Bangxi Li, Chong Liu, Feng Zhao and Yanghua Huang
In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and improvement of…
Abstract
Purpose
In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and improvement of macroeconomic efficiency.
Design/methodology/approach
This paper expands Marx's reproduction schema into the “Marx–Sraffa” three-department structure table comprising fixed capital, general means of production and means of consumption and employs China's input–output table from 1987 to 2015 to portray the relationship between income distribution and macroeconomic efficiency under investment-driven growth.
Findings
This paper calculates the wage–profit curve of China's economy and evaluates the space of macroeconomic efficiency improvement in China based on the deviation between actual and potential income distribution structure.
Originality/value
The results show that there is a downward trend of the profit rate, which meets Marx's theoretical prediction, and the decline in the profit rate is mainly attributed to an increase in the organic composition of capital arising from the rapid growth of fixed capital investment under extended growth. The analysis of macroeconomic efficiency shows that the space for improving macroeconomic efficiency is extremely limited under traditional growth pattern and that China must transform its economic development pattern and foster new economic growth drivers.
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Ricardo Roseira Cayolla, Marco Escadas, Rui Biscaia, Timothy Kellison, Joana A. Quintela and Teresa Santos
The purpose of this research is to examine fans' perceptions of pro-environmental sustainability initiatives promoted by a professional sport club and the ensuing effects on a…
Abstract
Purpose
The purpose of this research is to examine fans' perceptions of pro-environmental sustainability initiatives promoted by a professional sport club and the ensuing effects on a triple bottom line (TBL) approach (i.e. fans' socially, environmentally and economically favourable behaviours).
Design/methodology/approach
Data were collected in two different steps using an online self-administered questionnaire (n1 = 1,043; n2 = 2,167) distributed to fees-paying members registered in the club's database. The analysis was carried out though structural equation modelling.
Findings
The results indicate good psychometric properties of the scale used to measure fans' perceptions of a club's pro-environmental sustainability initiatives (perceptions of pro-environmental sustainability initiatives in sports; p-PESIS). Additionally, there is a positive effect of p-PESIS on fans' social behaviours as well as on their daily environmental actions. Furthermore, p-PESIS also shows a positive effect at improving fans' economic activities towards the club.
Originality/value
Extending previous research, the authors tested a scale to measure fans' responses to pro-environmental sustainability initiatives in sport and examined their links to the TBL dimensions. Pro-environmental sustainability initiatives in sport benefit not only the club itself (by reinforcing fans' activities with the club) but also society as a whole, as it can promote fans' conscientiousness and likelihood to behave in environmentally and socially favourable ways.
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Hsin-Chen Lin and Patrick F. Bruning
The paper aims to compare two general team identification processes of consumers’ in-group-favor and out-group-animosity responses to sports sponsorship.
Abstract
Purpose
The paper aims to compare two general team identification processes of consumers’ in-group-favor and out-group-animosity responses to sports sponsorship.
Design/methodology/approach
The paper draws on two studies and four samples of professional baseball fans in Taiwan (N = 1,294). In Study 1, data from the fans of three teams were analyzed by using multi-group structural equation modeling to account for team effects and to consider parallel in-group-favor and out-group-animosity processes. In Study 2, the fans of one team were sampled and randomly assigned to assess the sponsors of one of three specific competitor teams to account for differences in team competition and rivalry. In both studies, these two processes were compared using patterns of significant relationships and differences in the indirect identification-attitude-outcome relationships.
Findings
Positive outcomes of in-group-favor processes were broader in scope and were more pronounced in absolute magnitude than the negative outcomes of out-group-animosity processes across all outcomes and studies.
Research limitations/implications
The research was conducted in one country and considered the sponsorship of one sport. It is possible that the results could differ for leagues within different countries, more global leagues and different fan bases.
Practical implications
The results suggest that managers should carefully consider whether the negative out-group-animosity outcomes are actually present, broad enough or strong enough to warrant costly or compromising intervention, because they might not always be present or meaningful.
Originality/value
The paper demonstrates the comparatively greater breadth and strength of in-group-favor processes when compared directly to out-group-animosity processes.
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Anne Parkatti, Tiina Saari, Mia Tammelin and Mikko Villi
This article aims to study digital competence (DC) in media work.
Abstract
Purpose
This article aims to study digital competence (DC) in media work.
Design/methodology/approach
The authors utilize frame analysis to investigate how DC is framed in media work using 30 semi-structured interviews as data with journalists in Finland.
Findings
The authors identify three main frames of DC in the context of media work. The individual attitude frame emphasizes employees' attitudes toward DC, the team-level support frame underlines the need for support in the work community and the organizational-level practice frame highlights enablers of and organizations' requirements for digital competence.
Practical implications
First, media workers' DC is necessary to enhance work efficiency and accomplish tasks and may be supported with supportive management practices. Second, the findings suggest that DC should be understood and analyzed as a multi-level issue. Third, the findings suggest that appropriate continuing education and study opportunities were needed. Besides formal arrangements for learning, informal contexts of learning are important.
Originality/value
The article contributes to media studies and studies on the digitalization of work by taking account of the organizational, team and individual levels in discussing digital competence in the news media sector.
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Giovanna Centorrino, Valeria Naciti and Daniela Rupo
The study aims to investigate the impact of technological innovation, such as blockchain, in the music field from a value co-creation perspective, highlighting how it is…
Abstract
Purpose
The study aims to investigate the impact of technological innovation, such as blockchain, in the music field from a value co-creation perspective, highlighting how it is determining a radical change in the business model and value creation process.
Design/methodology/approach
To shed light on how blockchain adoption is reconfiguring the music industry, the authors adopted a qualitative-based approach based on a case study, allowing us to investigate value co-creation at three levels (macro, meso and micro) through exchange and integration of multi-actor resources.
Findings
The authors found that blockchain adoption in the music industry can singularly shape the business model, representing a powerful tool to enhance inter-organizational cooperation in value creation. It effectively deals with operational and business issues, besides financial transactions, profoundly impacting both the creation and distribution of value within the supply chain.
Research limitations/implications
The research contributes to a better understanding of innovation adoption in a specific setting, the music industry, giving support and guidance for players working in this ecosystem. The blockchain-music link helps close the gap between music and society through technology, thus providing a foundation for future research.
Originality/value
The paper provides new insights into the antecedents and mechanisms of value co-creation, spanning macro-, meso-, and micro-levels of context. It also illustrates the factors underpinning Bitsong viability to embed the value co-creation perspective in designing the business model within a value network.
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Makoto Nakazawa, Masayuki Yoshida and Brian S. Gordon
Integrating several streams of theoretical reasoning such as social identity theory, congruity theory and the customer gratitude approach, the purpose of this paper is to develop…
Abstract
Purpose
Integrating several streams of theoretical reasoning such as social identity theory, congruity theory and the customer gratitude approach, the purpose of this paper is to develop a model of the antecedents and consequences of sponsor-stadium fit and examine the hypothesised relationships.
Design/methodology/approach
Data were collected from professional football spectators in a non-historic stadium context (n=342). Through a confirmatory factor analysis and structural equation modelling, the authors assessed the antecedents and consequences of sponsor-stadium fit.
Findings
Based on the results, team identification and prior sponsor attitude were found to be the dominant factors in enhancing sponsor-stadium fit. Furthermore, the indirect effects of team identification on purchase intentions through sponsor-stadium fit and gratitude towards the sponsor were positive and significant.
Research limitations/implications
When renaming non-historic stadiums of relatively new sport teams, sponsors that present a team-related brand identity can create a preference and image fit with stadiums. The findings serve to advance the literature on stadium sponsorship particularly at non-historic stadiums.
Originality/value
In its conceptualisation of sponsor-stadium fit, the current study extends previous research that has focused primarily on sponsor-event fit.
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Xiaochen Zhang and Huifang Yin
The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.
Abstract
Purpose
The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.
Design/methodology/approach
This paper takes advantage of information disclosure during the bond issuance and examines the spillover effect of unlisted bond issuers' information disclosure on listed firms in the stock market. The sample is composed of A-share firms listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2018. All the data are obtained from the China Stock Market and Accounting Research and WIND databases. The impact of bond market information disclosure on price informativeness of listed firms in the same industry is identified through multivariate regression analyses.
Findings
Empirical results show that price informativeness of listed firms has a significantly positive association with the information disclosure of same-industry unlisted bond issuers. Further analyses show that the above finding is more significant when information disclosure of bond issuers is a more important channel for acquiring industry information (i.e. when industry is more concentrated, when economic uncertainty is high, and when industry information is less transparent) and understanding the industry competitive landscape (i.e. when bond issuers are relatively large, when bond issuers and listed firms have more direct product competition, when bond issuance firms are large-scale state-owned business groups), and when there are more cross-market information intermediaries (i.e. more cross-market institutional investors and more sell-side analysts). This paper indicates that information disclosure of bond issuers has a positive spillover effect on the stock market.
Originality/value
The novelty of the research is that the authors examine industry information spillover from unlisted firms to listed firms leveraging on unlisted firms' information disclosure in bond markets.
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Boxu Yang, Xielin Liu and Wen Liu
The purpose of this paper is to reveal the paradox between diversification and specialization from a dynamic perspective. More precisely, this paper will analyze the impact of…
Abstract
Purpose
The purpose of this paper is to reveal the paradox between diversification and specialization from a dynamic perspective. More precisely, this paper will analyze the impact of diversification and specialization as well as their interaction on regional innovation in different development stages.
Design/methodology/approach
Based on the principles of new economic geography and innovation geography, data from 30 provinces from 2001 to 2017 was used to explore the relationship. Least squares regressions with fix effect were used to examine the hypotheses.
Findings
The results show that both diversification and specialization have a significant and positive impact on regional innovation. The interaction of diversification and specialization also significantly and positively impacts regional innovation. The effect of industrial agglomeration is heterogeneity under different development stages.
Practical implications
This paper verifies the positive role of diversification and specialization and their interaction in promoting regional innovation. The impact of industrial agglomeration on innovation is dynamic and changes with the regional development process. Emerging economies should make appropriate industrial agglomeration strategies according to their development stages.
Originality/value
This paper introduces diversification, specialization and their interaction into the research framework at the same time to analyze their impact on innovation performance which deepened the research of industrial agglomeration. Taking China as an example, this paper also examines the impact of industrial agglomeration on regional innovation in different development stages that expands the dynamic perspective of industrial agglomeration.
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Xiangpeng Yang and Yi He
As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises…
Abstract
Purpose
As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises. The crowd decision-making of the intellectual community plays an important role in the active participation of many individuals and schools in giving their wisdom, effectively solve the problems of negative internet communication, single publicity media and unprofessional promotion team in WeChat public account.
Design/methodology/approach
This paper aims to optimize the content and improve the effectiveness of network ideological and political education in universities. This study analyzes five highly popular WeChat public accounts at the Central University of Finance and Economics in 2019. It obtains the popularity index of tweets using the WeChat communication index algorithm and finds that the important factors that influence tweet popularity are release time and content value.
Findings
To improve the public account tweets, this study highlights the connection between the tweets’ value and students’ emotional needs, which enhances the value of tweet content in students’ life and provides more original and distinctive content.
Originality/value
This study found that the content and interest of college students are tweet time, tweet value and tweet content. Therefore, the public account of college ideological and political education should be improved from the following three aspects: realizing the connection between the value of tweet content and students’ emotional needs; enhancing the value of tweet content in students’ life and learning; and insisting on the original and distinctive original intention of tweet content.
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Xuejun Zhao, Yong Qin, Hailing Fu, Limin Jia and Xinning Zhang
Fault diagnosis methods based on blind source separation (BSS) for rolling element bearings are necessary tools to prevent any unexpected accidents. In the field application, the…
Abstract
Purpose
Fault diagnosis methods based on blind source separation (BSS) for rolling element bearings are necessary tools to prevent any unexpected accidents. In the field application, the actual signal acquisition is usually hindered by certain restrictions, such as the limited number of signal channels. The purpose of this study is to fulfill the weakness of the existed BSS method.
Design/methodology/approach
To deal with this problem, this paper proposes a blind source extraction (BSE) method for bearing fault diagnosis based on empirical mode decomposition (EMD) and temporal correlation. First, a single-channel undetermined BSS problem is transformed into a determined BSS problem using the EMD algorithm. Then, the desired fault signal is extracted from selected intrinsic mode functions with a multi-shift correlation method.
Findings
Experimental results prove the extracted fault signal can be easily identified through the envelope spectrum. The application of the proposed method is validated using simulated signals and rolling element bearing signals of the train axle.
Originality/value
This paper proposes an underdetermined BSE method based on the EMD and the temporal correlation method for rolling element bearings. A simulated signal and two bearing fault signal from the train rolling element bearings show that the proposed method can well extract the bearing fault signal. Note that the proposed method can extract the periodic fault signal for bearing fault diagnosis. Thus, it should be helpful in the diagnosis of other rotating machinery, such as gears or blades.