Document Type : Original Article
Authors
1
Assistant Professor, Faculty of Social Sciences, AJA Command and staff University, Tehran, Iran.
2
Instructor, Imam Ali (AS) Military Academy, Tehran, Iran
3
PhD in Strategic Defense Sciences, Supreme National Defense University, Tehran, Iran
4
Command and Staff College, AJA Command and Staff University, Tehran, Iran
5
PhD in Sports Sociology, Faculty Instructor at the School of Management, Shahid Satari Air Sciences University, Tehran, Iran.
10.22034/jdhcm.2025.2056495.1174
Abstract
Objective: Integrating quantum principles into management practices can enhance decision-making and adaptability in complex environments. Therefore, the aim of this research is to elucidate quantum management as the key to success in the modern battlefield.
Methodology: This research is applied in purpose and utilizes qualitative content analysis (thematic extraction and analysis). The researchers employed related terms directly and indirectly through interviews with nine experts in the Islamic Republic of Iran Army, using purposive sampling, and subsequently conducted thematic analysis. Thus, with the validation of experts and nine interviews, the validity and reliability of the findings were ensured, and their stability was secured through systematic coding.
Findings: The findings indicate that according to Mering's method (2004) in modern battlefield management, uncertainty (0.98) holds the highest priority, and accurately predicting events is challenging. The speed of changes (0.92) highlights the need for rapid decision-making, while complexity (0.90) refers to managing multiple factors. Non-linearity of changes (0.85) indicates the necessity for innovative approaches. Multiplicity (0.80) emphasizes coordination among stakeholders, and human interactions (0.79) are vital for building trust. Innovation (0.75) contributes to performance improvement, and distributed leadership (0.72) aids in increasing flexibility and rapid responsiveness.
Originality: In modern battlefield management, advanced analytical and data-driven techniques should be employed to reduce uncertainty and improve predictions. Additionally, establishing rapid and flexible decision-making systems in light of the speed of changes is essential.
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