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This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised learning-based approach is proposed to identify data set entities automatically from large-scale scientific literature in an open domain.

Firstly, the authors use a dictionary combined with a bootstrapping strategy to create a labelled corpus to apply supervised learning. Secondly, a bidirectional encoder representation from transformers (BERT)-based neural model was applied to identify data set entities in the scientific literature automatically. Finally, two data augmentation techniques, entity replacement and entity masking, were introduced to enhance the model generalisability and improve the recognition of data set entities.

In the absence of training data, the proposed method can effectively identify data set entities in large-scale scientific papers. The BERT-based vectorised representation and data augmentation techniques enable significant improvements in the generality and robustness of named entity recognition models, especially in long-tailed data set entity recognition.

This paper provides a practical research method for automatically recognising data set entities in scientific literature. To the best of the authors’ knowledge, this is the first attempt to apply distant learning to the study of data set entity recognition. The authors introduce a robust vectorised representation and two data augmentation strategies (entity replacement and entity masking) to address the problem inherent in distant supervised learning methods, which the existing research has mostly ignored. The experimental results demonstrate that our approach effectively improves the recognition of data set entities, especially long-tailed data set entities.

The purpose of this paper is to answer the theoretical and practical calls for an examination of the multi-level effects of empowering leadership on creativity. In addition, it attempts to link empowering leadership to creativity from the perspective of information processing, which is different from traditional mechanisms of psychology.

Based on the perspective of information processing, the authors tested how and why different levels of empowering leadership may relate to team and individual creativity. Multi-source data were collected from 62 team leaders and 295 team members. Statistical methods, such as the hierarchical linear model, hierarchical regression analysis, and bootstrapping tests, were used to analyze the data.

The results show that team and individual learning mediate the effects of empowering leadership on creativity at the team and individual levels. Interestingly, the authors also found that team learning negatively moderates the indirect and positive effect of individual empowering leadership on individual creativity.

The main limitation of this study is that the authors used cross-section data instead of longitudinal data to analyze the causal relationship. As such, the results may not truly reveal the causality.

The findings indicate that empowering leadership is important for stimulating both individual and team learning; thus, it benefits different levels of creativity. In addition, the results also suggest that there are interplay between different level mechanisms, and empowering team leader should trade-off individual and team learning effects in order to promote both team and individual creativity effectively.

This study contributes to the existing literature by providing a multi-level and cross-level analysis of empowering leadership and creativity. It clarifies how empowering leadership stimulates individual and team creativity at different levels simultaneously.

Philanthropy is taken as a strategic behavior by private enterprises to obtain financial resources from governments. This paper aims to examine the relationship between private enterprise philanthropy and the debt finance, further investigating the way by which governments exchange resources with private enterprises.

The paper opted for an empirical study using a sample of 1,489 Chinese private-listed companies from 2007 to 2010. The study analyzed the relationship between philanthropy and debt finance based on the resource dependence theory and social exchange theory and tested the moderating effect of political connection.

Philanthropy can help private enterprises to get the debt finance, and this effect occurs mainly among the political connected private enterprises; the higher degree of credit allocation marketization is, the less philanthropy can affect the debt finance and the less influence political connection can exert on that relationship. Philanthropy contributes to debt financing mainly because it can help obtain more long-term loan, and this effect is more obvious for politically connected private enterprises in regulated industries.

This paper verifies the action logic of private enterprises philanthropy from the perspective of exchange behavior, which is helpful to understand the motive and influence of private enterprises philanthropy.

The purpose of this paper is to build a link between empowering leadership and change-oriented organizational citizenship behavior (OCB) based on the theory of the socially embedded model so as to explore why empowering leadership has an impact on change-oriented OCBs and for whom this effect may be amplified or alleviated.

Using data collected from 203 employees and 80 supervisors in one information technology company, the authors examined the mediating role of thriving at work and the moderating role of autonomy between empowering leadership and change-oriented OCBs. The authors used statistical methods such as hierarchical regression, bootstrapping test, and so on to analyze the data.

The results indicated that empowering leadership was positively related to thriving at work, and thus in turn influenced change-oriented OCBs. In addition, employees’ autonomy orientation moderated those relationships such that when employees were had high autonomy orientations, they thrived at work to a high degree and were more likely to perform change-oriented OCBs.

The authors collected the data of this study within a single organization, and that may limit the observed viability and decrease external validity.

The findings suggest that leaders’ empowering behaviors are a critical factor for simulating employees’ change-oriented OCBs. They also indicate that leaders are better off empowering individuals with high autonomy orientations.

This study contributes to the literature by linking empowering leadership and change-oriented OCBs. It clarifies how and why empowering leadership can stimulate employees’ change-oriented OCBs.

The purpose of this paper is to document the relationship between intra-group coopetition and subsidiaries' innovation performance and the moderating impact of the intensity of external competition.

Data were collected from 75 subsidiaries in China through a questionnaire survey of their R&D and general managers. The total number of individual respondents was 205. We tested our hypothesis by using ordinary least squares regression.

Intra-group cooperation was found to promote a subsidiary's performance in product and process innovation. Intra-group competition was found to have a U-shaped relationship with product and process innovation. Intra-group cooperation strengthens the U-shaped relationship between intra-group competition and process innovation.

This study involved firms from more than one industry. Studies of specific industries might reach more specific conclusions. And all of the data were self-reported by the managers of the firms concerned. Future studies would be well-advised to consider more objective data describing pairs of parent firms and subsidiaries.

Subsidiaries ought to build their internal networks to cooperate with each other. That can bring significant advantages in terms of information and synergy in innovation. Subsidiaries are also suggested to take full advantage of the opportunities that intra-group competition brings.

This study is the first one to explore coopetition phenomenon in the context of business group. By taking Chinese business group subsidiaries as the research samples, this research not only extends the coopetition research but also reveals that cooperation and competition are co-existed and exert influence in subsidiaries.

The purpose of this study was to investigate the tribological properties of bulk Fe₂B with pre-oxidation treatment.

Bulk Fe₂B was oxidized in an electric box furnace with a soaking time of 9 min under 750°C in air. Then, the tribological experiments were carried out on an UMT-Tribolab tester.

The oxide layer was composed of Fe, Fe₂O₃, Fe₃O₄, B₂O₃ and H₃BO₃. The oxidative direction of bulk Fe₂B was perpendicular to the sample surface. But, the oxidative direction of Fe₂B crystals was irregular. At 0.1 m/s, the friction coefficient was the lowest. The effects of shortening the running-in period of friction and reducing the friction coefficient by pre-oxidation treatment at 0.1 m/s were remarkable. Nevertheless, the effect of pre-oxidation treatment was futile at 0.2 m/s. Wear mechanisms of oxidized Fe₂B mainly were adhesive and abrasive wear.

The effects of shortening the running-in period of friction and reducing the friction coefficient by pre-oxidation treatment were remarkable.

The regulations for qualitative genetically modified (GM) food labeling do not effectively eliminate the information asymmetries pertaining to the consumption of GM products. China's GM food labeling law requires the presentation of certain categories of GM products on GMO labels on packages. Such information is invaluable for understanding whether the disclosure of more information on GM foods can help alleviate information asymmetry while reducing consumer fear and risk perceptions of GM foods, and thus cause changes in their behaviors. The purpose of this paper is to explore the heterogeneity of consumer preferences for enhanced GM food labeling, how consumer preferences are influenced by labeling information, and how these preferences vary in different consumers.

Both descriptive statistics and econometric techniques, including the multivariate ordered Probit model, were applied to a sample of 566 urban consumers in the Yangtze River Delta region of China. All respondents were divided into two groups: people who would definitely not buy GM foods before selecting enhanced labeling information (“consumer group 1”, sample size 282) and people who would definitely not object to buying GM foods before selecting enhanced labeling information (“consumer group 2”, sample size 274).

The findings suggest that urban consumers have a preference for different types of enhanced labeling information about GM foods, that such a preference significantly influences their willingness to pay for GM foods, that there exists a large difference in the preferences of different consumer groups, and that enhanced GM food labeling information has a greater impact on those consumers who would not accept GM foods.

This research identifies the GM information disclosures that most affect consumer preferences and how these preferences vary across different segments of consumers, which is a current gap in the literature. The study has demonstrated that enhanced labels of GM foods with diverse information would not alter a consumer's WTP for GM foods who does not perceive the value of information from the enhanced labels, but change positively consumers with uncertainty willingness to pay before disclosure.

With the continuous deepening of China's mixed-ownership reform, the participants in the reform have gradually expanded from state-owned enterprises to private enterprises. Whether state-owned equity participation in private enterprises can facilitate the development of environmental, social and governance (ESG) performance in private enterprises is a question that needs urgent examination. This study aims to investigate the impact of state-owned equity participation on the ESG performance of private enterprises.

Using Chinese listed companies as the research sample, this study uses econometric methods such as multiple regression to analyze the relationship between state-owned equity and the ESG performance of private enterprises. Additionally, it explores the underlying mechanisms and influencing factors of this relationship.

There is a significant inverted U-shaped relationship between state-owned equity and the ESG performance of private enterprises. Mechanism analysis reveals that resource effects and governance effects play a mediating role in this nonlinear relationship. Furthermore, the authors find that environmental regulation and managers' attention to the environment positively moderate the relationship between state-owned equity participation and ESG performance.

A reasonable equity structure is crucial for enhancing corporate ESG performance. Moderate state-owned equity participation helps to leverage resource integration and governance advantages, which will assist private enterprises in maximizing ESG performance and achieving sustainable development.

In advancing the process of mixed-ownership reform, the government should maintain an appropriate proportion of state-owned equity to avoid excessive intervention in enterprise decision-making. At the same time, it should ensure that enterprises can genuinely undertake their social and environmental responsibilities while pursuing economic benefits. This is of great significance for promoting sustainable economic and social development.

This study integrates state-owned equity, ESG and nonlinear relationships into a single research framework. It explores the internal mechanisms and influencing factors of their relationship, overcoming the limitations of previous studies and provides a new perspective for understanding the impact of state-owned equity on corporate ESG performance.

To enrich the research on the economic consequences of enterprise digital development from the perspective of capacity utilization.

Using a sample of listed firms from 2010 to 2020, this paper exploits text analysis of annual reports to construct a proxy for enterprise digital development.

Results show that enterprise digital development not only improves their own capacity utilization but also generates a positive spillover effect on the capacity utilization of peer firms and firms in the supply chain. Next, based on the incomplete information about market demand and potential competitors when making capacity-building decisions, the mechanism tests show that improving the accuracy of market forecasts and reducing investment surges are potential channels behind the baseline results. Cross-sectional tests show the baseline result is more pronounced when industries are highly homogeneous and when firms have access to less information.

This paper contributes to the research related to the economic consequences of digital development. With the development of the digital economy, the real effects of enterprise digital development have also triggered extensive interest and exploration. Existing studies mainly examine the impact on physical operations, such as specialization division of labor, innovation activities, business performance or total factor productivity (Huang, Yu, & Zhang, 2019; Yuan, Xiao, Geng, & Sheng, 2021; Wang, Kuang, & Shao, 2017; Li, Liu, & Shao, 2021; Zhao, Wang, & Li, 2021). These studies measure the economic benefits from the perspective of the supply (output) side but neglect the importance of the supply system to adapt to the actual market demand. In contrast, this paper focuses on capacity utilization, aimed at estimating the net economic effect of digital development by considering the supply-demand fit scenario. Thus, our findings enrich the relevant studies on the potential consequences of digital development.