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Driven by artificial intelligence technology, chatbots have begun to play an important customer service role in the online retail environment. This study aims to explore how conversational styles improve the interaction experience between consumers and chatbots in different social crowding environments, and the moderating role of product categories is considered.

Three studies are conducted to understand the influences of conversational styles, social crowding and product categories on consumer acceptance, assessed using situational experiments and questions.

In a low social crowding environment, consumers prefer chatbots with a social-oriented (vs. task-oriented) conversational style, while in a high social crowding environment, consumers prefer a task-oriented (vs. social-oriented) conversational style, and warmth and competence mediate these effects. The moderating effect of product categories is supported.

This study expands the application of the stereotype content model to improve the interaction experience level between consumers and chatbots in online retail. The findings can provide managerial suggestions for retailers to select a chatbot's conversational style and promote a more continuous interaction between consumers and chatbots.

Tourism via virtual reality (VR) technology has become an interesting option for consumers to “travel.” The best approaches to optimizing the VR tourism environment, improving the interactive experience of tourists and encouraging tourists to adopt VR are not yet fully understood. This study explores the willingness of tourists to adopt VR tourism from the dual aspects, richness and dynamics, of virtual social cues.

To examine the effects of richness (multiple vs. few cues) and dynamic (changeable vs. static cues) on consumers' willingness to adopt VR tourism, three virtual tourism scenes were designed and presented by head-mounted displays. The data were collected for participants in the VR laboratory and tested by ANOVA and partial least squares–structural equation modeling.

Virtual social cues can generate mental imagery through interactivity, vividness and parasocial interactions, thus increasing the consumer's likelihood of adopting VR tourism. It was also found that imagination moderates mental imagery and adoption intention. When the consumer's imagination is stronger, their mental imagery stimulates a stronger willingness to adopt VR tourism.

The authors innovatively utilize concepts of parasocial interaction and mental imagery and discuss the various influences and mediation mechanisms of social cue characteristics on consumers' adoption of VR tourism. The conclusions may provide new insights for VR tourism managers and tourism scholars.

This study is aimed to examine the effects of the economic policy uncertainty (EPU) on carbon dioxide (CO₂) emissions. It further aimed to investigate the moderating role of institutional quality on the impacts of EPU on CO₂ emissions.

The authors apply the two-step system-generalized method of moments (GMM) for 112 emerging economies and low-income developing countries (hereafter, developing countries) for the period 2000–2019.

The findings reveal that the effects of EPU on CO₂ emissions are positive. Specifically, a percent increase in EPU results in a 0.047% increase in CO₂ emissions in developing countries. However, the effects of institutional quality on CO₂ emissions are negative, certifying that strong institutional quality reduces emissions. Also, the results confirm that the positive effect of EPU on CO₂ emissions is weaker in countries with relatively strong institutional quality.

Policymakers should be more vigilant while designing and implementing economic policies. Also, the government should support firms investing in environment-friendly innovations during high EPU. Besides, developing countries should improve institutional quality to mitigate the effect of EPU on CO₂ emissions.

This study is the first in its kind to examine the impacts of EPU on CO₂ emissions in developing countries. It also provides a different viewpoint on the EPU–CO₂ relationship and reinterprets it through the moderating role of institutional quality.

The purpose of this paper is to investigate the impact of the technology acceptance model, privacy concerns and demographic factors on intention to use (ITU) social networking sites (SNSs).

A questionnaire survey was developed and administered to a convenience sample of 838 university students.

The findings indicate that perceived privacy, demographic factors and perceived usefulness (PU) have a significant effect on the ITU SNSs, and that age does not moderate the relationship between perceived ease-of-use and PU.

This study confirms the growing importance of SNSs. It also provides social networking service providers with insights into user intentions towards such networks.

Fear of missing out (FOMO) has become a common phenomenon on social media. This study aims to examine how FOMO influences consumer preferences for posting about identity-relevant products on social media.

In this research, three studies were conducted to explore the effects of FOMO in different real-life situations. Study 1 was conducted in a laboratory setting in China. Study 2 includes two experiments, one that was conducted in China and one in the USA. Study 3 was conducted in a workplace setting in China.

The results of Study 1 indicate that when consumers experience FOMO, they prefer to post about identity-relevant (vs functional) products to a greater extent than usual. Study 2 examines the role of self-esteem and identifies self-presentation and the avoidance of social attention as underlying mechanisms. Thus, consumers with high (or low) self-esteem tend to be more motivated to present themselves positively (or to avoid social attention) when experiencing FOMO. Furthermore, Study 3 reveals the moderating role of supportive interactions; that is, the interaction between FOMO and consumer self-esteem is most likely to exert an effect when consumers receive many supportive interactions.

This research demonstrates that posting identity-relevant content on social media is a coping strategy that individuals may adopt when experiencing FOMO. Moreover, self-esteem can predict how individuals cope with FOMO by identifying self-presentation and avoidance of social attention as the mechanisms underlying effects. Although this research attempts to avoid interference from other factors between in the relationship FOMO and the control conditions, it seems possible that more socially relevant information may be presented in the FOMO condition.

Because FOMO can be manipulated and posting types can be predicted, this research provides important implications for brands on how to create or post content to better engage consumers.

This research supports the role of FOMO as a driver of on consumer posting preferences on social media.

This research explores the impacts of content-generating devices (mobile phones versus personal computers) and content features (social content and achievement content) on consumer engagement with marketer-generated content (MGC) on social media. It also examines these factors' interaction effects on consumer engagement.

The study analyzed MGC that 210 companies had posted to Sina Weibo over three years, testing the study’s proposed model with negative binomial regression analysis.

The study's results show that MGC generated via mobile phones attracts more consumer engagement than MGC generated via personal computers. MGC with more social features attracts more consumer engagement, whereas MGC with more achievement features reduces consumer engagement. The authors also found that MGC with more social features generated via mobile phones and MGC with more achievement features generated via personal computers lead to more consumer engagement due to the congruency of the construal level of psychological distance.

This research enriches the literature by exploring the effects of content-generating devices and content features on consumer engagement in the MGC context, which extends the research on consumer engagement with social media from the context of user-generated content to the MGC.

The purpose of this paper is to control the size of online advertising by the use of the single factor experiment design using the eight matching methods of logo and commodity picture elements as independent variables, under the premise of background color and content complexity and to investigate the best visual search law of logo elements in online advertising format. The result shows that when the picture element is fixed in the center of the advertisement, it is suggested that the logo element should be placed in the middle position parallel to the picture element (left middle and upper left), placing the logo element at the bottom of the picture element, especially at the bottom left should be avoided. The designer can determine the best online advertising format based on the visual search effect of the logo element and the actual marketing purpose.

In this experiment, the repeated measurement experiment design was used in a single factor test. According to the criteria of different types of commodities and eight matching methods, 20 advertisements were randomly selected from 50 original advertisements as experimental stimulation materials, as shown in Section 2.3. The eight matching methods were processed to obtain a total of 20×8=160 experimental stimuli. At the same time, in order to minimize the memory effect of the repeated appearance of the same product, all pictures, etc., the probability was randomly presented. In addition, in order to avoid the pre-judgment of the test for the purpose of the experiment, 80 additional filler online advertisements were added. Therefore, each testee was required to watch 160+80=240 pieces of stimulation materials.

On one hand, when the image elements are fixed for an advertisement, the advertiser should first try to place the logo element in the right middle position parallel to the picture element, because the commodity logo in this matching mode can get the longest average time of consumers’ attention, and the duration of attention is the most. Danaher and Mullarkey (2003) clearly pointed out that as consumers look at online advertising, the length of fixation time increases, the degree of memory of online advertisement is also improved accordingly. Second, you can consider placing the logo element in the left or upper left of the picture element. In contrast, advertisers should try to avoid placing the logo element at the bottom of the picture element (lower left and lower right), especially at the lower left, because, at this area, the logo attracts less attention, resulting in shortest duration of consumer attention, less than a quarter of consumers’ total attention. This conclusion is consistent with the related research results.

Advertising owners in the logo and picture elements for typesetting, if advertisers want to highlight the elements of the commodity logo, the logo should be arranged in the first point of view more locations, which cause consumers more unconscious processing, to achieve good memory and communication effects. Therefore, based on the above conclusions, it is also recommended that the logo elements should be placed on the right side of the picture elements in the advertising layout, and the sixth form of matching should be avoided as much as possible.

This article investigates the factors in customer engagement with electronic brand (e-brand) communities and the mechanism behind their effects. The aim is to investigate the influence of various characteristics of e-brand communities on customer engagement, satisfaction through brand loyalty, and Recommendation.

A survey questionnaire was administered to 320 Facebook users in Pakistan. The aim is to investigate the influence of various characteristics of e-brand communities on customer engagement, satisfaction through brand loyalty and recommendation. The data were analyzed using PLS-SEM to test a model developed under the stimulus–organism–response perspective.

Each community attribute significantly affected customer engagement, which was further found to mediate the relationship from these attributes through to customer satisfaction and then to brand loyalty and recommendation.

An original model hypothesized from the stimulus–organism–response framework was validated among an emerging market sample, highlighting the role of customer engagement with e-brand communities in mediating the effects of information and service quality on customer satisfaction.

Enterprises often use anthropomorphic images to display products. In this study, by discussing the differences of the anthropomorphic images of juxtaposition and fusion, the authors can distinguish the boundary conditions of the influence of different visual object structures on consumers' attention.

Based on schema theory and information processing theory and using eye movement methods, this study analyzed the attractiveness of anthropomorphic images to consumers under different congruence levels through experiments of 2 (congruence: high and low) *2(visual object structure: juxtaposition and fusion)*2(self-construct: interdependent and independent). This study discusses the difference in the attractiveness of interdependent and independent consumers in the context of high congruence, juxtaposition and fusion of two visual object structures.

The results show that compared with the low congruence anthropomorphic image, the high congruence anthropomorphic image can attract more attention of consumers. In the case of low compatibility of anthropomorphic images, the juxtaposition structure of anthropomorphic images is more attractive to consumers than the fusion structure. In the case of high compatibility of anthropomorphic images, for independent self-consumers, the attraction of fusion structure image is higher than the juxtaposition image, and for interdependent self-consumers, the attraction of juxtaposition image is higher than the fusion image.

The conclusion enriches the anthropomorphic marketing theory. It reveals different degrees of attention paid to anthropomorphic image by consumers of different types of self-construct. Eye movement methods provide a new perspective for the study of anthropomorphic marketing and provide a reference for enterprises to publicize products or services through anthropomorphic image.

Due to their limited capacity for adaptation and dependence on natural resources for economic growth, developing countries (DCs) tend to be more prone to climate change. It is argued that climate finance (CF) is a significant financial innovation to mitigate the negative effects of climate variation. However, the heterogeneous impacts of CF on environmental sustainability (ES) and social welfare (SW) have been masked. Thus, this study aims to investigate the heterogeneous effects of CF on ES and SW in 80 CF receipt DCs from 2002 to 2018. This study also aims to investigate the effects of CF on ES and SW based on population size, income heterogeneity and the type of CF.

The method of moments quantile regression (MMQR) with fixed effects is utilized. Alternatively, the fully modified least square (FMOLS) and dynamic least square (DOLS) estimators are used for the robustness test.

The findings revealed that DCs with the lowest and middle quantiles of EF, carbon dioxide (CO₂) emissions and human development exhibit large beneficial impacts of CF on ES and SW. In contrast, the positive effects of CF on ES breakdown for countries with the largest distributions of EF and CO₂ emissions. Besides, the impacts of CF on ES and SW depend on income heterogeneity, population size and the type of CF.

This study calls for a framework to integrate CF into all economic development decisions to strengthen climate-resilient SW and ES in DCs.

To the best of the authors’ knowledge, this is the first study to investigate the effects of CF on ES and SW in a wide range of DCs. Thus, it complements existing related literature focusing on the effects of CF on ES and SW.