| abstract |
| Background The expectation for the feasibility of quantum computing technology has garnered significant interest in related research. However, due to the complexity of the underlying theories, there have been almost no attempts to apply this research across various academic disciplines. Quantum theory utilizes qubit, which are based on the principles of uncertainty, rather than the deterministic concept of bits used in traditional information processing. The concept of qubit is groundbreaking in that it can simulate outcomes that remain indeterminate until the moment of choice in the real world.
Methods In this paper, we introduce a method to extract high-quality information hidden within data by analyzing product market share data from a quantum theory perspective. To validate the applicability of this approach, we apply it to actual smartphone market share data.
Result The experimental results demonstrate that, compared to conventional intuitive data analysis methods, this quantum theory-based approach enables the identification of correlations between smartphone brands and provides meaningful insights into detecting and analyzing the causes of market share fluctuations.
Conclusion The proposed model could provide an opportunity to explore various applications by applying quantum states to the different factors influencing consumer product choices and by securing big data. |
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| Key Words |
| 양자이론, 마케팅, 시장 점유율 분석, quantum theory, marketing, market share analysis |
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