Comparative Analysis of Low-Code Platforms in Automating Business Processes

Metrics Not Available becuase DOI is Not Assigned [Get DOI]

Publication Information

Journal Title: Asian Journal of Multidisciplinary Research & Review
Author(s): Lisa Antwiadjei & Zilly Huma
Published On: 29/10/2022
Volume: 3
Issue: 5
First Page: 132
Last Page: 139
ISSN: 2582-8088
Publisher: The Law Brigade Publisher

Cite this Article

Lisa Antwiadjei & Zilly Huma, Comparative Analysis of Low-Code Platforms in Automating Business Processes, Volume 3 Issue 5, Asian Journal of Multidisciplinary Research & Review, 132-139, Published on 29/10/2022, Available at https://ajmrr.thelawbrigade.com/article/comparative-analysis-of-low-code-platforms-in-automating-business-processes/

Abstract

In the ever-evolving landscape of digital transformation, organizations are increasingly turning to low-code platforms as a solution to streamline and automate their business processes. This study conducts a comprehensive comparative analysis of various low-code platforms, examining their features, functionalities, and performance in the context of automating diverse business processes. The goal is to provide insights that can assist businesses in making informed decisions when selecting a low-code platform tailored to their specific needs. Additionally, the study explores emerging trends and innovations within the low-code landscape, anticipating the future trajectory of these platforms in the realm of business process automation.

Keywords: Low-code platforms, Business process automation, Digital transformation, Comparative analysis, Workflow automation, Scalability, Customization capabilities

Share this research

Latest Publications

AJMRR

License Information

Copyright ยฉ 2024

Lisa Antwiadjei & Zilly Huma

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Ownership and Licensing:

Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.

License Permissions:

Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.

Additional Distribution Arrangements:

Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal’s published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.

Online Posting:

Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.

Responsibility and Liability:

Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.

Scroll to Top