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81.
Word-of-mouth has been shown to differ across cultures but the extent to which these differences extend to the online environment has not been investigated. This study examines the content of 5993 discussion postings to U.S.- and China-based discussion boards during two 90-day periods in 2004 and 2005. The results show significant differences in the behavior of participants on the different discussion boards; those on the China-based discussion boards engaged in higher levels of information-seeking than their U.S. counterparts, and lower levels of information-giving. Participants on the Chinese discussion boards also engaged in significantly higher (and increasing) levels of discussion regarding the Country-of-Origin (CoO) of products. This first study of cross-cultural differences in CoO effects online revealed an important extension to previous offline studies of CoO effects, finding strong negative CoO effects which appeared to be largely independent of product quality, relating instead to nationally based animosity towards the CoO.  相似文献   
82.
eWOM communication is certainly one of the most influential drivers of purchase decisions. However, little knowledge is available on the factors that influence the trustworthiness and credibility of eWOM communication. To address this research gap, the study aimed to assess whether the three independent variables (homophily, authority and interestingness) have a significant positive indirect effect on eWOM credibility, as mediated by source trustworthiness. The context of the study was fast-food retailers. A cross-sectional survey was conducted and the target population included all Generation Y consumers that visited the fast-food market leaders in Gauteng province, the economic hub of South Africa. Lisrel version 8.8 was used to analyse the results obtained from a realised sample of 362 respondents and to compile the structural equation model. The findings of the study support the research hypotheses formulated and offer a theoretical contribution by enhancing knowledge of the relationships between the variables investigated as well as the factors that could influence eWOM credibility. The study also has meaning to fast-food retailers, as the model could be applied to formulate appropriate strategies and influence the online conversations and perceptions of consumers.  相似文献   
83.
Using qualitative data from consumers who have previously purchased online and who read online product reviews, this work expands current thinking on determinants of the impact of electronic word-of-mouth (eWOM) communications on consumer decision making. Specifically, beyond source credibility, findings suggest that consumers also assess how similar the source of eWOM is to them in terms of personality and product usage. In addition to source credibility, the notion of message relevance is introduced as the second first-order factor of eWOM impact. In turn, the underlying dimensions of source credibility (expertise and trustworthiness) and message relevance (persona similarity and usage similarity) constitute four second-order determinants of eWOM impact; providing a comprehensive view of the determinants of eWOM impact. Additionally, a conceptual framework depicting the sequential and cumulative effect of the four assessment dimensions along with possible gender differences in the processes used to assess eWOM credibility and message relevance are discussed.  相似文献   
84.
Online consumer product reviews, a form of electronic word-of-mouth (eWOM), have attracted increased attention from researchers. This paper examines the persuasiveness of eWOM. Drawing on regulatory focus theory, the authors propose that the consumption goals that consumers associate with the reviewed product moderate the effect of review valence on persuasiveness. Data from lab experiments and actual online retailers suggest that consumers who evaluate products associated with promotion consumption goals perceive positive reviews to be more persuasive than negative ones (i.e., a positivity bias). Conversely, consumers who evaluate products associated with prevention consumption goals perceive negative reviews to be more persuasive than positive ones (i.e., a negativity bias).  相似文献   
85.
Despite the growing importance of influencers' word-of-mouth through audiovisual content, little is known about its effect on consumers' brand evaluation, purchase intentions, and decisions. Drawing on Ohanian's source credibility framework, we conducted two studies across different influencers, product categories, and respondents' gender and tested the hypotheses using covariance-based and partial least square structural equation modeling. Study 1 focuses on a mega-influencer of cosmetic and beauty brands and predominantly involves female respondents. The findings show that the influencer's attractiveness affects perceptions about source expertise and source trustworthiness but not brand attitude, while source expertise predicts source trustworthiness, and both mediate the effect of source attractiveness on brand attitude. In contrast, brand attitude predicts purchase intention and mediates the impact of source credibility dimensions. Study 2 focuses on various influencers of hedonic products (lifestyle, fashion, and beauty). The results confirm the influence of source attractiveness and expertise on source trustworthiness, which ultimately predicts consumer purchase decisions. This study reveals the interdependencies between different source constructs, contributing to source credibility theory. Furthermore, we show that the effect of source dimensions that are relevant in the celebrity endorsement literature, such as source attractiveness, do not directly influence consumers' intentions and decisions in the context of influencers' electronic word of mouth. Finally, the two studies confirm that only influencers perceived as honest and sincere can influence consumers' purchase decisions.  相似文献   
86.
The growth of the Internet has led to massive availability of online consumer reviews. So far, papers studying online reviews have mainly analysed how non-textual features, such as ratings and volume, influence different types of consumer behavior, such as information adoption decisions or product choices. However, little attention has been paid to examining the textual aspects of online reviews in order to study brand image and brand positioning. The text analysis of online reviews inevitably raises the concept of “text mining”; that is, the process of extracting useful and meaningful information from unstructured text. This research proposes an unified, structured and easy-to-implement procedure for the text analysis of online reviews with the ultimate goal of studying brand image and brand positioning. The text mining analysis is based on a lexicon-based approach, the Linguistic Inquiry and Word Count (Pennebaker et al., 2007), which provides the researcher with insights into emotional and psychological brand associations.  相似文献   
87.
Mobile devices are ubiquitous in the lives of modern consumers, who use them for information-seeking and purchasing activities, fostering the emergence of m-commerce. This trend has been exacerbated by the COVID-19 pandemic, which has boosted m-commerce growth in both developed and developing countries. Hence, there is a need for cross-cultural research concerning the factors affecting behavioural intentions. Drawing upon the hedonic information systems model, we measure the impact of utilitarian factors on satisfaction, repurchase intention, and eWOM through the mediation of enjoyment across two countries characterized by different stages of m-commerce readiness and culture: China and Italy. Findings suggest that the impact of utilitarian factors on satisfaction is stronger among Italian users than Chinese users. On the contrary, for Chinese users, who use their mobile phones as a primary device to shop online, the mediation effect of enjoyment on satisfaction and eWOM is stronger. With this study, we contribute to cross-cultural research in m-commerce and provide guidelines to mobile retailers operating in diverse international markets.  相似文献   
88.
Customers increasingly rely on reviews for product information. However, the usefulness of online reviews is impeded by fake reviews that give an untruthful picture of product quality. Therefore, detection of fake reviews is needed. Unfortunately, so far, automatic detection has only had partial success in this challenging task. In this research, we address the creation and detection of fake reviews. First, we experiment with two language models, ULMFiT and GPT-2, to generate fake product reviews based on an Amazon e-commerce dataset. Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. We show that a machine classifier can accomplish this goal near-perfectly, whereas human raters exhibit significantly lower accuracy and agreement than the tested algorithms. The model was also effective on detected human generated fake reviews. The results imply that, while fake review detection is challenging for humans, “machines can fight machines” in the task of detecting fake reviews. Our findings have implications for consumer protection, defense of firms from unfair competition, and responsibility of review platforms.  相似文献   
89.
Electronic word-of-mouth (eWOM) communication is considered an important source of information for consumers. In existing frameworks and empirical studies, factors that lead to eWOM influence have been categorised into three essential elements equivalent to the three elements of communication processing: source, receiver and message. eWOM requires a more elaborate form of information processing, given the many-to-many nature of such communications and that the types of information processing differ between novice and experienced consumers. However, there is no conceptualisation that demonstrates the relationships among the factors of eWOM from this critical information processing perspective. Further, there is limited discourse on the situation and communication channel, although the situation and platform characteristics shape the nature of communication in the digital age. This paper reports insights obtained from an extensive literature review and presents a broader categorisation encompassing the factors of source, receiver, message, situation, task involvement and channel. Research propositions and recommendations for further research into eWOM processing are offered.  相似文献   
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