Even though Mod is a cutting-edge business model that benefits a variety of multi-sided market participants, empirical research on Mod, the value co-creation activity of game users and game developers, is hard to come by. This study intends to look into how the combination of the Mod and the IP from the prior game affects user engagement. An experiment was carried out with Korean university students to examine the hypotheses. User engagement was found to increase with the use of the Mod and the IP from the previous games. On the other side, it was discovered that the impact of mod games on user engagement did not differ significantly from non-mod games when the previous game's IP was absent. The study's findings help establish the framework for afterwards empirical research by showing the effect of mod on user engagement.

Online shopping has grown exponentially in the last decade, benefiting both consumers and companies. Among several advantages, online shopping lets consumers compare values and prices from different stores on multiple mobile devices in real time. In addition, for young people, it is a way of expressing their identity and independence.

Following a series of major breakthroughs in artificial intelligence (AI) technology, it is believed that the use of AI technology can fundamentally subvert many industries and business fields, one of which is marketing. For instance, AI is likely to become a key driver of how advertising and marketing activities are conducted (Qin and Jiang, 2019) and thus dramatically change marketing strategies and customer behaviors (Davenport et al., 2020).

The main objective of this research is to investigate the impact of brand image fit on consumer’s perceived luxury, perceived symbolic value, perceived authenticity, and perceived novelty towards fashion brand collaboration. This study uses a qualitative approach to test the research hypotheses. The contribution of this study is twofold: (1) it conceptually advances Congruity Theory and Spillover effect into the area of brand collaboration within a fashion domain; (2) it provides insights into the efficacy of each consumer-related factors which can be used in the development of sound collaboration strategies, in addition to branding and pricing strategies of new fashion brand collaborations.

E-commerce has seen significant growth since the outbreak of the COVID-19 pandemic. This has led to changes in consumer preferences and increased pressure on companies to develop effective e-commerce and social media capabilities to retain customers. This study examines the impact of these capabilities on customer retention and firm performance by collecting quantitative data from 160 small U.S. e-commerce companies in the fashion industry. The study finds that customer retention positively relates to firm performance and that factors, including cross-device shopping, payment methods, page speed, standard delivery time, Pinterest activity, and Instagram activity, significantly impact customer retention. The study suggests strategies for companies to remain competitive in the dynamic e-commerce landscape.

As the importance of online virtual spaces increases due to COVID-19, interest in online virtual spaces using 4th industrial technology is increasing. Accordingly, the metaverse that combines virtual and real is becoming an issue. In the fashion industry, marketing using online is gradually increasing, and various attempts are being made by converging with the metaverse to provide new and enjoyable experiences to customers. This study looked at the impact of customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment and brand loyalty in a metaverse environment where utilization is increasing due to COVID-19 and technological development. For the analysis data of this study, a survey was conducted on the users who experienced the metaverse platform Zepeto's ' BVLGARI World'. As a result of examining the effect of the customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment, and brand loyalty in a metaverse environment, some of the customer experiences affect customer satisfaction, and the proposed hypothesis was partially accepted. In addition, it was confirmed that customer satisfaction affects affective commitment and brand loyalty, and affective commitment affects brand loyalty. In this study, we examine the impact of the customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment, and brand loyalty in the metaverse environment, and identify what is needed for more active convergence and activation of the metaverse and fashion brands. Also, we provide practical implications to people who involved in the metaverse and the fashion industry.

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).

The present study is designed to assess the ethical-moral effectiveness of three levels of AI implementations in the hospitality industry, which include mechanical AI for transactional services (automated service), thinking AI for functional services (algorithms search), and feeling AI for hedonic services (biometric sensors) when compared to consumers’ interactions with human. AI service robots are ethically challenging in use and morally controversial in its acceptance of labor replacement in hospitality contexts. In the hospitality industry, service robots have been rapidly adopted replacing frontline human services (Park et al., 2021). Service robots refer to “system-based autonomous and adaptable interfaces that interact, communicate and deliver service to an organization’s customers” (Wirtz et al., 2018, p.909). On the one hand, the applications of artificial intelligence (AI)-based service robots are promising in this field owing to remarkable accuracy in error reduction, portion control, and cost control in service operation and delivery (Berezina et al., 2019). However, on the other hand, there has been a debate on ethical and moral principles and values regarding service robots replacing human labor (Cowls et al., 2021). Nevertheless, restaurants’ adoption of service robots seems inevitable in the current marketplace as labor shortages and rising wages have challenged them to invest in automation (Tanzi, 2021). While prior research focused on the benefits of AI-based service offerings (e.g., Cristou et al., 2023; Huang & Rust, 2021; Park et al., 2021), this study explored the extent to which AI-based service robots are accepted by consumers without rising concern about service robots replacing human labors. To this end, we adopted Huang and Rust’s framework that identifies three levels of AI applications: mechanical, thinking, and feeling AIs. Mechanical AIs refer to the automation of repetitive and routine tasks (e.g., self-service technologies); thinking AIs facilitate rational decision-making based on data processing (e.g., conversational intelligent systems such as Siri); feeling AIs are able to interact with human emotions (e.g., humanlike robots that respond to human emotions such as Sophia). Further, we adopted the construal level theory (Trope & Liberman, 2003) to examine how different levels of AIs’ service capabilities influence the way that people think about AI-based service robots. In brief, this study demonstrated how different levels of AI benefits influence consumers’ moral concerns about AI-based service robotization’s replacement of human labor and social acceptance.

Electronic waste (E-waste) has become a long-standing global concern. People are purchasing new affordable and improved technologies long before the end-of-life (EOL)’s of their old devices, which is leading to overconsumption and growing volumes of e-waste. At present, official data indicates that 80% of the volume of e-waste is not formally treated globally. The complex nature of e-waste recycling processes is a significant challenge.

Social marketing is a discipline promoting voluntary behaviour change in target audience to effect societal and individual benefits by applying commercial marketing strategies. Considering the UNFCCC mechanisms are established to foster voluntary cooperation of parties of the Paris Agreement (2015) in achieving their emission reduction targets and adaptation goals, potential for social marketing playing a critical role in contributing to the context seems endless. The Climate Technology Center and Network (CTCN), established in 2013, is an operational arm of the Technology Mechanism (TM) introduced by the Conference of the Parties (COP) under the United Nations Framework Convention on Climate Change. With the purpose of pursuing impactful mitigation and adaptation technology transfer based on global cooperation ontology, the CTCN supports technical assistance (TA) to developing countries on climate technology issues. Nevertheless, the participation rate of the domestic members in the CTCN TA project is low at 7 per cent. With this regard, little has known about what government support would benefit the Network members most, therefore, contributing to the global climate change issue. This research aims to respond to these calls. Three sequential studies outlining 4P strategy development were conducted. Study 1 conducted an online survey to identify pricing factors influencing participation of climate technology transfer business (RQ1). Study 2 tested four different types of government support program that will is most likely to encourage the Network member’s CTCN TA participation (RQ2). Study 3 pilot tested the most appropriate government support program, including a new communication strategy (RQ3). This research has taken climate technology experts’ perspectives in order to enhance the participation of 81 Korean Network members in climate technology projects. This paper contributes to applying the social marketing approach in expanding climate technology assistants globally, thereby purposefully bringing new theoretical and practical insights affecting the mitigation of carbon emissions and increasing the adaptation to climate-related disasters in developing countries.

Based on the Stereotype Content Model and the credibility and persuasion literature, this study examines the influence of COO on advertising claim credibility and purchase intentions. A set of hypotheses were developed and tested with an experimental design on a British sample of consumers.

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.

A new type of food created in laboratories – lab grown meat (LGM) is an alternative to traditional animal farming and attracting attention of media, industry experts and consumers. Why is this new product so controversial? It is claimed that cell-based meat production is more environmentally friendly, ethical and sustainable than traditional methods that involve animals. Hence, being less harmful and potentially slowing down environmental degradation that leads to climate change. However, consumers have concerns regarding product quality, sourcing of cells used for production and use of growth serums. So many differing views are present, even before LGM is introduced as a marketable product. This paper examines what drives public discourse regarding how this new industry can be regulated, technology and how social media posts, fake news and publicly available rhetoric address consumer concerns and consumer acceptance regarding this new food category.

Social media began to boom in the 2000s. According to statistics, there are 92.3% of internet users are social media users who spend nearly two and a half hours daily on social media. Instagram is considered the most popular image-sharing platform, with more than 1.2 billion monthly active users. Meanwhile, consumers nowadays refer to and follow online reviews to assist their decision-making process more efficiently.

In this article, we address this shortcoming by exploring the concept of AI-based sustainable service—an offering that embeds artificial intelligence in ways that meet the needs of current consumers by contributing to socio-economic equalities and conserving the natural environment.

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 metaverse has become a trendy topic for both academics and practitioners in recent years. While the metaverse is still in a developmental stage, it is anticipated that it will bring significant changes to the existing paradigm in marketing, information system, psychology and many other disciplines (Dwivedi et al., 2022)

Offering a good shopping experience on the web is key for fashion luxury brands. However, it is not a field much analyzed by researchers. This research presents a systematic analysis of the usability of the web and its content in more than 60 fashion luxury e-commerce.

Digital humans integrating anthropomorphism into the performance and problem-solving features of AI offer innovative sources of insights and value that promotes a product, service, or brand. The purpose of this study is to investigate the effects of a digital human’s aura and anthropomorphism on perceived interactivity, attitude toward a brand, attitude toward a digital human, electronic word of mouth (eWOM) intention, and purchase intention. An entrenched digital human’s aura and anthropomorphism increase perceived interactivity, attitude toward a brand, attitude toward a digital human, eWOM intention, and purchase intention. This study contributes to the literature by clarifying the concept of the digital human’s aura and anthropomorphism and the relationships between perceived interactivity, attitude toward a brand, attitude toward a digital human, eWOM intention, 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.