Optimizing R&D Resource Allocation for Enterprise Innovation Team's in Ethiopia

This paper examines the optimal strategies for distributing limited R&D resources, considering the impact of governmental incentives and intra-enterprise competition teams in Ethiopia. We investigate that Success probabilities are increasing likelihood of innovation success with enhanced resource and effort inputs, but with diminishing returns. Equilibrium analysis and optimization problems, solved via MATLAB simulations, illustrate how resource allocation can significantly enhance innovation efficiency. We find while focusing resources on a single team may maximize outputs under specific conditions, distributing resources across multiple teams can promote beneficial competition and exploit diverse capabilities, thus optimizing the overall innovation within enterprises. This paper contributes valuable insights to strategic management in Ethiopia by outlining mathematical methods through which Ethiopian enterprises can maximize their innovation potential in the midst of resource constraints and competitive dynamics.

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Publication Details

Journal
International Journal of Finance and Investment
Published
2025-03-27
DOI
https://doi.org/10.54097/2b11cs32
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing R&D Resource Allocation for Enterprise Innovation Team's in Ethiopia

Ashenafi Hailemichael Mesfin
International Journal of Finance and Investment
Innovation and Knowledge Management
article

Optimizing R&D Resource Allocation for Enterprise Innovation Team's in Ethiopia

Ashenafi Hailemichael Mesfin
article en

Abstract

This paper examines the optimal strategies for distributing limited R&D resources, considering the impact of governmental incentives and intra-enterprise competition teams in Ethiopia. We investigate that Success probabilities are increasing likelihood of innovation success with enhanced resource and effort inputs, but with diminishing returns. Equilibrium analysis and optimization problems, solved via MATLAB simulations, illustrate how resource allocation can significantly enhance innovation efficiency. We find while focusing resources on a single team may maximize outputs under specific conditions, distributing resources across multiple teams can promote beneficial competition and exploit diverse capabilities, thus optimizing the overall innovation within enterprises. This paper contributes valuable insights to strategic management in Ethiopia by outlining mathematical methods through which Ethiopian enterprises can maximize their innovation potential in the midst of resource constraints and competitive dynamics.

International Journal of Finance and InvestmentVol. 2(2)
Chongqing University of Posts and Telecommunications (CN)
Chongqing University, Chongqing University of Posts and Telecommunications
Openalex Percentile: Top 72%
Innovation and Knowledge Management
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Optimizing R&D Resource Allocation for Enterprise Innovation Team's in Ethiopia — Ashenafi Hailemichael Mesfin · International Journal of Finance and Investment (2025) | TGRS Research Map | TGRS