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This paper aims to study the monetary transmission mechanism of China from January 1996 to December 2009 under endogenous structural breaks.

The study constructs a benchmark VAR model and then adds the proxy variables for four channels of monetary policy transmission as endogenous or exogenous variables in the model to study the transmission mechanism in China. Considering a number of reforms carried out in the economic and financial field in the past two decades and the possibility of structural changes in the monetary transmission mechanism, the methodology proposed by Qu and Perron is employed to allow for endogenous structural changes in the model.

By conducting a comparative analysis, conclusions can be drawn from this paper that bank lending is always the dominating channel for monetary policy to influence economy in China and the roles of the interest rate channel and the exchange rate channel have been improved in recent years. However, the role of the asset price channel in monetary policy transmission has weakened since late 2001.

This paper combines the quasi‐maximum likelihood procedure proposed by Qu and Perron in 2007 with a benchmark VAR model, thus providing a new approach to study monetary transmission mechanism and the conclusions can be more sensible.

The purpose of this paper is to clarify the relationship between income inequality and financial deepening. The majority of theoretical studies on the relationship between them argue that financial deepening has a positive effect on the income inequality. This paper aims to study the case of China, and explores whether the effects of financial deepening on income inequality varies between urban residents and rural residents.

Using the grey incidence analysis, this paper first calculates the degree of grey incidence between dependent variables, i.e. per capita disposable income of urban residents, per capita net income of rural residents and overall Theil Inequality Index for China, and independent variables, depth of credit, depth of direct financing and depth of insurance. Next, multiple non-linear regression is introduced to build the model. With the method of unit root test and co-integration test, some equations are given to show the clear relationship among the variables.

The empirical results indicate that the development of credit market does not have a strong relationship both with the growth of income and income inequality. While the development of both the direct financing market and the insurance market is closely related to the growth of income and income inequality.

The results of this paper suggest that the protection of the rights and interests of medium-sized investors is the key for the capital market. Meanwhile, the insurance market should be encouraged to expand in both breadth and depth, which helps to take full advantage of its functions. As for the credit market, more resources should be allocated to those who need them most the small- and medium-sized enterprises, which will contribute to the growth of the income for the majority and narrowing the income gap.

Electronic word of mouth (eWOM) is a digital marketing method that has been considered by some companies as an effective and efficient approach to enhance social learning and the environment for the customers. A social media user could benefit from gaining information from other users to aid their decision-making process. Instagram is an example of a social media platform that could be utilized for the application of eWOM. It could serve as a source of quality, credible and detailed information, and a channel to increase customer interactions and trust. This study aims to determine the effects of eWOM information generated through Instagram on patients’ intention to join the in vitro fertilization (IVF) programs. By adopting the information acceptance model (IACM) theory, several parameters were evaluated: information quality, credibility, usefulness, adoption, attitude toward information, and purchase intention. The structural equation modeling (SEM) was used to analyze as many as 200 respondents of Morula IVF Jakarta and were active Instagram users. The results showed that the adoption of information and attitude toward information had considerably influenced patients’ intentions to join the IVF programs. Such circumstances might have occurred as a result of the increase in information exchange about IVF, through the discussions and sharing of experiences by patients on Instagram. Furthermore, information usefulness was demonstrated to affect information adoption and was influenced by the credibility of information and attitudes toward information. Nonetheless, one variable which did not display any effects on the usefulness of information was the quality of information. In summary, the characteristics of eWOM information that were conveyed on Instagram could affect the intention of patients in joining the IVF program.

This paper aims to examine a two-way interaction between social influencers’ number of followers (micro vs meso) and argument quality (weak vs strong) on consumers’ self-reported and brain responses to advertising posts on Instagram. Further, drawing upon source credibility theory and contemporary theories of persuasion, the Instagram users’ perceptions of the influencer’s credibility are predicted to mediate the hypothesized effects.

Through an online (N = 192) and a lab study (N = 112), the authors examined Instagram users’ responses to an advertising post from Instagram influencers in terms of perceived source credibility and electronic word-of-mouth intention, using validated multi-item scales from existing literatures and electroencephalogram (EEG) measures. The hypotheses were tested with a 2 (type of influencer: micro vs meso) × 2 (argument quality: weak vs strong) between-subject design using mediated moderated linear regression analysis.

The results highlight that meso-influencers are perceived as a credible source of information only when their product-related post provides strong argument quality. Moreover, this process involves an increase in users’ cognitive work (measured with EEG), with possible implications on marketing communication strategies and online message design.

The limitations of the work can serve as ideas for future research. First, this study did not account for the influencer’s relevance and resonance. Second, the authors studied consumer responses to online communication produced by Instagram influencers within a single product category. Another important product type distinction that requires further attention is between hedonic and utilitarian products. Finally, the two studies only used positive review content. Further research should study how consumers evaluate the source credibility of a micro- vs meso-influencer when they are exposed to negative reviews containing weak vs strong arguments.

The results suggest that marketers should carefully consider Instagram influencers based on the trade-offs between credibility and reach. Specifically, micro-influencers are perceived as more credible sources of information than meso-influencers, which means that they have greater potential to affect Instagram users’ behavior. Moreover, the results suggest that meso-influencers should leverage argument quality to enhance their credibility and draw greater positive outcomes for the products and brands they endorse.

To the best of the authors’ knowledge, this study is the first to investigate how the interaction between the type of social media influencer and the argument quality affects consumers’ self-reported and brain responses to advertising posts on Instagram. Moreover, using neuroscience, this study aims to shed light on the neurophysiological processes that drive consumer responses to product-related communication posted by different influencer types.

Young consumers are increasing using electronic word-of-mouth (eWOM) in travel social networking sites to make purchase decisions. This paper aims to test the extended Information Adoption Model (IAM) that places perceived usefulness and information adoption as consequences of argument quality, source credibility, information quantity and emotive word comprehension, and as an antecedent of purchase intentions.

Data are collected through survey questionnaire from 405 hotel young customers in Malaysia, who had experienced travel social networking sites. The hypothesized relationships were analysed using structural equation modelling.

The results show that argument quality, source credibility, information quantity and emotive word comprehension have positive effect on the perceived usefulness of eWOM. Perceived usefulness has positive influence on the information adoption of eWOM, which in turn predicts the young consumers’ purchase intentions.

The present study strengthens and advances the existing literature on tourism, social media and marketing by offering an extension to the IAM. The proposed extended model of IAM is verified and applied effectively in the context of eWOM for travel social networking sites.

Practitioners and marketers of travel social networking sites can improve the usability and effectiveness of eWOM to attract more young consumers.

The study contributes to the extension of IAM by adding information quantity and emotive word comprehension. This research validated the significant roles of eWOM argument quality and source credibility in predicting the information usefulness of eWOM.

E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests that influencer live-streaming advertisements (ads) on social media can increase consumers’ buying impulses, little research examined how this similar but new advertising method on e-commerce platforms may influence consumers’ urge to buy impulsively. This study explores the role of influencer credibility, celebrity effect, perceived entertainment, trust and perceived usefulness on consumers’ attitudes toward influencer ads and their urge to buy impulsively.

A questionnaire containing seven constructs was developed and distributed to participants using a convenient sample and snowball sampling approach. The constructs were measured based on validated measurement items from the literature and adjusted according to this study’s focus. A total of 236 valid responses were obtained from the survey and used for data analysis. A partial least squares structural equation modeling approach was employed for parameter estimation and model testing.

The empirical results show that all constructs influenced consumers’ urge to buy impulsively via attitude toward influencer ads. The proposed research model explains 61.7% of the variance in attitude toward influencer ads and 19.4% of the urge to buy impulsively.

This is an early study investigating the relationship between influencer advertising and impulse buying. The results provide valuable insights into improving the design of influencer ads and marketing strategies.

1. I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

2. Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

3. Influencer credibility affects consumer attitude via celebrity effect as a mediator.

4. Trust affects consumer attitude via perceived usefulness as a mediator.

5. Entertaining ads help develop favorable consumer attitude.

I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

Influencer credibility affects consumer attitude via celebrity effect as a mediator.

Trust affects consumer attitude via perceived usefulness as a mediator.

Entertaining ads help develop favorable consumer attitude.

The experiential nature of travel and tourism services has popularized the importance of electronic word-of-mouth (EWOM) among potential customers. EWOM has a significant influence on hotel booking intention of customers as they tend to trust EWOM more than the messages spread by marketers. Amid abundant reviews available online, it becomes difficult for travelers to identify the most significant ones. This questions the credibility of reviewers as various online businesses allow reviewers to post their feedback using nickname or email address rather than using real name, photo or other personal information. Therefore, this study aims to determine the factors leading to reviewer credibility.

The paper proposes an econometric model to determine the variables that affect the reviewer’s credibility in the hospitality and tourism sector. The proposed model uses quantifiable variables of reviewers and reviews to estimate reviewer credibility, defined in terms of proportion of number of helpful votes received by a reviewer to the number of total reviews written by him. This covers both aspects of source credibility i.e. trustworthiness and expertness. The authors have used the data set of TripAdvisor.com to validate the models.

Regression analysis significantly validated the econometric models proposed here. To check the predictive efficiency of the models, predictive modeling using five commonly used classifiers such as random forest (RF), linear discriminant analysis, k-nearest neighbor, decision tree and support vector machine is performed. RF gave the best accuracy for the overall model.

The findings of this research paper suggest various implications for hoteliers and managers to help retain credible reviewers in the online travel community. This will help them to achieve long term relationships with the clients and increase their trust in the brand.

To the best of authors’ knowledge, this study performs an econometric modeling approach to find determinants of reviewer credibility, not conducted in previous studies. Moreover, the study contracts from earlier works by considering it to be an endogenous variable, rather than an exogenous one.

This study aims to investigate the relationships between electronic word of mouth (eWOM) source credibility, perceived risk and information usefulness and how they influence tourists’ destination visit intention and online review involvement.

Data for this quantitative study were collected via an online survey from 460 participants and analyzed using a partial least squares analysis.

All four dimensions of eWOM source credibility reduce travelers’ perceived risk associated with destination visits, among which homophily has the greatest influence. Lower levels of perceived risk are associated with higher perceived information usefulness, thus boosting tourists’ eWOM involvement and intention to visit a destination.

Results offer practical implications for how the tourism industry can exploit eWOM as an information source that consumers frequently consult. The results are also valuable for Destination Marketing Organizations, allowing them to determine what type of information promotes positive tourist attitudes and behaviors toward destinations.

To the best of the authors’ knowledge, this study is one of the first studies to examine the interaction between eWOM credibility, perceived risk and information usefulness and their effect on consumer behaviors in the tourism context.

eWOM 来源可信度对目的地访问意愿和在线参与的影响：以中国游客为例

本研究调查了 eWOM 来源可信度、感知风险和信息有用性之间的关系, 以及它们如何影响游客的目的地访问意图和在线评论参与度。

这项定量研究的数据是通过对 460 名参与者的在线调查收集的, 并使用偏最小二乘法分析。

eWOM 来源可信度的所有四个维度都降低了旅行者与目的地访问相关的感知风险, 其中同质性影响最大。较低的感知风险水平与较高的感知信息有用性相关, 从而提高游客的 eWOM 参与度和访问目的地的意愿。

本研究结果为旅游业如何利用 eWOM 作为消费者经常咨询的信息源提供了实际意义。结果对 DMO 也很有价值, 使他们能够确定哪些类型的信息可以促进游客对目的地的积极态度和行为。

本论文是首批研究 eWOM 可信度、感知风险和信息有用性之间的相互作用及其对旅游背景下消费者行为的影响的研究之一。

This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.

This study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.

Results revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”

This paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

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.