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The main purpose of this paper is to explore the impact of digital transformation on enterprises' performance considering financing constraints in the capital market to explore whether digital transformation improves enterprises' performance through the financing constraints channel.

This study, using a panel data set of 14,669 observations of 2,858 non-financial enterprises that issued A shares on the Shanghai and Shenzhen stock exchanges from 2013 to 2019, theoretically and empirically tests the impact and mechanism of digital transformation on enterprise performance.

Digital transformation has a significant positive effect on enterprise performance; this conclusion remains the same after the robustness test and endogeneity problems are dealt with. Financing constraints play a mediation role between digital transformation and enterprise innovation. The effect of digital transformation on enterprise performance varies significantly by size, ownership and industry.

The theoretical contributions of this study not only enrich the literature on the economic benefits and mechanism of digital transformation but also expand the literature on the factors that influence enterprise performance. The practical contribution of this study is the reference that it provides for implementing decisions about enterprise digital transformation and formulating differentiated policies for government digital transformation.

This study addresses an important research question regarding how supplier-base concentration affects buyer efficiency. Drawing on the contradicting views of transaction cost theory (TCT) and resource dependence theory (RDT), the authors explore the main effect of supplier-base concentration on buyer efficiency and how this effect is contingent on buyers' characteristics (i.e. research and development (R&D) expenditure and market share).

Based on data collected from the Chinese manufacturing firms listed on National Equities Exchange and Quotations (NEEQ) between 2015 and 2019, the authors use a fixed-effect model as well as a two-stage least squares model to test the predictions.

The authors find that supplier-base concentration has a positive effect on buyer efficiency. In addition, when a buyer has higher levels of R&D expenditure and market share, the positive relationship between supplier-base concentration and buyer efficiency is strengthened.

This study contributes to a better understanding of the effect of supplier-base concentration. First, the authors provide theoretical and empirical evidence of the positive effect of supplier-base concentration on buyer efficiency. Second, the authors reveal the underlying mechanism of how to counter the potential drawbacks and benefit more from supply base reduction by introducing R&D expenditure and market share as contingencies.

This paper aims to investigate the effects of air inlet flow rate on the bearing cavity and operating conditions during the oil-air lubrication.

A model of oil-air lubrication of rolling bearings is established using computational fluid dynamics numerical simulation. Moreover, temperature and vibration experiments are carried out for comparisons and validation.

Results suggest that the velocity and pressure distributions of the oil-air flow inside the chamber are not uniform. Moreover, the uniform decreases with increasing air inlet flow rate. The non-uniform oil distribution inside the bearing significantly influences the bearing temperature rise and lubrication effect. Furthermore, the decrease in pressure uniformity enhances the vibration intensity and increases the amplitude of the vibration acceleration by more than 40 per cent. Increasing the air inlet flow rate improves lubrication and cooling efficiency but produces intense vibrations.

A method of establishing rolling bearings model under oil-air lubrication is presented in the paper. The effect of air inlet flow rate on flow uniform under oil-air lubrication has been researched insightfully. The results provide a useful reference to improve the oil-air lubrication system and enhance the operational stability of the motorized spindle.

Waste classification plays an important role in reducing pollution, promoting waste recycling and resource utilization. This paper aims to explore the multiple reasons that affect the performance of waste classification governance.

Content analysis of the existing waste classification policies is conducted using the Latent Dirichlet Allocation (LDA) model. Based on this analysis, influencing factors are identified through the technology-organization-environment (TOE) research framework. The condition configurations and action paths that cause differences in governance performance are derived using the fuzzy-set qualitative comparative analysis method (fsQCA).

The results show that there are spatial and temporal disparities in waste classification policies among different provinces/cities. In most situations, the implementation effect of policy combinations is better than that of a single type of policy, with mandatory policies playing a key role. Additionally, a single influencing factor cannot constitute the bottleneck of high governance performance. Policy topics coordinate with environmental and technical factors to influence governance performance. Finally, in light of China's actual governance situation, several targeted implications are proposed for the practical optimization of local government waste classification governance.

This paper presents a novel approach by integrating multiple heterogeneous data sources from both online and offline channels, adopting a public-government perspective and applying the fsQCA method to investigate the combined effects of technical, organizational and environmental factors on waste classification governance performance across 31 provinces and cities in China.

Facilitating supply chain visibility and traceability through effective information sharing is vital to improve the quality and safety of food products. However, we know little about the enablers of information sharing in food supply chains. Drawing upon resource dependence theory and social exchange theory, the purpose of this paper is to explore how farmers’ dependence on companies influences their trust in and relationship commitment to those companies, and in turn facilitates effective information sharing with them.

Data collected from 462 farmers in China were used to test the conceptual model and related hypotheses.

The results show that dependence has a significant positive effect on trust and relationship commitment, but it has no direct significant effect on information sharing. In addition, trust has a significantly positive influence on relationship commitment, and both trust and relationship commitment have significantly positive effects on information sharing. These findings show that strengthening farmers’ dependence on companies can cultivate farmers’ trust and relationship commitment, thereby encouraging them to share information with the companies.

Theoretically, this study contributes to the supply chain information sharing and relationship management literature. Practically, it shows how companies can effectively monitor production processes and improve food quality and safety through information sharing and relationship management.

This study aims to explore how different patterns of IT use influence different types of green supply chain management (GSCM) with customers, and in turn, environmental and economic performance.

Based on data collected from 206 manufacturing companies in China, the authors used structural equation modeling (SEM) with the maximum-likelihood estimation (MLE) method to test the conceptual model and the related hypotheses.

The results show that both IT use for exploitation and IT use for exploration are positively related to green strategy alignment and green process coordination, whereas the relationship between IT use for exploration and green strategy alignment is weaker. This study also finds that green strategy alignment has a marginal positive effect on economic performance, whereas its effect on environmental performance is not significant. Green process coordination has a positive effect on environmental performance, whereas its effect on economic performance is not significant.

This study extends the value of IT use in the GSCM field, enriching both literature on IT and GSCM. The findings provide significant managerial implications for managers to leverage IT resources to enhance GSCM and the corresponding performance.

This paper aims to investigate the antecedents of supply chain information integration (SCII) and their consequences on company performance from the perspective of resource-based view (RBV).

Based on empirical survey data collected from 202 Australian manufacturers, this study examines the effects of strategic supply chain relationship (SCR) and supply chain technology (SCT) internalization on external and internal information integration (II) and the effects of external and internal II on operational (operational efficiency and service quality) and financial performance. Structural equation modeling and the maximum-likelihood estimation methods are used to test the proposed relationships.

The results indicate that both strategic SCR and SCT internalization are positively related to external and internal II. Moreover, strategic SCR has a stronger positive relationship with external II than with internal II, and SCT internalization has a stronger positive relationship with internal II than with external II. Internal II is positively related only to service quality, and external II is positively related only to operational efficiency. Both operational efficiency and service quality are positively related to financial performance.

This study contributes to the SCII literature and provides significant managerial implications for manufacturers to leverage their supply chain resources and capabilities by establishing a resources-capabilities-performance framework for the antecedents and consequences of SCII.

In today’s world, there’s a growing recognition of the importance of cultural heritage. Mobile games have emerged as a powerful medium for the dissemination of culture. However, there’s a noticeable gap in the existing research concerning the cultural experiences within games and how they contribute to the development of cultural identity. This study addresses this gap by developing a scale to evaluate cultural experiences and constructing a theoretical model of cultural identity. By focusing on the popular mobile game “王者荣耀” (King of Glory), we highlight its rich representation of intangible cultural heritage elements and its influence on players' cultural identity. By doing so, it seeks to provide valuable insights and guidance for the development and design of mobile games.

To achieve its objectives, this study employs a combination of user interviews, factor analysis and structural equation modeling. These methods are used to identify four key dimensions of cultural experience and explore the intricate relationships between various influencing factors and the formation of cultural identity.

The concept of cultural experience within games encompasses four distinct facets: emotional connection, design aesthetics, perceived playfulness and knowledge acquisition. Aesthetic appreciation notably influences emotional connection and the overall enjoyment of the game. Furthermore, emotional connection plays a pivotal role in facilitating users' acquisition of knowledge. Additionally, users' cultural heritage values positively impact emotional connection, aesthetic appreciation, emotional attachment and, ultimately, their cultural identity. Within game-based cultural experiences, emotional connection and knowledge acquisition emerge as central elements that significantly influence users' sense of cultural identity.

The originality of this study lies in its pioneering construction of a comprehensive framework for assessing the impact of cultural experiences within mobile games on cultural identity. By examining “王者荣耀,” this study bridges the gap between intangible cultural heritage and interactive digital media, making an original and significant contribution to both fields.