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Hyunmi Baek

Bio: Hyunmi Baek is an academic researcher from RMIT University. The author has contributed to research in topics: Helpfulness & The Internet. The author has an hindex of 9, co-authored 35 publications receiving 591 citations. Previous affiliations of Hyunmi Baek include Hanyang University & College of Business Administration.

Papers
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Journal ArticleDOI
TL;DR: The results show that both peripheral cues, including review rating and reviewer's credibility, and central cues, such as the content of reviews, influence the helpfulness of reviews.
Abstract: 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 determining the helpfulness of online reviews. For this research, 75,226 online consumer reviews were collected from Amazon.com using a Web data crawler. Additional information on review content was also gathered by carrying out a sentiment analysis for mining review text. Our results show that both peripheral cues, including review rating and reviewer's credibility, and central cues, such as the content of reviews, influence the helpfulness of reviews. Based on dual process theories, we find that consumers focus on ...

459 citations

Journal ArticleDOI
TL;DR: The results indicate that Twitter influences on box office revenue were greater in the initial stage of a movies opening, because of its high immediacy and diffusion characteristics.

47 citations

Journal Article
TL;DR: This article used the normative social influence concept and posits that online reviews that provide a rating similar to the average product rating, which is an intensive form of customer opinion, are helpful.
Abstract: (ProQuest: ... denotes formulae omitted.)1. IntroductionConsumers encounter difficulties in making online purchase decisions because product information is limited in the online market [Dimoka et al. 2012]. Online reviews, defined as "product information created by users based on personal usage experience" [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]. Therefore, consumers consult online reviews, written by other consumers who have bought the product, to reduce the uncertainty of their purchase decision.However, online reviews are not always valuable. Online markets that use online reviews to increase their sales volume must identify the helpful reviews among a huge number of online reviews. Many online markets, such as Amazon.com, have attempted to measure the helpfulness of online reviews to provide their consumers with the most informative ones, thereby reducing the information overload caused by rapid increase of reviews.Previous studies on the factors that determine the helpfulness of online reviews have considered several factors; such as review rating [Cao et al. 2011; Ghose & Ipeirotis 2007; Mudambi & Schuff 2010], reviewer credibility [Baek et al. 2012; Forman et al. 2008], word count [Baek et al. 2012; Kim et al. 2006; Mudambi & Schuff 2010], subjectivity [Ghose & Ipeirotis 2011], and readability [Ghose & Ipeirotis 2011; Zhu et al. 2014]. Many studies have been conducted to determine the effect of review ratings (i.e., review extremity) on review helpfulness [Cao et al. 2011; Ghose & Ipeirotis 2007]. However, these studies have provided inconclusive findings regarding the relationship between the helpfulness of online reviews and rating extremity. Several studies have proposed that reviews that offer extreme ratings are more helpful compared with reviews that provide moderate ratings [Cao et al. 2011; Ghose & Ipeirotis 2007]. Mudambi and Schuff [2010] determined that review ratings influence review helpfulness, but the relationship between review helpfulness and review rating is not consistent. To explain this result, they suggested that the type of product (either an experience good or a search good) has a moderating effect on the relationship between rating extremity and review helpfulness.Owing to their limited opportunities to experience e-commerce products, people tend to form their viewpoints on these products based on the opinions of others. Online reviews usually provide a large number of opinions, thereby establishing attitudes toward a product of the majority easily. The present research suggests that these attitude-creating mechanisms can be explained through normative social influence, which is "the influence to conform to the positive expectations of another" [Deutsch & Gerard 1955]. This study uses the normative social influence concept and posits that online reviews that provide a rating similar to the average product rating, which is an intensive form of customer opinion, are helpful. Average rating, one of the important variants of group decision making (such as voting, consensus, averaging, and prediction market) and a type of collective intelligence [Malone et al. 2010] , is defined as "the capacity of human collectives to engage in intellectual cooperation in order to create, innovate, and invent" [Levy 2010]. This study demonstrates through the perspective of normative social influence that previous studies have provided inconsistent findings because these have failed to consider that consumer attitudes to product quality can be affected by product average rating.To this end, this study collects 15,059 online review data on various goods sold on Amazon.com, examines the relationship between review rating and review helpfulness, and investigates how this relationship changes depending on the average product rating. …

35 citations

Journal ArticleDOI
TL;DR: This paper tries to explain how rating dispersion impacts the process of review consumption based on the heuristic systematic model and provides new perspectives to address the inconsistent findings of the previous studies on rating and review helpfulness, and the practical implications for e-commerce platforms.

29 citations

Journal ArticleDOI
TL;DR: It is found that eWom plays an important role in mobile application downloads and external eWOM, which is provided by third-party informediaries, plays anImportant role in paid application downloads because consumers are motivated to make an extensive search effort to get additional information.
Abstract: In this study, we conduct empirical research to identify the effect of electronic word-of-mouth eWOM on the downloading of mobile applications. In addition, we examine how consumers' involvement affects the relationship between eWOM and mobile application downloads, comparing consumer behaviours for free and paid application downloads. For this analysis, we use actual data from T store, the largest mobile application store in Korea. We find that eWOM plays an important role in mobile application downloads. Furthermore, external eWOM, which is provided by third-party informediaries, plays an important role in paid application downloads because consumers are motivated to make an extensive search effort to get additional information. From a practical perspective, this study provides strategic directions on eWOM management to mobile application stakeholders.

27 citations


Cited by
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01 Jan 2012

3,692 citations

Proceedings Article
01 Jan 1991
TL;DR: It is concluded that properly augmented and power-controlled multiple-cell CDMA (code division multiple access) promises a quantum increase in current cellular capacity.
Abstract: It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >

2,951 citations

01 Jan 2009
TL;DR: Wang et al. as discussed by the authors developed a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings, which indicated a significant relationship between online consumer reviews and business performance of hotels.
Abstract: Despite hospitality and tourism researchers’ recent attempts on examining different aspects of online word-of-mouth [WOM], its impact on hotel sales remains largely unknown in the existing literature. To fill this void, we conduct a study to empirically investigate the impact of online consumer-generated reviews on hotel room sales. Utilizing data collected from the largest travel website in China, we develop a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings. Our results indicate a significant relationship between online consumer reviews and business performance of hotels.

877 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify the factors affecting the perceived usefulness of online consumer reviews by investigating two aspects of online information: (1) the characteristics of review providers, such as the disclosure of personal identity, the reviewer's expertise and reputation, and (2) reviews themselves including quantitative (i.e., star ratings and length of reviews) and qualitative measurements (e.g., perceived enjoyment and review readability).

692 citations

Journal ArticleDOI
TL;DR: The integrated view of the extant literature that the study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field of social media research.
Abstract: Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field.

670 citations