This study aims to investigate how attitudes towards femvertising affects brand credibility, brand authenticity, and purchase intention. Further, the mediation of femwashing on these relationships was investigated. And lastly, the impact of brand credibility and authenticity on purchase intention was examined. The results show that a favourable attitude towards femvertising positively affects brand credibility and authenticity but is not significant for purchase intention. Likewise, the mediation of femwashing on these relationships was not significant. In addition, brand credibility and brand authenticity had a positive impact on purchase intention.

This study investigates the effect of co-creation on psychological well-being and future co-creation intention on social media. Data were collected from the United Kingdom, Canada and Australia. Although the results suggest that the effects of co-creation on users may differ depending on context, they generally show that co-creation experience has a positive relationship with co-creation behavior, and that risk assessment moderates this relationship. Co-creation experience also has a positive relationship with psychological well-being, and co-creation behavior mediates this relationship. The results also confirm that co-creation behavior has a positive relationship with future co-creation intention, and co-creation behavior mediates the relationship between co-creation experience and future co-creation intention.

The research aims to estimate the role of SMAs implementation in impacting event image, commemorative product perceived value, and TBIs in the context of sports tourism events. Additionally, this study analyzes the effects of perceived value and event image on TBIs. This article focuses on the following research questions: (1) What is the SMAs' influence on TBIs? (2) What is the impact of SMAs on event image and commemorative product perceived value? (3) What is the role of event image and product perceived value in the relationships between SMAs and TBIs in the sports tourism context? The data collection was done during the Beijing Winter Olympic Games to address the research goals. The study examines the data from 315 valid questionnaires from tourists in the Chinese market by SEM (structural equation modeling).

This study investigated which factors impact esports viewership for League of Legends matches through Live and highLight streaming video. This research anaLyzed League of Legends viewership factors' differences between the three Leagues (LCK, LCS, and LEC) where viewership factors infLuence esports viewership demand through LOL’s Live and highLight streaming video. League of Legends not onLy has the highest audience among different various esports, aLso has formed a huge market from diverse countries. In order to soLve each League's unbaLance viewership trend issue between the three Leagues, and facing worLdwide viewership decrease, this study examined viewership impact factors from three Leagues with the highest viewership ratings: Korea's LCK, North America's LCS, and Europe's LEC. After that, differences in viewership impact factors for the research were anaLyzed and compared to each League. SpecificaLLy, this study investigated which factors impact esports viewership for League of Legends (LOL) matches. Data (N=1581) of reguLar season matches from the LCK, LCS, and LEC Leagues (2020 spring to 2021 summer) were coLLected and anaLyzed. This study anaLyzed the average number of visitors per minute of Twitch Live streaming and the number of views on YouTube highLights. Five main viewership factors(the uncertainty of match, consumer preferences, match importance, team attributes, match content, and controL variabLes), and seventeen independent variabLes were verified by muLtipLe regression anaLysis using STATA 15. As a resuLt of the anaLysis, the modeL with the number of reaL-time audience as the dependent variabLe demonstrated different trends between Leagues in terms of the uncertainty of match factors (rank difference, win rate difference, goLd difference, kiLL difference, object difference), and consumer preference factors(fan, operating period of both teams, number of worLd championship wins, the number of championship semifinaL advances). WhiLe the match importance factors(week, top-rank matches) and match content factors (the sum of kiLLs, the sum of assists, the sum of objects) indicated somewhat simiLar tendencies between Leagues. In the modeL with the number of highLights views as the dependent variabLe, consumer preference factors and match importance factors tended to be somewhat simiLar, but match content factors prone to be sLightLy different between Leagues. In addition, the uncertainty of the match factors did not show a significant infLuence across the three Leagues. Findings from this research expand and appLy the variabLes derived from the demand determination theory of traditionaL sports to e-sports demand research. This study heLps stakehoLders understand various esports cuLtures from different regions. Furthermore, it is meaningfuL in that it provides information that wiLL contribute to the growth of the entire League of Legends market through baLanced deveLopment between Leagues.

The integration of Live streaming and E-commerce, also known as Live commerce, has been widely used in Asia. The live commerce market in China, which leads the live commerce business, reached 2.36 trillion yuan (about 340 billion dollars) at the end of 2021. While revenue is an important indicator for a company, customer engagement in live commerce, which can acquire potential customers through brand loyalty formation, community building, and information sharing, is also a crucial indicator in consideration of long-term development.

Crowding is widely observed in various tourism contexts. Compared with natural scenic areas, theme parks have concrete boundaries and are physically, economically, or culturally separate from the surrounding area, it also brings problems with carrying capacity and visitor management. Data shows that China has become a critical theme park market, and crowding has become a major problem for theme park operators in China. This study examined the effects of human crowding on visitors' emotions, satisfaction, and behavioral intentions using the M-R model as a framework. The investigations were conducted in Shanghai Disneyland and Zhuhai Chimelong Ocean Kingdom, 295 and 410 valid questionnaires were collected respectively.

Many retailers and food service providers offer programs as part of their loyalty programs in which customers are given stamps for each purchase of a qualifying product or service and redeemed for a reward once a certain number of stamps have been accumulated. We identify which stimuli in such goal-directed motivational promotions induce customers to participate in the program.

There has been almost 26 years since science of marketing has developed in Mongolia and there has been significant progress in acquiring and using its findings. Business companies’ leadership have become aware of the importance of this science and see marketing as business philosophy and understand that analyzing the market, business environment and conditions by consumers is the key to success. Today’s society demands from marketing professionals’ delicacy and taking into account consumers’ needs and creating new needs and new means of consumption. Main purpose of business entities is to be aware of consumer needs, to establish its position on the market and to be successful. In order to provide consumers with the best products and keep them at the center of their attention it is important to establish optimal ratio of marketing factors that would most efficiently influence consumers with different behaviors.

Artificial intelligence (AI) is producing more and more branded content such as image, text, video and sound. This area of so-called generative AI became particularly popular with the public after the launch of ChatGPT. Furthermore, political correctness has been discussed in recent years, since society is becoming increasingly sensitive to certain issues surrounding topics such as racism or gender equality. Therefore, it is more important than ever for brands to communicate in a politically correct way. In the past, humans were responsible for negative brand communication and brand voice. However, with the development of these AI-tools and platforms, AI also creates brand voice and this AI-generated brand voice can similarly cause such negative feelings.

To promote the diffusion of environmentally friendly equipment, appropriate measures need to be taken for each target group. This study evaluated changes in the influence of mass media on PV installation intentions by generation, based on over 10 years of consumer awareness survey data and the number of newspaper reports.

Genderless fashion is a trend that involves clothing and accessories designed for anyone, regardless of gender identity, and may blur traditional gender boundaries by incorporating elements associated with men's or women's clothing. The trend is driven by changing attitudes towards gender, increasing awareness and acceptance of gender fluidity and non-binary identities, and a desire for more inclusive ways of expressing gender through fashion. Empirical evidence on how genderless or gender-neutral marketing efforts affect consumer response is limited. Our experimental study contributes to this literature by analyzing the role of clothing gender labels and consumer gender on purchase intention of clothing.

Customer engagement has been a focus of a significant amount of research. Most of the prior research on customer engagement typically focused on engagement and loyalty in loyalty program context, while the impact of rewarded customer engagement on program members has largely been missed out. Additionally, no prior study yet has focused on the conceptualization of rewarded customer engagement, while exploring and comparing its significance on various digital platforms, such as loyalty programs and Metaverse. Thus, this study aims to conceptualize rewarded customer engagement while investigating its impact on loyalty program members, and whether it induces and/or encourages their engagement in brand’s Metaverse platform(s).

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 paper aims to examine the effect of AI framing (i.e., Scientific AI vs Magic AI) on consumers' product evaluation. This study shows that magically framed AI technology may be more beneficial to appeal to product innovativeness when subjective product properties (e.g., personal taste) becomes important. On the contrary, when objective product properties (e.g., functionality) becomes important, scientifically framed AI technology is more likely to generate higher perceived product attractiveness and purchase intention.

The purpose of this research is to examine the impact of firms’ repeated use of crowdfunding on consumer responses and the funding success, focusing on compensatory crowdfunding that provides products and services when funding is successful. The result indicates that the number of crowdfunding round and achievement rates are related to parabolic forms. These results suggest that investors can recognize the number of crowdfunding round as a important signal for crowdfunding investment. In addition, this research aims to present practical implications for crowdfunding firms and platforms to attract ongoing investments.

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.

Consumers may not be fully aware of the level of personalization used in brand placements in digital advertising. Personalized brand placements use customer data to select and insert preferred brands into digital media content, such as having Coke appear in a YouTube video for someone who favors Coca-Cola. This personalization can enhance the consumer experience (Trifts & Aghakhani, 2018) but may also backfire if placements don't account for changes in brand preference or when personalized placements are co-consumed with a person whose preferences strongly diverge from one’s own (e.g., one’s romantic partner; Brick, Fitzsimons, Chartrand, & Fitzsimons, 2018). Brands have a significant impact on how people perceive each other. Brands convey social information and symbolic meaning (Keller, 1993; Levy, 1959) and can influence behavior (e.g., Fitzsimons, Chartrand, & Fitzsimons 2008) and provide a source of affiliation (Escalas & Bettman, 2003). However, less is known about how brands affect basic social connections like empathy. This notable gap is relevant to the evaluation of the impact of brand placements in digital advertising as brand logos are quite visible in brand placements and can be the first piece of information someone observes when forming an attitude towards another person. For example, imagine an Instagram post of a person wearing a Harley Davidson baseball cap. What kind of person did you imagine? Does your impression change if, instead, the brand was People for the Ethical Treatment of Animals, or the Trump Organization? Moreover, how likely would you be to engage with media showcasing a person supporting this brand. In the current research, we propose that personally disliked brands create a negative bias in person perception and consumer judgment, a phenomenon we coin “brand negativity bias.” Our results show that disliking a brand can reduce empathy for others and substantially bias attitudes toward a digital product associated with but not created by the brand. Specifically, we show process evidence that suggests disliked brand placements reduce (1) empathy toward others through reductions in perceived similarity and (2) attitudes toward a digital product through perceived similarity and empathy, as serial processes. In addition, although we do not empirically test an overall mechanism that explains the negativity bias in its entirety, we speculate several reasons that underlie the broad influence of personally disliked brands (e.g., symbolic, ideological, or moral). From a societal point of view, our findings inform the public to be mindful of how simple consumption cues can bias people’s decision making, which holds implications beyond consumer judgment in domains involving first impressions.

Covid-19 pandemic has significantly affected online advertising market. The pandemic has changed customers’ shopping behavior by decreasing customer traffic in offline businesses but increasing customers’ online activities that has led to growth of online shopping and advertising. While the outbreak of Covid-19 has sparked growth of online advertising in general, its impact on various industries may not be the same, given the differences in product characteristics and consumer behavior across different products and services. This paper aims to address this question by empirically examining how Covid-19 has affected online search advertising market. First, we examine how Covid-19 has affected the behavior of online users and advertisers, the main stakeholders in the search advertising market, in terms of user traffic and clicks and advertiser bids and payments. Second, we examine if the impacts of Covid-19 on behavior of online users and advertisers would be different in various industries.

Sponsored product reviews have emerged as an important tool in influencer marketing. In particular, non-monetary sponsorships, where brands give influencers a product as a gift for a free trial, are widely used in influencer marketing. Yet, there is little understanding of i) the impact of non-monetary sponsorship on consumers’ downstream behaviors, such as social media engagement, ii) the moderating effect of influencer type, and iii) the underlying mechanisms through consumer perceptions of the brand (i.e., brand trust) and product (i.e., perceived product quality). To fill this gap, we first empirically examined the impact of non-monetary sponsorship on customer engagement using an Instagram dataset through regression analyses. In this analysis, the propensity score matching (PSM) method was employed to match non-monetary sponsored posts with other similar posts, which controls unobserved confounding variables and resolves the endogeneity problem. The empirical analysis shows that non-monetary sponsorship increases social media engagement, and the positive impact is stronger when a micro-influencer generates a non-monetary sponsored post. Next, using a lab experiment, we provide evidence for a causal link between non-monetary sponsorship and consumers’ downstream behavior (i.e., social media engagement, purchase intention, and brand attitude) and support the mediation through higher perceived product quality and brand trust. We contribute to the literature on influencer marketing by documenting the positive impact of non-monetary sponsorship on social media engagement, examining the moderating role of influencer type, and providing novel mechanisms underlying the effect of non-monetary sponsorship. The findings also highlight the changes in consumer perception of sponsorship and offer insights into the design of influencer marketing campaigns for marketing practitioners.