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A detailed study of sustainability-focused project management frameworks, analysing their ethical depth and alignment with global standards.
Sustainability in project management has transitioned from a mere regulatory issue to a deeply ethical one, influencing decision-making at every stage of a project’s lifecycle. This comparative analysis aims to evaluate four leading sustainability-focused project management frameworks (IPMA ICB4, GPM P5, Udemy Sustainable Project Management, and Erasmus SDG Programme) by examining their alignment with Haidt’s Moral Foundations Theory (MFT), the United Nations Sustainable Development Goals (SDGs), and the Global Reporting Initiative (GRI) standards. The study applies a rigorous AI-assisted methodology, including Retrieval-Augmented Generation (RAG) for text analysis, and assesses each framework’s ethical depth and sustainability integration. Findings reveal critical gaps in ethical reasoning, particularly in commercially available courses, while frameworks like GPM P5 emerge as strong leaders in integrating ethical and sustainability principles. This study contributes to the literature on sustainability education and ethical decision-making in project management, with implications for future curriculum design.
Sustainability in project management is gaining increasing recognition, not only as a regulatory compliance issue but as a fundamental component of organisational ethics (Silvius & Schipper, 2014). 1 Sustainability-driven projects are designed with environmental, social, and economic considerations at their core. As the demand for sustainable project management grows, academic research on the integration of sustainability in project management frameworks is rapidly expanding. However, few studies have critically examined how these frameworks incorporate moral reasoning, which is essential for guiding ethical decision-making in sustainability contexts (Beringer et al., 2013). 2
Sustainability in project management requires a departure from traditional approaches that prioritise cost, time, and quality, and instead, embrace the broader social and environmental impact of projects (Schwab et al., 2021). 3 This transition demands not only technical and managerial competencies but also a fundamental understanding of ethics and moral reasoning, which remains underexplored in current project management curricula (Silvius & Schipper, 2014).
Moral Foundations Theory (MFT), developed by Jonathan Haidt (2012), 4 posits that human morality is based on a set of six innate and universally available moral foundations:
These foundations offer a comprehensive lens through which to analyse the ethical dimensions of various societal issues, including sustainability. In project management, the application of MFT can help evaluate how well different training frameworks incorporate moral considerations related to sustainability in decision-making (Graham et al., 2013). 5
Haidt’s framework provides a robust conceptual approach to understanding moral psychology and can be extended to evaluate sustainability-focused project management frameworks. Despite the significant potential of MFT in sustainability assessments, its use in this domain remains underdeveloped. Previous studies have applied MFT to business ethics (e.g., Graham et al., 2013), but its potential to illuminate the moral underpinnings of sustainability practices in project management remains largely unexplored.
The United Nations Sustainable Development Goals (SDGs), adopted in 2015, provide a global blueprint for addressing the world’s most pressing sustainability challenges, ranging from climate action (SDG 13) to reducing inequality (SDG 10). As the SDGs become a central focus of global sustainability efforts, project management frameworks must integrate these goals to ensure that sustainability is not only a compliance requirement but a strategic imperative (United Nations, 2015). 6 However, the extent to which current project management frameworks effectively align with the SDGs is not fully understood, warranting further investigation (Silvius & Schipper, 2014).
Similarly, the Global Reporting Initiative (GRI) standards serve as a leading framework for corporate sustainability reporting, emphasising transparency and accountability in environmental, social, and governance (ESG) matters. The alignment of project management training frameworks with GRI standards is crucial for ensuring that project managers are equipped to meet these global expectations in practice (Bebbington & Unerman, 2018). 7
While there is a growing body of research on sustainability in project management, few studies have systematically compared different project management frameworks in terms of their ethical integration and alignment with SDGs and GRI standards. Previous research has typically focused on technical aspects of sustainability (e.g., resource management, efficiency) or normative frameworks (e.g., stakeholder theory, triple bottom line), but the ethical dimensions remain insufficiently explored (Jonas et al., 2019). 8 Moreover, the integration of moral reasoning into sustainability-focused project management education has received little attention in the existing literature.
Studies have critiqued the lack of depth in commercially available sustainability courses, such as those offered through platforms like Udemy, which are seen as lacking in substantial ethical content (Keeble, 2021). 9 In contrast, frameworks like GPM P5 and academic programmes such as Erasmus University’s SDG-focused curriculum have been noted for their strong alignment with sustainability but have not been evaluated through the lens of moral foundations theory.
This gap in knowledge calls for a detailed exploration of how these various frameworks engage with moral foundations, SDGs, and GRI standards. The present study aims to fill this gap by using advanced AI-assisted methodologies to extract and analyse text from these frameworks and assess their ethical depth in relation to sustainability goals.
The central research question of this study is: How well do the selected sustainability-focused project management frameworks align with Jonathan Haidt’s Moral Foundations Theory, the United Nations Sustainable Development Goals (SDGs), and the Global Reporting Initiative (GRI) standards?
This question addresses a critical gap in the literature by focusing on the ethical dimensions of sustainability-focused project management frameworks. By analysing how these frameworks incorporate moral reasoning, the study aims to provide valuable insights into how project management education can be improved to better align with global sustainability standards and ethical imperatives.
The study employs a mixed-method approach, combining AI-driven content analysis through Retrieval-Augmented Generation (RAG) models with intercoder reliability testing to ensure consistency in the analysis. This methodology allows for an objective, comprehensive evaluation of the selected frameworks by extracting text data from each and assessing them against the moral foundations, SDGs, and GRI standards. Additionally, statistical tests, including t-tests, ANOVA, and regression, are used to identify significant differences between frameworks in terms of their alignment with these ethical dimensions.
The use of AI-assisted content analysis is an innovative and rigorous method that enhances objectivity in sustainability research. By employing a large-scale, data-driven approach to analyse the frameworks, this study overcomes the limitations of subjective qualitative assessments and contributes a more robust and reliable evaluation of project management training frameworks.
Each framework was scored across three major dimensions:
A scoring scale from 0 to 100 was used for each dimension, with higher scores indicating better integration of the respective principles.
The frameworks were scored based on their alignment with the six moral foundations:
The findings underscore the importance of embedding moral reasoning into sustainability-focused project management frameworks. GPM P5 stood out as the most ethically integrated framework, strongly aligning with Haidt’s moral foundations and the SDGs. In contrast, the Udemy course and IPMA ICB4 provided limited ethical depth and focused primarily on technical compliance. Erasmus provided a strong foundation in SDGs but lacked structured project management tools.
While GPM P5 and Erasmus demonstrated significant alignment with SDGs, only GPM P5 truly embedded sustainability as an ethical responsibility, going beyond compliance. The statistical results suggest that frameworks with higher alignment in moral foundations also performed better in their SDG and GRI scores.
This study provides a comprehensive evaluation of four sustainability-focused project management training frameworks, revealing significant differences in how they integrate ethical reasoning, SDG alignment, and GRI reporting standards. GPM P5 emerged as the most effective framework in promoting ethical sustainability, while others, such as Udemy, need to incorporate more depth in their ethical and sustainability teachings.
Future research should explore industry-specific applications of these frameworks, examining how different sectors integrate sustainability ethics into their project management practices. Additionally, further studies on the practical applications of these ethical principles in real-world project management would refine best practices for integrating sustainability in project management curricula.
Reference Literature
Objective:
To replicate the methodology used in this study for evaluating sustainability-focused project management frameworks.
Framework Selection:
Choose four project management training frameworks (commercial, academic, or institutional).
Data Collection:
Extract 35 randomly selected text segments from each framework, ensuring a balance between technical, theoretical, and practical content.
Text Coding:
Use a combination of AI-driven Retrieval-Augmented Generation (RAG) models and human coders to evaluate the text against the six moral foundations, SDGs, and GRI standards.
Statistical Analysis:
Conduct a factor analysis to group related SDG and GRI categories, then perform t-tests, ANOVA, and regression analyses as required.
Intercoder Reliability:
Ensure AI-human coder agreement by calculating Cohen’s Kappa (κ). Strive for κ ≥ 0.75 for strong reliability.
Reporting:
Present findings in tables, including numerical scores for each framework on each dimension. Provide detailed interpretations of statistical results.
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