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PurposeThis study proposes that the three core underpinnings of dynamic managerial capabilities (DMCs) – managerial cognition, managerial human capital and managerial social capital – represent individual-level micro-foundations that influence corporate social responsibility (CSR). It further explores the interaction mechanism between the three underpinnings in influencing CSR, and their influence depends on the technological turbulence caused by big-data-related technologies.Design/methodology/approachThis study uses a quantitative research method and partial least squares structural equation modelling (PLS-SEM) to test the relationship between latent factors based on a sample of 270 Chinese top managers.FindingsThe three core underpinnings of DMCs are positively related to CSR. Managerial human capital and managerial social capital mediate the relationship between managerial cognition and CSR. Technological turbulence's moderating effects are also tested. Specifically, technological turbulence amplifies the positive relationship between managerial cognition, managerial human capital and CSR but negatively moderates the relationship between managerial social capital and CSR.Originality/valueWhy are some firms more willing to participate in CSR than others mainly depend on the fact that the actual participants of CSR are the top managers who formulate strategies and implement CSR plans. This study, grounded in the DMCs framework and the upper echelons perspective, is arguably the first to link DMCs' three core underpinnings and CSR, and further explore the multiple drivers' mechanisms and boundary conditions. This study contributes to individual micro-foundation of CSR literature, and advances the understanding of whether and how top managers influence CSR engagement.

This paper models the game process of the value cocreation of enterprises based on evolutionary game theory (EGT). The factors influencing value cocreation are found through mathematical analysis. Taking iFLYTEK as an example, a representative enterprise of artificial intelligence (AI) in China, six factors affecting value cocreation are verified, which are the excess return rate, the distribution coefficient of the excess return rate, coordination costs in the system, the cost-sharing coefficient, imitation costs, and penalties. These six factors have a profound impact on value cocreation in the ecosystem. Through the case study of iFLYTEK, it is concluded that innovation ecosystems can enable small- and medium-sized AI enterprises to grow. In order to build a sound ecosystem, we need to establish a mechanism to select partners, reduce the costs of cooperation, and strengthen the protection of intellectual property. At the beginning of the cooperation, it is necessary to establish a mechanism with clear responsibilities, rights, and interests. The conclusion is of great significance to the development of AI enterprises.

Distraction tasks are known to affect the unconscious‐thought (UT) effect. However, the relationship between two task types, namely distraction and target tasks, and their effect on UT effect have not been examined in previous studies. In this study, we assessed whether simultaneously performing dissimilar distraction and target tasks are beneficial to information processing by UT. In Experiment 1, the target task was an Alternate Use Task (speech task). For the similar‐task test, the UT group was assigned the speech 1‐back task (speech task) as the distraction task; for the dissimilar‐task test, the UT group was assigned the spatial 1‐back task (spatial task) as the distraction task. The results of the experiment revealed that under dissimilar tasks, the UT group not only provided more answers but also provided answers that were more novel. For Experiment 2, the target task was changed to Creative Mental Synthesis Task (spatial task) to replicate the results of Experiment 1. The results demonstrated that the dissimilarity between the distraction and target tasks facilitates the UT.

Tasks and activities undertaken by translators are constantly enriched and changed due to the emergence and development of language service industries, and on the other hand, the development of these industries closely relies on the technical improvement and qualified personnel. However, as an essential supplier, the universities find it hard to cater to the industrial trend and are in urgent need to reconsider the development mode of cultivating the translation talents. The language services, with a continually development and constantly growing standardization, plays a central role to provide first-hand information and reference for universities to take more effective and qualified talents development mode, and brings the collaborative cultivation into full play. Based on analysis of current status of the industry and the translation teaching status, the study is designed to explore a feasible and applicable translation talents teaching mode, from aspects of building the cooperative mechanism between industry and university, improving the curriculum system, implementing project-based teaching mode, and reconstructing the assessment system, respectively.