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Effect of cloud-based information systems on the agile development of industrial business process management

Published online by Cambridge University Press:  24 June 2022

Jian Wang Open the ORCID record for Jian Wang [Opens in a new window] ,
Yi-Peng Xu  and
Chen She
Jian Wang*
Affiliation:
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Engineering, Shanwei Institute of Technology, Shanwei 516600, Guangdong, China
Yi-Peng Xu*
Affiliation:
School of Mathematical Sciences, Tiangong University, Tianjin 300387, China
Chen She
Affiliation:
School of Economics and Management, Tiangong University, Tianjin 300387, China
*
*Corresponding author. E-mail: wj@casisd.cn; Yi-Peng.Xu@outlook.com
*Corresponding author. E-mail: wj@casisd.cn; Yi-Peng.Xu@outlook.com
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Abstract

Business process management (BPM) has been the main driver behind company optimization and operational efficiency. However, the digitization era we live in necessitates that organizations be agile and adaptable. Delivering unprecedented rates of automation-fueled agility is necessary to be a part of this digital revolution. On the other hand, BPM automation cannot be done only by concentrating on procedure space and traditional planning methodologies. With the introduction of BPM, where the deployment of BPM with cloud computing has undergone enormous development lately, cloud computing has been considered a particularly active topic of study. Cloud computing points to the provision of dependable computing environments based on improved infrastructure availability and service quality without imposing a significant cost load. This research aims to discover the relationship between technical factors, financial factors, environmental factors, security of the cloud-based information systems, and the agile development of industrial BPM (IBPM). The present study aims to fill this gap and show how partial least squares structural equation modeling (SEM) can be employed in this field. Importance–performance map analysis (IPMA) evaluated the importance and performance of factors in the SEM. IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables. The empirical findings showed that four key factors (technical, financial, environmental, and security) positively influence the agile development of IBPM.

Keywords

Agile developmentcloudindustrial business process managementsecurity factortechnical factor
Type
Research Article
Information
Journal of Management & Organization , Volume 29 , Issue 4: The Role of New ICT-based Systems in Modern Management , July 2023 , pp. 614 - 631
Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with the Australian and New Zealand Academy of Management

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Footnotes

†

These authors contributed equally to this paper.

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