of Amazon customers in the U.S., we examine how much they like to buy from the different seller types (Amazon itself, third-party sellers with/without the Prime logo, i.e., with/without Fulfillment by Amazon). Among other results, we can show that the Prime logo on the seller side combined with a Prime subscription on the customer side significantly increases trust in a third-party seller, ultimately increasing third-party sales on Amazon’s online marketplace. Furthermore, third-party sellers are implicitly incentivized to use the Fulfillment by Amazon service, which generates additional logistics service revenue for Amazon

Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes

Consumer decision-making is usually modeled as a two-stage process of initial screening and subsequent in-depth consideration of attractive alternatives. Recent evidence indicates, however, that consideration is not necessarily the direct precursor of choice: consumers may narrow their consideration sets further to the choice set. We examine how choices in a three-stage purchase decision process evolve by observing consumer behavior in an online shopping experiment. Specifically, we examine the effects of system- and user-generated recommendations (SGR and UGR) moderated by gender. Our contribution to information systems research is threefold. First, we suggest a new experimental design for observing the stages in purchasing processes. Second, we show that effects of SGR and UGR indeed vary between stages. UGR reduce consideration set size and increase females’ choice probability while SGR reduce males’ transition probabilities. Third, our results suggest that omitting choice set formation can lead to incorrect estimates of choice probabilities

Sanal kullanıcı yorumlarının tüketicilerin satın alma niyeti üzerindeki etkisi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Son yıllarda internet teknolojilerinde ve mobil cihazlarda meydana gelen gelişmelerle beraber internet kullanımı artış göstermiş ve dolayısıyla internet üzerinden yapılan alışveriş miktarı da artış göstermiştir. Tüketiciler yapacağı alışverişlerde ürün ve hizmet hakkında bilgiye ihtiyaç duymaktadır ve ihtiyaç duyduğu bilgiye ulaşırken de en çok kullandığı kaynaklardan biri şüphesiz sanal kullanıcı yorumlarıdır. Buradan hareketle, bu çalışmanın esas amacı tüketicilerin satın alma kararı verirken kullanıcı yorumlarından etkilenip etkilenmediğini belirlemektir Bu çalışmada öncelikle literatür incelendikten sonra sanal kullanıcı yorumları üzerine yapılan çalışmalarda en çok kullanılan faktörler belirlenerek bir araştırma modeli oluşturulmuştur. Araştırma bağlamında online alıveriş yapan tüketicilere anket uygulanmıştır. Toplam 786 adet anket araştırma için uygun bulunmuştur. Elde edilen veriler üzerinde tanımlayıcı istatistik analizleri, doğrulayıcı faktör analizi ve yapısal eşitlik modeli kullanılmıştır. Araştırma bulguları elde edilen verilerin kullanılan modeli desteklemekte olduğunu ortaya koymaktadır. Araştırma sonuçlarına göre sanal kullanıcı yorumlarının satın alma davranışına etkisini ortaya koyan 6 faktörden "yorumun güvenilirliği, yorumun miktarı, yorumun zamanlaması ve yorumun faydası" faktörlerinin satın alma davranışına pozitif yönde etki ettiği belirlenmiştir. Satın alma davranışına en fazla etki eden faktörler ise yorumun miktarı ve yorumun güvenilirliğidir. Diğer iki faktör "yorumun kalitesi ve yorumun kapsamının" satın alma sürecine herhangi bir etkisinin bulunmadığı sonucuna ulaşılmıştır. Eğitim seviyesi yüksek bir kitleye anket uygulanmıştır ve sonucunda katılımcıların önemli bir kısmının sanal kullanıcı yorumlarına güvenerek ürün satın aldığını tespit edilmiştir. Anahtar Kelimeler: Sanal Kullanıcı Yorumları, eWOM, Satın Alma Karar Süreci, ETicaret,Ürün YorumlarıIn recent years, the rate of internet usage has increased along with the developments in internet technologies and mobile devices and thereby the amount of shopping, made via internet has also increased. Consumers need information about products and services for shopping, and one of the most used sources is comments of virtual consumers while accessing the information that will be needed. Thus, the main aim of the study is to determine whether consumers are influenced by consumer comments while deciding to buy. Firstly, in this study after the literature was examined, a research model was established by determining the most used factors in the studies on virtual consumers comments. In the context of the study, survey was applied to consumers who shops online. Totally, 786 survey were approved for the research. Descriptive statistical analyzes, confirmatory factor analysis and structural equation model were used on the obtained data. The research findings suggest that the data obtained has supported the research model which was used. According to the results of the study, it was determined that the four of the six factors that influences the buying behavior of the virtual consumer comments have a positive effect on the purchasing behavior and these factors are "reliability of interpretation, amount of interpretation, timing of interpretation and utilization of interpretation". The amount of comments and the reliability of the interpretation are the factors that have at most effect on buying behavior. The other two factors "interpretation quality and scope of comment" have no effect on the purchasing process. The survey was applied to a group, with a high education level and as a result, it was determined that most of the participants have purchased products by relying on virtual consumers comments. Keywords: User Reviews, Online Consumer Reviews, eWOM, Purchase Decision Process, E-Commerce, Product Review

Proceedings der 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) - Band 1

The two volumes represent the proceedings of the 11th International Conference on Wirtschaftsinformatik WI2013 (Business Information Systems). They include 118 papers from ten research tracks, a general track and the Student Consortium. The selection of all submissions was subject to a double blind procedure with three reviews for each paper and an overall acceptance rate of 25 percent. The WI2013 was organized at the University of Leipzig between February 27th and March 1st, 2013 and followed the main themes Innovation, Integration and Individualization.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge ManagementDie zweibändigen Tagungsbände zur 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) enthalten 118 Forschungsbeiträge aus zehn thematischen Tracks der Wirtschaftsinformatik, einem General Track sowie einem Student Consortium. Die Selektion der Artikel erfolgte nach einem Double-Blind-Verfahren mit jeweils drei Gutachten und führte zu einer Annahmequote von 25%. Die WI2013 hat vom 27.02. - 01.03.2013 unter den Leitthemen Innovation, Integration und Individualisierung an der Universität Leipzig stattgefunden.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge Managemen