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Model of Multi-branch Trees for Efficient Resource Allocation

1
Faculty of Teacher Education, Shumei University, Chiba 276-0003, Japan
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Faculty of Tourism and Business Management, Shumei University, Chiba 276-0003, Japan
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Faculty of Business Administration, Soka University, Tokyo 192-8577, Japan
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Department of Information Systems and Operations, Vienna University of Economics, 1020 Wien, Austria
*
Author to whom correspondence should be addressed.
Algorithms 2020, 13(3), 55; https://doi.org/10.3390/a13030055
Received: 12 February 2020 / Revised: 27 February 2020 / Accepted: 28 February 2020 / Published: 1 March 2020
Although exploring the principles of resource allocation is still important in many fields, little is known about appropriate methods for optimal resource allocation thus far. This is because we should consider many issues including opposing interests between many types of stakeholders. Here, we develop a new allocation method to resolve budget conflicts. To do so, we consider two points—minimizing assessment costs and satisfying allocational efficiency. In our method, an evaluator’s assessment is restricted to one’s own projects in one’s own department, and both an executive’s and mid-level executives’ assessments are also restricted to each representative project in each branch or department they manage. At the same time, we develop a calculation method to integrate such assessments by using a multi-branch tree structure, where a set of leaf nodes represents projects and a set of non-leaf nodes represents either directors or executives. Our method is incentive-compatible because no director has any incentive to make fallacious assessments. View Full-Text
Keywords: multi-branch trees; resource allocation; budget allocation; internal assessment; assessment costs; allocational efficiency; AHP; ternary diagram multi-branch trees; resource allocation; budget allocation; internal assessment; assessment costs; allocational efficiency; AHP; ternary diagram
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MDPI and ACS Style

Oyamaguchi, N.; Tajima, H.; Okada, I. Model of Multi-branch Trees for Efficient Resource Allocation. Algorithms 2020, 13, 55. https://doi.org/10.3390/a13030055

AMA Style

Oyamaguchi N, Tajima H, Okada I. Model of Multi-branch Trees for Efficient Resource Allocation. Algorithms. 2020; 13(3):55. https://doi.org/10.3390/a13030055

Chicago/Turabian Style

Oyamaguchi, Natsumi; Tajima, Hiroyuki; Okada, Isamu. 2020. "Model of Multi-branch Trees for Efficient Resource Allocation" Algorithms 13, no. 3: 55. https://doi.org/10.3390/a13030055

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