نوع مقاله : مقاله علمی پژوهشی
نویسندگان
1 مدیریت سیاستگذاری بازرگانی، دانشگاه تهران، ایران
2 پژوهشگر حوزه سیاستگذاری و حقوق عمومی،دانشگاه قم، ایران
3 مهندسی کامپوتر- نرم افزار، دانشگاه بین المللی امام خمینی، قزوین، ایران
4 CIICESI، دانشکده فناوری و مدیریت (ESTG)، پلیتکنیک پورتو، فِلگِیراش ۴۶۱۰، پرتغال
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Objective:
With the increasing complexity of business environments, organizations are facing growing challenges characterized by nonlinear, unpredictable, and multi-causal dynamics. These settings, often referred to as volatile, uncertain, complex, and ambiguous (VUCA) environments, have exposed the growing inadequacy of traditional managerial decision-making models—models built upon assumptions of perfect rationality, linear causality, and stable structures. The primary objective of this study is to propose a novel conceptual and computational model grounded in quantum physics theory, aiming to redefine the structure of decision-making in such uncertain and dynamic organizational contexts. Central quantum concepts such as superposition, entanglement, and the uncertainty principle are employed not merely as metaphors, but as analytical tools to model decision-making processes more accurately under complexity and uncertainty.
Methodology:
This research adopts a two-phase approach combining conceptual analysis and computational simulation. In the first phase, drawing from interdisciplinary literature and comparative theory analysis, the semantic and structural linkages between managerial decision-making paradigms and principles of quantum physics were explored and established. In the second phase, Grover’s algorithm—a widely recognized quantum search algorithm—was implemented to simulate decision-making processes in uncertain, multi-alternative environments. The algorithm utilizes quantum interference principles to reduce the number of search iterations required for identifying optimal choices. Simulations were conducted using three- and four-qubit systems, and the performance of the algorithm was benchmarked against classical linear search techniques to evaluate its efficacy in navigating complex decision spaces.
Findings:
The simulation results demonstrate that the proposed quantum-based model significantly reduces the number of searches required within decision spaces while enhancing the accuracy of optimal option selection under uncertainty. Furthermore, the metaphorical application of quantum principles enables a richer understanding of organizational decision dynamics. Specifically, the use of superposition facilitated the simultaneous analysis of multiple preference states; entanglement effectively captured the mutual interdependence of decisions across organizational units; and the uncertainty principle provided a foundation for constructing non-deterministic decision systems based on probabilistic reasoning. These insights proved especially relevant in strategic decision-making scenarios within knowledge-intensive industries and rapidly changing markets, where conventional models tend to fall short.
Conclusion:
This research contributes a pioneering interdisciplinary framework that integrates quantum logic into the domain of managerial decision-making. The model presented here offers a transformative perspective on how organizations can navigate uncertainty, complexity, and interdependent dynamics in strategic decision contexts. By leveraging nonlinear structures and multi-state analysis, the proposed model provides a robust foundation for designing next-generation decision-support tools tailored for the challenges of the 21st-century business landscape. Moreover, the model enhances managerial capacity for recognizing hidden dependencies, understanding systemic feedback loops, and embracing probabilistic reasoning—ultimately improving decision speed, accuracy, and creativity. This hybrid approach between quantum theory and management science paves the way for future research in areas such as risk analysis, project selection, multi-criteria decision-making, and the integration of quantum algorithms with machine learning systems.
کلیدواژهها [English]
)