Search results
1 – 3 of 3Wei Yan, Huan Chen, Yan He and Cuilian Zhang
This study aims to understand how abusive supervision influences employees’ unethical pro-organizational behavior (UPB). In particular, the mediating effect of moral disengagement…
Abstract
Purpose
This study aims to understand how abusive supervision influences employees’ unethical pro-organizational behavior (UPB). In particular, the mediating effect of moral disengagement and moderating role of traditionality on this relationship were examined.
Design/methodology/approach
This study conducted a two-wave questionnaire survey using data collected from 629 employees from different companies in China. Moderated mediation analysis was conducted to test the hypotheses.
Findings
The results show that moral disengagement mediates the relationship between abusive supervision and employees’ UPB. Employee traditionality enhances the relationship between abusive supervision and moral disengagement as well as the indirect effect of abusive supervision on employees’ UPB via moral disengagement.
Originality/value
First, by exploring the positive impact of abusive supervision on UPB, the authors enhance the current understanding of the role of negative leadership in the development of UPB and enrich the research on the antecedents of UPB and outcomes of abusive supervision. Second, based on social cognitive theory, this study enriches the literature on abusive supervision and employee UPB by identifying moral disengagement as a mediator. Third, to the best of the authors’ knowledge, the authors are among the first to incorporate traditionality to tell a Chinese story about how traditional employees respond to the effects of abusive supervision on UPB, providing a new lens for the cultural boundary condition in the occurrence mechanism of UPB.
Details
Keywords
Yanju Zhou, Cuilian Lu and Yi Yu
With the development of e-commerce, loyalty programmes (LPs) are gradually being adopted in the online retailing environment to improve consumer loyalty. This article determines…
Abstract
Purpose
With the development of e-commerce, loyalty programmes (LPs) are gradually being adopted in the online retailing environment to improve consumer loyalty. This article determines the factors that affect consumers' LP participation intention on mobile e-commerce platforms to help these platforms improve their performance.
Design/methodology/approach
This article focusses on LP reward types and divides them into self-oriented rewards or altruistic rewards. Two experiments are conducted to test the proposed hypotheses. After online data collection, data analysis is performed.
Findings
LP participation intention with altruistic rewards is significantly stronger than that with self-oriented rewards. Perceived value plays a complete mediating role in the impact of reward type on participation intention, while a point leaderboard plays a positive moderating role in the impact of reward type on perceived value.
Practical implications
This study’s findings can improve the design of LPs by mobile e-commerce platforms.
Originality/value
This article focusses on LPs in the online environment, a stream of research that is limited. The results also have implications for prosocial relationship marketing programmes.
Details
Keywords
Xuhui Ye, Gongping Wu, Fei Fan, XiangYang Peng and Ke Wang
An accurate detection of overhead ground wire under open surroundings with varying illumination is the premise of reliable line grasping with the off-line arm when the inspection…
Abstract
Purpose
An accurate detection of overhead ground wire under open surroundings with varying illumination is the premise of reliable line grasping with the off-line arm when the inspection robot cross obstacle automatically. This paper aims to propose an improved approach which is called adaptive homomorphic filter and supervised learning (AHSL) for overhead ground wire detection.
Design/methodology/approach
First, to decrease the influence of the varying illumination caused by the open work environment of the inspection robot, the adaptive homomorphic filter is introduced to compensation the changing illumination. Second, to represent ground wire more effectively and to extract more powerful and discriminative information for building a binary classifier, the global and local features fusion method followed by supervised learning method support vector machine is proposed.
Findings
Experiment results on two self-built testing data sets A and B which contain relative older ground wires and relative newer ground wire and on the field ground wires show that the use of the adaptive homomorphic filter and global and local feature fusion method can improve the detection accuracy of the ground wire effectively. The result of the proposed method lays a solid foundation for inspection robot grasping the ground wire by visual servo.
Originality/value
This method AHSL has achieved 80.8 per cent detection accuracy on data set A which contains relative older ground wires and 85.3 per cent detection accuracy on data set B which contains relative newer ground wires, and the field experiment shows that the robot can detect the ground wire accurately. The performance achieved by proposed method is the state of the art under open environment with varying illumination.
Details