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Article
Publication date: 25 June 2021

Linyan Liu and Yilei Wang

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…

427

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Nankai Business Review International, vol. 12 no. 2
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 20 December 2024

Zhifeng Shen, Xiangdong Wei, Ahsan Siraj, Shilpa Taneja, Linyan Fang and Zhihui Li

The aim of this study is to find the governance mechanism that matches the EPC project governance model as well as the performance criteria for measuring the quality governance of…

30

Abstract

Purpose

The aim of this study is to find the governance mechanism that matches the EPC project governance model as well as the performance criteria for measuring the quality governance of EPC projects so as to improve the level of quality of EPC project delivery.

Design/methodology/approach

An in-depth questionnaire survey of 199 EPC engineering practitioners and quality control units was conducted and the survey data was analysed using SPSS 24.0 software.

Findings

The results show that administrative governance, industry governance and internal project governance have direct effects on the quality governance performance of EPC projects. Administrative governance has a positive impact on the quality governance performance of EPC projects through industry governance and project internal governance.

Research limitations/implications

This study enriches the research on engineering quality governance in the context of EPC projects, discusses how to improve the performance of EPC engineering quality governance and will provide certain reference and information for other EPC projects to establish an adapted engineering quality governance mechanism.

Originality/value

This paper exploratively proposes EPC administrative governance mode, industry governance mode and internal project governance mode and analyzes the logical relationship between them and EPC project quality governance performance and constructs a theoretical model influencing the improvement of EPC project quality governance performance.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 31 January 2023

Dan Wang, Sigen Song, Fanny Fong Yee Chan and Linyan Feng

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…

534

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Social Marketing, vol. 13 no. 2
Type: Research Article
ISSN: 2042-6763

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Book part
Publication date: 14 December 2018

Shatha Qamhieh Hashem and Islam Abdeljawad

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…

Abstract

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.

Details

Management of Islamic Finance: Principle, Practice, and Performance
Type: Book
ISBN: 978-1-78756-403-9

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Article
Publication date: 25 July 2024

Shutian Wang, Yan Lin, Lu Yan and Guoqing Zhu

Online comments significantly impact consumer choice and product sales. Existing research focuses on the direct effects of online comments on product sales, whereas studies on the…

173

Abstract

Purpose

Online comments significantly impact consumer choice and product sales. Existing research focuses on the direct effects of online comments on product sales, whereas studies on the spillover effects of online comments are relatively limited, especially for high-involvement products. This study explores the impact of online comments of competing products on focal product sales in high-involvement products.

Design/methodology/approach

Data mining techniques are used to collect 72,367 online comments from the Autohome platform, and sentiment analysis algorithms are used to quantify the textual information for subsequent analysis. Specifically, two panel two-way fixed-effects models are constructed to explore the impact of the average valence and quantity of online comments of competing cars on focal car sales, and analyse this impact in terms of heterogeneity across car price levels, while the moderating effect of online comments of competing cars is explored.

Findings

The results show that the average quantity of online comments of competing cars has a significant effect on the sales of the focal car in the overall sample, while the average valence of online comments of competing cars does not have a significant spillover effect. Moreover, the spillover effect varies by car price level. For high-priced cars, the average quantity of online comments of competing cars significantly and negatively affects focal car sales, and the average valence of online comments of competing cars significantly and negatively moderates the effect of the valence of focal car online comments on its sales. For lower-priced cars, online comments of competing cars don’t significantly affect focal car sales.

Originality/value

This study not only enriches the theory of online comments and high-involvement product sales, but also provides reference and guidance for exploring spillover effects of online comments for other products.

Details

Industrial Management & Data Systems, vol. 124 no. 9
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 31 January 2020

Yan Lin and Chenxi Wang

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…

649

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Knowledge Management, vol. 24 no. 2
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 12 July 2022

Shutian Wang, Yan Lin, Yejin Yan and Guoqing Zhu

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

513

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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

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Article
Publication date: 3 April 2024

Danting Cai, Hengyun Li, Rob Law, Haipeng Ji and Huicai Gao

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…

877

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 12
Type: Research Article
ISSN: 0959-6119

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