There is growing evidence to suggest that employees’ perceptions of their employer’s corporate social responsibility (CSR) positively influences their attitude and behavior. An increasing number of scholars have called for further explorations of the microfoundations of CSR. To that end, this study takes the conservation of resources perspective to examine relationships and the perception of CSR by employees, considering areas such as thriving at work, task significance, and employees taking charge. By analyzing 444 questionnaires completed by employees in China and using the conditional process analysis to test a hypothesis, results showed that the association between employees’ CSR perception and taking charge is significantly and positively correlated, with thriving at work mediating the connection. We also found that task significance negatively moderates the mediating effect between CSR and taking charge, such that the lower the level of task significance of a job, the more positive the effect of CSR on taking charge via thriving at work. These findings have theoretical implications for micro-level CSR research and managerial implications for entrepreneurs.
This article introduces a corpus-based critical discourse analysis to explore how this linguistically oriented approach can be a helpful complement to the journalism studies of national image and beyond. It demonstrates how to use this approach to examine how China’s image is represented in three US mainstream newspapers published between 2008 and 2010. It is achieved by drawing on a linguistic framework of transitivity and taking statistical measures of collocation to exhaustively identify the recurrent transitive patterns of ‘who does what to China’ in a self-built corpus and then making an in-depth analysis of the extended concordance lines accordingly. Findings show that China’s image is represented as being related to seven participant roles: the Persuaded, the Criticized, the Labeled, the Contained, the Punished, the Helped, and the Praised, which reinforce each other to make certain themes such as economy and trade more salient and represent China in a very negative light.
Lexical ambiguity is present in many natural languages, but ambiguous words and phrases do not seem to be advantageous. Therefore, the presence of ambiguous words in natural language warrants explanation. We justify the existence of ambiguity from the perspective of context dependence. The main contribution of the paper is that we constructed a context learning process such that each interlocutor can infer their opponent’s private belief from the conversation. A sufficient condition for successful learning is provided. Furthermore, for cases in which learning fails, we investigate how the interlocutors choose among degrees of ambiguous expressions through an adaptive learning process. Lastly, we apply our model in the lattice network, demonstrating that structural evolution favours ambiguity as well.
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