Launching the Journal of Resource Management and Decision Engineering: A New Frontier in Decision Science and Resource Allocation

Authors

DOI:

https://doi.org/10.61838/kman.jrmde.1.1.1

Keywords:

Resource Management, Decision-Making, Peer-Review Journal, Open Access

Abstract

The launch of the Journal of Resource Management and Decision Engineering (JRMDE) marks a significant milestone in the fields of decision science and resource allocation. This inaugural issue not only sets the stage for a rigorous exploration of complex decision-making processes but also establishes a new open access platform for researchers, practitioners, and policymakers to disseminate their findings, innovations, and insights in a rapidly evolving discipline. At JRMDE, our vision is to bridge the gap between theoretical research and practical applications within the scope of resource management and decision engineering. The journal seeks to publish high-quality, peer-reviewed articles that contribute to the understanding of decision-making processes in the context of resource allocation, efficiency, and sustainability. JRMDE is committed to advancing knowledge and practice in the field through rigorous scholarship and a multidisciplinary approach. We look forward to engaging with the global research community to explore new frontiers in decision science and resource allocation. We believe that through collaborative efforts and shared knowledge, we can address some of the most challenging issues facing societies today. Join us in shaping the future of decision engineering and resource management. Submit your research, reviews, and insights, and contribute to a sustainable tomorrow. By fostering a comprehensive platform for debate, research, and innovation, JRMDE aims to play a pivotal role in shaping the future of resource management and decision-making processes around the world.

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Published

2022-10-01

How to Cite

Amirnejad, G. (2022). Launching the Journal of Resource Management and Decision Engineering: A New Frontier in Decision Science and Resource Allocation. Journal of Resource Management and Decision Engineering, 1(1), 1-3. https://doi.org/10.61838/kman.jrmde.1.1.1

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