An Empirical Study of Impact Factors on the Alignment of Cloud Computing and Enterprise

In the era of big data, where cloud computing proves to be an essential technology, its ability to align itself with enterprise is the key to facilitate business process reengineering and innovation and enhance enterprise value. In order to identify the key factors influencing the alignment of cloud...

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Bibliographic Details
Published in2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC) pp. 70 - 74
Main Authors SHAO, Mingxing, LI, Xiangqing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2020
Subjects
Cloud computing
cloud computing alignment
Computational modeling
dynamic capability theory
Dynamic scheduling
Industries
IT flexibility
Mathematical model
organization flexibility
Organizations
Zhongguancun Technology Park
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Summary:In the era of big data, where cloud computing proves to be an essential technology, its ability to align itself with enterprise is the key to facilitate business process reengineering and innovation and enhance enterprise value. In order to identify the key factors influencing the alignment of cloud computing and enterprises in Zhongguancun Technology Park, this paper, based on the dynamic capability theory and taking into account the ever-changing business environment in the Zhongguancun Technology Park, focused on three factors of an enterprise, namely Enterprise Dynamic Capability, Organization Flexibility and IT Flexibility, and built a theoretical model to study how these three factors influence the alignment of cloud computing. The paper measured the impact by two dimensions, Alignment Depth and Alignment Breadth. The results were tested by data collected in questionnaires and the Structural Equation Model (SEM) empirically. The findings showed that enterprise dynamic capability and IT flexibility both have a positive impact on the alignment depth and alignment breadth of cloud computing.
DOI:10.1109/CTISC49998.2020.00018