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The current study applied the concept of country image to a context of bilateral relations for two post-Soviet states to examine the impact of a mega sport event on the image of the host country Russia.

Surveys were collected before and after the World Cup to assess any changes among Georgians with regard to their views on Russia and intentions to visit.

The results showed a significant change in Russia’s pre-perceived cognitive image related to reputation, respect and development, as well as the emotional aspect and overall country image after the mega sport event. Interestingly, the affective image of Russia carried more weight in shaping the overall country image compared to the cognitive aspects, suggesting the increasing importance of emotional perceptions over beliefs. However, despite these changes, the study found that mega sport events did not significantly moderate the association between country image and behavior intentions in the context of Russo-Georgian hostile bilateral relations.

This study is one of the first examinations of the impact of hosting mega sport events in countries with hostile bilateral ties. The findings support that mega sport events can be an effective mechanism to gain soft power in that such events can arouse changes in people’s emotions and feelings towards the host country, even for those living in a country with a hostile relationship with the host country. The scope of applicability of these findings can be extended to other contexts, including future hosts of mega sport events in their geo-political contexts.

This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore, by predicting spectators for each league (American League and National League) and division in MLB, the authors will identify the specific factors that increase accuracy, discuss them and provide implications for marketing strategies for academics and practitioners in sport.

This study used six years of daily MLB game data (2014–2019). All data were collected as predictors, such as game performance, weather and unemployment rate. Also, the attendance rate was obtained as an observation variable. The Random Forest, Lasso regression models and XGBoost were used to build the prediction model, and the analysis was conducted using Python 3.7.

The RMSE value was 0.14, and the R2 was 0.62 as a consequence of fine-tuning the tuning parameters of the XGBoost model, which had the best performance in forecasting the attendance rate. The most influential variables in the model are “Rank” of 0.247 and “Day of the week”, “Home team” and “Day/Night game” were shown as influential variables in order. The result was shown that the “Unemployment rate”, as a macroeconomic factor, has a value of 0.06 and weather factors were a total value of 0.147.

This research highlights unemployment rate as a determinant affecting MLB game attendance rates. Beyond contextual elements such as climate, the findings of this study underscore the significance of economic factors, particularly unemployment rates, necessitating further investigation into these factors to gain a more comprehensive understanding of game attendance.

A current technological trend, which has gained even more traction recently due to the COVID-19 pandemic, is the use of augmented reality (AR) in shopping environments. AR is addressing contemporary challenges rooted in online shopping (e.g. in terms of experientiality and try-on) and is fundamentally reshaping consumers' experiences. The purpose of this study is to provide a synthesized and structured overview of the state-of-the-art research focused on AR shopping.

The authors conduct a systematic literature review of the empirical academic corpus focused on shopping via AR technology.

The review reveals the diverse psychological (cognitive, affective, and social) as well as behavioral outcomes related to the use of AR in the shopping context. The authors integrate the results into a framework for AR induced consumer behavior in shopping, thereby providing an important overview of the dynamics in AR-related shopping and the factors influencing the adoption of the technology by consumers. Specifically, the authors encountered that the technological abilities of AR (e.g. in terms of interactivity, vividness, informativeness, etc.) are a source for enhanced utilitarian and hedonic shopping experiences that can support intentions to purchase a product, reuse an AR app, or recommend it to others. Importantly, our review reveals the demand for several avenues for future research.

The authors provide an overview and synthesis of how and where AR is employed in shopping contexts, what theories and technological characteristics of AR are commonly analyzed, and what psychological and behavioral outcomes AR has been found to evoke. Based on our findings, the authors derive a framework that illustrates the dynamics in AR shopping and give an in-depth discourse on 13 future research agenda points related to thematic, theoretical, methodological, and technological matters.

This study aims to investigate how aspects of mobility affect social media advertising effectiveness (i.e. consumer purchase intention) on mobile platforms from the perspective of the fit-viability model.

Data were collected through an online questionnaire survey of 378 WeChat users and used to test hypotheses with structural equation modeling.

Consumer purchase intention is significantly positively influenced by time flexibility, spatial flexibility, mobile lifestyle and ad relevance. Meanwhile, ambivalence toward ads mediates the relationships of time flexibility and spatial flexibility with purchase intention and moderates the relationships of mobile lifestyle and ad relevance with purchase intention.

The findings offer researchers and practitioners a new angle to understand advertising effectiveness on mobile social media and extend the application of the fit-viability model.

This paper fills the research gap on the role of mobility in social media advertising.

Esports (electronic sports) are watched by hundreds of millions of people every year and many esports have overtaken large traditional sports in spectator numbers. The purpose of this paper is to investigate spectating differences between online spectating of esports and live attendance of esports events. This is done in order to further understand attendance behaviour for a cultural phenomenon that is primarily mediated through internet technologies, and to be able to predict behavioural patterns.

This study employs the Motivation Scale for Sports Consumption to investigate the gratifications spectators derive from esports, both from attending tournaments physically and spectating online, in order to explore which factors may explain the esports spectating behaviour. The authors investigate how these gratifications lead into continued spectatorship online and offline, as well as the likelihood of recommending esports to others. The authors employ two data sets, one collected from online spectators (n=888), the other from live attendees (n=221).

The results indicate that online spectators rate drama, acquisition of knowledge, appreciation of skill, novelty, aesthetics and enjoyment of aggression higher than live attendees. Correspondingly, social interaction and physical attractiveness were rated higher by live attendees. Vicarious achievement and physical attractiveness positively predicted intention to attend live sports events while vicarious achievement and novelty positively predicted future online consumption of esports. Finally, vicarious achievement and novelty positively predicted recommending esports to others.

During the past years, esports has emerged as a new form of culture and entertainment, that is unique in comparison to other forms of entertainment, as it is almost fully reliant on computer-human interaction and the internet. This study offers one of the first attempts to compare online spectating and live attendance, in order to better understand the phenomenon and the consumers involved. As the growth of esports is predicted to continue in the coming years, further understanding of this phenomenon is pivotal for multiple stakeholder groups.

Social live-streaming services are an emerging form of social media that is gaining in popularity among researchers and practitioners. By facilitating real-time interactions between video content creators (i.e. streamers) and viewers, live-streaming platforms provide an environment for novel engagement behaviors and monetization structures. This research aims to examine communication foci and styles as levers of streaming success. In doing so, the authors analyze their impact on viewers' engagement with the stream.

This research draws on a unique dataset collected via a multi-wave questionnaire comprising viewers' perceptions of a specific streamer's communications and their actual behavior toward them. The authors analyze the proposed impact of communication foci on viewing and donating behavior while considering the moderating role of communication style using seemingly unrelated regressions.

The results show that communication foci represent a double-edged sword: community-focused communication drives viewership while reducing donations made to the streamer. By contrast, content-focused communication curbs viewing but drives donating.

Of specific interest for practitioners, the study demonstrates how streaming content providers (e.g. influencers) should adjust their communications to drive engagement in the context of synchronous social media such as social live-streaming services. Beyond that, this research identifies unique characteristics of engagement that can help managers to improve their digital service offerings.

Social live-streaming services provide an environment that offers unique opportunities for self-development and co-creation among social media users. By allowing for real-time interactions, these emerging social media services build on ephemeral content to provide altered experiences for users.

The authors highlight the need to distinguish between engagement behaviors in asynchronous and synchronous social media. The proposed conceptualization sheds new light on success factors of social media in general and social live-streaming services specifically. To maximize user engagement, content creators in synchronous social media must consider their communications' focus (content or community) and style (utilitarian or hedonic).

The purpose of this paper is to investigate the differences and relationships of push and pull motivations in two different rural tourism destinations.

Data were collected from tourists visiting rural tourism companies in Finland and in Tyrol (Austria). The data were analyzed using analysis of variance and correlation coefficients.

The results indicate significant differences of push and pull motivations in the two regions. In addition, tourists motivated by different variables obviously search for different destination attributes. For example, tourists motivated by the search of a once‐in‐a‐lifetime experience expect different destination attributes than those respondents searching for a sense of comfort or an opportunity to relax.

The low sample size in both Tyrol and Finland reduces the generalizability of the results.

The findings can be used by rural tourism companies and practitioners to understand how push and pull motivations affect tourist behaviour. Based on this information, marketing initiatives can be customized for various target segments in this particular market.

This is the first paper to examine the inter‐relationship between push and pull motivations in rural tourism and one of the most detailed studies on rural tourist motivations. Additionally, the comparison of the two countries underlines the assumption, that cultural or macro‐economic variables strongly influence push and pull motivations of consumers.

The purpose of this paper is to investigate how technological hubs (THs), defined as knowledge intermediaries, can assist companies in creating successful partnerships to develop innovations. Specifically, the authors ask how THs can help firms connect with horizontal networks and how THs can assist firms on finding suppliers and customers from the vertical network with whom to collaborate. By answering these two main questions, the paper sheds light on the important role of THs and its incubators as knowledge intermediaries in innovation co-creation.

The research is founded on a longitudinal case study of an Italian technologic hub, ComoNExT, that aims to improve the competitiveness of its local economy. Specific attention is given to the role of the incubator that was formed as a joint effort in the technology hub.

The authors find that THs can facilitate networking among tenants and among tenants and external actors within the same epistemic network. The TH that the authors studied is characterized by a new business model that is founded on providing value-added services and networking. The TH sustains the networking at different levels: within tenants, with local actors, extra-local and international actors. The authors’ analysis suggest that THs become knowledge intermediaries who allow firms to identify innovation parties and transform them into innovation partners and, thus, outline the shift from outsourced innovation to co-managed innovation.

The paper shows how knowledge intermediaries facilitate the intermediation between heterogeneous organizations who are located at different network positions and characterized by relational proximity that is the basis for reaching effective innovation. The research depicts how knowledge intermediaries reinforce the drivers of a co-membership network to co-create innovation to improve the strength of a relationship characterized by a shared vision.

This study aims to examine the role of experiential familiarity in determining the competitiveness of hotel chains. It does so by comparing the attribute-performance perceptions of guests who had and had not previously stayed at a property belonging to a specific hotel chain. It also examines how far such perceptions shape word-of-mouth and future purchase intentions.

Data were collected from 1,016 Finnish leisure tourists in 2021 using an online questionnaire, providing a representative sample of Finnish domestic leisure tourists.

The results indicate that the competitiveness of different hotel chains depends on a small number of key attributes. Differentiation between hotel chains can be seen from the results. Previous guests rate hotel chain attributes more highly than non-previous guests. Behavioral intentions do not differ between previous and non-previous guests, but how many times a person has stayed in the hotel chain significantly influences behavioral intentions. The results provide strategic levers that hotel chains can use to enhance their competitiveness.

Hotels should invest in attributes that have the biggest positive impact on customer behavior. These will be different for different hotel chains. By understanding these differences, it is possible to communicate relevant attributes to customers through marketing and develop hotel features that will drive revisit intention and word-of-mouth marketing.

This study found that while certain hotel attributes had a significant shaping effect on guests’ performance ratings, there were no decisive differences between those with or without experiential familiarity with the hotel chain.

In recent years, there has been significant interest in adopting XR (extended reality) technologies such as VR (virtual reality) and AR (augmented reality), particularly in retail. However, extending activities through reality-mediation is still mostly believed to offer an inferior experience due to their shortcomings in usability, wearability, graphical fidelity, etc. This study aims to address the research gap by experimentally examining the acceptance of metaverse shopping.

This study conducts a 2 (VR: with vs. without) × 2 (AR: with vs. without) between-subjects laboratory experiment involving 157 participants in simulated daily shopping environments. This study builds a physical brick-and-mortar store at the campus and stocked it with approximately 600 products with accompanying product information and pricing. The XR devices and a 3D laser scanner were used in constructing the three XR shopping conditions.

Results indicate that XR can offer an experience comparable to, or even surpassing, traditional shopping in terms of its instrumental and hedonic aspects, regardless of a slightly reduced perception of usability. AR negatively affected perceived ease of use, while VR significantly increased perceived enjoyment. It is surprising that the lower perceived ease of use appeared to be disconnected from the attitude toward metaverse shopping.

This study provides important experimental evidence on the acceptance of XR shopping, and the finding that low perceived ease of use may not always be detrimental adds to the theory of technology adoption as a whole. Additionally, it provides an important reference point for future randomized controlled studies exploring the effects of technology on adoption.