Alternative prioritization for mitigating competition-related issues in Tanzania sugar industry using an integrated multi-criteria decision-making approach

Professionals and policymakers often encounter challenges in selecting and ranking effective solutions to address competition-related issues in various industries including sugar industry. Despite extensive research in this area, the Tanzanian context, significantly impacted by these challenges, has not received sufficient attention. Thus, this study aims to fill this gap by identifying and prioritizing these issues. It proposes four strategies and establishes five criteria for prioritization. To achieve this, the study introduces an integrated methodology to assess criteria weights and rank strategies based on these weighted criteria. The FullEX technique is applied to assess the criteria weights, while the AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalization) method is used to rank the alternatives. The study validates this methodology through a sensitivity and comparative analyses, which identifies the <i>amendment of the law to accommodate the leniency program (S1)</i> as the most appropriate strategy for mitigating competition-related issues in the sugar industry.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-12-28
DOI
https://doi.org/10.1016/j.heliyon.2024.e41521
Citations
1
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Alternative prioritization for mitigating competition-related issues in Tanzania sugar industry using an integrated multi-criteria decision-making approach

Yu Zuo, Mouhamed Bayane Bouraima, Tafuteni Nicholaus Chusi, Azam Shehbaz
1 citations
Heliyon
Optimization and Mathematical Programming
0.33
article

Alternative prioritization for mitigating competition-related issues in Tanzania sugar industry using an integrated multi-criteria decision-making approach

Yu Zuo, Mouhamed Bayane Bouraima, Tafuteni Nicholaus Chusi, Azam Shehbaz
article en
1 citations

Abstract

Professionals and policymakers often encounter challenges in selecting and ranking effective solutions to address competition-related issues in various industries including sugar industry. Despite extensive research in this area, the Tanzanian context, significantly impacted by these challenges, has not received sufficient attention. Thus, this study aims to fill this gap by identifying and prioritizing these issues. It proposes four strategies and establishes five criteria for prioritization. To achieve this, the study introduces an integrated methodology to assess criteria weights and rank strategies based on these weighted criteria. The FullEX technique is applied to assess the criteria weights, while the AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalization) method is used to rank the alternatives. The study validates this methodology through a sensitivity and comparative analyses, which identifies the <i>amendment of the law to accommodate the leniency program (S1)</i> as the most appropriate strategy for mitigating competition-related issues in the sugar industry.

HeliyonVol. 11(4)
Dongbei University of Finance and Economics (CN), Sichuan Institute of Building Research (CN), Sichuan College of Architectural Technology
Openalex Percentile: Top 37%
Optimization and Mathematical Programming
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.