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The purpose of this paper is to find the influence of employees’ work values on their creative performance and test the role of knowledge sharing among them.

This work surveyed 387 employees in six companies across three cities to test the research hypothesis model.

The findings reveal that comfort and security (comfort) work values have a significant negative impact on the creative performance, whereas competence and growth (competence) work values and status and independence (status) work values have a significant positive impact on creative performance. Knowledge sharing plays a mediating role between work values and creative performance.

This study reveals the influence mechanism of work values on creative performance from a new perspective and confirms the differing effects of different types of work values on creative performance.

Studies on China suggest that institutional environment plays a significant role in business activities; however, the issue of how firms attend to institutional environment is largely under-explored. This paper responds to the oversight by examining the potential ways in which firms can demonstrate heterogeneity in terms of vigilance to government policy. Drawing from the attention-based view of firms and the institutional logic perspective, the authors aim to propose that firms with market logic or non-market logic will show difference in vulnerability to policy change. Further, firm ownership type and policy-leveraging capability would moderate the relationship between institutional logic and attention to policy environment.

The empirical background of this study is based on Chinese pharmaceutical firms. The new reform on health-care system launched by Chinese government in 2009 provides a fertile context to observe firms’ attention to government policy. The hypotheses are tested by using data of 145 Chinese pharmaceutical public firms from 2009 to 2013.

The results generally support the hypotheses: market logic has a positive effect on attention to policy, whereas non-market logic has a negative effect. The impact of market logic is weakened when firms have a higher policy-leveraging capability (in terms of getting government subsidies); the non-market logic effect is strengthened both when firms are state-owned enterprises and have a higher policy-leveraging capability.

Instead of focusing on how institutional environment have an influence on firm behavior as previous studies do, this paper examines the interaction between institution and firms by exploring how firms pay attention to government policy. Under the context of China, this study sheds light on how institutional logic plays a role in determining cognitive resource allocation of firms.

This paper investigates the relationship between plot size and fertilizer use efficiency (FE) in Chinese large-scale farming and searches for the underlying mechanisms that explain this relationship.

Based on a household- and plot-level data set of large-scale production units (LSPUs) from Jiangsu and Jiangxi Provinces, the technical and fertilizer use efficiency of large-scale rice production is estimated by applying a translog stochastic frontier production function. The authors impose a monotonicity condition on the translog frontier using a three-step procedure to get theoretically consistent efficiency estimates. A beta regression model is then used to explore the association between plot size and LSPUs' efficiency in fertilizer application.

The average FE for the sampled plots is around 30%, which shows a large potential for LSPUs to reduce fertilizer use. A U-shaped relationship is observed between plot size and FE. The authors relate this non-linear pattern to the substitution of labour with capital-intensive technology and the efficiency differences in terms of farming performance between family and hired workers.

First, according to the authors’ knowledge, this paper is a first attempt to study the size–efficiency relationship focussing on fertilization practices of large-scale farming. The second contribution lies in the large-scale ranges of the plot-level data set. Third, efforts are made to reveal the mechanisms determining the plot size–FE relationship. Fourth, the authors provide guiding evidence for policymaking, as they show that the size of individual plots deserves equal attention in land consolidation decisions. Methodologically, this paper improves existing estimates of single-factor technical efficiency issued from a restricted production frontier model.