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This research aims to investigate the role of consumer resistance (CR), display advertising context, appeal and type of exposure for the successful launch of a brand into a new market.

To accomplish this goal, two experiments manipulated the digital context of advertising (congruent vs. incongruent), the advertising appeal (emotional vs. informative) and the type of exposure (incidental vs. forced) using an energy drink brand. In Study 1, data were collected from 80 participants using eye-tracking and an online questionnaire. In Study 2, a total of 138 participants visited a website with the targeted display ad and responded to an online questionnaire.

Overall, the results of two studies show that the relationship between CR and display advertising effectiveness is moderated by the advertising context and advertising appeal in incidental exposure, whereas only the advertising context moderates this relationship in forced exposure when launching a brand into a new market. Moreover, the study illustrates the importance of collecting subjective and objective data in advancing the knowledge and understanding of interactive marketing communications such as display advertising.

The study is a novel attempt within the well-established realm of interactive marketing and, specifically, of digital advertising to examine the persuasive effects of display ad features such as the context, appeal and exposure on display ad effectiveness, considering consumers' predispositions such as resistance to change.

This paper contributes to studies on the relationship between dynamic capabilities (DCs) and performance by showing how domain-specific DCs – international dynamic marketing capabilities (IDMCs) – affect the international performance of exporting firms in the context of extreme environmental dynamism – during the COVID-19 pandemic.

The authors focus on a sample of 277 exporting manufacturers from the post-transition economy of Poland. The authors use hierarchical multiple regression analysis to test this study's hypotheses.

This study's findings show that deployment of IDMCs by export manufacturers in the context of environmental jolts contributes to better performance, and this relationship is mediated by adaptation to foreign markets and product development capability. Additionally, this study's results reveal that the significant and positive indirect effect of IDMCs on international performance (through mediators) is, however, weakened under conditions of extreme environmental dynamism.

The limitations pertain to the cross-sectional nature of this study and the research sample, characterised by the dominance of export manufacturers of final products, the dominance of manufacturers operating in the business-to-business sector, or in the business-to-business and business-to-customer sectors simultaneously.

The study provides suggestions to managers on how to build resilience in international markets during turbulent times. These activities involve investments in IDMCs that support activities centred around product development and adaptation to foreign markets.

The novel construct of IDMCs is introduced and operationalized. The study empirically tests the direct and indirect relationship between IDMCs and performance contingent upon extreme environmental dynamism. The results demonstrate the boundary conditions for the effectiveness of these domain-specific DCs in such a research setting.

This study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).

Experimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.

This study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.

Marketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

Social media has emerged as a prominent platform for marketers and brands to disseminate brand-related information. This study aims to investigate the impact of color congruence between themes and background on marketing effectiveness, focusing specifically on Instagram.

A laboratory experiment was conducted to investigate how color congruence between themes and background in brand posts influences flow and aesthetic experience, subsequently affecting marketing communication parameters such as brand attitude, visit intention, and eWOM on Instagram. Moreover, Adidas Originals was selected as the focal brand, and blue and white color was chosen as the primary color palette for the experimental material.

This study demonstrates that color congruence, regardless of brand layout or post, significantly influences flow and aesthetic experience, subsequently affecting marketing effectiveness.

This study contributes to the theoretical understanding of congruence theory and social media marketing, providing valuable insights for brands to enhance their communication through photographs and effectively manage their official Instagram accounts.

Non-fungible tokens (NFTs) are gaining popularity as investments and personal indulgences, prompting brands to integrate them into marketing campaigns. Thus, understanding consumer personality traits toward NFTs is essential for success. This study presents a model that explores how social comparison orientation (SCO) influences perceived exclusivity and financial benefits of NFT marketing, subsequently impacting experiential evaluations, willingness to purchase NFTs and brand loyalty.

We conducted two experiments to test our model. Study 1 used a quasi-experiment with 1,053 participants and tested the model using partial least squares–based structural equation modeling. In Study 2, we aimed to investigate the causal influence of SCO on NFT marketing effectiveness. We employed a one-factor experiment (social comparison prime: high SCO vs. control) with 123 participants.

NFT users frequently engage in social comparisons and prefer branded NFTs that offer exclusivity (social value) and financial benefits (economic value). Social and financial superiority derived from NFTs enhances branded NFT experiences, leading to a stronger willingness to purchase NFTs and building brand loyalty. Perceived exclusivity, financial benefits and experiential evaluation mediate the effects of SCO on willingness to purchase NFTs and brand loyalty.

This study explores the effectiveness of NFT marketing through the lens of social comparison theory. In doing so, we examined the relationship between SCO and NFT marketing outcomes, revealed the causal influence of SCO on perceived exclusivity and perceived benefits in NFT marketing and shed light on the serial mediation of value- and experience-related constructs.

This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust.

The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses.

The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits.

This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.

The purpose of this article is to explore the relationship between the attributes of Olympic mascots and their impact on sponsorship effectiveness. Based on a multiattribute model and the introduction of engagement theory and the meaning transfer model, this article uses the 2022 Beijing Winter Olympics mascot “Bing Dwen Dwen” as the research object to empirically analyze the effects and mechanisms of the mascot's attributes on preference, event engagement, sponsorship enterprise trust and sponsorship enterprise attitude, ultimately constructing a sponsorship effectiveness model.

The survey method was used to examine 238 respondents' emotions and attitudes towards companies participating in sponsoring Olympic mascots.

The study found that the main attributes of the mascot include visual and emotional factors, both of which have a positive impact on preference, with emotional factors having a greater influence than visual factors. Visual and emotional factors indirectly affect engagement through preference. Preference and engagement play a completely mediating role in the effect of mascot attributes on sponsorship enterprise trust and sponsorship enterprise attitude.

This study provides practical recommendations for managers to achieve marketing success in sports sponsorship through mascots.

This paper provides a measurement tool for the study of mascot attributes and important support for subsequent research in sponsorship marketing.

The purpose of this paper is to conceptualize virtual influencer marketing, outlining the opportunities and dangers associated with using virtual influencers in social media marketing communications.

Drawing on the literature addressing influencer marketing and interactions between consumers and technologies, this paper introduces the landscape of virtual influencer marketing.

This paper distinguishes virtual influencers from real-life influencers and related digital characters. It further defines four unique elements attributed to virtual influencers: customization, flexibility, ownership and automation. Finally, it introduces a taxonomy for virtual influencers.

The conceptualization of virtual influencer marketing contributes to advancing the understanding of the (virtual) influencer marketing landscape.

This paper suggests that brands need to carefully evaluate the different characteristics of virtual influencers, when deciding to leverage them in social media marketing communications. It also provides guidelines for working with virtual influencers in marketing campaigns targeted at consumers.

This paper discusses ethical and social implications for brands and consumers that interact with virtual influencers in the encounter between reality and virtuality.

This paper makes three contributions. First, it conceptualizes virtual influencer marketing by defining and critically evaluating the key characteristics attributed to virtual influencers. Second, it offers a 2 × 2 taxonomy of virtual influencers, grounded in research on anthropomorphism and reality–virtuality. Third, this paper reflects on the opportunities and dangers associated with virtual influencer marketing, outlining avenues for future research.

Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce.

The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers.

Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high.

The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.

This study aims to explore the impact of financial technology (fintech) and behavioral intention on financial inclusion, specifically focusing on the role of digital marketing as a mediator.

Using a quantitative research design, this study collected data from 638 respondents in the province of Punjab, Pakistan to investigate the relationship between variables.

The results indicate that both behavioral intention and fintech have a positive and favorable effect on financial inclusion. Furthermore, the study reveals that digital marketing acts as a mediating factor between financial inclusion and both behavioral intention and fintech. These findings underscore the significance of using effective digital marketing strategies to facilitate financial inclusion through fintech platforms. Policymakers should prioritize the adoption of fintech innovations and supportive regulatory frameworks while implementing comprehensive digital marketing strategies to promote financial inclusion.

This research contributes to the existing body of literature by presenting empirical evidence that highlights the interconnectedness of fintech, behavioral intention, digital marketing and financial inclusion. By harnessing the potential of fintech and digital marketing, financial institutions can bridge the gap between underserved populations and formal financial services, thereby promoting economic growth and reducing inequality.