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This study aims to explore the effect of competitive aggressiveness on firm performance and the moderating effect of firm 2019s ego-network structures in the international coopetition network.

From the perspective of strong cooperation of the global automobile industry in recent years, this study uses the global automobile firms in Factiva database as samples to test hypotheses using the least squares dummy variable (LSDV) model.

This study finds that there is different relationship between the number and variety of competitive actions and firm performance. In addition, ego-network structures have different coefficients for the number and variety of competitive actions.

The conclusions provide theoretical support and policy suggestions for firms to develop effective competitive strategies according to ego-network structures in the international coopetition network.

The purpose of this study is to examine the effect of stakeholder orientation in mediating the impact of female directors on environmental innovation. The authors argue that female directors are eco-friendly and more concerned with multi-stakeholder interests and demands. Thus, they promote environmental innovation by including more stakeholder-oriented values and beliefs in firm decision-making.

As the dependent variable in this study is a nonnegative count variable, the authors use a count data model based on Poisson regression. A sample of Chinese listed firms between 2010 and 2020 is used to test the hypotheses.

The results of this study show that female directors can enhance environmental innovation. Further, stakeholder orientation represents an intermediate channel that accounts for the effects of female directors on environmental innovation. This suggests that having women on a board can lead to better stakeholder management, which, in turn, positively affects environmental innovation. The authors also reveal that female directors contribute more to stakeholder orientation with the presence of female chairpersons.

A significant limitation in the literature is that little attention has been paid to the mechanisms linking female directors to firm outcomes. In the context of environmental innovation, while previous studies have investigated the influence of female directors on environmental innovation, the underlying channels of that influence remain largely unexplored. Therefore, the findings of this study advance the understanding of the effects of female directors on environmental innovation by revealing an important underlying channel – stakeholder orientation.

This paper aims to examine the influence of overconfident or conservative CEOs on the performance feedback of R&D investment, as well as the combined impact of CEO overconfidence and demographic characteristics on the relationship between performance feedback of R&D investments.

Grounded in the upper echelon theory, listed companies in China are selected as samples, and the Heckman two-stage model is used to examine all the models.

This paper reveals that overconfident CEOs tend to make suboptimal investment decisions. These decisions are influenced by cognitive biases that have a negative impact on the performance of R&D investments. However, the negatively moderating effects of CEO overconfidence can be mitigated if they have overseas experience or academic background, or they are younger.

These mechanisms highlight the various ways in which CEO psychological factors and demographic characteristics can complement each other.

This study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of their specific internal environment, shaping their ability to respond to the outbreak, so the impact may also vary.

In this paper Chinese listed firms are selected as samples to investigate the mediating effect of prior digital technology on the relationship between R&D (research and development) investment (funds and staff) and firm performance during the epidemic. Firm size and diversification are then introduced as moderating variables to explore the conditional mediating effect of digital technology.

The results indicate that the higher the firm's prior R&D investment, the higher its digital technology level, and thus the stronger its resistance to the epidemic. Moreover, compared with large-scale firms, small-scale firms have the advantage of strategic flexibility to technological changes, which can help them accumulate experience from R&D activities for digital transformation, thus attenuating the negative impact of the COVID-19 on firm performance. Finally, the results also show that digital technology mediates more strongly between R&D investment and firm performance in diversified firms than in centralized firms.

The study builds a mediation model to reveal the process mechanism through which R&D investment affects firm performance via digital technology. Firm size and diversification are then innovatively introduced as situational factors to build the moderated mediation model, which opens up a new perspective for understanding the effect of firm internal factors on the relationship between R&D investment, digital transformation and firm performance.

This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share.

This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis.

This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share.

This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.

This paper aims to examine the impact of research and development (R&D) investment on firms’ stock price from the perspective of investors.

Building on signaling theory, the authors propose that R&D investment sends important signals to the investment community regarding future growth, which in turn impacts investor reaction to such investment.

Using a sample of listed pharmaceutical firms in China from 2007 to 2011, the authors find that R&D investment has a positive effect on firms’ stock price, indicating that investors have a positive reaction to R&D investment signals. Further, the authors find that the signaling role of new product announcements mediates this relationship between R&D investment and investor reaction.

The authors also find that the signaling role of development capacity (DC) has a moderating effect on the relationship between innovation activities (i.e. R&D investment and new product announcements) and investor reaction, such that DC strengthens the positive effect of R&D and new product announcements on investors.

The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.

The authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.

The authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.

In the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.

These results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.

The purpose of this paper is to examine the impact mechanism of organizational culture (OC) on Enterprise Resource Planning (ERP) user’s explicit and tacit knowledge-sharing behavior in the context of enterprise systems usage.

Drawing from social cognitive theory, the authors developed a comprehensive model that integrates OC, computer self-efficacy and employees’ knowledge-sharing behaviors. In total, 343 valid questionnaires were collected from ERP users of 115 firms and structural equation modeling technique was used to test the model.

Empirical results suggest that hierarchical culture that focusses on efficacy and uniformity is positively related with employees’ explicit knowledge sharing; group culture that focusses on trust and belonging is positively related with employees’ tacit knowledge sharing, and their relationship is fully mediated by employees’ computer self-efficacy. In addition, computer self-efficacy also partially mediates the relationship between rational culture and employees’ knowledge sharing.

This study provides guidelines for top managers to enhance employees’ computer self-efficacy and facilitate employees’ knowledge-sharing behavior by developing appropriate type of OC.

This study unpacks the mediating mechanism between OC and knowledge sharing, and contributes to the academic research of knowledge management in the context of enterprise systems assimilation.

After information systems (IS) implementation, many organizations report that system underutilization causes the failure to meet expected IS investment returns. It is imperative to understand the way to leverage employees’ fullest potential in the IS usage. The paper aims to discuss these issues.

Anchoring on absorptive capacity (ACAP) theory, the authors develop an employee innovation model. Using survey data and structural equation modeling, this research investigates how perceived organizational levers affect innovation with IS usage (INVU) by introducing individual ACAP as a mediator.

The authors find general support for the research model through a survey of 205 employees using SAP business intelligence systems in China. The empirical data shows that three interrelated components of individual ACAP significantly contribute to INVU. The findings also suggest that, both fairness of reward and job autonomy are key organizational levers for the utility of individual ACAP. Furthermore, their effects on INVU can be fully mediated by individual ACAP.

The authors empirically unpack and validate individual ACAP in IS innovation situation. The findings provide academics and practitioners with an understanding of how management can inspire employees’ potential in implemented system innovation.

The purpose of this paper is to examine the impact of chief information officer’s (CIO’s) strategic knowledge and structural power on enterprise systems (ES) success in the context of systems usage.

Drawing upon knowledge-based view, this study links CIO’s strategic knowledge, structural power, ES assimilation and firm performance in an integral model. Sample data were collected in China and partial least squares technique was used to test the model.

Empirical results suggest that CIO’s strategic information technology (IT) knowledge, strategic business knowledge and structural power have significant influence on ES assimilation. While ES assimilation mediates the association between CIO’s strategic knowledge, CIO’s structural power and firm performance. Another interesting finding in the study is that the imbalance of CIO’s strategic business knowledge and strategic IT knowledge is negatively associated with ES assimilation.

This study enriches the extant literatures in IS leadership by showing the significant role of CIO’s knowledge balance and authority in promoting the assimilation of ES within the organization. The empirical findings can provide guidelines for the top executive to select a person who is familiar with both strategic business and IT knowledge to take charge of ES, also, to provide the person with appropriate structural power, in order to achieve the benefits of ES successfully.