The emergence of Mo2C- based catalysts in recent years has been favored as promising contender within diverse class MXenes. In terms of rapid development in the photocatalytic application, these intriguing compounds exhibit excellent photocatalytic performance because of their superior optical properties and peculiar structure characteristics. Unfortunately, a systematic review of Mo2C- based catalysts is lacking. In this review, we abstract the implication of structure—property relationship of emerging Mo2C- based MXenes materials and their applications toward the photocatalytic hydrogen evolution reaction (HER). Furthermore, synthetic pathways to prepare high-quality, low cost Mo2C- based MXenes materials and their outcomes for high HER applications are systematically described. Finally, several insights are provided into the prospects and future challenges for the development of highly reactive Mo2C- based MXenes materials, which present large range opportunities in this promising 2D materials for green and clean energy in environmental fields. This review provides a comprehensive scientific guide to the preparation, modification, and photocatalytic HER of MXenes-based materials.

Decabromodiphenyl ether (BDE209) is a persistent aromatic compound widely associated with environmental pollutants. Given its persistence and possible bioaccumulation, exploring a feasible technique to eradicate BDE209 efficiently is critical for today’s environmentally sustainable societies. Herein, an advanced nanocomposite is elaborately constructed, in which a large number of titanium dioxide ( TiO2) nanoparticles are anchored uniformly on two-dimensional graphene oxide (GO) nanosheets ( TiO2/GO) via a modified Hummer’s method and subsequent solvothermal treatment to achieve efficient photocatalytic degradation BDE209. The obtained TiO2/ GO photocatalyst has excellent photocatalytic due to the intense coupling between conductive GO nanosheets and TiO2 nanoparticles. Under the optimal photocatalytic degradation test conditions, the degradation efficiency of BDE209 is more than 90%. In addition, this study also provides an efficient route for designing highly active catalytic materials.

Reliable, inexpensive, environment-friendly, and durable properties of carbon materials with unique and outstanding photoelectric performance is highly desired for myriad of applications such as catalysis and energy storage. Since lattice modulation is a vital method of surface modification of materials, which form by an external force during the synthesis process, causing the internal compression and stretching, leading to lattice sliding event. In this review, we present a summary of different methods to tailor the lattice modulation in 2D carbon-based materials, including grain/twin boundary, lattice strain, lattice distortion, and lattice defects. This overview highlights the implication control of the diverse morphologies of nanocrystals and how to tailor the materials properties without adding any polymers. The improvement in the performance of 2D carbon materials ranges from the enhancement of charge transport and conductivity, structural stability, high-performance of light absorption capacity, and efficient selectivity promote the future prospect of 2D carbon materials broaden their applications in terms of energy conversion and storage. Finally, some perspectives are proposed on the future developments and challenges on 2D carbon materials towards energy storage applications.

Background: In modern society, the use of computers accounts for a large proportion of our daily lives. Although substantial research is being actively conducted on musculoskeletal diseases resulting from computer use, there has been a recent surge in interest in improving the working environment for prevention. Objects: This study aimed to examine the effects of posture correction feedback (PCF) on changes in neck posture and muscle activation during computer typing. Methods: The participants performed a computer typing task in two sessions, each lasting 16 minutes. The participant’s dominant side was photographed and analyzed using ImageJ software to verify neck posture. Surface electromyography (EMG) was used to confirm the participant’s cervical erector spinae (CES) and upper trapezius muscle activities. The EMG signal was analyzed using the percentage of reference voluntary contraction and amplitude probability distribution function (APDF). In the second session, visual and auditory feedback for posture correction was provided if the neck was flexed by more than 15° in the initial position during computer typing. A 20-minute rest period was provided between the two sessions. Results: The neck angle (p = 0.014), CES muscle activity (p = 0.008), and APDF (p = 0.015) showed significant differences depending on the presence of the PCF. Furthermore, significant differences were observed regarding the CES muscle activity (p = 0.001) and APDF (p = 0.002) over time. Conclusion: Our study showed that the feedback system can correct poor posture and reduces unnecessary muscle activation during computer work. The improved neck posture and reduced CES muscle activity observed in this study suggest that neck pain can be prevented. Based on these results, we suggest that the PCF system can be used to prevent neck pain.

Background: Office workers experience neck or back pain due to poor posture, such as flexed head and forward head posture, during long-term sedentary work. Posture correction is used to reduce pain caused by poor posture and ensures proper alignment of the body. Several assistive devices have been developed to assist in maintaining an ideal posture; however, there are limitations in practical use due to vast size, unproven long-term effects or inconsistency of maintaining posture alignment. We developed a headphone and necklace posture correction system (HANPCS) for posture correction using an inertial measurement unit (IMU) sensor that provides visual or auditory feedback. Objects: To demonstrate the test-retest reliability and concurrent validity of neck and upper trunk flexion measurements using a HANPCS, compared with a three-dimensional motion analysis system (3DMAS). Methods: Twenty-nine participants were included in this study. The HANPCS was applied to each participant. The angle for each action was measured simultaneously using the HANPCS and 3DMAS. The data were analyzed using the intraclass correlation coefficient (ICC) = [3,3] with 95% confidence intervals (CIs). Results: The angular measurements of the HANPCS for neck and upper trunk flexions showed high intra- (ICC = 0.954–0.971) and inter-day (ICC = 0.865–0.937) values, standard error of measurement (SEM) values (1.05°–2.04°), and minimal detectable change (MDC) values (2.92°–5.65°). Also, the angular measurements between the HANPCS and 3DMAS had excellent ICC values (> 0.90) for all sessions, which indicates high concurrent validity. Conclusion: Our study demonstrates that the HANPCS is as accurate in measuring angle as the gold standard, 3DMAS. Therefore, the HANPCS is reliable and valid because of its angular measurement reliability and validity.

With the increasing popularity and attention towards virtual stores, the present study examines how consumers' perception of spatial and human crowdedness affects consumers' behavioral and attitudinal intention to shop at the virtual store through positive emotional arousals. Using two between-subject experiments (crowdedness: low spatial x high; low human x high), 171 participants were randomly assigned to each condition. The results demonstrated highly crowded virtual space with more merchandise creates a consumer’s positive emotional arousal, which leads to a positive attitude and satisfaction. Further, consumers perceive positive social crowdedness (i.e., when other shoppers are present) develops excitement among consumers who may entice positive attitude and satisfaction. Findings suggest that retailers should develop stimulating virtual stores.

Green consumption behavior (GCB) is desirable for a better world. The trend of GCB is expected to rise in the coming years. As such, it is imperative to understand the enablers of GCB. A significant majority of the investigated drivers of GCB are consumer-level factors. Studies focusing on the consumer-level showed that factors such as values, intentions, and personal norms could influence GCB. However, it is argued that compared to values or intentions, self-determined motivation can better predict GCB. The effect of self-determined motivation types (i.e., autonomous and controlled motivation) on GCB remains unclear due to prevailing gaps and contradictory findings. Furthermore, it is posited that people exhibit more self-determined behavior if they have strong self-awareness. Higher self-awareness can be achieved through mindfulness; therefore, differences in mindfulness level could affect the motivation-behavior relationship.

The application of mindfulness is increasing significantly in different areas of business studies. However, identifying how mindfulness research has evolved and the major research themes, specifically within the business studies domain, remains lacking. This study unveils the intellectual structure of mindfulness research in business studies. Using citation and co-citation analysis, the study identifies the most influential articles, annual growth, and three key research clusters constituting the intellectual foundation.

Commercial condom advertisements usually emphasize the sexual pleasure of branded products, which leads to controversial public views. Some people agree that commercial condom advertisements can also benefit public health, whereas others disapprove of such commercial condom advertisements because their contents are usually offensive, low-tasted, and pornographic. Despite controversy over commercial condom advertising, we know little about the spillover effect of commercial condom advertisement. On one hand, sexual-related content in the commercial condom advertisement may have an arousal effect. That is, it can evoke sexual arousal, leading to more sex intercourses. More frequent sex behaviors, especially casual sex behaviors, may then lead to a risk of contracting sexually transmitted diseases (STDs). On the other hand, commercial condom advertisements may have an educational effect. That is, it can persuade people to use condoms, helping people get in the habit of using condoms, thus reducing the STD trends. In the short term when condom commercials are aired, the arousal effect and educating effect coexists, which motivates the net short-term effect as an open empirical question. In the long-term when the condom commercial no longer aired, the educating effect remains, which decreases the STD trends.

In recent years E-commerce platforms recommend some products for consumers based on their shopping history and user persona. However, sometimes, unfamiliar products or styles would be recommended to consumers unintentionally or intentionally. Curiosity drives consumers to try but this idea would be declined with the consideration of product fit uncertainty. Augmented Reality (AR) is the integration of digital information with the user‘s environment in real-time (Hilken et al. 2018), it can deal with issues related to physical apprehension that hinder consumers’ online shopping (i.e, clothes, cosmetics), especially for the unfamiliar style. This study aims to investigate whether AR technology could improve consumers' purchase likelihood. Augmented Reality (AR) can enhance customer experiences in a multichannel environment (Hilken et al. 2017). AR Integrates online experiences into the offline experience (Hilken et al. 2018), such as virtual try-on or magic mirrors. Customers often find it difficult to imagine how firms’ products and services fit them personally or fit with their environment (Hilken et al. 2018). Drawn on AR, consumers can easily evaluate the fitness between themselves and the selected products. Prior studies have explored the different underlying processes of why AR technology could improve consumer purchase intention and customer experience. For instance, according to the situated cognition theory, AR creates a feeling of spatial presence (Hilken et al. 2017). The usage of AR benefits mental imagery, improving decision comfort (Heller et al. 2019). AR can compensate for consumers’ need for touch and offer hedonic and/or utilitarian benefits (Gatter et al. 2022). Based on media richness theory, AR offers more information for customers (Hoffmann et al. 2022), which represents a fitting concept for customers to evaluate the product (Javornik 2016).

The development and application of NFTs has gained great attentions. Especially, with the eyes on the potential of Metaverse and Web 3.0, NFTs are regarded as one of the foundational parts of the future internet. The main contribution of NFTs is the innovative solution for creating digital uniqueness through its property of non-fungibility. With this property, the ubiquity caused by replicable data on the current internet can be advanced with NFT-backed uniqueness, which can assist in certifying authenticity, authorship, and possessions of contents, products, and assets online. This has tremendous meaning for the luxury brand industry, which has been struggling with the ubiquity of the internet for years. The emergence of NFTs, however, represents hope and a potential mean to represent scarcity in a digital context. By the use of NFTs, luxury brands’ conservative digital marketing strategies and their ways of production design, marketing, consumer management could be fundamentally changed. This study aims to discuss the NFT marketing strategy from the perspective of luxury brands. Particularly, the study will investigate the desirability strategies in these luxury NFT cases. To do so, the study uses a socio-technical perspective to understand how luxury brands embody the desirability strategy through NFTs, by considering the technical factors of NFTs (i.e., design, issuance, and ecosystem functioning) and social factors of desirability (i.e., exclusivity, rarity, prestige, and creative leadership). The study explores applicable strategy of how to realize luxury desirability through NFT technics. As a result, this study investigates 39 luxury NFT cases from 2021 to 2022, including the NFTs launched by famous luxury brands such as Gucci, Louis Vuitton, Burberry, Dolce & Gabbana, and KARL LAGERFELD. The study showcases three within-case analyses to exhibit vivid examples of NFT innovations. Besides, the study generates a common framework by a complete cross-case analysis. The framework contains three domains and seven dimensions to guide further luxury NFT innovations and contributes to theory development in the field of NFT marketing and branding.

This study examined the combined effects of scarcity appeals and time remaining from the travel date on attitudes toward advertising and purchase intention. The results lead to a rationale for disparate advertising strategies of scarcity appeals considering the temporal distance of a consumer's hotel booking.

Livestreaming commerce is a form of e-commerce that embedded real-time video presentation and social interaction. It provides immersive shopping experience reinforced by high levels of interactivity and instant bidirectional communication. China, as one of the biggest livestreaming markets, has reached 2.3 trillion (CNY) livestreaming commerce market value in 2022. In a 2020 survey, two-thirds of Chinese consumers experienced livestreaming shopping in the previous year. Accordingly, luxury brands, such as Chanel and Louis Vuitton have started to implement livestreaming commerce in China. However, for years, luxury brands have struggled with online commerce as it may impact upon perceptions of exclusivity and dilute brand value. Research on the efficacy of live commerce emerged in recent years and mostly focused on non-luxury brands. However, luxury brands cannot simply copy digital marketing strategies that proved to be effective for non-luxury brands. To date, limited academic attention has been devoted to the luxury commerce in a livestreaming context.

Voice assistance (VA) has been widely adopted in the tourism and hospitality industry to interact and communicate with tourists and provide useful travel recommendations. Although more companies in tourism have adopted environmental sustainability practices and tourists have increased their sustainability awareness, lack of research has been conducted to investigate the effectiveness of VA in promoting sustainable consumption of tourism products or services. This study proposes that customising environmental sustainability messages for tourists with different cultural orientations and VA use purposes can enhance their engagement with the VA, which can affect their consumption decision. The results from a scenario-based experiment demonstrate that tourists with interdependent/independent cultural orientation have higher engagement with the environmental sustainability messages communicated by the VA when they are with a non-transactional/transactional purpose. Implications for tourism marketing strategies are discussed.

A ‘brand’ metaverse is a virtual space where customers experience the brand via digital avatars. With the advancement of augmented and virtual reality technologies, a brand metaverse is an important medium for communicating the brand with customers. In this study, we focus on the resemblance between a customer’s self and his/her avatar (i.e., self-avatar resemblance) in the brand metaverse and examine its influence on brand attitude. Prior studies examine self-avatar resemblance exclusively in non-brand-related virtual gaming platforms and test its effect on identity perception and immersion in the platforms. However, few studies probe the extent to which self-avatar resemblance influences customers' exploration in a brand metaverse and their attitude toward the brand. We fill this research gap by uncovering the positive effects of self-avatar resemblance on brand attitude and purchase intentions. Moreover, we proffer that the customers’ engagement toward the brand metaverse platform mediates the relationship between self-avatar resemblance and brand attitude. In addition, based on the interactive nature of metaverse, we hypothesize copresence―the number of avatars exploring the brand metaverse at the same time―to be a moderator, which strengthens the mediation. We conduct an experiment using a fashion brand’s virtual world positioned in a popular metaverse platform. In this experiment, participants create an avatar and freely roam around in the brand metaverse with their avatars. By reviewing the screen recording of each participant’s brand exploration in the metaverse, we measure self-avatar resemblance and other constructs. We also collect responses from questionnaires designed to measure attitudinal and behavioral variables. With the accumulated data, we test the hypotheses using partial least square structural equation model and find the results largely consistent with the hypotheses. With the findings, we provide important and interesting implications to marketing practitioners considering and doing ‘metaverse marketing.’

Imagination plays a critical role in travel decision-making. Given the intangible nature of tourism products, tourists cannot directly experience and evaluate the tourism resources in advance. Thus, tourists must first mentally predict and imagine the future travel experiences and scenarios in the destination based on the marketing information (e.g., travel photo, promo video) and prior knowledge, then form their subjective evaluation of the travel product. This future-thinking process is called “mental simulation”. Stacks of research have shown that mental simulations positively affect travel behavior (Le et al., 2019). However, given that travel is a kind of novelty-seeking activity, tourists are usually not familiar with the destination environment and activities. The lack of prior knowledge might inhibit their mental simulation process, even if destination photos and videos are provided. Thus, how to effectively arouse tourists’ mental simulation of destination experience is an important question for effective tourism marketing.

This study constructs a model to predict ad attitude when AI influencers act as ad endorsers. In the results, search products and rational ad appeal have more positive ad attitude, perceived empathy and perceived expertise as mediator. These three variables can be reinforced by the consistency of ad appeals and product categories.

With the popularity of live streaming commerce, the characteristics of streamers and products subtly influence consumer behavior through visual live streaming form. Based on dual-process theory, this paper develops a comprehensive theoretical model to examine how consumer perceived streamer characteristics and product characteristics influence streamer attractiveness and product attractiveness, and explore how consumer behavior inertia is affected by streamer attractiveness and product attractiveness. An online survey consisting of 300 participants was recruited to empirically examine the proposed research model. The results indicated that consumer perceived streamer characteristics and product characteristics are important factors affecting the streamer attractiveness and product attractiveness, which in turn positively affect consumer’s shopping experience memory, which further influence consumer behavior inertia. In addition, the moderating effects of mindfulness are also examined.

The present study choose to conduct consumer behavioral research in Metaverse situation, explores factors that influence consumer shopping enjoyment and purchase intention from product, service and technology perceptive. The research team gathered the primary data through questionnaire subjecting to Chinese consumers (n=300) who know about TaoBao future city which themes on virtual buying in Metaverse. In addition, structural equation modeling is employed to examine the hypothesized relationship among the variables. The result shows that all the driving factors positive effects consumer shopping enjoyment and then influence purchase intention positively. The finding is significantly fundamental to establish theoretical framework future about virtual shopping in Metaverse, and help marketers realize how to set virtual stores in Metaverse to enhance consumer shopping experience so that they could improve consumer purchase intention in the context.

In response to the increasing deployment of brand chatbots in the service sector, this study developed a conceptual framework to examine the psychological processes through which brand chatbots contribute to relationship building efforts. A 2 (interactivity: high vs. low) X 2 (anthropomorphic conversation style: warm vs. competent) between-subject design was conducted in the context of the coffee service business. The levels of interactivity in the chatbots were operationalized by altering the subdimensions of interactivity: modality (i.e., media richness, response latency), message (i.e., interdependency in message exchanges), and source (i.e., customization of content flow). Different linguistic elements (e.g., terms of address, vocabulary, punctuation, emoticons) were used to construct two sets of scripts that emphasized either warmth or competence of the chatbots. Based on the results of the pretests, four brand chatbots via Facebook Messenger were developed using the platform provided by GoSky AI Inc.