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In prior literature, online endorsement system allowing the users to “like” or “dislike” shared information is found very useful in information filtering and trust elicitation in most social networks. This paper shows that such systems could fail in the context of investment communities due to several psychological biases.

This study develops a series of regression analyses to model the “like”/“dislike” voting process and whether or not such endorsement distinguishes between valuable information and noise. Trading simulations are also used to validate the practical implications of the findings.

The main findings of this research are twofold: (1) in the context of investment communities, online endorsement system fails to signify value-relevant information and (2) bullish information and “wisdom over the past event” information receive more “likes” and fewer “dislikes” on average, but they underperform in stock market price discovery.

This study demonstrates that biased endorsement may lead to the failure of the online endorsement system as information gatekeeper in investment communities. Two underlying mechanisms are proposed and tested. This study opens up new research opportunities to investigate the causes of biased endorsement in online environment and motivates the development of alternative information filtering systems.

This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain.

Investigation and research method; Prototype method; Model method; Value analysis.

The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means.

This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.

This paper undertakes an empirical analysis of the impact of absorbed and unabsorbed slack, employing three different measures for each slack type, on firm profitability. We find that unabsorbed slack has a more favorable influence on future firm profitability than absorbed slack. While all the absorbed slack indicators have a significant negative influence on future profitability, the three unabsorbed slack indicators present positive, negative, and non-significant influences, respectively. The fewer constraints of unabsorbed slack on the redeployment to exploit new opportunities point to its comparative advantage over absorbed slack. We find evidence for the differential impact of absorbed versus unabsorbed slack on profitability in firms with lower levels of slack, which suggests firms prefer to withdraw resources from current business and redeploy them to develop new and more favorable business opportunities.

Drawing on conservation of resources theory, this paper aims to propose that daily multitasking increases employees’ daily role pressure, ultimately hindering their service innovation behavior. Furthermore, we suggest that trait mindfulness may mitigate this negative impact.

To empirically test the study hypotheses, this paper conducted a multilevel diary field study, collecting data from 64 employees over 10 working days to comprehensively validate the theoretical model.

The findings indicate that daily multitasking indirectly reduces daily service innovation behavior by increasing employee role pressure. Notably, this indirect effect is more pronounced among employees with lower trait mindfulness, while it is less significant for those with higher trait mindfulness.

Hotels should manage multitasking, reduce employee stress and promote service innovation by optimizing task allocation and redesigning work processes. Additionally, hotel management should adopt a multifaceted and innovative approach to foster mindfulness traits.

This study contributes to the literature on multitasking and innovation by examining how and when daily multitasking influences employee service innovation behavior.

As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research.

In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction.

With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs.

This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

Based on conservation of resources theory, this study explored the relationship between multitasking and creative work involvement through the mediation of emotional exhaustion, taking regulatory focus as a first-stage moderator.

Based on a three-wave and two-source survey among a sample of 418 employees and 116 leaders, this study conducted multilevel analyses to examine the conceptual model.

The results showed that multitasking was negatively associated with creative work involvement and that emotional exhaustion mediated the relationship between multitasking and creative work involvement. Furthermore, promotion focus and prevention focus moderated the relationship between multitasking and emotional exhaustion and the indirect relationship between multitasking and creative work involvement via emotional exhaustion.

Organizations can promote creative work involvement through interventions that reduce employees' multitasking or emotional exhaustion. In addition, supervisors should be aware of the different responses to multitasking exhibited by employees with different regulatory focuses and could potentially assign multiple tasks to employees with either a high promotion focus or a low prevention focus.

This study contributes to the literature on multitasking and creative work involvement by exploring whether and how multitasking is related to creative work involvement.

Stewardship theory is an emergent approach for explaining leadership behavior, challenging the assumptions of agency theory and its dominance in corporate governance literature. This study revisits the agency and stewardship theories by seeking to answer whether chief executive officers (CEOs) in China are committed stewards or opportunistic agents.

Based on 5,165 observations of 1,036 listed companies in China over the period 2005–2010, the results suggest that the corporate governance mechanisms developed from the agency theory in the West are not necessarily applicable in the Chinese context.

This study supports the stewardship theory in its findings that empowering CEOs through the practice of CEO duality and longer CEO tenure have a positive effect on firm value in China. Additionally, the positive relationships between CEO duality, CEO tenure and firm value are strengthened by the number of executive directors on the board, and weakened by the number of independent directors on the board.

One size does not fit all. Leadership behaviors in China do not follow the agency assumptions inherent in Western practices, rather they favor the conditions of positive leadership expressed by the stewardship theory. Assuming that the motivations of managers in emerging markets such as China are similar to those in the West may lead to a poor fit between governance policies and the institutional context.

As one of the few studies to connect the theoretical debate between the agency and stewardship theories, this study presents new evidence to support the stewardship theory, thereby strengthening its theoretical importance and relevance in corporate governance literature.

The purpose of the current study is to examine how and when home country identity salience of emerging market companies affects their overseas initial public offering (IPO) performance

By using secondary data from multiple sources, this study empirically tests the proposed research framework in the context of Chinese companies' overseas IPO activities in the US stock markets.

The results demonstrate that home country identity salience positively affects overseas IPO performance, and thus can be recognized as the asset of foreignness. Cultural specification positively moderates the effect of home country identity salience on overseas IPO performance. Market internationalization also plays an important moderating role in the relationship between home country identity salience and overseas IPO performance.

The current study identifies a new factor, that is, home country identity salience, that can mitigate the liability of foreignness for emerging market companies in their overseas IPO activities. The study also documents the positive cultural impacts on overseas investors in a financial and international context.

With the continuous increase in Web services, efficient identification of Web services that meet developers’ needs and understanding their relationships remains a challenge. Previous research has improved recommendation effectiveness by using correlations between Web services through graph neural networks (GNNs), while it has not fully leveraged service descriptions, limiting the depth and diversity of learning. To this end, a Web services recommendation method called LLMSARec, based on Large Language Model and semantic alignment, is proposed. This study aims to extract potential semantic information from services and learn deeper relationships between services.

This method consists of two core modules: profile generation and maximizing mutual information. The profile generation module uses LLM to analyze the descriptions of services, infer and construct service profiles. Concurrently, it uses LLM as text encoders to encode inferred service profiles for enhanced service representation learning. The maximizing mutual information model aims to align the semantic features of the services text inferred by LLM with structural semantic features of the services captured by GNNs, thus achieving a more comprehensive representation of services. The aligned representation serves as an input for the model to identify services with superior matching accuracy, thereby enhancing the service recommendation capability.

Experimental comparisons and analyses were conducted on the Programmable Web platform data set, and the results demonstrated that the effectiveness of Web service recommendations can be significantly improved by using LLMSARec.

In this study, the authors propose a Web service recommendation approach based on Large Language Model and semantic alignment. By extracting latent semantic information from services and effectively aligning semantic features with structural features, new representations can be generated to significantly enhance recommendation accuracy.