The cloud technology has become the hot topics of the information technology industry in these recent years, and it is one of the focal point intellectual industry in our government. However, most of enterprises still have some concerns for cloud technology. The information security of the cloud technology, the profitability and the cost saving for the enterprise and the others are the major concerned factors for the enterprises The aim of this study is to comprehend the market of cloud technology does really understand what the enterprise¡¦s intention for using cloud technology, does really understand what the key-points are the enterprises¡¦ intentions about adopting the cloud technology. And the risks influence that enterprise is facing when using the cloud technology. The third one is that using the subjective product knowledge measure how much the enterprises understanding of cloud technology. This study used questionnaire type, and there are the measurable samples of 228 in this study. Using SPSS and partial least squares method (the partial least squares, PLS) analyze the descriptive and path analysis. The results of the research are, the subjective product knowledge positively affects the risks of the enterprises using cloud technology. Most of the risk factors, such as the financial risk, safety risk, technology risk and human risk, negative affect the intension for enterprises using the cloud technology. And the subjective product knowledge positively affects the enterprises adopting cloud technology. According to the research findings, this study provides useful insight for the further development of the cloud technology.

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This research project aims to develop a framework to manage uncertainty in cloud manufacturing for small and medium enterprises (SMEs). The framework includes a cloud manufacturing taxonomy; guidance to deal with uncertainty in cloud manufacturing, by providing a process to identify uncertainties; a detailed step-by-step approach to managing the uncertainties; a list of uncertainties; and response strategies to security and privacy uncertainties in cloud manufacturing. Additionally, an online assessment tool has been developed to implement the uncertainty management framework into a real life context. To fulfil the aim and objectives of the research, a comprehensive literature review was performed in order to understand the research aspects. Next, an uncertainty management technique was applied to identify, assess, and control uncertainties in cloud manufacturing. Two well-known approaches were used in the evaluation of the uncertainties in this research: Simple Multi-Attribute Rating Technique (SMART) to prioritise uncertainties; and a fuzzy rule-based system to quantify security and privacy uncertainties. Finally, the framework was embedded into an online assessment tool and validated through expert opinion and case studies. Results from this research are useful for both academia and industry in understanding aspects of cloud manufacturing. The main contribution is a framework that offers new insights for decisions makers on how to deal with uncertainty at adoption and implementation stages of cloud manufacturing. The research also introduced a novel cloud manufacturing taxonomy, a list of uncertainty factors, an assessment process to prioritise uncertainties and quantify security and privacy related uncertainties, and a knowledge base for providing recommendations and solutions.

Cílem této diplomové práce je vytvoření Business Intelligence řešení pro společnost 1188. Na základě výsledného Business Intelligence řešení bude umožněno managementu společnosti vykonávat přesnější rozhodnutí, která se budou shodovat se strategií společnosti.