The impact of employee perceptions of training on organizational commitment and turnover intentions: a study of multinationals in the Chinese service sector

This study examines the impact of employee perceptions of training on organizational commitment, and the latter's relationship with turnover intentions. Structured equation modelling is conducted on survey data from 437 Chinese employees of five multinational enterprises operating in the Chinese service sector. The results of the survey are consistent with social exchange theory. They highlight the importance of training as a tool to enhance the affective organizational commitment of employees, and reduce turnover. The findings differ from that of previous studies in non-Chinese settings. No evidence was found to indicate that motivation to learn and the perceived benefits of training impact on the organizational commitment of employees. This may be explained by three factors: the involuntary nature of employee training, the limited career development opportunities on offer to local employees of multinational enterprises and the difficulty employees face in applying learnt skills given cultural differences. The implications for research and practice are discussed.

Servant leadership, trust, and the organizational commitment of public sector employees in China

© 2014 John Wiley & Sons Ltd. So-called servant leaders strive selflessly and altruistically to assist others before themselves, work to develop their followers' greatest potential, and seek to benefit the wider community. This article examines the trust-based mechanisms by which servant leadership influences organizational commitment in the Chinese public sector, using data from a survey of civil servants. Quantitative analysis shows that servant leadership strongly influences affective and normative commitment, while having no impact on continuance commitment. Furthermore, we find that affective trust rather than cognitive trust is the mechanism by which servant leadership induces higher levels of commitment. Our findings suggest that in a time of decreasing confidence levels in public leaders, servant leadership behaviour may be used to re-establish trust and create legitimacy for the Chinese civil service.

A model driven approach to care planning systems for consumer engagement in chronic disease management

This work demonstrates a model-driven approach to the development of care plan systems, amenable to: (a) a flexible and extensible definition of care plan scope; and (b) deployment of care plan viewing and tracking functionality to a wide range of physical computing devices. The approach utilises a care plan domain model from which guideline implementers formulate care plan templates aligning to specific clinical guidelines. A clinical end user would subsequently constrain that template (e.g., selecting a subset of available activities and specific targets) to create a care plan instance for an individual patient. An XML care plan visualisation definition created using the Marama tool is transformed to OpenLaszlo script from which Shockwave Flash objects can be compiled, creating Flash applications that run on a variety of hardware for both clinical and patient users. The approach is illustrated with respect to an overweight and obesity guideline.

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: a comparative study

The uncertainties of renewable energy have brought great challenges to power system commitment, dispatches and reserve requirement. This paper presents a comparative study on integration of renewable generation uncertainties into SCUC (stochastic security-constrained unit commitment) considering reserve and risk. Renewable forecast uncertainties are captured by a list of PIs (prediction intervals). A new scenario generation method is proposed to generate scenarios from these PIs. Different system uncertainties are considered as scenarios in the stochastic SCUC problem formulation. Two comparative simulations with single (E1: wind only) and multiple sources of uncertainty (E2: load, wind, solar and generation outages) are investigated. Five deterministic and four stochastic case studies are performed. Different generation costs, reserve strategies and associated risks are compared under various scenarios. Demonstrated results indicate the overall costs of E2 is lower than E1 due to penetration of solar power and the associated risk in deterministic cases of E2 is higher than E1. It implies the superimposed effect of uncertainties during uncertainty integration. The results also demonstrate that power systems run a higher level of risk during peak load hours, and that stochastic models are more robust than deterministic ones.