Influencing Factors of Online Consumer Preferences based on Flow Theory
This study firstly discusses the factors including trust,risk,condition,and consumer characteristics,which influence consumers flow experience.Then it examines the impact of influencing factors of consumer flow experience on online consumer preference with the data from university students through questionnaire by use of structural equation modeling.The findings from this study show that trust and risk have more impact on preference of online shopping.The results also indicate that condition and trust exert a stronger influence on preference of information acquisition,while trust does not affect it significantly.The results find that consumer characteristics and condition exhibit greater impact on preference of online communication,preference of leisure entertainment.The results of this study provide important implications for research and practice in the end.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.