Transforming Value Delivery: A Product Operating Model for Digital Innovation and Competitive Advantage
References
- Almeida, F. (2022). The role of artificial intelligence in optimizing business operations. AI & Business Journal, 5(2), 45–67.
- Barnes, S., Cameron, R., & Day, R. (2010). Tacit knowledge as a strategic resource in organizations. Knowledge Management Research & Practice, 8(1), 56–68.
- Bock, G., & Smith, J. (2021). Real-time analytics and IoT: How connected devices transform business operations. Journal of Emerging Technologies, 9(1), 120–140.
- Bratianu, C. (2011a). Changing paradigms for knowledge metaphors in the organization. Management Dynamics, 10(4), 58–65.
- Bratianu, C. (2011b). The role of metaphors in creating knowledge. Management & Marketing Challenges for the Knowledge Society, 6(1), 23–32.
- Bratianu, C. (2013). A critical approach to knowledge as a field. In Knowledge horizons: Theoretical perspectives (pp. 210–225). ASE.
- Brown, J. (2019). Customer-oriented product operating models for digital innovation. Journal of Strategic Management, 11(3), 15–25.
- Brown, T. (2020). The impact of AI and machine learning on product innovation cycles. Technology & Innovation Review, 18(3), 201–220.
- Chandra, K., Patel, S., & Singh, V. (2021). Leveraging artificial intelligence and machine learning in organizational processes. International Journal of Business Analytics, 8(2), 45–60.
- Chung, H., & Lee, M. (2021). Predictive analytics in supply chain management: The role of AI-driven forecasting. International Journal of Logistics Management, 27(2), 89–105.
- Davila, A., & Foster, G. (2022). AI-driven automation and its impact on workforce efficiency. Journal of Business Automation, 16(4), 300–320.
- Fernandez, P., & Liu, Q. (2023). Agile transformation in large enterprises: Case studies and best practices. Journal of Agile Business, 22(1), 55–78.
- Garcia, L., Martinez, F., & Robertson, T. (2021). Agile methodologies in product innovation. International Journal of Agile Systems and Management, 14(4), 213–230.
- Green, S., & Harris, B. (2022). Digital twins and IoT: A new era of predictive maintenance. Industry 4.0 Review, 11(3), 150–172.
- Huang, Z., & Patel, R. (2021). The evolution of customer experience through AI-powered chatbots. Journal of Marketing Technology, 14(2), 99–117.
- Jackson, K., & Roberts, L. (2020). Robotic process automation: A game changer for business efficiency. Automation & AI Journal, 12(4), 66–85.
- Johnson, R., & Miller, T. (2021). The WHO, WHAT, and HOW framework in operational modeling. Operations Research Quarterly, 25(2), 100–120.
- Kumar, A., & Zhang, Y. (2023). AI in strategic decision-making: A study of Fortune 500 companies. Journal of Strategic AI, 7(2), 25–45.
- Lee, K., & Kim, H. (2020). Prototyping and iterative processes in product development. Journal of Product Innovation Management, 37(1), 29–42.
- Lopez, R., & Kim, D. (2022). Machine learning in fintech: Risk management and fraud detection. Financial Innovation Journal, 15(1), 40–60.
- Martinez, S., & Brown, J. (2021). Smart factories: The role of IoT and automation in manufacturing. International Journal of Smart Industry, 10(2), 180–202.
- Nelson, M., & Cooper, D. (2023). Business agility in the AI era: How firms adapt to digital transformation. Journal of Business Agility, 19(3), 65–90.
- Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.
- Riti, R. I., Ionica, A. C., & Leba, M. (2024). Implementing Scaled Agile Framework methodology principles in the quality assurance process. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & A. Poniszewska-Marańda (Eds.), Good practices and new perspectives in information systems and technologies. WorldCIST 2024. Lecture Notes in Networks and Systems (Vol. 989, pp. 3–12). Springer, Cham. https://doi.org/10.1007/978-3-031-60227-6_1
- Rodriguez, P., & Silva, M. (2021). Data-driven decision-making in e-commerce: The impact of AI. E-Commerce Insights, 8(1), 33–50.
- Singh, V., & Patel, S. (2022). Enhancing decision-making through business analytics in organizations. Management Science Insights, 18(1), 78–90.
- Smith, A., Taylor, J., & White, D. (2020). Operational modeling and strategic frameworks. Business Dynamics Quarterly, 12(2), 34–50.
- Taylor, J. (2022). Digital transformation through strategic alignment. Journal of Digital Strategy, 19(4), 98–112.
- Turner, C., & Singh, R. (2022). The future of cloud-based AI solutions in enterprise environments. Cloud Computing Journal, 17(4), 95–120.
- White, D., & Green, L. (2023). Trust and innovation in decentralized decision-making systems. Journal of Organizational Dynamics, 15(3), 112–127.
DOI: https://doi.org/10.2478/picbe-2025-0319 | Journal eISSN: 2558-9652
Language: English
Page range: 4161 - 4172
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2025 Raul Ionut Riti, Cristina Terezia Dresan Pop, Ioana-Alexandra Năstăsoiu, Laura Bacali, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.