Suchergebnisse

Although governments are continually investing in e-government construction, differences in e-government performance exist. This study aims to examine how policy attention affects e-government performance through the mediating effect of resource allocation and the moderating effect of public–private collaboration. Analysis of panel data from 333 prefectural governments in China confirms that policy attention can increase e-government performance, but the effect size decreases under the mediating role of financial and human resources. Furthermore, higher public–private collaboration weakens the positive effect of government resources on e-government performance and policy attention on e-government performance. Points for practitioners This article can help practitioners recognize the importance of policy attention in guiding e-government implementation by verifying policy attention–resource allocation–e-government performance association. Moreover, this study also provides some suggestions for practitioners seeking to collaborate with private organizations by confirming the negative role of public–private collaboration between government resources and e-government performance.

AbstractWith the acceleration of urbanization, cascading disaster risks (CDR) as a typical risk mode have become the main threat to cities. After experiencing several cascading disasters, such as typhoon Lekima, how to clarify the basic features of CDR and achieve risk modelling has turned to be increasingly significant for building resilient city. However, the complexity of CDR brings about the difficulty to quickly map such risk mode depending entirely on expertise. Therefore, this paper attempts to provide a CDROntology system built by concepts and relations, and make full use of the historical cases to drive the modelling of the target CDR with case‐based reasoning. Firstly, we describe the basic structure and content of CDR and give a three‐level CDROntology system with the explanation of modelling primitives. Then, taking CDROntology system as the basis, a case‐driven selection process is proposed to provide the modelling source for the target CDR. Furthermore, set covering and manual correction methods are adopted to model the evolutionary risk chain and the specific risk scenario of the target case. Finally, a case study is given to illustrate the use of CDROntology system and case‐driven method for building a predictive risk model in typhoon‐triggered cascading disasters.

To investigate the public service motivation (PSM) of public- and private-sector employees in a Chinese context, comparative studies were conducted with 2 independent samples. In Study 1, confirmatory factor analysis was implemented to assess the level of PSM in 250 public employees.
In Study 2, 247 respondents from private companies were evaluated. Results gained in these studies not only provided evidence supporting the construct validity of this measure of PSM in a Chinese context, but also demonstrated that, comparatively, public-sector employees' levels of PSM were
relatively higher than those of private-sector employees, especially in relation to the attraction to public policymaking and commitment to public interest dimensions of PSM.