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This study aims to examine whether limited attention leads to the market underreaction to earnings announcement and 10‐K filings.

This is an empirical study involving statistical analysis of a large sample of data, obtained from Compustat, CRSP and Xignite Inc. Both portfolio analysis and multivariate regressions are used in hypotheses testing.

The following key findings are presented in the paper. First, we show that among large firms, investors under‐react more to the information contained in 10‐K filings than earnings announcements. Second, underreaction to earnings announcements tends to be stronger for small firms than large firms. Third, we find that companies report their earnings and 10‐Ks earlier when there is a higher demand for such information, and document a negative relationship between the degree of underreaction and the timeliness of such information release. Finally, we show that the recent ruling by SEC to accelerate 10‐K filing has little impact on the degree of investors' underreaction to 10‐K information.

The findings of this study suggest that investors' failure to devote enough attention to an economic event leads to underreaction, and the degree of underreaction is negatively correlated with the amount of investor attention.

Investors need to periodically reassess the informational contents of economic events, and allocate their attention accordingly, in order to avoid underreaction.

This study analyzes and the roles of limited attention in determining the degree of investor underreaction to earnings announcement and 10‐K filings. The comparison of the two related but distinct financial reporting events yields interesting insights.

The complicated social relationship in Chinese culture requires human resource management (HRM) practitioners to be aware of the implications of social network. This paper aims to disclose the relevance between social network structure and employees’ performance.

An empirical research is exploited in this paper. Based on cluster sampling method, the authors collected 336 employees’ socio-demographic characteristic data and social network data by means of face-to-face interviews using the structured questionnaire. In addition, employees’ performance data were obtained from the financial department, to support subsequent correlation analysis, grey relational analysis and OLS regression analysis.

The informal network, rather than the formal network, was observed to contribute more toward employees’ individual performance. We further found that structure centrality has a distinct advantage in delineating an individual’s power and status in the network, success over degree centrality, thus predicting individual performance.

For the management practice of an organization, the present study’s empirical results demonstrate that informal relations have a more decisive influence on individual performance than formal relations. This research also found that the structure centrality, from the perspective of networks’ structure heterogeneity, is valuable in discovering crucial staff in social networks, especially those in informal network associations.

First, the relations between network structure and individual performance have been summarized. Second, the different influences between formal and informal networks on individual performance have been discussed. Third, a new index – structure centrality to recapitulate network structure for developing social network theory – introduced. Finally, this paper is an attempt to explore the associations between social network structure and employees’ performance from the perspective of the whole network.

As a new type of spinning machine, the jet spinning machine absorbs the carding system of the rotating cup spinning series and the nozzle part of the jet spinning. This paper aims to intends to introduce the double carding structure currently studied by the rotating cup spinning into the jet spinning machine, and analyze the influence of the nozzle characteristic number on the flow field in the double carding structure to verify the advantages of the double carding structure.

The simulation is used to evaluate the performance of single/double split jet spinning and nozzle feature number, verify the technical advantages of double split jet spinning and evaluate the influence of nozzle feature number on flow field. The influence of the nozzle characteristic number on the flow pattern in the four models is compared. The advantages and disadvantages of a conventional single comb and a double comb with a bypass channel on the longer side of the transport channel as an additional air supply channel are also evaluated.

At present, the double comb technology of rotary cup spinning is being studied at home and abroad to improve the spinning quality and improve the difficult problem of mixed yarn with large difference in processing fiber properties. At present, the jet spinning machine combines the advantages of rotary cup spinning and jet spinning, absorbing the comb system of rotary cup spinning series and the nozzle part of jet spinning. Therefore, it is found that the introduction of the double-split structure into the wool jet spinning has research value to improve the spinning quality.

The purpose of this paper is to refer to the previous research on the double comb structure in rotary spinning, and to apply the double comb structure in the new jet spinning machine to improve the spinning quality. The simulation is used to evaluate the performance of single/double split jet spinning and nozzle feature number, verify the technical advantages of double split jet spinning and evaluate the influence of nozzle feature number on flow field.

Along with the important impact of green strategies on firm survival and performance improvement, its dark side likewise requires attention. By integrating network evolution theory with the literature on green supply chain management, this study proposes a theoretical framework consisting of green strategies, network conduct (cooperation length), network structure (structural holes) and relationship maintenance. The purpose of this study is to indicate how green strategies can affect relationship maintenance on the basis of a network evolution perspective, and demonstrate how this effect can be influenced by cooperation length and structural holes.

Based on a sample of 122 matched pairs of the upstream and downstream supply chain from the Chinese paper-making industry, which is in urgent requirement of green strategies due to high pollution and resource consumption.

This study theoretically and empirically indicates that green strategies may have a positive impact on relationship maintenance. In addition, this effect can be positively moderated by cooperation length, but negatively moderated by structural holes.

This study uncovers the impact of green strategies on relationship maintenance by proposing a network evolution perspective, which could solve its conflicting effects in a specific context and move extant research a step forward.

Given the complexity and increasing interdependence of supply chain networks, a broader perspective beyond a simple binary relationship is needed to analyse the impact of supply chain networks on firms. Based on social network theory, this study aims to explore the relationship between firms’ network position in the supply chain network and digital transformation, as well as the moderating effects of structural holes and network partners’ digitalisation.

This study analyses a sample of Chinese A-share companies listed on the Shanghai and Shenzhen Stock Exchanges for the period 2011–2020 using regression analysis to test hypothesised relationships.

A firm’s centrality in the supply chain network is positively related to its digital transformation, and that the firm’s structural holes and the level of network partners’ digitalisation can both strengthen the positive influence of network centrality on digital transformation. Moreover, the heterogeneity analysis reveals that the positive effect of firms’ network centrality on digital transformation is more pronounced in non-SOEs and upstream firms.

In the pursuit of digital transformation, firms should recognise the significance of their position in the supply chain network and enhance their capability for information and resource acquisition by proactively strengthening their business cooperation with other network members. Moreover, firms should emphasise the value of open networks and their partners in supply chain networks.

This study applies social network theory to investigate the role of a firm’s external supply chain network in its digital transformation, clarifying the context and boundaries in which a firm’s position in the supply chain network influences digital transformation. The results extend the research and theoretical perspective on digital transformation and the consequences of supply chain networks.

The aim of this paper, considering the two types of networks and the scope of power from structural holes, is to clarify the relationship between employees’ performance and their social network structure in Chinese small and medium enterprises from the whole-network perspective. The complicated relationship in Chinese culture requires human resource management (HRM) practitioners to be aware of the implications of social network.

An empirical research approach is used in this paper. Using the cluster sampling method, authors collected 118 employees’ characteristic data and network data by face-to-face interviews through structured questionnaire survey, and also got their performance data from the financial department, which support correlation analysis and OLS regression analysis.

First, informal network, but not formal network, has a significant impact on employees’ performance. Second, individual performance of brokerage is greater for direct than indirect contacts. Finally, broker-of-brokers will be the winner in the competition.

First, previous research focuses on egocentric network as the difficulty of data collection, while this paper analyzes a whole network based on the real social network. Second, this paper reveals the network structure mode where individuals get benefits. Third, it also uncovers the effect of relationship type on employees’ performance in Chinese SME. Finally, this paper identifies the status homophily and status crystallization phenomenon in the process of social network formation.

This study aims to investigate how firms’ internationalization activities through exporting influence their organizational learning. Specifically, this study examines how the level of exporting and geographic market scope impact a firm’s exploratory and exploitative R&D investment differently.

Using a sample of 7,055 firms in Spain during the period 2006–2011, the study uses regression analysis (generalized least squares random effects) to test various hypotheses.

Although exporting improves organizational learning, learning opportunities vary for different aspects of exporting. Specifically, the level of a firm’s exporting has a significant positive effect on its exploitative R&D investment, whereas geographic market scope of a firm increases its exploratory R&D investment.

The findings can aid in shaping policies and firms’ decisions pertaining to exporting and exploratory and exploitative R&D investment. As the findings indicate that, the determinants of exploratory and exploitative R&D investment are different, managers and policymakers, who aim at a specific type of R&D investment, should understand which exporting strategy they should pursue.

Prior research suggests that exporting improves organizational learning. This study extends this knowledge by showing that different aspects of exporting, specifically, the level of exporting and geographic market scope, drive different types of organizational learning.