scholarly journals Knowledge-based life event model for e-government service integration with illustrative examples

2014 ◽  
Vol 8 (3) ◽  
pp. 189-205
Author(s):  
Abdullah Alqahtani ◽  
Haiyan Lu ◽  
Jie Lu
1980 ◽  
Vol 136 (5) ◽  
pp. 486-491 ◽  
Author(s):  
J. G. Greene ◽  
D. J. Cooke

SummaryPsychological and somatic symptoms presented by women in middle life are frequently attributed to the menopause. Many writers have questioned this assumption and have placed more emphasis on environmental and personality factors. Using a life event model and a multivariate analysis technique, life stress was shown to have a significantly more powerful influence on the elevation of symptoms in a normal population of women at that age than did the menopause. Furthermore, the elevation in symptoms occurred some considerable time before that event. The finding that there was no significant increase in total life stress at that time of life suggests the presence of a vulnerability or moderating factor.


Author(s):  
Borja Ramis ◽  
Luis Gonzalez ◽  
Sergii Iarovyi ◽  
Andrei Lobov ◽  
Jose L. Martinez Lastra ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 176-197
Author(s):  
Mihály Csótó

The aim of the paper is to raise some issues in relation to the technology adoption-based e-government acceptance models and that the knowledge gap theory can  be applied to the use of online public administration services: higher status equals not only wider and more sophisticated usage of ICT tools, but also more  knowledge about public administration procedures themselves, which can result in various channel-preferences and routines among the users of different public services. Using data from the multivariable Good State Public Administration  Opinion Survey, the paper shows that the knowledge gap clearly exists in terms of  public administration-related knowledge. Based on this finding, the paper  recommends that the currently marginally used ‘necessary knowledge about  public administration procedures’ factor should be more widely incorporated in e- government adoption models, as it can have a significant effect on adoption, or alter the effect of other constructs in these models. 


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