Submitted:
01 August 2024
Posted:
02 August 2024
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Abstract
Keywords:
1. Introduction
- Why is there a necessity for better alignment of organizations with contemporary challenges, and how does this alignment impact long-term strategic resilience and competitiveness?
- How the integration of advanced technologies such as AI and data analytics in the EFQM Model 2025 could facilitate innovative performance management and drive transformational change within organizations?
- What are the potential specific impacts of the EFQM Model 2025 on organizational adaptability, stakeholder satisfaction, and sustainable performance, and how do these impacts compare with previous models?
2. Materials and Methods
3. Results
- ⇒
- Direction:
- Purpose, Vision & Strategy: The importance of analyzing and understanding one's ecosystem, its impact on the current and future market and the identification, prioritization and segmentation of key stakeholders has been developed. Another important aspect is the reinforcement of the need to adapt strategy to a dynamic market and to build strategic risk management and adequate resource allocation. New guidelines for oversight and strategy implementation have been introduced reflecting the speed of change and the need for continuous and flexible strategy adaptation associated with dynamic change. The need to align the organization’s purpose with global requirements for environmental, social management initiatives in the context of sustainability and best practice in this area was emphasized. The necessity that a company "understands sustainability principles and requirements and integrates them into performance management and governance systems" was emphasized.
- Organizational Culture & Leadership: the role of leadership was reinforced, emphasizing the importance of developing and modelling desirable organizational values and culture. The importance of change and agility regarding the approach to the environment to contribute to creativity and innovation, inclusion and diversity is highlighted. Embedding sustainability in the vision and culture of the organization is important
- ⇒
- Execution:
- 3.
- Engaging Stakeholders: the basic approach has remained unchanged, but advanced data analysis and AI have been introduced to better understand and anticipate stakeholder needs. Guidelines were expanded, especially for social stakeholders, partners and suppliers highlighting mutual benefits, ethical aspects and the importance of two-way communication. The need to involve stakeholders in supporting transformation and sustainability activities was emphasized. Attention was paid to building collaborative channels based on trust. In the "People" criterion-part, the use of the concept of "Empowerment" was abandoned.
- 4.
- Creating Sustainable Value: The Model elaborates on the issue of sustainable value creation and focuses attention on customers in this Criterion. It emphasizes the possibility of using AI technologies already at the design stage of products and services, it considers environmental and social sustainability and emphasizes the principles of a circular economy. It introduces detailed methods such as building a marketing and communication strategy or using employees as ambassadors for the company. The description of the importance of flexibility in responding to changing market demands and circumstances without compromising the entire organization has been expanded. There is a focus on new technologies and effective supply chain management. An important element is the emphasis on minimizing negative social and economic impacts on the environment and leaving a carbon footprint.
- 5.
- Driving Performance & Transformation: Emphasizes digital transformation and its impact on the organization. Integrates advanced data collection, analysis and processing methods using modern digital technologies such as AI, Big Data, etc. Emphasizes the importance of organizational resilience to a dynamically changing ecosystem. Considers sustainability indicators. Introduces new approaches to working, including remote working, hybrid working, AR, Agile and Lean principles. Describes the importance of a systemic approach to organizational change and the need to convince and engage its stakeholders. Another important area is the allocation of resources to support research, experimentation and the generation of knowledge for its activities. The term 'risk management' has been removed from the headline of one Criterion-part and now is “Drives Performance” but remains part of the content.
- ⇒
- Results:
- 6.
- Stakeholder Perceptions: The EFQM Model 2025 expands the measurement of stakeholder perceptions by integrating more comprehensive indicators and feedback mechanisms. Unlike the previous model, which primarily relied on quantitative measures, the 2025 model incorporates both quantitative and qualitative data. Techniques such as sentiment analysis and machine learning are employed to gain deeper insights into stakeholder perceptions. These methods allow organizations to identify not only strengths but also areas needing improvement, leading to more targeted and effective strategies for stakeholder engagement and satisfaction.
- 7.
- Strategic & Operational Performances: The key changes are described in the Positioning Statement. It has been emphasized that results are to be achieved in a sustainable manner. Predictive measures should be used to forecast and plan for the future. The EFQM Model 2025 clearly differentiates between strategic and operational performances, unlike its predecessor. Strategic performance is directly linked to the organization’s purpose, vision, and strategy, ensuring that long-term goals align with sustainable success and growth. Operational performance, on the other hand, focuses on the effectiveness of day-to-day activities. The model introduces five categories: Fulfilment of Stakeholder Expectations and their Contribution, Economics and Financials, Sustainability, Performance and Transformation, and Predictive Measures for the Future. This comprehensive approach ensures that all aspects of performance are systematically evaluated and improved.
4. Discussion (What do the Changes Potentially Bring?)
4.1. Sustainability as a Core Element
4.2. Leadership and Culture as Core Elements
4.3. Empowerment vs. Engagement
4.4. Leveraging New Digital Technology to EFQM Activity
4.5. Clarity vs. Flexibility
5. Conclusions
- Alignment with Contemporary Challenges:
- 2.
- Integration of Advanced Technologies:
- 3.
- Impacts on Organizational Outcomes:
Author Contributions
Funding
Informed Consent Statement
Conflicts of Interest
References
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| Based on a comparison of the EFQM Model 2020 and the EFQM Model 2025 | ||
|---|---|---|
| Feature | Model 2020 | Model 2025 |
| Direction | ||
| Purpose, Vision & Strategy | Focused on defining purpose, vision, and strategy, aligning them with stakeholder needs and the ecosystem. | Enhanced focus on: sustainability, alignment with UN SDGs, strategy adjustment and implementation, strategic risk management, and a stronger emphasis on resource allocation and performance management systems. |
| Organizational Culture & Leadership | Emphasis on leadership behaviors, role modeling, and fostering a supportive culture for innovation and change. | Reinforced leadership aspects, including commitment to purpose, role modeling, and removing barriers to change. New guidance on fostering creativity and innovation. Emphasizes the importance of stakeholders in shaping the strategy. |
| Execution | ||
| Engaging Stakeholders | Focused on engaging stakeholders and understanding their needs and expectations. | Continued focus on stakeholder engagement with enhanced use of data analytics and AI to predict and understand stakeholder needs. New guidance points introduced for society, partners, and suppliers. |
| Creating Sustainable Value | Emphasis on designing and delivering value aligned with the organization’s purpose and strategy. | Shift towards creating sustainable value, acknowledging changing customer needs, and incorporating circular economy principles. Emphasis on using advanced technologies for value creation. |
| Driving Performance & Transformation | Focused on managing performance and transformation, with elements of risk management included. | Additional focus on managing disruptions and ensuring business continuity. New emphasis on leveraging data-driven insights, sustainability, and new technologies like AI and data analytics. Emphasize the importance of R&D. |
| Results | ||
| Stakeholder Perceptions | Measurement of stakeholder perceptions, primarily quantitative. | Inclusion of qualitative measures for stakeholder perceptions. Use of sentiment analysis and machine learning for deeper insights. Emphasis on using insights to drive improvements and transformations. |
| Strategic & Operational Performance | Combined focus on strategic and operational results without clear segmentation. | Clear differentiation between strategic and operational performances. Strategic performance linked directly to purpose, vision, and strategy, while operational performance focuses on day-to-day activities. Introduction of five categories for performance measurement: Fulfilment of Stakeholder Expectations and their Contribution, Economics and Financials, Sustainability, Performance and Transformation, and Predictive Measures for the Future. |
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