Chao-Hsing Lee and Chien-Wen Chen
Though there are still political turbulences, the economic cooperation between mainland China and Taiwan is inseparable. Cooperation between enterprises on both sides has become…
Abstract
Purpose
Though there are still political turbulences, the economic cooperation between mainland China and Taiwan is inseparable. Cooperation between enterprises on both sides has become more frequent. Studying the similarities and differences between employees in Cross-Strait enterprises can contribute to human resource management. This paper aims to study the cultural difference between employees of mainland China and in Taiwan when facing psychological contract violations.
Design/methodology/approach
A total of 811 valid sample questionnaires were taken from Cross-Strait private enterprise employees. This research adopted partial least squares-structural equation model statistical analysis as an empirical research evaluation.
Findings
This study finds that psychological contract violation has a significant positive impact on turnover intention and a significant negative impact on organizational citizenship behavior (OCB) in the Chinese context. There exist cultural differences between the employees of mainland China and Taiwan. When facing psychological contract violation, it is found that employees from Taiwan are more likely to have a strong turnover intention but still keep higher job performance. Employees from mainland China are found to be more likely to have higher OCB.
Originality/value
The originality of this research lies in establishing a stronger theoretical model to understand employee behavior. This paper verifies the validity of this model under the Chinese context. Moreover, this paper verifies the cultural difference between Cross-Strait employees.
Details
Keywords
Defines and investigates fuzzy symmetric functions with don't‐care conditions and most‐unsymmetric functions. Represents and illustrates by examples algorithms for finding the…
Abstract
Defines and investigates fuzzy symmetric functions with don't‐care conditions and most‐unsymmetric functions. Represents and illustrates by examples algorithms for finding the grade of membership function and the number of most unsymmetric functions. Also presents applications to function representation, data reduction and error correction. The results may have useful applications to fuzzy logics, finding most‐unsymmetric images, fuzzy neural networks and related areas.