Search results

This paper aims to take International SPOrt (ISPO) as a typical case to study how exhibition organizers can reshape their relationship with users through business model innovation to answer the question that how enterprises can help the exhibition industry to upgrade and develop through business model innovation in the internet environment.

Faced with the development of internet technology, the impact of online platforms, the relationship between exhibition organizers and their customers are facing unprecedented challenges. On the basis of the literature review, this study analyzed the innovation of exhibitors’ business model from three modules: value proposition, revenue logic and cost base and how to reshape their interaction with users through innovation. This study systematically analyzed the innovation of the ISPO business model and the process of reshaping its relationship with users and dynamic interaction with a single case study method.

The main conclusions are as follows: the starting point of reshaping the relationship between exhibition organizer and users in the internet era is to re-understand the needs of customers, the key point of reshaping the relationship is to further cultivate the industrial value and the sustainability of the relationship lies in the customer life cycle management.

From the perspective of exhibition organizers filling the gap of case study in the field of the exhibition. In the area of the exhibition, previous studies rarely started from the perspective of exhibition organizers, but, this paper discusses the interaction between exhibition organizers, exhibitors and visitors from this perspective in this study.

Expenditures on beauty, fitness and body shaping by females have increased significantly in recent years. Most previous studies examined this from the psychological perspective of self-acceptance and self-liking. However, this phenomenon may also have social implications. This study aims to provide a profound understanding of the social environment for female professionals as well as actionable insights for the government and social institutions.

A research model was developed based on impression management and social identity theories incorporating impression management motives, impression construction consumption and social identity. A survey study of 419 Chinese female professionals was conducted to test the research model.

This study surveyed 419 Chinese female professionals and found that impression management motives significantly drove female professionals to spend on their faces and bodies for impression construction, which in turn contributed to the enhancement of their social identities in three dimensions: relational identity, public identity and collective identity.

In a male-dominated society, it has become a norm that females should be cautious about their facial appearance and body shape. Females are often forced to consume to attain physical attractiveness and to construct a favorable social image. This study shows that consumption for impression construction has become a frequently used strategy for impression management and identifies key areas of societal concern.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

This paper aims to explore the effect of participant composition and contribution behavior of the different types of participants on the quality of knowledge generation in online communities.

This study samples all the featured articles in Chinese Wikipedia and performs a Cox regression to reveal how participant composition and contribution behavior affect the quality of articles in different contexts.

The results show that an increase in the number of participants increases the possibility of either enhancing or reducing the article quality. In most cases, the greater the proportion of core members (people who frequently participate in editing), the higher the possibility of enhancing the article quality. Occasional participants’ editorial behavior hinders quality promotion, this negative effect weakens when such editorial behavior becomes more frequent.

The findings help to better leverage the role of online communities in practice and to achieve knowledge collaboration in a more efficient manner. For example, an appropriate centralized organizational form should be established in online communities to improve the efficiency of crowd contributions. And it is worth developing mechanism to encourage participants to frequently participate in editing the article.

This study contributes to the research on the organizational forms of online communities by showing the effect of participant composition and behavior in the new form of organizing on knowledge generation. This study also contributes to the research on wisdom of crowds by revealing who in a group of participants, in what context, and by what means influence knowledge generation.

This study explores the direct relationship between social media user-generated content (UGC), online search traffic and offline light vehicle sales of different models.

The long-run equilibrium relationship and short-run dynamic effects between the valence and volume of UGC, online search traffic and offline car sales are analyzed by applying the autoregressive distribution lag (ARDL) model.

The study found the following. (1) In the long-run relationship, the valence of online reviews on social media platforms is significantly negatively correlated with the sales of all models. However, in the short-run, the valence of online reviews has a significant positive correlation with all models in different lag periods. (2) The volume of online reviews is significantly positively correlated with the sales of all models in the long run. However, in the short run, the relationship between the volume of online reviews and the sales of lower-sales-volume cars is uncertain. There is a significant positive correlation between the volume of reviews and the sales of higher-sales-volume cars. (3) Online search traffic has a significantly negative correlation with the sales of all models in the long run. However, in the short run, there is no consistent conclusion on the relationship between online search traffic and car sales.

This study provides a reference for managers to use in their efforts to improve offline high-involvement product sales using online information.

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.