PurposeThis study aims to examine the moderating effects of psychological entitlement and perceived organizational support (POS) on the relationship between work connectivity behavior after-hours (WCBA) and job satisfaction.Design/methodology/approachData were collected from 217 full-time employees of an Internet company in China at two points in time separated by about one month. Hierarchical regression and simple slope analyses were conducted to test hypotheses.FindingsThe results showed that WCBA was negatively related to job satisfaction and that this relationship could be mitigated by POS. Moreover, psychological entitlement aggravated this relationship, and this aggravating effect was stronger when POS was at low levels.Practical implicationsManagers should avoid intervening employees' nonwork domains too much. If this is unavoidable, managers should provide adequate organizational support to help employees cope with the challenges brought by WCBA. Besides, managers need to pay close attention to highly entitled employees and take measures to modify their expectations.Originality/valueFirst, this study enriches the understanding of what WCBA is and how WCBA works by investigating the influencing mechanism of WCBA from the perspectives of effort–reward imbalance and job demands–resources. Second, by verifying the moderating effects of psychological entitlement and POS, this study provides insights into the boundaries of the WCBA–job satisfaction relationship. Third, this study contributes to the literature on psychological entitlement by identifying its one applicable condition.
Facing the pressure of low-cost competition brought by the homogenization of commodities, the manufacturing industry seeks to survive by providing services. By providing outsourcing of value-added services to date, we are focusing on innovation in our business model. With the advancement of science and technology, manufacturing innovation is facing higher challenges, especially the popularization of the Internet, which makes the manufacturing industry have to move closer to new industries. Based on cloud computing, this paper conducts a multiagent simulation on the evolution factors of the innovation network of advanced manufacturing. This article takes three types of simulation subjects: evolutionary network, manufacturing (cluster), and innovation evolution system as the research objects. The factors affecting the evolution of the research are innovation resources, innovation opportunities, innovation desire, innovation pressure, relationship strength, network scale, and network scope. Network differences carry over variable indicators and analyze quantitative regression indicators and then build a research model. The research results show that the average conversion efficiency of the manufacturing industry (0.523) is significantly lower than the average R&D innovation efficiency (0.725), which to a certain extent indicates that the manufacturing industry still has weak links in the export conversion stage at the back end of the innovation value chain. Some of the companies may have problems such as low ability to transform scientific and technological achievements and insufficient export competitiveness of high-tech products, which to a large extent affects and restricts the improvement of manufacturing export transformation efficiency.
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