Modern product lifecycles have become structurally complex due to accelerated innovation cycles, digital platform dependencies, and volatile market conditions. Traditional lifecycle management models, which assume linear progression from development to maturity and decline, fail to capture the systemic interdependencies shaping contemporary markets. This paper develops a systems-based framework for managing product lifecycle complexity by integrating innovation governance, risk modeling, and strategic market timing. Drawing from systems theory, innovation diffusion research, and risk management literature, the study conceptualizes the product lifecycle as an adaptive system rather than a sequential process. It proposes a governance model that aligns innovation intensity, risk exposure, and timing decisions across lifecycle stages. The paper contributes to theory by reframing lifecycle management as systemic orchestration and offers managerial implications for technology-driven enterprises navigating dynamic competitive environments.
Product Lifecycle Management; Systems Theory; Innovation Governance; Risk Modeling; Market Timing; Portfolio Strategy; Adaptive Product Systems; Strategic Management
IRE Journals:
Atakan Bolukbasi "Managing Product Lifecycle Complexity: A Systems-Based Approach to Innovation, Risk, and Market Timing" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 1104-1114 https://doi.org/10.64388/IREV8I3-1714982
IEEE:
Atakan Bolukbasi
"Managing Product Lifecycle Complexity: A Systems-Based Approach to Innovation, Risk, and Market Timing" Iconic Research And Engineering Journals, 8(3) https://doi.org/10.64388/IREV8I3-1714982