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Author

Neil Rabjohn

Other affiliations: York University
Bio: Neil Rabjohn is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Online participation & The Internet. The author has an hindex of 3, co-authored 3 publications receiving 980 citations. Previous affiliations of Neil Rabjohn include York University.

Papers
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Journal ArticleDOI
TL;DR: An information adoption model was developed to examine the factors affecting information adoption of online opinion seekers in online customer communities and found comprehensiveness and relevance to be the most effective components of the argument quality construct.
Abstract: Purpose – Web‐based technologies have created numerous opportunities for electronic word‐of‐mouth (eWOM) communication. This phenomenon impacts online retailers as this easily accessible information could greatly affect the online consumption decision. The purpose of this paper is to examine the extent to which opinion seekers are willing to accept and adopt online consumer reviews and which factors encourage adoption.Design/methodology/approach – Using dual‐process theories, an information adoption model was developed to examine the factors affecting information adoption of online opinion seekers in online customer communities. The model was tested empirically using a sample of 154 users who had experience within the online customer community, Openrice.com. Users were required to complete a survey regarding the online consumer reviews received from the virtual sharing platform.Findings – The paper found comprehensiveness and relevance to be the most effective components of the argument quality construct ...

1,105 citations

Proceedings ArticleDOI
07 Jan 2008
TL;DR: The factors affecting information adoption of online opinion seekers in online forums are investigated, based on the information adoption model, and implications for both researchers and practitioners are provided.
Abstract: The Internet has revolutionized the way people and consumers share and acquire knowledge. Web-based technologies have created numerous opportunities for electronic word-of-mouth (eWOM) communication and online interpersonal influence. This phenomenon impacts online retailers as this easily accessible information could greatly affect the online consumption decision. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online comments and which factors encourage adoption. This research investigates the factors affecting information adoption of online opinion seekers in online forums, based on the information adoption model. The model is then tested quantitatively by using a sample of 154 users who have experience within the online community, Openrice.com. Users were required to complete a survey regarding comments taken from the virtual sharing platform. The data reflected several elements that determined users' adoption level. The results provide support to the research model. Implications for both researchers and practitioners are provided.

51 citations

Proceedings Article
01 Jul 2007
TL;DR: A research model of user intention to recommend the community to others is developed and test, finding intention to spread positive word of mouth is proposed to be determined by satisfaction, commitment, and group norm.
Abstract: To better understand the sustainability of a virtual professional community, the authors develop and test a research model of user intention to recommend the community to others. Specifically, intention to spread positive word of mouth is proposed to be determined by satisfaction, commitment, and group norm, with satisfaction and group norm positively impacting commitment. Using data obtained from users of a virtual professional community (an educational portal), the results supported nearly all hypothesized relationships. Only the relationship between satisfaction and commitment was not found to be significant. The authors conclude with a discussion of the findings and implications for both theory and practice.

3 citations


Cited by
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Journal IssueDOI
TL;DR: It is found that microblogting is an online tool for customer word of mouth communications and the implications for corporations using microblogging as part of their overall marketing strategy are discussed.
Abstract: In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions. We investigated the overall structure of these microblog postings, the types of expressions, and the movement in positive or negative sentiment. We compared automated methods of classifying sentiment in these microblogs with manual coding. Using a case study approach, we analyzed the range, frequency, timing, and content of tweets in a corporate account. Our research findings show that 19p of microblogs contain mention of a brand. Of the branding microblogs, nearly 20p contained some expression of brand sentiments. Of these, more than 50p were positive and 33p were critical of the company or product. Our comparison of automated and manual coding showed no significant differences between the two approaches. In analyzing microblogs for structure and composition, the linguistic structure of tweets approximate the linguistic patterns of natural language expressions. We find that microblogging is an online tool for customer word of mouth communications and discuss the implications for corporations using microblogging as part of their overall marketing strategy. © 2009 Wiley Periodicals, Inc.

1,753 citations

Journal Article
TL;DR: Relationship marketing is the development and outbreak of the combined theory of the traditional marketing, and it is a new idea as discussed by the authors, it puts more emphasis on the long-term and satisfying relation between enterprises and customers.
Abstract: Relationship marketing is the development and outbreak of the combined theory of the traditional marketing,and it is a new idea.It puts more emphasis on the long-term and satisfying relation between enterprises and customers.and its success relies on some conditions.Its application in China has its own characteristics.

1,172 citations

Journal ArticleDOI
01 Dec 2012
TL;DR: This study conducted a systematic review of eWOM research and identified key factors related to the major elements of the social communication literature and built an integrative framework explaining the impact of e WOM communication on consumer behavior.
Abstract: The notion of electronic word-of-mouth (eWOM) communication has received considerable attention in both business and academic communities. Numerous studies have been conducted to examine the effectiveness of eWOM communication. The scope of published studies on the impact of eWOM communication is large and fragmented and little effort has been made to integrate the findings of prior studies and evaluate the status of the research in this area. In this study, we conducted a systematic review of eWOM research. Building upon our literature analysis, we used the social communication framework to summarize and classify prior eWOM studies. We further identified key factors related to the major elements of the social communication literature and built an integrative framework explaining the impact of eWOM communication on consumer behavior. We believe that the framework will provide an important foundation for future eWOM research work.

1,132 citations

Journal ArticleDOI
TL;DR: In this article, a multi-dimensional analysis of electronic word-of-mouth (eWOM) communication has been conducted based on a systematic review of 190 studies and the key issues in current and emerging literature and propose important questions for future research.

800 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