Exploring managers' intention to use business intelligence: the role of motivations

In recent years, the amount of information has been growing quickly within organisations. Thus, several organisations have implemented analytics and business intelligence (BI) for Big Data solutions. To effectively foster the acceptance and usage of BI, this study examines how the motivational factors of both expectancy theory and social exchange theory (SET) affect managers' willingness to utilise BI. A survey of 271 managers supports the proposed model. The results show that intangible rewards of expectancy theory significantly influence the intention to read information (IRI) through the desire to make good decisions. Benefit factors (organisational rewards, reputation, and reciprocity) of SET are significantly associated with the desire to exchange reports (DER). The IRI significantly directly and indirectly influences the intention to create reports through the DER. Given the empirical findings, this study provides theoretical and managerial insights for organisations.     

多级缓冲技术在提高电力GIS性能中的应用

通过构建多级缓冲技术,即充分结合DBMS、ARCSDE、BDB、内存Cache及多线程应用等多种技术来提高电力GIS的性能,并通过降低系统网络数据流量及对服务器端的依赖,用更高性能的BDB查询方式降低客户端的计算量,提高了查询显示速度,从而有效地提高了电力GIS系统的性能.