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Drawing upon a push-pull-mooring model and the literature on behavioral loyalty, this research aims to examine the underlying factors and mechanisms that influence switching intention in the context of professional sport in Japan.

Using a two-wave survey design (pregame and postgame surveys), we collected data from 367 fans of a professional soccer team in Japan. Our data included three push factors (quality, satisfaction, and perceived value of the current favorite team), a pull factor (alternative team attractiveness), a mooring factor (team identification), and behavioral loyalty and switching intention to the alternative team. We used structural equation modeling to test our hypotheses.

A mediation analysis revealed that perceived value of an individual’s current favorite team was negatively associated with behavioral loyalty to an alternative team, whereas attractiveness of the alternative team was positively associated with behavioral loyalty, which, in turn, resulted in fans’ switching intention. Latent moderated structural equation modeling further revealed the negative moderating effect of team identification with the current team on the relationship between behavioral loyalty and switching intention.

The findings provide new evidence about the role of behavioral loyalty in understanding sport consumers’ switching intention and highlight the importance of team identification that can foster a sustainable and long-term relationship between fans and their favorite sport teams.

The purpose of this study is to investigate and analyse the potential of existing buildings in the UK to contribute to the net-zero emissions target. Specifically, it aims to address the significant emissions from building fabrics which pose a threat to achieving these targets if not properly addressed.

The study, based on a literature review and ten (10) case studies, explored five investigative approaches for evaluating building fabric: thermal imaging, in situ U-value testing, airtightness testing, energy assessment and condensation risk analysis. Cross-case analysis was used to evaluate both case studies using each approach. These methodologies were pivotal in assessing buildings’ existing condition and energy consumption and contributing to the UK’s net-zero ambitions.

Findings reveal that incorporating the earlier approaches into the building fabric showed great benefits. Significant temperature regulation issues were identified, energy consumption decreased by 15% after improvements, poor insulation and artistry quality affected the U-values of buildings. Implementing retrofits such as solar panels, air vents, insulation, heat recovery and air-sourced heat pumps significantly improved thermal performance while reducing energy consumption. Pulse technology proved effective in measuring airtightness, even in extremely airtight houses, and high airflow and moisture management were essential in preserving historic building fabric.

The research stresses the need to understand investigative approaches’ strengths, limitations and synergies for cost-effective energy performance strategies. It emphasizes the urgency of eliminating carbon dioxide (CO₂) and greenhouse gas emissions to combat global warming and meet the 1.5° C threshold.

Based on upper echelon theory and signaling theory, we aim to examine the impact of returnee executives on firms’ relative exploratory innovation focus and the moderating effect of economic policy uncertainty on this relationship.

Using panel data of Chinese listed companies from 2009 to 2020, we obtained empirical evidence to support our arguments.

Returnee executives positively influence firms’ relative exploratory innovation focus. This means that firms with returnee executives will shift the focus of their innovation activities toward exploratory innovation more than exploitative innovation. In addition, we find that economic policy uncertainty strengthens this relationship.

First, by showing how returnee executives positively influence firms’ shift in focus to exploratory rather than exploitative innovation, we expand our understanding of firms’ trade-offs between exploratory and exploitative innovation. Second, this study examines how returnee executives influence the relative importance that firms place on exploratory and exploitative innovation, allowing us to build a realistic and nuanced view of how returnee executives influence firms’ strategic choices. Finally, this study expands the strategic leadership literature and responds directly to the call for studies focusing on how institutional environmental conditions and executive characteristics work together to shape firm outcomes.

Thin cracks on the surface, such as those found in nuclear power plant concrete structures, are difficult to identify because they tend to be thin. This paper aims to design a novel segmentation network, called U-shaped contextual aggregation network (UCAN), for better recognition of weak cracks.

UCAN uses dilated convolutional layers with exponentially changing dilation rates to extract additional contextual features of thin cracks while preserving resolution. Furthermore, this paper has developed a topology-based loss function, called ℓ_cl Dice, which enhances the crack segmentation’s connectivity.

This paper generated five data sets with varying crack widths to evaluate the performance of multiple algorithms. The results show that the UCAN network proposed in this study achieves the highest F1-Score on thinner cracks. Additionally, training the UCAN network with the ℓ_cl Dice improves the F1-Scores compared to using the cross-entropy function alone. These findings demonstrate the effectiveness of the UCAN network and the value of incorporating the ℓ_cl Dice in crack segmentation tasks.

In this paper, an exponentially dilated convolutional layer is constructed to replace the commonly used pooling layer to improve the model receptive field. To address the challenge of preserving fracture connectivity segmentation, this paper introduces ℓ_cl Dice. This design enables UCAN to extract more contextual features while maintaining resolution, thus improving the crack segmentation performance. The proposed method is evaluated using extensive experiments where the results demonstrate the effectiveness of the algorithm.

This chapter explores how the development of football fandom for the Chinese national team and local football clubs is strongly associated with societal changes. Although the performances of Chinese football teams, especially the national team, have failed to impress the world, football remains the most popular because of millions of supporters with loyalty and passion. Most studies related to fans mainly focus on the economic and political implications of spectatorship along with the rise of China. Nevertheless, few articles are available to answer the fundamental questions, such as ‘When did these supporters come out?’ and ‘What were the factors of the development of fandom?’. By going through archival records and published documents over the last decades, this chapter offers a comprehensive and historical analysis of the development of football fandom in the People's Republic of China (PRC) and deals with these unanswered questions. As such, this chapter does not intend to be the most authoritative one but is one of the rare sources to lay down the foundation for research on Chinese football fandom. Furthermore, this chapter also proves that studies on football fandom can be a useful window for observing Chinese society.

The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.

Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.

Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.

This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.

This study aims to investigate the impact of diverse practices in sustainability reporting and assurance on the disclosure of sustainable development goals (SDGs). Specifically, the authors examine the disclosure of SDGs along two dimensions: disclosure breadth, denoting the number of goals mentioned, and disclosure depth, encompassing the extent of actions disclosed to advance these goals.

Using a panel Tobit regression analysis, the authors analyse the communication on progress questionnaires from 299 companies (resulting in 1,015 firm-year observations) participating in the United Nations Global Compact from 2017 to 2021.

The findings revealed that greater adherence to Global Reporting Initiative standards increases SDG disclosure breadth; external assurance using publicly recognised standards, more than proprietary methods, is associated with SDG disclosure breadth and depth; and the review of information by multiple stakeholders improves the depth of SDG disclosure more than evaluation by a panel of peers.

The originality of this study lies in its examination of the intricate interplay between sustainability disclosure and assurance practices, on the one hand, and the disclosure of SDGs, on the other. Uniquely, the authors consider the various levels of implementation of these practices, allowing for a comprehensive assessment of their influence on SDG disclosure.

There are variations in religious social norms and legal environments around the world. In this paper, we aim to examine the interaction between variations in religious social norms and legal environments on real activities manipulations and expense misclassification using a global sample of 63 countries. Our inquiry is motivated by a paucity of research on the interaction between legal environment and religion on earnings management practices in an international setting.

This study draws on a global sample of 63 countries to examine the effect of variations in religious social norms and legal environments on the trade-off between expense misclassification and real activities earnings management practices. Firm-specific financial data come from Global Compustat. Religion data are obtained from World Values Surveys of the World Bank. We obtain legal environment scores from the International Country Risk Guide.

Findings suggest that the interaction between law and religion serves as constraints on both classification shifting and real activities manipulation around the world. We find that religion strengthens the weak legal environment and the strong legal environment strengthens the weak religious environment to decrease both real activities manipulation and classification shifting when law and religion interact in an international setting. Therefore, our results contradict Zang's (2012) earnings management trade-off evidence. Again, our results contradict Malikov et al.’s (2018) evidence that mandatory International Financial Reporting Standards (IFRS) adoption is associated with increased real activities manipulation.

The study is limited to 63 countries limiting the generalizability of the findings.

This study provides novel evidence and shows that there is a link between law and religion. The interaction between law and religion decreases expense misclassification and real activities manipulation. We contribute that the interaction between religion and law benefits firms and increases shareholder value as real activities manipulation decreases. Therefore, strengthening the legal environment will complement religion, IFRS and other monitoring mechanisms put in place to mitigate unethical expense misclassification and real activities earnings manipulation around the world.

The rapid growth of the mobile money industry has been matched by a rise in mobile money fraud. The technology required to apprehend perpetrators of such fraud is nonexistent in most developing countries. Hence, the need for individuals to be willing to pay for insurance against such frauds is crucial. This paper aims to examine individuals’ willingness to pay for insurance against mobile money fraud in Ghana.

The paper uses nationally representative data collected from 4,266 adults (persons 18 years and above) in Ghana. Individuals’ willingness to pay premiums for protection against mobile money fraud was elicited by a single-bound dichotomous choice and open-ended contingent valuation designs.

On average, 24.34% of Ghanaians are willing to pay premiums for insurance against mobile money frauds, with more men (26.37%) being willing than women (22.56%). Similarly, the average monthly premium that men are willing to pay for protection against mobile money fraud is GH¢32.16 (US$8.16), while that of women is GH¢22.5 (US$5.62). Furthermore, the results show that years of schooling, income, previous fraud experience, and using the accounts for saving are all positively associated with willingness to pay. However, using other networks apart from MTN has a negative association with willingness to pay.

To the best of our knowledge, this is the first study that examines willingness to pay for insurance against mobile money fraud. Thus, this is the first that estimate quantitatively how much mobile account holders will pay as premiums for insurance against mobile money fraud.

In typical model-based calibration, linearization errors are derived inevitably, and non-negligible negative impact will be induced on the identification results if the rotational kinematic errors are not small enough or the lengths of links are too long, which is common in the industrial cases. Thus, an accurate two-step kinematic calibration method minimizing the linearization errors is presented for a six-DoF serial robot to improve the calibration accuracy.

The negative impact of linearization on identification accuracy is minimized by removing the responsible linearized kinematic errors from the complete kinematic error model. Accordingly, the identification results of the dimension-reduced new model are accurate but not complete, so the complete kinematic error model, which achieves high identification accuracy of the rest of the error parameters, is combined with this new model to create a two-step calibration procedure capable of highly accurate identification of all the kinematic errors.

The proportions of linearization errors in measured pose errors are quantified and found to be non-negligible with the increase of rotational kinematic errors. Thus, negative impacts of linearization errors are analyzed quantitatively in different cases, providing the basis for allowed kinematic errors in the new model. Much more accurate results were obtained by using the new two-step calibration method, according to a comparison with the typical methods.

This new method achieves high accuracy with no compromise on completeness, is easy to operate and is consistent with the typical method because the second step with the new model is conveniently combined without changing the sensors or measurement instrument setup.