백현미 교수

With the growth of e-commerce, online consumer reviews have increasingly become important sources of information that help consumers in their purchase decisions. However, the influx of online consumer reviews has caused information overload, making it difficult for consumers to choose reliable reviews. For an online retail market to succeed, it is important to lead product reviewers to write more helpful reviews, and for consumers to get helpful reviews more easily by figuring out the factors de

(ProQuest: ... denotes formulae omitted.)1. IntroductionConsumers encounter difficulties in making online purchase decisions because information is limited in online market [Dimoka et al. 2012]. Online reviews, defined as product information created by users based on personal usage [Chen & Xie 2008], are important sources of information that can help consumers make purchase decisions [Basuroy et al. 2003; Chen et al. 2008; Chevalier & Mayzlin 2006; Dellarocas et al. 2007; Duan et al. 2008]. Ther

This study examines multiple aspects of e-cigarette mentions on different online media channels during the announcement and implementation of a cigarette tax increase policy in South Korea. It consists of three parts. First, a Naive Bayes classifier was used to sort 59,147 tweets about e-cigarettes into five pre-designated themes - promotion, health, policy, product evaluation, and price - and to determine their relative prevalence. Second, social network analysis was used to identify the themes

This study investigates the impact of tweets on box office revenue. Specifically, the study focuses on the times when tweets were written by examining the impact of pre- and post-consumption tweets on box office revenue; an examination that is based on Expectation Confirmation Theory. The study also investigates the impact of intention tweets versus subjective tweets and the impact of negative tweets on box office revenue. Targeting 120 movies released in the US between February and August 2012,

With the rapid growth of OTT platforms, consumption of TV shows is transcending national boundaries. In the vein, this study investigates the similarities between countries in TV show consumption and the role of cultural factors in determining the similarities. We collected data of daily Top 10 TV shows from 80 countries between January 1 and 20 June 2021, on Netflix, provided by Flixpatrol. We applied a two-step approach: First, social network analysis was conducted for estimating similarities

최근 온라인 쇼핑 활동의 증가와 함께 소비자들은 온라인상에서의 제품에 대한 리뷰를 합리적인 구매 결정을 내리기 위한 중요한 정보로 활용하고 있다. 하지만 소비자들은 많은 양의 온라인 리뷰 중 그들의 구매 결정에 유익하게 활용될 리뷰를 선택하기가 쉽지 않다. 따라서 본 연구에서는 정교화 가능성 이론(elaboration likelihood model)을 바탕으로, 유익한 온라인 소비자 리뷰를 결정하는 요인이 무엇인지 알아보고, 구매하고자 하는 제품의 가격에 따라 유익한 리뷰를 결정짓는 요인이 어떻게 변화되는지를 분석하고자 한다. 본 분석을 위해 아마존 닷컴의 75,226개의 온라인 소비자 리뷰 데이터를 수집하고, 리뷰 메시지의 감정어 분석 (sentimental analysis)을 통해 메시지 내용에 대한 정량변수도 확보하였다. 다중회귀분석 결과, 리뷰 점수, 리뷰어에 대한 랭킹 정보를 포함하는 주변적 단서(peripheral cues)와 리뷰 메시지의 단어 수, 부정어 비율의 중심적

This study examines the factors that influence the popularity of Korean TV drama (K-drama), which has recently become popular worldwide through global over-the-top (OTT) platforms. Economic and cultural factors are generally used to explain international media flows, but these factors are insufficient to clarify the global popularity of K-dramas. Many scholars have tried to link the recent popularity of K-dramas with Korean pop (K-pop). In particular, the fandom of K-pop represented by BTS was c

Open-source software development projects are well suited for exploring new ideas and acquiring knowledge from developers outside of the project. In this paper, we examine the impact of external developers on innovation in open-source software development from the perspective of organizational learning theory. We examine the roles of external and internal developers, who “explore” and “exploit,” respectively, on the innovation performance of 17 691 open-source software development projects whose

Because online news comments have a strong influence on the reader’s perception of public opinion, there is a call for efforts to reduce the adverse impact of online news comments, particularly malicious ones. Although many online news platforms currently use technology to detect malicious comments automatically, there is still a technical limit in identifying malicious comments. To improve detection accuracy, it is necessary to understand not only malicious comments but also malicious commenter