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The purpose of this paper is to empirically analyze the dynamic relationship between stock market and bond market based on the effect of different information shocks.

This paper decomposes the information of stock market and bond market into public information and private information. The characteristics of response of stock market and bond market to the information shocks are examined by SVAR model and modified BEKK model.

The study shows that the information shocks in financial market yield not only the effect on linear asset return but also the effect on nonlinear asset volatility. The public information mainly produces a short effect of return while the private information mainly produces a permanent effect on volume. The interactive relation between stock market and bond market is mainly reliant on the effect of the information shock volatility to market return volatility.

The paper empirically analyzes the influence characteristics of different information shocks, which has some reference value not only for deeply understanding the market microstructure but also for improving the construction of various capital markets.

This study aims to examine how intercultural competence (IC) among university students can be enhanced through two streams of higher education internationalization: internationalization abroad and internationalization at home (IaH). By doing so, it aims to improve university students' IC through identifying which factors are more effective in fostering IC.

The study is not solely a literature review, but rather a conceptual exploration based on a selective review of the literature. Due to the exploratory nature of this study, we employed a thematic analysis approach to reviewing English language literature while incorporating relevant Chinese literature to ensure a more balanced representation.

We found that international students’ IC is influenced by their overseas learning experiences, which are closely related to the duration of stay, language proficiency, intercultural contact, university management and teachers and administrative support. On the other hand, domestic students’ IC has been influenced by various IaH experiences primarily within their home university campus, such as foreign language learning, international curriculum, extracurricular activities, communication between domestic and international students, integrated management of international students, the use of Internet and communication technology and so forth. Although a direct and definitive comparison is lacking, some comparative analyses suggest that IaH experiences may yield better results in enhancing the IC of domestic students.

This article advances the understanding of IC development. We call for further research that values the importance of IaH in the increasingly uncertain globalization and delves into comparative analysis of the effects of two streams of higher education internationalization.

To fill the gap, this article examines the inter-governmental collaboration mechanisms behind the platform curtain.

Behind the curtain is to look at what makes things happen backstage. For collaborative e-governance platforms, scholars have assumed that technological factors and user characteristics are the determinants for platform success. Little attention has been paid to the issue of how multiple governments, acting as platform co-builders and co-operators, interact and collaborate backstage to provide integrated e-services.

Based on data from survey questionnaires sent to government employees, the results show that governments’ information processing capacities cannot directly affect collaboration; however, these capacities can impact collaboration via the mediating variable of horizontal relations. In addition, we found that higher-ranking authorities are better suited to intervene once horizontal relations have been established and that more adaptable organizations are better at forming horizontal relations with peers. For governments participating in collaborative e-governance platforms, our findings are practically applicable.

The research question reads as: How do various government departments acting as platform co-builders and co-operators judge their collaboration performance, and what collaboration mechanisms contribute to it? We study this research question by constructing a conceptual model based on the Organizational Information Processing Theory (OIPT) and the Collaborative Governance Theory (CGT), both suggesting information processing capacities, organizational flexibility, horizontal relations and vertical intervention as indispensable factors influencing collaboration performance in ICT-supported groupwork. We propose and test four hypotheses on the relationships among these four factors to reveal the inter-governmental collaboration mechanisms for cross-government platformisation projects.

Original equipment manufacturers (OEMs) are increasingly discoursing well-known brands to support their own brands. This study explores how original equipment manufacturing (OEM) brand disclosure affects willingness to buy (WTB) by examining the mediation effect of perceived brand competence (PBC) and perceived brand warmth (PBW), as well as the moderating effects of product type and consumer self-esteem (CSE).

This study builds on signal theory and the stereotype content model to theorize the mediating role of PBC and PBW between OEM brand disclosure and WTB. A 2×2 between-subjects experiment with 442 participants was conducted, employing ANOVA, seemingly unrelated regression and moderated mediation tests to examine the hypotheses.

OEM brand disclosure is positively related to WTB through PBC and PBW. Specifically, PBC’s mediation effect on OEM brand disclosure is stronger than that of PBW. Additionally, the mediation effect of OEM brand disclosure on WTB via PBC is moderated by product type and CSE.

This study contributes to the existing brand self-disclosure and brand spillover literature by opening the black box of how OEM brand disclosure affects WTB and reveals the underlying mechanisms of PBC and PBW. It offers valuable insights for OEMs to leverage previous OEM brands to support their own brands by improving PBC and PBW and is more beneficial for consumers with high self-esteem and experience products.

The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial information disclosure potentially helps auditors make better assessments.

Using a sample of China’s listed firms from 2007 to 2021, the authors aim to find the relationship between customers’ financial restatements and their suppliers’ audit opinions. Heckman selection model, placebo tests and other robustness checks are used as well.

The findings reveal that customers’ financial restatements have a significant effect on the likelihood of suppliers receiving modified audit opinions. This relationship is pronounced when suppliers face a higher level of financial constraints, exhibit poorer accounting conservatism or receive more negative media coverage. Additionally, this effect occurs through increased business risk and information risk, which heightens auditors’ perceived audit risk. Moreover, the study highlights the influence of switching costs, auditor expertise and restatement severity on this relationship.

Risks originating from customers can spread along the supply chain, emphasizing the necessity for auditors to give heightened attention to both the audited firms and their customer information. Moreover, regulators should carefully consider the important impact of customer information disclosures to maximize the protection of the interests of external information users.

This study not only confirms the crucial role of customer information disclosures in annual reports for stakeholders and auditors but also contributes to the existing literature on customer–supplier relationships.

This study disentangles the impact of consumers’ adoption of mini-program channels on social media on their purchase behavior in e-marketplaces from a multichannel retailer’s perspective and examines the moderating roles of two types of brand messages (informational and transformational messages).

Based on 2,204 transaction records from a Chinese multichannel retailer, this study used a Poisson regression model with fixed effects for empirical testing. The case of the WeChat mini-program in China was employed.

Adopting mini-program channels on social media reduces consumers’ purchase frequency but increases their purchase breadth in e-marketplaces. Moreover, informational messages worsen the negative effect of mini-program channel use on purchase frequency. In contrast, transformational messages reduce the negative effect of mini-program channel use on purchase frequency and amplify its positive effect on purchase breadth.

Managers can effectively leverage mini-programs to widen the range of consumers’ product purchases in e-marketplaces and the intensity of transformation messages posted within mini-programs to alleviate their negative impact on purchase frequency in e-marketplaces.

Previous studies only focus on the intrachannel impact of mini-program channels; however, this study highlights their cross-channel impact. Its findings underscore the dual role of mini-program channel use in e-marketplaces. Additionally, the nuanced moderating effects of informational and transformational messages enrich our understanding of mini-program channels on social media. Moreover, a substitution framework is utilized to understand the cross-channel effects generated by mini-program channels, demonstrating the applicability and generalizability of the framework in a new context.

Firms strive to find new ways of boosting value creation through integrating knowledge for innovation. Open innovation has altered this quest for excellence and, accordingly, this study aims to investigate the antecedents and enablers of innovation performance in firms belonging to a knowledge-intensive service sector of a developing country.

As such, data were gathered through a survey approach, targeting telecom service firms in Pakistan. Hypotheses were tested using the partial least squares technique. Measurement and structural models were assessed following the recommended two-stage procedure.

Results showed that knowledge sourcing and customer engagement impact the innovation performance of firms, whereas transformational leadership, knowledge sourcing and customer engagement are linked to innovation with the mediating effect of absorptive capacity.

This research helps to improve the innovation management practices of the firms belonging to this important sector and thus enables them to achieve sustainable competitive advantage through building their absorptive capabilities.

Knowledge-intensive business services are largely excluded from the great debate on open innovation so far, with a few exceptions. This research proposes and tests a model of enablers of open innovation that contributes toward improving the innovation performance of telecom firms in a developing country.

Although big data analytics managerial skills (BDAMS) offer opportunities for firms to foster organizational agility, existing studies present inconclusive indications of this impact, with an overlooking of the intermediate pathways involved. This study explored how BDAMS affect organizational agility by investigating the mediation effect of data-driven organizational learning (DDOL) and the moderating roles of technological and market turbulence.

This study employed mediation and moderated mediation analyses to test the hypotheses using data collected from listed Chinese firms. Furthermore, we performed a fuzzy set qualitative comparative analysis (fsQCA) as a supplementary approach to identify the configurations that lead to organizational agility.

This study shows that DDOL partially mediates the relationship between BDAMS and organizational agility. Besides, technological and market turbulence positively moderate the effect of DDOL on organizational agility and the mediation effect of DDOL. Our additional analyses also reveal several patterns of conditions that facilitate agility.

This study offers a comprehensive exploration of the relationship between BDAMS and organizational agility by verifying the mediating effect of DDOL and moderating effects of technological and market turbulence. In addition, the fsQCA results highlighted the combinatorial effects of key factors in this study, reinforcing and refining the moderated mediation results.

Safety management plays an important part in coal mine construction. Due to complex data, the implementation of the construction safety knowledge scattered in standards poses a challenge. This paper aims to develop a knowledge extraction model to automatically and efficiently extract domain knowledge from unstructured texts.

Bidirectional encoder representations from transformers (BERT)-bidirectional long short-term memory (BiLSTM)-conditional random field (CRF) method based on a pre-training language model was applied to carry out knowledge entity recognition in the field of coal mine construction safety in this paper. Firstly, 80 safety standards for coal mine construction were collected, sorted out and marked as a descriptive corpus. Then, the BERT pre-training language model was used to obtain dynamic word vectors. Finally, the BiLSTM-CRF model concluded the entity’s optimal tag sequence.

Accordingly, 11,933 entities and 2,051 relationships in the standard specifications texts of this paper were identified and a language model suitable for coal mine construction safety management was proposed. The experiments showed that F1 values were all above 60% in nine types of entities such as security management. F1 value of this model was more than 60% for entity extraction. The model identified and extracted entities more accurately than conventional methods.

This work completed the domain knowledge query and built a Q&A platform via entities and relationships identified by the standard specifications suitable for coal mines. This paper proposed a systematic framework for texts in coal mine construction safety to improve efficiency and accuracy of domain-specific entity extraction. In addition, the pretraining language model was also introduced into the coal mine construction safety to realize dynamic entity recognition, which provides technical support and theoretical reference for the optimization of safety management platforms.

This study aims to better understand the morphological characteristics of single particle and the health risk characteristics of heavy metals in PM_2.5 in different functional areas of Handan City.

High resolution transmission electron microscopy was used to observe the aerosol samples collected from different functional areas of Handan City. The morphology and size distribution of the particles collected on hazy and clear days were compared. The health risk evaluation model was applied to evaluate the hazardous effects of particles on human health in different functional areas on hazy days.

The results show that the particulate matter in different functional areas is dominated by spherical particles in different weather conditions. In particular, the proportion of spherical particles exceeds 70% on the haze day, and the percentage of soot aggregates increases significantly on the clear day. The percentage of each type of particle in the teaching and living areas varied less under different weather conditions. Except for the industrial area, the size distribution of each type of particle in haze samples is larger than that on the clear day. Spherical particles contribute more to the small particle size segment. Soot aggregate and other shaped particles contribute more to the large size segment. The mass concentrations of hazardous elements (HEs) in PM_2.5 in different functional areas on consecutive haze pollution days were illustrated as industrial area > traffic area > living area > teaching area. Compared with the other functional areas, the teaching area had the lowest noncarcinogenic risk of HEs. The lifetime carcinogenic risk values of Cr and As elements in each functional area have exceeded residents’ threshold levels and are at high risk of carcinogenicity. Among the four functional areas, the industrial area has the highest carcinogenic and noncarcinogenic risks. But the effects of HEs on human health in the other functional areas should also be taken seriously and continuously controlled.

The significance of the study is to further understand the morphological characteristics of single particles and the health risks of heavy metals in different functional areas of Handan City. the authors hope to provide a reference for other coal-burning industrial cities to develop plans to improve air quality and human respiratory health.