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E-recruiting has been a powerful tool for reaching the majority of job applicants around the world. Even though, previous literature has scarcely shed light on the factors responsible for the adoption of e-recruitment among job candidates. Originated from the technology acceptance model (TAM), this study aims to empirically examine the influence of online word-of-mouth in shaping job-seekers’ intentions for using e-recruitment websites.

A Google Docs-based online questionnaire was distributed via social media, LinkedIn and email to 740 participants, out of which 397 final responses were received. The partial least squares structural equation modeling using SmartPLS 3 was applied for evaluating the theoretical model.

This study empirically indicated that electronic word-of-mouth (eWOM) has a significant impact on perceived usefulness (PU), perceived ease of use (PEOU) and attitude. Whereas, PU and attitude fully mediate the relationship between eWOM and behavioral intentions (BI) of job-seekers towards e-recruitment.

This research contributes to the understanding of the relevance of eWOM in e-recruitment adoption. eWOM provides job-related information that plays a significant role in the usage of online recruitment systems such as LinkedIn, job portals and company websites. This study offered a valuable contribution to the existing body of literature on e-recruitment, developers and Web-based hiring service providers.

This investigation was the first attempt in the e-recruitment literature to explore the influence of eWOM on job-seekers’ intentions to adopt online recruitment platforms, including the mediating role of PU, PEOU and attitude in the association between eWOM and BI.

Considering the transition of communicational channels from physical to digital spaces, this study aims to provide a theoretical foundation for understanding engagement in electronic word of mouth (eWoM) among managers and customers in the hospitality and tourism industry.

This study uses the four aggregate dimensions, namely, performance expectancy, efforts expectancy, social influence and facilitations condition. Further, this paper uses the 14 second-order themes of the Unified Theory of Acceptance and Use of Technology with a data set that represents elements that can trigger eWoM, both from managers’ and customers’ perspectives. The process of data structuration follows thematic analysis and axial coding techniques.

The results of this study show that performance expectancy, facilitation conditions, social influence and effort expectancy all trigger positive eWoM generation in the hospitality and tourism industry indicating customers’ and managers’ perspectives.

This novel study provides a theoretical foundation and novel propositions for future research work on the role of novel antecedents that can trigger eWoM in the hospitality and tourism industry. This paper also provides a benchmark for practitioners and policymakers in their strategic decisions-making towards improving business performance through positive eWoM.

Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through referrals and word of mouth (WOM) has thus become an important goal for firms. In addition, mobile social networks have created valuable opportunities for eWOM. People are now able to discuss products and services of brands with their friends and acquaintances. The purpose of this paper is to examine the influence of eWOM information on consumers’ behavioral intentions in mobile social networks.

This study employed the information adoption model (IAM), theory of reasoned action and social exchange theory to investigate the influence of eWOM information on consumers’ behavioral intentions in mobile social networks. The study used 394 respondents to evaluate the proposed model using SmartPLS software.

Results show that the quality and credibility of eWOM information has a positive direct effect on perceived information usefulness. Attitude toward eWOM information mediates the influence of perceived information usefulness on information adoption. Also, attitude toward eWOM information has a significant positive influence on behavioral intentions, such as purchase intention and forwarding of eWOM information. However, information adoption does not have any significant relationship with the forwarding of eWOM information.

This study seeks to address the dearth of research in the field of mobile social networks, especially regarding eWOM information. The study proposes a new model and empirically validates the hypothesized relationships. This research can serve as a stepping-stone for future research in this field.

This research is one of the first studies focusing on the influence of eWOM information, especially in mobile social networks. The research offers comprehensive and empirically validated factors pertaining to eWOM information in mobile social networks. The results of this study may be useful also for practitioners and managers of online companies.

A new eWOM IAM in mobile social networks is proposed based on information characteristics and consumer behavior. The model is validated afterward.

This paper aims to summarize peer-reviewed journal articles on national cultures and electronic word of mouth (eWOM) behavior, identify the main findings and patterns among those studies and discuss research gaps that need to be addressed in the future.

A systematic review process was utilized to analyze peer-reviewed journal articles on both eWOM and national cultures. The main research questions were defined, then proceeded by the identification of exclusive and inclusive criteria to search for relevant articles, which were further filtered based on abstracts and full texts, and then scrutinized for main findings and major variables such as countries, cultural variables and data collection methods.

An analysis of 52 papers shows that national cultures, primarily Hofstede's dimensions, influence the willingness of individuals to share eWOM, how they write eWOM and the extent to which they use eWOM to make decisions. Although the reviewed studies have provided insightful implications for marketing theory and practice, the present paper has identified a number of important questions that warrant future research attention.

eWOM is continually being employed as a popular source of information for consumers throughout different countries to make their purchase decisions. However, eWOM behavior differs from country to country due to national cultures, and managers' eWOM strategies that work in one country may not be applicable in another. Therefore, there has been an increasing interest in this topic. Nevertheless, it remains unclear which subjects have been addressed and what areas are yet to be investigated. This paper presents a comprehensive review of how national cultures affect eWOM behavior by drawing upon prior research and provides directions for future research contributions.

The purpose of this paper is to determine the triggers of positive electronic word of mouth (eWOM) using real-time Big Data obtained from online retail sites/dedicated review sites.

In this study, real-time Big Data has been used and analysed through support vector machine, to segregate positive and negative eWOM. Thereafter, using natural language processing algorithms, this study has classified the triggers of positive eWOM based on their relative importance across six product categories.

The most important triggers of positive eWOM (like product experience, product type, product characteristics) were similar across different product categories. The second-level antecedents of positive eWOM included the person(s) for whom the product is purchased, the price and the source of the product, packaging and eagerness in patronising a brand.

The findings of this study indicate that the marketers who are active in the digital forum should encourage and incentivise their satisfied consumers to disseminate positive eWOM. Consumers with special interest for any product type (mothers or doctors for baby food) may be incentivised to write positive eWOM about the product’s ingredients/characteristics. Companies can launch the sequels of existing television or online advertisements addressing “for whom the product is purchased”.

This study identified the triggers of the positive eWOM using real-time Big Data extracted from online purchase platforms. This study also contributes to the literature by identifying the levels of triggers that are most, more and moderately important to the customers for writing positive reviews online.

Literature shows that the antecedents of eWoM have received limited attention and the present scales used for measuring eWoM in the hospitality and tourism industry are outdated. Therefore, this study aims to construct a new scale for the generation of positive eWoM in the hospitality and tourism industry.

This study developed a novel scale on eWoM based on the four dimensions of the unified theory of acceptance and use of technology.

The exploratory and confirmatory factor analysis confirms the factorial structure of the new scale. The exploratory factor analysis shows that “performance expectancy” has the highest impact on the constitution of positive eWoM with 8 items, followed by “social influence” and “facilitation condition” with 5 items each. The factor “effort expectancy” is found to have the lowest impact on the constitution of positive eWoM in the hospitality and tourism industry with 3 items. The confirmatory factor analysis in terms of the construct reliability, average variance extracted and maximum shared variance tests confirmed the model validity of the new scale.

This study ensures measuring eWoM with the latest norms that will assist in prudent policy formulation. These results insights into policymakers from the hospitality and tourism industry for the generation of positive eWoM towards their business which will help them achieve better customer loyalty.

The purpose of this paper is to identify electronic word-of-mouth (eWOM) customers from customer reviews. Thus, firms can precisely leverage eWOM customers to increase their product sales.

This research proposed a framework to analyze the content of consumer-generated product reviews. Specific algorithms were used to identify potential eWOM reviewers, and then an evaluation method was used to validate the relationship between product sales and the eWOM reviewers identified by the authors’ proposed method.

The results corroborate that online product reviews that are made by the eWOM customers identified by the authors’ proposed method are more related to product sales than customer reviews that are made by non-eWOM customers and that the predictive power of the reviews generated by eWOM customers are significantly higher than the reviews generated by non-eWOM customers.

The proposed method is useful in the data set, which is based on one type of products. However, for other products, the validity must be tested. Previous eWOM customers may have no significant influence on product sales in the future. Therefore, the proposed method should be tested in the new market environment.

By combining the method with the previous customer segmentation method, a new framework of customer segmentation is proposed to help firms understand customers’ value specifically.

This study is the first to identify eWOM customers from online reviews and to evaluate the relationship between reviewers and product sales.

The purpose of this paper is to build a conceptual framework which provides both practical and theoretical insights into drivers of consumer use of social network sites (SNSs) as an electronic word-of-mouth (eWOM) tool and its impact on brand image (BI) and purchase intention (PI).

For assessment of the research constructs, the measures proposed in the social psychology and marketing literature were adapted. These scales were examined for the face validity by the authors’ academic colleagues. Using the survey data collected from the students of the Islamic Azad University, these scales were further examined in terms of convergent and discriminant validity as well as reliability. Structural equation modelling technique was used to test the effect of eWOM antecedents on consumer eWOM intention and the eWOM impact on BI and consumer PI.

The results confirmed significance of the constructs consumer trust, informational influence, sense of belonging, altruism, moral obligation, and knowledge self-efficacy for consumer engagement in eWOM. The results further indicated that eWOM, in turn, played a significant role in shaping BI in the mind of consumers and their PI.

Obviously, university students do not exactly represent the whole population of SNSs members. The eWOM intention can be investigated across generations in terms of intergenerational differences. The authors admit that in addition to the constructs used in this study there are other equally important constructs that can be adapted from relevant fields (e.g. psychology) as the eWOM antecedents. As for eWOM consequences, different aspects of brand equity could be additionally explored and investigated.

The results of this study would help marketing department of companies and advertising agencies make advertisements in accordance with consumer characteristics. The results would also benefit providers of online platforms by giving them insight into behaviour of their members. Finally, the finding that eWOM intention is likely to create PI among consumers is of particular interest to producers of goods.

Given its bidimensional perspective to eWOM behaviour (i.e. considering both antecedents and consequences of eWOM), this study provides valuable insights into the phenomenon eWOM in the context of social networks as well as a basis for further research in this field.

Despite the importance of electronic word-of-mouth (eWOM) in e-commerce transactions on the global market, there is still limited understanding about the effect of eWOM sequence and its psychological mechanism in cross-cultural settings. Therefore, the purpose of this paper is to investigate the differences in brand attitude changes according to the eWOM sequence, as well as cross-culturally, based on thinking styles. Furthermore, the authors examine the moderated mediation effect of perceived cognition congruency across cultures to explain its underlying mechanism.

The authors use a 2 (eWOM sequence: positive/negative, negative/positive) × 2(culture: East (South Korea), West (USA)) factorial design. Perceived cognition congruency is measured as a within-group variable.

First, brand attitude changes in the West (USA) for the negative/positive presentation order are significantly larger than for the positive/negative presentation order, while, in the East (South Korea), no significant differences exist. Second, in the Westerner group (analytical thinking style), the perceived cognition congruency shows a significant difference according to the eWOM sequence, whereas in the Easterner group (holistic thinking style), the perceived cognition congruency does not show a significant difference according to the eWOM sequence.

As such, a strategic interpretation of the mixed eWOM presentation order across cultures is needed. In the West, interest and attention are necessary for the eWOM sequence. However, in the East, a different strategic approach, except for the presentation order of mixed eWOM, is required. The other elements of the mixed eWOM, such as attribute type or intensity of negative information, need to be considered for mixed eWOM management.

This study expands the existing body of knowledge on the sequence effect of mixed eWOM. Furthermore, it provides strategic direction and practical implications for mixed eWOM-driven information management, focusing on sequence in cross-cultural settings.

The purpose of this study is to investigate the perceived exposure of fashion consumers to different types of fashion brands’ social media marketing (SMM) actions in social media, and its relationship with the intention to engage in electronic word-of-mouth (eWoM) behaviors.

The empirical study uses a survey conducted on a stratified random sample of 241 Indonesian members of fashion social media brand communities (SMBCs). The research design includes 19 types of SMM actions and 3 types of eWoM engagement behaviors, and investigates their relationship using point-biserial correlation.

Generation of intention to engage in “pass-on” and “endorsement” eWoM has different drivers and serves different purposes. The findings suggest that endorsement engagement is contingent on the consumer’s perceived exposure to marketing action stimuli, while pass-on engagement is driven by cognitive-inducing actions.

This study extends current theory on SMM strategy and its relationship with eWoM engagement with a theoretically grounded conceptualization of eWoM engagement behaviors through the use of one-click social plug-ins.

The study offers guidelines for fashion brands to effectively design their SMM strategies by identifying specific drivers of consumers’ intention to engage in eWoM.

This study identifies sources of generation of eWoM engagement behavioral intention from a fine-grained analysis of marketing actions across various fashion SMBCs. Besides, it extends the applicability of the “mere exposure” effect to the SMM context. The research pioneers the study on fashion consumers’ eWoM engagement behaviors in Indonesia, a country with one of the largest social media populations.