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Implementing a multi-criteria decision-making approach to a new party's election campaign - A case study
1Western Galilee College, Sir Harry Solomon School of Management, Akko, Israel.
New political parties can maximize voters by efficiently allocating campaign advertising resources. This study introduces a user-friendly model integrating confidential and public data, using the Pareto principle and multi-criteria decision-making for optimal resource distribution.
Area of Science:
- Political Science
- Marketing Science
- Data Science
Background:
- New political parties face resource constraints compared to established ones.
- Efficient allocation of campaign advertising is critical for maximizing voter outreach, especially with heterogeneous electorates.
- Strategic resource management is key for new parties to gain traction and voters.
Purpose of the Study:
- To develop an efficient method for allocating campaign advertising resources for new political parties.
- To maximize the number of voters acquired by a new party.
- To provide a user-friendly tool for campaign managers and strategic teams.
Main Methods:
- Integration of the Pareto principle with a multi-criteria decision-making approach.
- Utilization of both confidential party data and official open-access data.
- Implementation of the model during a real-world pre-election campaign period.
Main Results:
- The developed model provides clear and unbiased results for resource allocation.
- The model proved effective and user-friendly for campaign strategists.
- Demonstrated practical application in the context of the April 2019 Israeli elections.
Conclusions:
- The proposed model offers an effective solution for optimizing campaign advertising resource allocation for new political parties.
- The integration of diverse data sources and decision-making principles enhances strategic planning.
- The model's user-friendliness facilitates adoption by campaign teams, leading to improved voter acquisition strategies.
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