期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
A coevolutionary framework of business-IT alignment via the lens of enterprise architecture 被引量:2
1
作者 LIN Menglong YI Shuanghui +3 位作者 ZHANG Mengmeng CHEN Tao CHEN Honghui ZHANG Xiaoxue 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第5期983-995,共13页
Due to the turbulent external business environment, the complexity of internal relations of the organization and the emergence of subversive IT roles, the business-IT alignment(BITA)has become increasingly difficult. ... Due to the turbulent external business environment, the complexity of internal relations of the organization and the emergence of subversive IT roles, the business-IT alignment(BITA)has become increasingly difficult. The unsuccessful realization of BITA will lead to the waste of organizational resources, the reduction of return on investment and eventually the loss of competitive advantage. In recent years, coevolution has received widespread attention due to its ability to describe the dynamic relationship between IT and business. Multiple principles such as quickening learning action loops and adopt suitable organizing principles for achieving business and IT coevolution(BITC) are obtained. However, the continuous BITC is still hard to be achieved because of the lack of complete BITC management. This paper focuses on the management process of the BITC and how to perform it gradually. A coevolution framework combines the enterprise architecture(EA) approach with the coevolution analysis is proposed, which contains the design of EA, the sensing and governance of the misalignment and the procedure of the EA misalignment prevention.The steps for the governance and prevention of misalignment are discussed in particular. Through comparison with the principles,characteristics and methods of coevolution in the literature, the proposed framework is evaluated. The results show that the proposed framework is effective for BITC implementation. 展开更多
关键词 business-IT alignment(BITA) coevolution misalignment governance misalignment prevention enterprise architecture
在线阅读 下载PDF
Multi-species particle swarms optimization based on orthogonal learning and its application for optimal design of a butterfly-shaped patch antenna
2
作者 孙丽玲 胡静涛 +2 位作者 胡琨元 何茂伟 陈瀚宁 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第8期2048-2062,共15页
A new multi-species particle swarm optimization with a two-level hierarchical topology and the orthogonal learning strategy(OMSPSO) is proposed, which enhances the global search ability of particles and increases thei... A new multi-species particle swarm optimization with a two-level hierarchical topology and the orthogonal learning strategy(OMSPSO) is proposed, which enhances the global search ability of particles and increases their convergence rates. The numerical results on 10 benchmark functions demonstrated the effectiveness of our proposed algorithm. Then, the proposed algorithm is presented to design a butterfly-shaped microstrip patch antenna. Combined with the HFSS solver, a butterfly-shaped patch antenna with a bandwidth of about 40.1% is designed by using the proposed OMSPSO. The return loss of the butterfly-shaped antenna is greater than 10 d B between 4.15 and 6.36 GHz. The antenna can serve simultaneously for the high-speed wireless computer networks(5.15–5.35 GHz) and the RFID systems(5.8 GHz). 展开更多
关键词 particle swarm optimization(PSO) multi-species coevolution orthogonal experimental design butterfly-shaped patch antenna
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部