Leveraging Digital Platforms for Co-creation in Product Innovation
DOI:
https://doi.org/10.56472/ICCSAIML25-156Keywords:
Co-creation, Digital Platforms, Product Innovation, Open Innovation, Crowdsourcing, Customer Engagement, Collaborative Tools, Innovation Management, User-Generated Content, Digital TransformationAbstract
In the digital age, traditional models of product innovation are being transformed by the collaborative potential of digital platforms. This paper explores the concept of co-creation, where businesses and external stakeholders collaboratively develop products, leveraging digital platforms as facilitators. By examining various types of platforms such as open innovation hubs, crowdsourcing sites, and social media channels the study highlights how these tools enable idea generation, feedback collection, and iterative development processes. Through case studies and empirical analysis, the paper demonstrates the positive impact of co-creation on product innovation, including enhanced creativity, faster development cycles, and increased customer satisfaction. The findings underscore the strategic importance of integrating co-creation into business models and provide insights into managing digital co-creation initiatives effectively
Downloads
References
[1] Abbate, T., Codini, A.P., & Aquilani, B. (2019). Knowledge co-creation in Open Innovation Digital Platforms: processes, tools and services. Journal of Business & Industrial Marketing, 34(7), 1434-1447.
[2] Kirti Vasdev. (2019). “AI and Machine Learning in GIS for Predictive Spatial Analytics”. International Journal on Science and Technology, 10(1), 1–8. https://doi.org/10.5281/zenodo.14288363
[3] Animesh Kumar, “AI-Driven Innovations in Modern Cloud Computing”, Computer Science and Engineering, 14(6), 129-134, 2024.
[4] L. N. R. Mudunuri, V. M. Aragani, and P. K. Maroju, "Enhancing Cybersecurity in Banking: Best Practices and Solutions for Securing the Digital Supply Chain," Journal of Computational Analysis and Applications, vol. 33, no. 8, pp. 929-936, Sep. 2024.
[5] Mount, M., & Martinez, E. (2017). Leveraging Social Media for New Product Development: A Review. ResearchGate.
[6] B. C. C. Marella and D. Kodi, “Generative AI for fraud prevention: A new frontier in productivity and green innovation,” In Advances in Environmental Engineering and Green Technologies, IGI Global, 2025, pp. 185–200
[7] Hossain, M., Leminen, S., & Westerlund, M. (2019). Living Labs for user-driven open innovation. Journal of Cleaner Production.
[8] D. Kodi and S. Chundru, “Unlocking new possibilities: How advanced API integration enhances green innovation and equity,” In Advances in Environmental Engineering and Green Technologies, IGI Global, 2025, pp. 437–460
[9] Coakes, E., & Smith, P. (2007). Communities of Innovation. International Journal of Innovation Science, 11, 402-418.
[10] L. N. Raju Mudunuri, P. K. Maroju and V. M. Aragani, "Leveraging NLP-Driven Sentiment Analysis for Enhancing Decision-Making in Supply Chain Management," 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2025, pp. 1-6, doi: 10.1109/ICAECT63952.2025.10958844.
[11] Puvvada, Ravi Kiran. "Industry-Specific Applications of SAP S/4HANA Finance: A Comprehensive Review." International Journal of Information Technology and Management Information Systems(IJITMIS) 16.2 (2025): 770-782.
[12] Sawhney, M., & Prandelli, E. (2000). Communities of Creation. Research Policy, 29(4-5), 309-329.
[13] Sree Lakshmi Vineetha Bitragunta* and Muthukumar Paramasivan, Midterm Dynamic Simulation for the Governance of Reserves in Systems with Elevated Renewable Energy Integration, Journal of Artificial Intelligence, Machine Learning and Data Science, Vol: 1 & Iss: 1, PP-1-7, 2023.
[14] Muniraju Hullurappa, Sudheer Panyaram, “Quantum Computing for Equitable Green Innovation Unlocking Sustainable Solutions,” in Advancing Social Equity Through Accessible Green Innovation, IGI Global, USA, pp. 387- 402, 2025.
[15] Chesbrough, H. (2003). Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business Press.
[16] Gopichand Vemulapalli, Padmaja Pulivarthy, “Integrating Green Infrastructure With AI-Driven Dynamic Workload Optimization: Focus on Network and Chip Design,” in Integrating Blue-Green Infrastructure Into Urban Development, IGI Global, USA, pp. 397-422, 2025.
[17] Voguebusiness.com. (2023). The Vogue Business 100 Innovators: Tech and Web3 innovators. Vogue Business.
[18] P. K. Maroju, "AI-Powered DMAT Account Management: Streamlining Equity Investments and Mutual Fund Transactions," International Journal of Advances in Engineering Research, vol. 25, no. 1, pp. 7–18, Dec. 2022.
[19] Li, Y., Fu, K., Gong, X., Xiang, Z., Zhang, J., & Liao, C. (2022). Research on value co-creation mechanism of platform enterprises in digital innovation ecosystem: A case study on Haier HOPE platform in China. Frontiers in Psychology.
[20] Kommineni, M., & Chundru, S. (2025). Sustainable Data Governance Implementing Energy-Efficient Data Lifecycle Management in Enterprise Systems. In Driving Business Success Through Eco-Friendly Strategies (pp. 397-418). IGI Global Scientific Publishing.
[21] Jovanovic, M., Sjödin, D., & Parida, V. (2021). Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms. arXiv.
[22] Kirti Vasdev. (2022). “GIS for 5G Network Deployment: Optimizing Coverage and Capacity with Spatial Analysis”. Journal of Artificial Intelligence & Cloud Computing, 1(3), PP, 1-3. doi.org/10.47363/JAICC/2022(1)E242.
[23] Bhagath Chandra Chowdari Marella, “Scalable Generative AI Solutions for Boosting Organizational Productivity and Fraud Management”, International Journal of Intelligent Systems And Applications In Engineering, vol. 11, no.10, pp. 1013–1023, 2023.
[24] Lakshmi Narasimha Raju Mudunuri, “Risk Mitigation Through Data Analytics: A Proactive Approach to Sourcing”, Excel International Journal of Technology, Engineering and Management, vol. 10, no.4, pp. 159-170, 2023, https://doi.uk.com/7.000100/EIJTEM
[25] Venu Madhav Aragani, Arunkumar Thirunagalingam, “Leveraging Advanced Analytics for Sustainable Success: The Green Data Revolution,” in Driving Business Success Through Eco-Friendly Strategies, IGI Global, USA, pp. 229- 248, 2025.
[26] Kodi, D. (2024). “Automating Software Engineering Workflows: Integrating Scripting and Coding in the Development Lifecycle “. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 635–652.
[27] Sudheer Panyaram, (2025). Optimizing Processes and Insights: The Role of AI Architecture in Corporate Data Management. IEEE.
[28] Pulivarthy, P. (2023). Enhancing Dynamic Behaviour in Vehicular Ad Hoc Networks through Game Theory and Machine Learning for Reliable Routing. International Journal of Machine Learning and Artificial Intelligence, 4(4), 1-13.
[29] Swathi Chundru, Siva Subrahmanyam Balantrapu, Praveen Kumar Maroju, Naved Alam, Pushan Kumar Dutta, Pawan Whig, (2024/12/1), AGSQTL: adaptive green space quality transfer learning for urban environmental monitoring, 8th IET Smart Cities Symposium (SCS 2024), 2024, 551-556, IET.
[30] Mohanarajesh Kommineni. (2022/11/28). Investigating High-Performance Computing Techniques For Optimizing And Accelerating Ai Algorithms Using Quantum Computing And Specialized Hardware. International Journal Of Innovations In Scientific Engineering. 16. 66-80. (Ijise) 2022.
[31] Empowering the Future: The Rise of Electric Vehicle Charging Hubs - Sree Lakshmi Vineetha Bitragunta - IJLRP Volume 5, Issue 11, November 2024, PP-1-10, DOI 10.5281/zenodo.14945815.
[32] Puvvada, R. K. (2025). Enterprise Revenue Analytics and Reporting in SAP S/4HANA Cloud. European Journal of Science, Innovation and Technology, 5(3), 25-40.
[33] Pugazhenthi, V. J., Singh, J. K., Visagan, E., Pandy, G., Jeyarajan, B., & Murugan, A. (2025, March). Quantitative Evaluation of User Experience in Digital Voice Assistant Systems: Analyzing Task Completion Time, Success Rate, and User Satisfaction. In SoutheastCon 2025 (pp. 662-668). IEEE.
[34] Sumaiya Noor, Salman A. AlQahtani, Salman Khan, “ XGBoost-Liver: An Intelligent Integrated Features Approach for Classifying Liver Diseases Using Ensemble XGBoost Training Model”, Computers, Materials and Continua, Volume 83, Issue 1, 2025, Pages 1435-1450, ISSN 1546-2218, https://doi.org/10.32604/cmc.2025.061700.(https://www.sciencedirect.com/science/article/pii/S1546221825002632).
[35] A. Garg, S Mishra, and A Jain, “Leveraging IoT-Driven Customer Intelligence for Adaptive Financial Services”, IJAIDSML, vol. 4, no. 3, pp. 60–71, Oct. 2023, doi: 10.63282/3050-9262.IJAIDSML-V4I3P107
[36] Batchu, R.K., Settibathini, V.S.K. (2025). Sustainable Finance Beyond Banking Shaping the Future of Financial Technology. In: Whig, P., Silva, N., Elngar, A.A., Aneja, N., Sharma, P. (eds) Sustainable Development through Machine Learning, AI and IoT. ICSD 2024. Communications in Computer and Information Science, vol 2196. Springer, Cham. https://doi.org/10.1007/978-3-031-71729-1_12
