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According to the resource-based theory, a firm’s unique resources and capabilities are the key to its competitive advantage. This paper aims to investigate the effect of top management team (TMT) stability, an important intangible resource of the firm, on the maturity mismatch between investment and financing of companies. Additionally, we explore the moderating effects of state ownership and institutional ownership in this context.

This study conducts an empirical analysis based on the ordinary least squares (OLS) model with a sample of Chinese companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2022.

The results show that TMT stability significantly mitigates the degree of maturity mismatch. Both state ownership and institutional ownership weaken the negative effect of TMT stability on maturity mismatch. Besides, alleviating financing constraints is a crucial pathway through which TMT stability influences maturity mismatch.

The findings help firms to effectively retain TMT talents and reduce the occurrence of maturity mismatch.

This paper not only helps to expand the research on the economic effects of TMT stability but also provides new ideas on how to alleviate the maturity mismatch of companies.

A global industrial revolution driven by carbon neutrality and digital technologies (DTs) is fast gaining momentum. However, the present understanding of how firms should leverage digitalization for sustainability is underdeveloped. This paper aims to explore how digital orientation can improve environmental performance from the natural resource-based view.

Using a sample set of 132 Chinese firms, the authors adopt the hierarchical regression analysis and bootstrap approach to examine the hypotheses.

The empirical results show that green DT usage, green DT disposal and green practices-DT fit are three factors that mediate the positive relationship between digital orientation and environmental performance. In addition, of the five possible mediational paths, only the serial mediation of green DT usage and green practices-DT fit, as well as the serial mediation of green DT disposal and green practices-DT fit, show significant effects.

The authors contribute to the current digitalization and sustainability literature by demonstrating the processes through which digital orientation influences environmental performance. The study also provides managerial implications for firms to adjust their operations.

This paper aims to explore the nexus between family involvement and environmental, social and governance (ESG) performance based on socioemotional wealth theory, and it also analyzes the potential influence mechanism.

Based on the categorization of China Stock Market & Accounting Research database, this study divides the Chinese listed firms into family and nonfamily firms and applies multiple regression methods to test the theoretical hypotheses.

Family involvement can incentivize corporations to enhance corporate transparency, which can in turn enhance their ESG performance. The role of family involvement in bolstering corporate ESG performance is negatively contingent on external financing constraints.

There are insufficient studies on the nexus between family ownership and ESG performance. The findings provide insights into helping policymakers formulate targeted measures to encourage corporations to be more active in promoting ESG initiatives.

Electromagnetic shielding (EMS) fabrics composed of cotton, polyester and other high-polymer short-staple fibers are widely utilized in various fields. However, the inevitable pores in these fabrics lead to the leakage of electromagnetic waves, which severely diminishes the fabric’s shielding effectiveness (SE). To address this issue, this paper proposes the implantation of a metamaterial structure known as the “split ring resonator (SRR)” into the fabric.

Firstly, the types and principles of SRRs are analyzed. Through electromagnetic simulation and emulation, the effectiveness of SRRs in dissipating electromagnetic waves is confirmed. By selecting different embroidery methods, various shapes of SRRs are implanted into the fabric. Subsequently, through testing and analysis of sample fabrics embroidered with SRRs, it is concluded that implanting appropriate SRRs into pure cotton fabrics and cotton/polyester/stainless steel-blended EMS fabrics can effectively impart or enhance the SE of these fabrics.

For pure cotton fabric without inherent SE, the peak SE value can reach over 30 dB within the 6.57 GHz–7 GHz frequency band, and the minimum SE is greater than 10 dB in the 7 GHz–9.99 GHz frequency band. For the cotton/polyester/stainless steel-blended EMS fabric, the improvement in SE across all frequency bands exceeds 10 dB, averaging around 15.6 dB. The circular type SRR demonstrates the most significant improvement in fabric SE. When the substrate is composed of pure cotton or a cotton/polyester/stainless steel blend, the circular SRRs provide an average enhancement of more than 4 dB and 6 dB, respectively, than other shapes. The fewer the holes created by the implantation method, the higher the SE of the fabric after SRR implantation, with the invisible embroidery technique being the most effective. It improves the fabric’s SE by an average of about 2 dB more than flat embroidery and can be up to an average of around 6 dB higher than the backstitch embroidery technique. For every 0.2 cm increase in the size of the SRRs, the average SE increases by about 4 dB, and for every 0.5 cm increase in the spacing between them, the fabric’s SE decreases by an average of more than 2.7 dB.

This paper offers a novel approach to counteract the issue of pores reducing the SE of EMS fabrics and provides a new method for developing lightweight, thin, low-cost and high-performance EMS fabric composite materials.

Machine learning (ML) technologies are increasingly being applied in building cost estimation as an advanced method to overcome the challenge of insufficient data and subjective effects of experts. To address the gap of lacking a review of ML applications in building cost estimation, this research aimed to conduct a systematic literature review to provide a robust reference and suggest development pathways for creating novel ML-based building cost prediction models, ultimately enhancing construction project management capabilities.

A systematic literature review according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) was adopted using quantitative bibliographic analysis and qualitative narrative synthesis based on the 70 screened publications from Web of Science (WOS) and Scopus databases. The VOSviewer software was used to prepare the thematic focus from the bibliographic data garnered.

Based on the results of a bibliographic analysis, current research hotspots and future trends in the application of ML to building cost estimation have been identified. Additionally, the mechanisms behind existing ML models and other key points were analyzed using narrative synthesis. Importantly, the weaknesses of current applications were highlighted and recommendations for future development were made. These recommendations included defining the availability of building attributes, increasing the application of emerging ML algorithms and models to various aspects of building cost estimation and addressing the lack of public databases.

The findings are instrumental in aiding project management professionals in grasping current trends in ML for cost estimation and in promoting its adoption in real-world industries. The insights and recommendations can be utilized by researchers to refine ML-based cost estimation models, thereby enhancing construction project management. Additionally, policymakers can leverage the findings to advocate for industry standards, which will elevate technical proficiency and ensure consistency.

Compared to previous research, the findings revealed research hotspots and future trends in the application of ML cost estimation models in only building projects. Additionally, the analysis of the establishment mechanisms of existing ML models and other key points, along with the developed recommendations, were more beneficial for developing improved ML-based cost estimation models, thereby enhancing project management capabilities.

The social media expands the scope of museum marketing. Through the social media marketing, visitors get a rich and colorful visual experience, and the museum can quickly and effectively convey various information to visitors. At present, the research on social media in the museum industry mainly focuses on the level of technology use, while the research on the marketing application of social media is relatively scarce, especially from the empirical perspective. This study constructs a conceptual model to identify the impact of SMMAs on visitor experience in the context of the museum industry through the empirical analysis.

A survey is conducted with a total of 538 visitors who follow the fan page of the Palace Museum Weibo. The collected data are analyzed via structural equation modeling.

The results show that SMMAs have significant effects on social presence and social support, which in turn significantly affect flow state. Moreover, the results demonstrate that social presence and social support partially mediates the relationships between SMMAs and flow state.

The contribution of this study is twofold. First, from a theoretical perspective, it offers new insights into the conceptualization of social media marketing. Second, from a pragmatic perspective, the results are helpful to guide museums how to carry out social media marketing activities.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0564

This paper examines the evolving landscape of accounting and finance research on the Chinese capital market, building on a previous study published at Abacus in 2018.

By incorporating data from 1999 to 2023, our analysis offers a detailed examination of shifts in academic focus, methodological advancements and thematic expansions over the last quarter-century.

The study reveals a substantial increase in accounting and finance publications related to the Chinese capital market in both Tier 1 and Asia-Pacific journals. The dynamic growth of the Chinese capital market during this period reflects profound economic transformations, characterized by technological innovations, sustainability commitments and regulatory reforms.

We conclude that the globally important Chinese capital market has attracted increasing academic attention, significantly advancing the understanding of accounting and finance research in China’s capital market.

This study aims to examine the intergenerational transmission of ethnic culture among the Yao minority in China, focusing on how rapid societal changes and modernization impact cultural identity maintenance. The research seeks to understand the perspectives of different generations of Yao individuals regarding their traditional culture, external influences and ethnic identity. The study aims to identify factors that facilitate or hinder cultural transmission, assess the effectiveness of current cultural preservation efforts and uncover potential strategies for maintaining ethnic identity in a rapidly changing society. Additionally, the research investigates the role of traditional elements, such as ethnic clothing, in connecting younger generations to their cultural heritage.

This study employed a qualitative approach using grounded theory methodology to explore the intergenerational transmission of Yao ethnic culture in China. In-depth, semi-structured interviews were conducted with 30 Yao individuals representing different generations. Participants were purposively selected from two Yao villages in southern China. Data collection also included researcher observations and memos. Interviews were conducted in Chinese, translated to English and analyzed using NVivo12 software. The analysis followed the grounded theory approach of open, axial and selective coding. Triangulation was achieved through discussions with participants' peers and family members. Ethical considerations included obtaining informed consent, ensuring participant anonymity and securing institutional review board approval.

The study revealed three distinct generational attitudes towards Yao culture: rejection among older generations, semi-openness in middle-aged groups and initiated closeness in younger generations. Despite government policies supporting population growth, ethnic identity is not effectively transmitted across generations. Economic disparities between Yao communities and external society significantly influence cultural preservation, with younger generations prioritizing economic opportunities over traditional practices. However, traditional Yao clothing emerged as a potential link between younger individuals and their cultural heritage, offering a promising avenue for cultural preservation. The research also highlighted the impact of education, technology and media on shaping attitudes towards traditional culture and external influences across different age groups.

This study provides insights into the cultural transmission within the Yao minority in China, a previously understudied ethnic group. It uniquely examines the interplay between economic development, government policies and intergenerational attitudes in shaping ethnic identity maintenance. The research reveals an unexpected potential for traditional clothing to serve as a bridge between younger generations and their cultural heritage, offering a fresh perspective on cultural preservation strategies. By identifying distinct generational attitudes towards cultural identity, this study contributes valuable knowledge to the fields of ethnic studies, cultural anthropology and social psychology, while also informing policymaking for minority cultural preservation in rapidly modernizing societies.

This study aims to assess the mediating and driving roles of knowledge cooperation in the effectiveness of G60 Sci-tech Innovation Corridor (G60 STIC) for regional collaborative innovation within the knowledge economy context. Furthermore, it focuses on whether knowledge cooperation is more effective than resource cooperation in terms of spatial spillover and its mediating effects on collaborative innovation.

This study employs multiple statistical and econometric approaches, including social cooperation network, Super-DEA, spatial difference-in-difference model (SDID) and mediating effect model, to measure the effectiveness of knowledge cooperation and resource cooperation paths within the framework of the G60 STIC on regional collaborative innovation in the Yangtze River Delta region (YRD) from 2002 to 2022.

First, the knowledge cooperation networks validate the strengthening of collaborative innovation is primarily centred on provincial cities and leading manufacturing locales, with smaller cities radiating outwards from these centres. The knowledge cooperation network was generally stronger than the resource cooperation network. Second, the G60 STIC significantly enhances collaborative innovation efficiency by intensifying knowledge, resource and interactive cooperation networks. Third, within the context of the knowledge economy, knowledge cooperation presents a stronger spillover and mediating effect in stimulating collaborative innovation than resource cooperation.

This study clarifies the existence of a knowledge cooperation network and its mediating role in stimulating the effectiveness of strategic, innovative platforms on collaborative innovation. This further verifies the stronger role of the knowledge cooperation than the resource cooperation, which serves as a vital element in promoting strategic innovative platforms to optimise collaborative innovation.

Sexual violence has a profound impact on victim-survivors across the world, and these consequences extend beyond cultural boundaries. While the mental health consequences are well established across the Western world, less is known about the impact on victims in China. This is somewhat surprising given the size of the population. The purpose of this study is, therefore, to provide a rapid review of existing studies that have investigated mental health outcomes for victim-survivors of sexual violence in China.

In this brief review paper, the authors conduct and provide a thematic synthesis and scrutiny of evidence surrounding two rarely reported yet common types of sexual violence experienced by victim-survivors in China, intimate partner sexual violence and childhood sexual abuse, examining the impact on survivor mental health.

Taken together, studies show wide-ranging and severe psychological consequences, including depression, post-traumatic stress disorder, personality and identity difficulties and suicidal attempts and ideations.

The unique cultural traditions that appear to exacerbate victim-survivor abuse experiences, non-disclosure practices and mental health outcomes are also identified and considered with future interventions in mind.