Comparative Analysis of Low-Code Platforms in Automating Business Processes
DOI:
https://doi.org/10.55662/Keywords:
Workflow automation, ScalabilityAbstract
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.
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
License Terms
Ownership and Licensing:
Authors of research papers submitted to the Asian Journal of Multidisciplinary Research & Review (AJMRR) retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and grant the journal a right of first publication. Simultaneously, authors agree to license their research papers under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.
License Permissions:
Under the CC BY-SA 4.0 License, others are permitted to share and adapt the work, even for commercial purposes, as long as proper attribution is given to the authors and acknowledgment is made of the initial publication in the Asian Journal of Multidisciplinary Research & Review. 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 (e.g., posting it to institutional repositories or publishing it in books), provided they acknowledge the initial publication of the work in the Asian Journal of Multidisciplinary Research & Review.
Online Posting:
Authors are encouraged to share their work online (e.g., in institutional repositories or on personal websites) both prior to and during the submission process to the journal. This practice can lead to productive exchanges and greater citation of published work.
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 Asian Journal of Multidisciplinary Research & Review disclaims any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.
How to Cite
