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).

Engaging customers is a critical requirement for sharing economy platforms (SEPs) to sustain and grow their user base. Although the interactions between users who consume the service (customers) and those who provide it (peer service providers) are the primary source of SEPs’ economic value, little is known about the role of interactivity in driving customer engagement. This research links these two important concepts by theorizing and empirically testing the influence of different dimensions of interactivity (two-way communication, participation, joint problem-solving) on customer engagement (cognitive engagement, emotional engagement, behavioral engagement) in SEPs.

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.

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.

The wide application of digital media technology in fashion shows has become the epitome of the development and innovation of today's fashion industry, enabling designers to break through the constraints of time and space, changing the performance of today's fashion shows, and making them present unprecedented new features. With the development of information technology, the integration of emerging digital technology and the fashion industry is accelerating. So far, separate studies have been carried out in various academic fields on the combination of Metaverse and NFT, but the current status and nature of relevant research are still incomplete. Furthermore, the current research on virtual fashion shows and NFT in China's apparel industry is limited. The purpose of this study is to investigate the influence of digital fashion marketing stimulation on consumer brand attitudes using the stimulation-organ-response (SOR) framework model. By analyzing 77 cases of virtual fashion shows in China, this study obtained antecedent variables and designed a research model. An online sample of 300 Chinese Gen Z consumers was collected and analyzed using SPSS and FSQCA. This research hopes to provide valuable information for the sustainable development of China's fashion industry, and to help Chinese fashion brands confirm the future market development direction of Metaverse and NFT.

This study addresses the problem caused by unhealthy = tasty intuition (UTI) when positioning innovative new categories of food products. Our research on Japanese consumers’ choice of soy meat hamburgers shows that UTI formed by the old category influences choices in the new product category.

In this research, we investigate how sponsored listings on an online search engine influence the consumer’s final decision choices. In an era of digital transformation where companies very often opt for sponsored advertisements, we explore how an anchoring effect (exacerbated by other factors) impacts the evaluation process and final outcome. More specifically, using a mix of secondary data from a large hotel aggregator and experiments, this work empirically validates that sponsored results (i.e., the first paid result) on a search engine results page indeed acts as an anchor. In addition, we find evidence the anchoring effect increases as a) the results are more versus less homogeneous, and b) the screen size of the search device is larger. What’s more, the anchoring effect is largely stable and does not fluctuate based on the category or decision importance. The effect also remains intact whether or not search engine results are randomized through the history of the browser. We also find the anchor influences subsequent evaluations, and options similar to the anchor are more likely to be chosen irrespective of the anchor’s attractiveness despite industry convention that consumers ignore sponsored results (see Henderson 2019) and research indicating consumers routinely select organic over sponsored search results.

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.

Non-fungible tokens (NFTs) exploded onto the global digital landscape in 2020, spurred by pandemic-related lockdowns and government stimulus (Ossinger, 2021). An NFT is a unit of data stored on a blockchain that represents or authenticates digital or physical items (Nadini, 2021). Since it resides on a blockchain, NFTs carry the benefits of decentralization, anti-tampering, and traceability (Joy et al., 2022). Fashion brands quickly capitalized on these features, launching fashion NFT collections and garnering significant profits from the sale of fashion NFTs in 2021 (Zhao, 2021). For example, Nike’s December 2021 acquisition of RTFKT (pronounced “artifact”) resulted in USD 185 million in sales less than a year after their acquisition (Marr, 2022).

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.

This study investigates how travellers adopt information from travel review websites, i.e., Tripadvisor and how online travel reviews influence their intention to visit a tourist attraction. Based on the Information Adoption Model (IAM), a conceptual model was developed and tested using the data obtained from 227 valid respondents.

The purpose of this research is to better understand what factors influence on households’ waste sorting behavior at source in Mongolia. To accomplish the goal, this study conducted online survey with self-report questionnaire method and the 353 participants’ data were collected through Facebook groups and pages related to house owners’ associations and waste recycling related non-profit organizations. The results show that the underlying factors determining the intention of waste sorting at source are (1) motivational bases such as prior beliefs and social norms; (2) and an ability/knowledge about the waste sorting at source. Furthermore, the intention is crucial predictor of the real behavior of waste sorting at source, but the most important one is an opportunity to do so. The conclusions and the recommendations are provided.

The purpose of this paper is to understand how customer relationship termination (i.e., preparation and process), alone or in combination with customer involvement, contributes to the new product development outcome. While termination preparation has a synergistic effect with customer involvement, the termination process has a trade-off relationship with customer involvement.

The economic recession and changes in purchasing habits of young adults (aged 18–25) has led to a decline in the sales of Japanese fashion apparel. This younger generation’s choice of fashion items is primarily based on price. They are not devoted to a favourite brand with a frequent purchase history. Thus, developing customer loyalty and strengthening brand value are essential for the fashion industry. This study explores the improvement in fashion companies’ financial performance (FP) through young generation’s behavioural brand loyalty (BBL) from two aspects: social media brand engagement (BE) and loyalty programmes (LPs). This study listed 14 popular Japanese fashion brands which belonged to 14 publicly traded companies in Japan. Further, we surveyed 183 consumers about their brand related behaviours. The findings reveal the positive and negative effects of the same variable (BE and LPs) on the outcome (short- and long-term FP), indicating that not all activities related to BE and LPs boost FP. FP is influenced by various combinations of these causal factors and complex situations, such as consumers’ demographics and shopping characteristics. The results deepen our understanding of brand loyalty formation and the linkage among BE, LPs, and FP in a realistic marketplace, and offer multiple practical solutions to achieve high levels of short- and long-term FP by targeting the right consumers based on their specific characteristics.

Existing studies report that social media influencers’ number of followers is a determinant of their influence. However, not every consumer follows an influencer with a high number of followers. Therefore, differences in individual characteristics should be considered in the effectiveness of influencer marketing. This study draws on the cultural dimensional theory to examine the moderating role of consumers’ cultural values at the individual level in the effects of social media influencers with many followers. The results show that the relationship between social media influencer follower count and brand reputation depends on the cultural values of individual consumers. This study makes certain contributtions to the advancement of research on influencer marketing and cultural values by identifying the different impact of follower account of social media influencers with many influencers.

The GMT-Consortium Large Earth Finder (G-CLEF) is the first instrument for the Giant Magellan Telescope (GMT). G-CLEF is a fiber feed, optical band echelle spectrograph that is capable of extremely precise radial velocity measurement. G-CLEF Flexure Control Camera (FCC) is included as a part in G-CLEF Front End Assembly (GCFEA), which monitors the field images focused on a fiber mirror to control the flexure and the focus errors within GCFEA. FCC consists of an optical bench on which five optical components are installed. The order of the optical train is: a collimator, neutral density filters, a focus analyzer, a reimager and a detector (Andor iKon-L 936 CCD camera). The collimator consists of a triplet lens and receives the beam reflected by a fiber mirror. The neutral density filters make it possible a broad range star brightness as a target or a guide. The focus analyzer is used to measure a focus offset. The reimager focuses the beam from the collimator onto the CCD detector focal plane. The detector module includes a linear translator and a field de-rotator. We performed thermoelastic stress analysis for lenses and their mounts to confirm the physical safety of the lens materials. We also conducted the global structure analysis for various gravitational orientations to verify the image stability requirement during the operation of the telescope and the instrument. In this article, we present the opto-mechanical detailed design of G-CLEF FCC and describe the consequence of the numerical finite element analyses for the design.

Selective doping of pyridinic nitrogen in carbon materials has attracted attention due to its significant properties for various applications such as catalysts and electrodes. However, selective doping of pyridinic nitrogen together with controlling skeletal structure is challenging in the absence of catalysts. In this work, four precursors including four fused aromatic rings and pyridinic nitrogen were simply carbonized in the absence of catalysts in order to attain mass synthesis at low cost and a high percentage of pyridinic nitrogen in carbon materials with controlled edges. Among four precursors, dibenzo[f,h] quinoline (DQ) showed an extremely high percentage of pyridinic nitrogen (96 and 86%) after heat treatment at 923 and 973 K, respectively. Experimental spectroscopic analyses combined with calculated spectroscopic analyses using density functional theory calculations unveiled that the C-H next to the pyridinic nitrogen in DQ generated gulf edge structures with controlled pyridinic nitrogen after carbonization. By comparing the reactivities among the four precursors, three main factors required for maintaining the pyridinic nitrogen in carbon materials with controlled edges, such as (1) high thermal stability of the pyridinic nitrogen, (2) the presence of one pyridinic nitrogen in one ring, and (3) the formation of gulf edges including pyridinic nitrogen to protect the pyridinic nitrogen by the C-H groups on the gulf edges, were revealed.

Volatile organic compounds (VOCs) are a paramount factor in air pollution of the environment. VOCs are vastly present in the wastewater discharged by the pharmaceutical industries. As it is evaporative in nature, it enters the environment spontaneously and causes air pollution, global warming, acid rain and climate change. VOCs must be treated before discharging or any other aerobic methods using an efficient catalyst. As the catalytic oxidation in the liquid phase is facile compared to the gas phase, this study investigated on catalytic liquid-phase oxidation of VOCs in model and real pharmaceutical wastewater. The model compounds of toluene-, ethylbenzene- and chlorobenzene-contaminated waters were treated separately along with the VOCs present in real pharmaceutical wastewater using a tungsten-based carbon catalyst. The tungsten was impregnated on the low-cost activated carbon matrix as it has good selectivity and catalytic property toward VOCs for facile catalytic operations. The metal catalysts were characterised by Fourier transform infrared spectroscopy, X-ray diffraction studies, and scanning electron microscopy with elemental and mapping analysis. The treatability was monitored by total organic carbon, ultra-violet spectroscopy and high-pressure liquid chromatography analysis. The tungsten-impregnated activated carbon matrix (WACM) has a catalytic efficiency toward toluene by 85.45 ± 1.78%, ethylbenzene by 93.9 ± 1.16%, chlorobenzene by 85.9 ± 2.26% and pharmaceutical VOCs by 85.05 ± 1.73% in 20 treatment cycles. The results showed that WACM worked efficiently in VOCs treatment, preventing the environment from air pollution. Furthermore, liquid-phase oxidation could easily be implementable on an industrial scale.

Nowadays, variable materials have been investigated to find alternative lightweight conductors instead of copper because copper has a relatively high density. Carbon nanotube (CNT) is one of the most suitable materials as an alternative conductor to Cu, thanks to its high conductivity. In addition, CNT has many other great properties, such as low density, high strength, and high ampacity. However, individual CNT loses some of its performance after the assembly process. Therefore, CNT materials have been electroplated with copper to achieve lighter conductors. In this study, CNT buckypaper (CNTBP) is fabricated using a multi-walled carbon nanotube and copper electroplated using optimizing electrolyte with the help of additive chemicals such as accelerator and suppressor. Furthermore, the effect of hydrochloric acid in the electrolyte on the electroplating of CNTBP is observed. The results show that HCl in electrolyte enhances the effectiveness of additive chemicals and provide a well-plated CNTBP@Cu composite. The composite in this study is expected to be used in various areas.

In recent years, people are increasingly interested in CO2 hydrogenation to produce value-added chemicals and fuels ( CH4, CH3OH, etc.). In the quest for an efficient treatment in CO2 methanation and methanolization, several technologies have been practiced, and DBD plasma technology gain attention due to its easily handling, mild operating conditions, strong activation ability, and high product selectivity. In addition, its reaction mechanism and the effect of packing materials and reaction parameters are still controversial. To address these problems efficiently, a summary of the reaction mechanism is presented. A discussion on plasma-catalyzed CO2 hydrogenation including packing materials, reaction parameters, and optimizing methods is addressed. In this review, the overall status and recent findings in DBD plasma-catalyzed CO2 hydrogenation are presented, and the possible directions of future development are discussed.