E3S Web Conf.
Volume 235, 20212020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|Number of page(s)||6|
|Section||Industrial Technology Development and Industrial Structure Adjustment and Upgrading|
|Published online||03 February 2021|
A Study of the Impact of Cloud Computing Alignment on the Enterprise Technological Capability Based on Environmental Turbulence
International Business School, Beijing Foreign Studies University, Beijing, China
One of the most current concerns in the field of information system is whether cloud computing technology can deliver the desired improvement of capability and value to enterprises. This paper studied the enterprise technology development capability of the enterprises in Beijing Zhongguancun Technology Park, the first national high-tech industrial development zone in China, from the perspective of the breadth and depth of the alignment of cloud computing and enterprise. It proposed a theoretical model to study how the breadth and depth of alignment affects the enterprise technology development capability in a turbulent environment and considers the intermediary role of the enterprise technology absorption capability and the moderation role of environmental turbulence in it. The model was tested empirically by questionnaires and structural equation model (SEM). Empirical results showed that both the deep and wide alignment of cloud computing can enhance the enterprise technology development capability by improving the enterprise technology absorption capability.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.