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Managing Product Lifecycle Complexity: A Systems-Based Approach to Innovation, Risk, and Market Timing
Subject area: Science,Engineering and Technology · Area of research: Business Management
DOI: https://doi.org/10.64388/IREV8I3-1714982
Abstract
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.
Keywords
Product Lifecycle Management; Systems Theory; Innovation Governance; Risk Modeling; Market Timing; Portfolio Strategy; Adaptive Product Systems; Strategic Management
How to cite this paper
@article{1714982,
author = {Atakan Bolukbasi},
title = {Managing Product Lifecycle Complexity: A Systems-Based Approach to Innovation, Risk, and Market Timing},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {3598-3608},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714982.pdf},
abstract = {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.},
keywords = {Product Lifecycle Management; Systems Theory; Innovation Governance; Risk Modeling; Market Timing; Portfolio Strategy; Adaptive Product Systems; Strategic Management},
month = {March},
doi = {https://doi.org/10.64388/IREV8I3-1714982}
}