Integrating Sustainability into Excellence Models
Integrating Sustainability into Excellence Models
Purpose
This paper aims to explore the intersection of excellence models and sustainability, analyzing their impact on organizational behavior and practices. It investigates the effectiveness of Multi-Criteria
Decision-Making (MCDM) techniques in evaluating sustainability criteria within excellence models.
Design/methodology/approach
The study utilizes a comprehensive literature review approach to gather insights from existing research on excellence models, awards, and their relationship with sustainability. It synthesizes findings from diverse sources to provide a nuanced understanding of the subject matter. Additionally, the proposal outlines planned case studies and empirical data collection to illustrate practical applications of MCDM techniques in assessing sustainability within organizational frameworks.
Findings
The findings are anticipated to highlight the importance of integrating sustainability considerations into excellence models and organizational practices. The comparative analysis is expected to reveal the strengths and limitations of various excellence models in addressing sustainability criteria.
Moreover, the application of MCDM techniques is projected to enhance the rigor and comprehensiveness of sustainability assessment, facilitating informed decision-making processes.
Originality/value
This proposal contributes to the existing literature by offering a comprehensive examination of the relationship between excellence models and sustainability. By incorporating MCDM techniques, it
introduces innovative approaches to evaluating sustainability criteria within organizational
frameworks. The findings are expected to provide valuable insights for organizations seeking to
enhance their sustainability practices and align with global sustainability goals.
Excellence models, Sustainability, Multi-Criteria Decision-Making (MCDM),Organizational behavior, Comparative analysis, Quality Management, Stakeholder Value, LiteratureReview, Data Analysis

