Multimethod to prioritize projects evaluated in different formats

Area of Science:

• Innovation Management
• Decision Sciences
• Operations Research

Background:

• Project prioritization is crucial for innovation management.
• Existing methods often handle only one expert preference format.
• This limits the integration of diverse project portfolios.

Purpose of the Study:

• Develop techniques for format crossover between prioritization methods.
• Enable merging of project portfolios evaluated with different methods.
• Facilitate prioritization of projects assessed using varied preference formats.

Main Methods:

• Introduced a methodology for format and method crossover.
• Applied techniques to ensure compatibility between preference formats and prioritization methods.
• Demonstrated application using Mapping, Analytic Hierarchy Process (AHP), and TODIM methods.

Main Results:

• Successfully developed techniques to bridge different preference formats and prioritization methods.
• Enabled the merging of project portfolios evaluated using disparate methods.
• Achieved consistent evaluation matrices for cross-method project prioritization.

Conclusions:

• The proposed methodology offers a universal solution for prioritizing projects across different formats.
• It enhances flexibility and compatibility in innovation management decision-making.
• The techniques provide a robust framework for integrating diverse project evaluations.