This chapter aims to identify critical success factors and examines the best use of Web 2.0 technologies to improve the effectiveness and transparency of electronic government (e-government) provision. To this end, the chapter presents the use of e-Portals for connected government (c-government), e-government, and mobile government. Since the connected government practices rely not only on the technologies used but also on the culture, regime, and structure of the population, a number of other relevant factors are also discussed to further determine the impact of latest technologies on c-government practices. This study has resulted in the identification of six basic critical success factors affecting the success of c-government. At the same time, it is suggested that Web 2.0 technologies may be used to make e-government applications more human-centred, transparent, social, dynamic, and applicable. New concepts such as Industry 4.0 and Society 5.0 are also examined.
The intensely competitive environment which is increasing its effect day by day, technological developments, and rapid changes in customer demands force today's companies to use fewer resources, to produce better quality products in a shorter time at a lower cost, and to provide high service standards. Since to achieve this requires effective use of the workforce, which is the most valuable resource for companies; It is necessary to take various protection measures against occupational accidents and diseases, with the human factor in mind. This research aims to measure the effectiveness of Occupational Health and Safety (OHS) in Turkey using Structural Equation Modeling (SEM), which is a statistical technique. Participants of the questionnaire used in the study include OHS officers, occupational physicians, relevant health personnel, human resources employees, etc. Critical success factors for OHS subjects were determined using the Exploratory Factor Analysis (EFA) and Structural Equation Modeling. The most important goal is to reduce the number of work accidents and occupational diseases in Turkey by comparing the success factors in this study to those in the literature. Keywords: Occupational Health and Care; Statistical Evaluation for OHS; Statistical Analyze for OHS; Structural equation modelling; Critical success factors for OHS
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