Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Scalable Artificial Intelligence Enhanced Stakeholder Engagement Platforms for Multi Layered Digital Ecosystems and Future Enterprises

Authors
Srinivas Rao Challa1, J. Veni2, *, J. Deepika3, Gaurav Gautam4, 5, S. R. Arun Raj6, K. S. Vigneshwaran7
1Sr. Manager, Charles Schwab, Austin, TX, USA
2Assistant Professor, Department of MBA, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
3Assistant Professor, Department of IT, Sona College of Technology, Salem, 636005, Tamil Nadu, India
4Assistant Professor, Department of Physics, Graphic Era Hill University, Dehradun, India
5Adjunct Professor, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India
6Assistant Professor, Department of Electronics & Communication Engineering, University BDT College of Engineering, Davanagere, 577004, Karnataka, India
7Assistant Professor, Department of Mechanical Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: venij@jjcet.ac.in
Corresponding Author
J. Veni
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_84How to use a DOI?
Keywords
Artificial Intelligence; Stakeholder Engagement; Multi-Layered Digital Ecosystems; Scalable AI
Abstract

As digital ecosystems rapidly expand, so too do the need for scalable and intelligent stakeholder engagement solutions. First, although current literature discusses artificial intelligence (AI) in engagement strategies, it does not provide a multi-layered strategy, empirical validation, or industry-specific implementation. A Scalable AI-Driven and Empowering Stakeholder Engagement Platform for Multi-Layer Pre-reading: A Scalable AI-Driven and Empowering Stakeholder Engagement Platform for Multi-Layer Pre-14 Read Next 15. This framework integrates AI automation, real-time analytics, and ethical AI principles to provide efficient, unbiased, and transparent stakeholder interactions. This research takes AI-driven engagement beyond politics and the media to the corporate, healthcare, finance and smart city domains. It also tackles scalability, computing efficiency, and ethical AI governance so that the platform can stay trustworthy, adaptable, and sustainable. The framework showcases improved stakeholder communication, decision-making efficacy, and optimized engagement strategies are validated through empirical and real-world application emerged as a central strength of the framework proposed in this study. This study aims to connect the theoretical AI engagement frameworks with practical implementation among various sectors.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_84How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Srinivas Rao Challa
AU  - J. Veni
AU  - J. Deepika
AU  - Gaurav Gautam
AU  - S. R. Arun Raj
AU  - K. S. Vigneshwaran
PY  - 2025
DA  - 2025/05/23
TI  - Scalable Artificial Intelligence Enhanced Stakeholder Engagement Platforms for Multi Layered Digital Ecosystems and Future Enterprises
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 993
EP  - 1003
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_84
DO  - 10.2991/978-94-6463-718-2_84
ID  - Challa2025
ER  -