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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.

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.

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.

The impact of network centrality on innovation performance is inconclusive. The purpose of this paper is to examine how formal and informal institutions affect the influence of network centrality on firms’ innovation performance in emerging economies by integrating social network theory and institutional theory.

Multisource and lagged data from 234 technology-based entrepreneurial firms listed on the Chinese Growth Enterprise Market were leveraged to test a proposed research model.

Results suggest that formal institutions (marketization) positively moderate the relationship between network centrality and innovation performance, whereas informal institutions (social cohesion) negatively moderate this relationship. Moreover, formal and informal institutions have a strong joint impact on such relationship, that is, the effect of network centrality on innovation performance is most positive when marketization is high and social cohesion is low.

This empirical research provides new insights into whether and how firms can grasp the innovation benefits of network centrality by exploring institutional contingencies. It further sheds on light the scope of the network centrality–innovation issue by extending its research context to Chinese entrepreneurial firms.

This study aims to establish the laser links between satellites among large-scale distributed satellite systems; a combined attitude control strategy containing two stages is proposed in this paper.

These two stages are: one is the attitude initial pointing control to change the attitude of satellite pointing to the other satellite based on the position information of each satellite; the other one is the high precision attitude tracking control to scan the uncertainty cone because the initial pointing control accuracy is not enough to establish the laser link. At the initial pointing control stage, a method to determine the target attitude of each satellite is presented based on the position information of each satellite, and the fuzzy adaptive control algorithm is used to control the satellites to its calculated attitude. Then, at the high precision attitude tracking control stage, a strategy for laser link acquisition and scanning the uncertainty cone by the lasers of the spacecraft is proposed, and an angular velocity tracking scanning controller is designed while the convergence of the attitude tracking error is ensured through Lyapunov–Krasovskii theory.

Simulations are conducted to verify the effectiveness of the proposed control algorithm, and the laser link for a large-scale distributed satellite system with super long distance is achieved through a combined attitude control strategy.

A combined attitude control strategy is valid for a large-scale distributed satellite system with super long distance.

A combined attitude control strategy can be used to achieve laser link acquisition for a large-scale distributed satellite system like space gravitational wave detection.

A combined attitude control strategy can provide a way to solve the typical problem that pointing control accuracy is not enough to establish the laser link for a large-scale distributed satellite system.