Abstract
Management frameworks (MFs) and management system standards (MSSs) are essential tools for improving organisational management practises. They inherently include a range of fundamental building blocks that facilitate the creation of structured management systems. However, these building blocks have not yet been holistically identified or unified into a consilient taxonomy. Addressing this research gap, this study conducts a comprehensive review of 415 academic papers and theses, 47 ISO MSSs, and 79 MFs sourced from scholarly databases and official publications. Utilising a novel heuristic methodology, this study integrates a literature review, clustering, text mining analytics, and an expert review to develop a Consilient Building Block Taxonomy (CBBT). This taxonomy categorises the foundational components of MFs and MSSs, presenting them as a structured framework that unifies these elements into a cohesive system. By providing a systematic classification, the CBBT serves as a foundation for the development of a Unified Singular Management System (USMS). The proposed taxonomy enhances operational coherence, strategic alignment, and efficiency by consolidating the core aspects of diverse management systems. This study concludes with insights into how the CBBT can be leveraged to achieve integration and unification in management practises, offering significant potential for both research and practical applications.
Keywords:
management frameworks (MFs); management system standards (MSSs); Integrated Management System (IMS); ISO standards; best practises; management system (MS); systems theory; systems thinking; consilience thinking; consilience theory; Consilient Building Block Taxonomy (CBBT); Consilient Root Management Framework (CRMF) 1. Introduction
Industrial value creation is undergoing significant transformations as a result of intensified global competition, the rise of digitalisation, and the proliferation of complex regulatory landscapes. Within this context, organisations increasingly seek unified solutions that synthesise diverse management principles into more coherent and integrated approaches.
Seminal contributions in management theory have long advocated holistic methods for interpreting complex systems [], whereas Goldman and Callaghan [] propose a holistic synthesis of organisational theories, arguing for qualitative approaches that more accurately capture organisational complexity while more contemporary investigations emphasise cross-disciplinary integration [].
Within the organisational sphere, MFs are conceptual models shaping processes and decision-making flows, whereas MSSs provide codified, internationally recognised requirements facilitating alignment with industry benchmarks. Collectively, these constructs form the backbone of effective governance, enabling enterprises to standardise quality, environmental stewardship, information security, and other critical dimensions. For example, ISO 9001 [] emphasises quality management principles, while ISO 27001 [] addresses information security. Yet, despite their widespread application, as Heras-Saizarbitoria and Olivier Boiral emphasised [], MFs and MSSs remain predominantly isolated, leading to fragmentation and inefficiencies. This reality underscores the need for a consilient taxonomy of “building blocks”, capable of bridging disparate frameworks to foster a Unified Singular Management System (USMS). For this purpose, systems theory advocates for a holistic approach to understanding complex phenomena, emphasising the interconnectedness of system components rather than isolated analysis []. This perspective has been applied to management and organisational studies, with researchers recognising the need for integrated, cross-disciplinary methods to address complex problems [].
Current research studies [,] reveal a substantial gap in the literature. Although numerous frameworks and standards have been documented, their foundational building blocks have not been collectively identified or organised into a holistic reference structure. Scholars and practitioners confront a broad, complex, and heterogeneous array of guidance, often leading to duplication, incoherence, and difficulty in achieving optimal integration [,]. The rising emphasis on interdisciplinary collaboration, broader stakeholder engagement, and the pressing urgency of meeting multiple compliance requirements further heighten this necessity [,]. It is therefore highly relevant and of great value, for both research and practise-oriented communities, to exploit the full potential of a unified taxonomy that supports the development of a USMS.
This research addresses the aforementioned research demand with the following objectives: (1) to identify the core building blocks underpinning MFs and MSSs, (2) to develop a Consilient Building Block Taxonomy (CBBT) that consolidates these elements into a coherent framework, and (3) to provide a basis of how this taxonomy can guide the advancement of a Unified Singular Management System. In accomplishing these aims, this study contributes to the scholarly discourse by presenting a structured, integrative perspective that enhances understanding and streamlines organisational endeavours. For practitioners, the taxonomy offers a clear reference model that facilitates operational coherence, strategic alignment, and efficiency, ultimately advancing the maturity of integrated management practises.
The research paper is structured as follows. Following this introduction, Section 2 outlines the theoretical foundations and situates this study within the relevant literature. Section 3 describes the research methodology, detailing the rigorous approach undertaken to identify and refine the core building blocks. Section 4 presents the findings, introducing the CBBT and illustrating its hierarchical organisation. Section 5 offers a critical discussion, interpreting the implications of the taxonomy for both research and practical application. Finally, Section 6 concludes this study, reflecting on its limitations, proposing avenues for future research, and highlighting the potential impact of the CBBT on the advancement of integrated and unified management frameworks.
2. Theoretical Foundations
2.1. Consilience Approach, Theory, Thinking, and Intelligence
Consilience, derived from Whewell’s foundational principles [] and expanded by Wilson [], advocates for the convergence of diverse knowledge domains to create unified solutions. This theory highlights the interconnectedness of disciplines, offering a holistic approach to addressing complex challenges. In the context of management systems, consilience integrates theoretical insights from fields such as organisational behaviour and environmental science, providing a more comprehensive understanding of MFs and MSSs. Ryan and Deci [] emphasise the role of behavioural perspectives, while Tietenberg [] underscores ecological considerations. By synthesising these viewpoints, organisations can align their management strategies with broader societal and behavioural dimensions, enhancing the coherence and adaptability of their systems [,].
Consilient thinking, as articulated by Morin [], facilitates the integration of knowledge across disparate domains, fostering innovation and improving decision-making processes. In the context of management system standards (MSSs), this approach encourages interdisciplinary collaboration, enabling the development of standards that incorporate diverse sectoral insights, such as human resource management and ecological sustainability []. This methodological integration identifies synergies across disciplines, creating solutions that are theoretically robust and practically applicable. For example, Dawe and Schneider [] highlight that integrating local ecological knowledge into environmental assessments introduces nuanced, context-specific insights often overlooked by conventional frameworks. Consilient intelligence builds on the capacity of organisations to synthesise knowledge across disciplines, facilitating the identification of overarching structures that inform strategic decisions [,]. Fernández-Arias et al. [] and McNally et al. [] highlight the evolutionary basis of social intelligence, where cooperation plays a fundamental role in advancing cognitive abilities. In the context of management systems, this concept translates into knowledge-sharing platforms and interdisciplinary educational initiatives, enabling organisations to address complex and dynamic challenges effectively []. As Lucia [] observes, organisations that foster consilient intelligence are better positioned to integrate strategic objectives with operational practises, thereby enhancing governance, performance, and resilience.
2.2. General Systems Theory and Systems Thinking
Ludwig von Bertalanffy introduced General Systems Theory (GST) in the mid-20th century to offer a conceptual structure for the interpretation of interrelationships across diverse phenomena []. Following the recommendations of Boulding, GST establishes theoretical constructs that transcend disciplinary confines, enabling broad applicability in empirical inquiry []. GST, as proposed by Bertalanffy, provides a unifying framework for interdisciplinary science, viewing systems as interconnected elements within an environment []. GST has influenced various fields, including biology, medicine, and organisational theory [,]. Its adoption has encouraged holistic perspectives, moving beyond reductionist approaches []. In the organisational domain, GST furnishes an integrative lens through which complexity is examined, contributing to our understanding of diverse system dynamics and interventions []. It offers a holistic view of organisations as open systems, leading to new perspectives in organisational theory and management practises [,]. This standpoint supports the design of management frameworks that acknowledge intricate internal dynamics []. Applying GST to management and governance practises enables the formation of system-based concepts with direct utility in organisational system contexts [,]. Drawing upon GST, Tramonti et al. [] highlight that systems thinking provides a powerful framework for understanding complex interactions across various disciplines and levels of organisational systems. To ensure exhaustive conceptual coverage, the literature draws on established theoretical work, thereby guiding the development of unified management models. Contemporary scholarship continues to refine and extend GST, exploring its philosophical foundations and practical applications across various disciplines [], and offers novel contributions and systemic interventions [].
Systems thinking, aligned with GST, treats organisational phenomena as cohesive entities rather than discrete elements []. Monat et al. [] characterise this orientation as one that probes underlying structures and mental models, thereby informing a richer understanding of recurring organisational patterns. This approach is beneficial for identifying leverage points within complex systems and refining interventions that improve long-term outcomes []. In terms of technique, system dynamics—an integral part of systems thinking—employs computational simulations to examine evolving organisational issues [], enhancing predictive accuracy and strategic foresight.
The General Systems Model (GSM) inherently aligns with the general systems thinking perspective, providing a practical application of its core principles. While GST, as articulated by von Bertalanffy [], establishes the theoretical underpinnings of understanding interconnected systems, the GSM offers a concrete means of representing and analysing those systems. Crucially, the GSM does not merely depict isolated elements; it explicitly models the relationships, flows, and feedback loops that characterise a system’s dynamic behaviour [,]. This emphasis on interconnectedness and emergent properties, as highlighted by Mella [], underscores the GSM’s holistic approach, mirroring a central tenet of systems thinking. The clear definition of a system’s boundary, inputs, outputs, and processes within a GSM reinforces its systemic nature.
2.3. Related Work
Management systems (MSs) are formalised frameworks employed by organisations to coordinate the interrelated components of their operations with the aim of achieving strategic objectives such as the improvement in quality, efficiency, environmental performance, and health and safety standards []. These systems facilitate decision-making processes by providing critical information to executives, ensuring their alignment with organisational goals []. Kazmi and Naarananoja [] underscore the significance of structured management processes, emphasising the role of the Plan–Do–Check–Act (PDCA) model in fostering continuous improvement and enhancing organisational performance. The literature presents various tools and instruments designed to support management processes and ensure cohesion with broader corporate strategies. Denisia et al. [] highlight the importance of management control systems in enabling managers to navigate operational complexities and steer organisations effectively. Additionally, Tiller [] introduces a comprehensive management system that facilitates company-wide information dissemination. This system addresses critical cultural considerations, such as organisational characteristics and competitive dynamics, which exert considerable influence on operational outcomes. Carr and Nanni [] define a management system as a structured framework comprising policies, processes, and procedures designed to enable organisations to achieve objectives such as financial success, operational safety, product quality, and regulatory compliance. Salah et al. [] examine the Total Company-Wide Management System (TCWMS), offering insights into its role as a comprehensive foundation to achieve organisational goals. Da Silva [] further highlights the importance of integrating diverse management systems, asserting that such integration is essential for organisational resilience and vitality, with its success influenced by underlying principles and standards.
In contrast, management frameworks (MFs) serve as conceptual structures that support specific organisational objectives []. These frameworks are shaped by factors such as the organisational environment, as well as the planning, organising, leading, and controlling of activities []. Despite their utility, critiques persist; for example, Ruth [] argues that managerial competence frameworks may impose constraints that limit flexibility and adaptability within dynamic environments. To mitigate such challenges, Samuel [] introduces a conceptual framework for teaching management systems, distinguishing between organisational and market considerations to improve strategic decision-making processes. A comprehensive management framework integrates elements such as people, processes, technology, budget, leadership, facilities, and regulations []. This structure supports organisations in addressing uncertainties introduced by industrial revolutions, with a focus on human adaptability and performance []. Defining organisational structures is critical for the clarification of roles and responsibilities, thus improving operational efficiency []. O’Toole et al. also explore high-level processes like crowd management, incorporating concepts such as complexity and emergence. Similarly, Du Preez [] highlights the importance of contextualising knowledge networks and domains to effectively manage innovation within organisational systems.
An Integrated Management System (IMS) consolidates multiple management system standards (MSSs) into a unified framework, enabling organisations to streamline operations, improve efficiency, and ensure simultaneous compliance with various ISO standards []. This integration facilitates the alignment of key management components, such as environmental protection, industrial safety, and labour welfare, into a single operational structure. As noted by Malikova et al. [], an IMS reduces administrative redundancies while enhancing operational effectiveness through a cohesive and systematic approach. The implementation of an IMS requires the establishment of a comprehensive management policy, coupled with a structured assessment of the organisation’s degree of integration []. This involves a thorough analysis of organisational processes to confirm alignment with overarching strategic objectives. A holistic approach to integration simplifies procedures, eliminates redundancies, and fosters improved coordination across management domains, thereby supporting better strategic alignment. Research on IMSs reflects their interdisciplinary nature, incorporating diverse methodologies to address the complexities inherent in integrating multiple systems. Common approaches, as outlined in Appendix A Table A1, include case studies, comparative analyses, and mixed-method designs. This methodological diversity ensures that findings are both robust and applicable across various organisational contexts. By employing multiple research techniques, scholars contribute to the development of comprehensive strategies aimed at enhancing organisational efficiency, coherence, and adaptability.
3. Research Method
Our research employed a systematic six-stage methodology to identify, analyse, and validate consilient building blocks within MFs and MSSs. The methodology was designed to ensure a comprehensive exploration of the interconnected elements between MFs and MSSs, aligning closely with the research objectives. The process combines qualitative and quantitative approaches to examine these management structures holistically, providing a robust foundation for further analysis. Figure 1 illustrates the overall process, highlighting the sequential approach adopted to ensure thoroughness at each phase.
Figure 1.
Process of research method.
The six stages, summarised in (Table 1), encompass structured steps for the data collection, filtering, exploration, verification, and validation of consilient building blocks. This framework enables the identification of commonalities and synergies within diverse management systems, contributing to the development of a unified perspective on their integration.
Table 1.
Stages of research method.
In Stage 1, relevant data sources were systematically identified across three categories: management frameworks (MFs), management system standards (MSSs), and academic publications. For management frameworks, data were gathered from business and management webpages, academic databases, search engines, and professional organisations to ensure comprehensive coverage of widely adopted frameworks. Management system standards were obtained exclusively from the ISO management system standard database, which provided access to established standards with structured requirements. For academic publications, searches were conducted in Web of Science, Scopus, Emerald Insight, and Google Scholar, ensuring the inclusion of the peer-reviewed literature essential for theoretical and empirical insights.
In Stage 2, we applied a process to identify and filter relevant data sources across management frameworks (MFs), ISO management system standards (MSSs), and academic publications. For MFs, frameworks that lacked comprehensive management processes or requirements were excluded, focusing instead on those that aligned with the criteria of structured management systems. Similarly, for ISO MSSs, documents classified as drafts, amendments, technical reports, or guidelines were excluded to ensure the analysis was based solely on established standards. The academic publications were filtered by source type, retaining only peer-reviewed journal articles containing relevant keywords or their synonyms in the title. This filtering ensured the inclusion of high-quality, contextually relevant documents. A systematic review of the selected materials identified 79 MFs (in Appendix A Table A2), 47 ISO MSSs (in Appendix A Table A3), and 415 academic papers. Notable MFs included Agile Scrum, Balanced Scorecard, and ITIL, while ISO MSSs spanned key standards such as ISO 9001:2015 [], ISO 14001:2015 [], and ISO 27001:2022 []. Each source was evaluated for its potential to reveal building blocks that foster integration and unification. This stage provided a foundation for uncovering commonalities and intersections among frameworks and standards, forming the basis for an analysis of consilient building blocks.
In Stage 3, a heuristic method combining manual and automated techniques was employed to explore and identify consilient building blocks within MFs and MSSs (the selection reasoning for each tool, along with alternative methods, is detailed in Appendix A Table A4). The process began with text extraction using PyMuPDF [], selected for its reliable performance in accurately capturing content from various document formats. This was followed by preprocessing with spaCy [], chosen for its fast and efficient tokenisation, stop word removal, and lemmatisation capabilities, which refined the text for analysis. Semantic embeddings were generated using Sentence-BERT (sBERT) [,], as it effectively captures contextual meaning and semantic relationships, facilitating a deeper understanding of themes across the data. Clustering was conducted with HDBSCAN [] because of its ability to identify clusters of varying density without requiring the predefinition of the number of clusters, helping uncover areas of convergence. To model the topics within these clusters, Non-negative Matrix Factorisation (NMF) [,] was applied for its interpretability and robustness in revealing hidden patterns and relationships across frameworks and standards. Figure 2 and Figure 3 illustrate the clustering of documents in two and three dimensions, respectively, with the 3D view helping to reveal overlaps and relationships not easily visible in 2D.
Figure 2.
HDBSCAN clustering of documents in 2D.
Figure 3.
HDBSCAN clustering of documents in 3D.
The thematic clusters were summarised using the TextRank algorithm [], chosen for its unsupervised and efficient approach to extractive summarisation, providing a concise representation of the text without the need for extensive training data. Twelve experts from different countries, each with extensive experience in the expert review of MFs and MSSs (the selection criteria for expert reviewers and the detailed review process are outlined in Appendix A Table A5 and Appendix A Table A6, respectively), provided initial input on the reduction process: they guided reviews and alignment with established standards and refined this set to 84 items, which were then subjected to further validation. Expert insights and literature comparisons ensured the clarity, relevance, and applicability of the identified building blocks. This systematic approach laid the groundwork for the development of the Consilient Building Block Taxonomy, offering a structured means to unify and enhance management practises.
In Stage 4, to verify the practical relevance of the identified building blocks, a survey was designed and distributed to industry professionals across nine countries and 11 sectors, including finance, healthcare, technology services, manufacturing, and government. The survey comprised 91 questions, with 84 assessing the unique building blocks and 7 control questions ensuring data reliability. Participants rated the importance of each building block on a Likert scale from 0 to 10. This diverse sample provided robust insights into the real-world applicability of the building blocks, enriching their evaluation with cross-sectoral perspectives. The survey responses revealed a bimodal distribution (Figure 4), with ratings clustering around two distinct importance levels, mean1 at 6.15 and mean2 at 8.33, suggesting variability in the participants’ perceptions.
Figure 4.
Distribution of survey results for 84 candidate building blocks. The histogram illustrates the frequency of responses across different values, while the overlaid density curve (in blue) highlights the overall trend.
Statistical analysis indicated that 43% of the building blocks, amounting to 36 items, fell into the lower mode, prompting further scrutiny. After re-evaluation, a refined set of 55 building blocks was established, including those deemed significant during reassessment. Recognising their hierarchical nature, the blocks were organised into the Consilient Building Block Taxonomy (CBBT). This structure offers a framework for integrating building blocks within MFs and MSSs, aligning with this study’s objective to promote unified and structured management practises.
In Stage 5, the validation of the Consilient Building Block Taxonomy (CBBT) was carried out through detailed expert reviews (the selection criteria for expert reviewers and the detailed review process are outlined in Appendix A Table A5 and Appendix A Table A6, respectively) to ensure its relevance and robustness. Five reviewers from different countries, selected based on the criterion of more than 15 years of experience in the development of MFs and MSSs, provided qualitative feedback on the importance, clarity, and applicability of the building blocks. Instead of a structured survey, we gathered in-depth responses, allowing the experts to highlight their strengths, drawbacks, and any overlooked elements. This iterative process allowed us to refine the definitions, hierarchy, and relationships within the CBBT, enhancing its alignment with industry best practises.
The experts’ feedback revealed varied perspectives, influenced by their professional backgrounds, with some favouring approaches aligned with ISO Integrated Management Systems (IMSs). Recognising these inherent biases was integral to maintaining the neutrality and integrity of the validation process. Balancing the diverse viewpoints against the overarching objectives of the research, we reduced the number of Consilient Building Blocks from 55 to 48 and finalised the CBBT, as shown in Figure 5. The resulting taxonomy provides a conceptually grounded and practically useful structure for implementing a Unified Singular Management System (USMS), supporting organisations in consolidating their management practises to achieve greater operational efficiency and strategic alignment.
Figure 5.
Consilient Building Block Taxonomy hierarchy.
4. Findings
As a culmination of our research, we introduce the Consilient Building Block Taxonomy (CBBT), a comprehensive framework structured across two hierarchical levels. The CBBT encompasses a total of 48 building blocks: 15 at the top level and 33 at the second level, as illustrated in Figure 5 (derived from the research methodology). Table 2 provides a textual breakdown of each building block, with comprehensive descriptions of their characteristics and function within a Unified Singular Management System. This hierarchical structuring not only reflects the depth and breadth of our findings but also provides a taxonomy to understand and apply consilient building blocks within the realms of MFs and MSSs.
Table 2.
Consilient Building Block Taxonomy.
The CBBT is designed to assist organisations in integrating consilient building blocks into their management practises effectively. By categorising building blocks into hierarchical levels, the taxonomy facilitates a nuanced understanding of each element and its interrelationships within the overall framework.
One of the foundational building blocks at the top level is the Model of Management System (MMS) within the Unified Singular Management Framework (USMF). The MMS signifies the core fundamentals that form the basis of all management system capabilities, resources, and practises within an organisation. These fundamentals include outcomes, norms, processes, information, and technology. Acting as a strategic guide, the MMS steers the design, deployment, and continuous refinement of management systems to ensure alignment with organisational objectives.
5. Discussion
Despite the critical need for an Unified Singular Management Framework (USMF) in organisations, many still lack one [,]. Practitioners struggle to convey the importance of MFs and MSSs to senior management, who often remain unaware of the necessity for a formally defined USMF and Unified Singular Management System (USMS) recognised by all staff [,].
Management systems (MSs) and management frameworks (MFs) are frequently misconstrued as mere organisational structures, policies, or compliance checklists, culminating in ISO certifications or adherence to best practises [,,]. This misinterpretation endures, with alternative perspectives dismissed as theoretical and relegated to other departments []. Moreover, many managers mistakenly equate a management system with software platforms—a misconception evident in the media and seminars—which prompted this research [].
Although the ISO acknowledges the significance of management systems, it has yet to produce an IMS standard. Organisations often replicate outputs for each ISO certification across different departments, causing duplication and inefficiency—a widely recognised but seldom addressed issue. Nonetheless, there is growing awareness of the redundancies in efforts towards convergence and integration.
This study provides a novel contribution by not only identifying the need for a USMF but also systematically categorising its core components. The research findings demonstrate that existing frameworks are often implemented in isolation, leading to inefficiencies and inconsistencies across organisations. By developing the Consilient Building Block Taxonomy (CBBT), this study proposes a structured, unified approach that integrates diverse frameworks into a cohesive management structure. The taxonomy serves as a reference model for organisations seeking to optimise their management systems by reducing redundancy and enhancing operational coherence.
Adapting best practises presents considerable challenges, especially concerning value–cost considerations. Implementing disparate best practises can create silos, exposing companies to inefficiencies. For instance, organisations simultaneously utilising PMBOK for project management [] and Agile methodologies, striving for COBIT compliance [], adopting ITIL practises [], progressing in CMMI 1.3 [], and adapting standards like ISO 27001 [], ISO 22301 [], and ISO 9001 [] may experience chaos that adversely affects capability and resource efficiency.
Regulatory bodies often issue overlapping regulations concurrently, with trends in areas like privacy, security, cyber resilience, and sustainability—for example, GDPR and the Cyber Resilience Act [,,]. These regulations frequently require organisations to establish new MSs or MFs, contrary to maintaining a USMS, leading to multiple overlapping systems and steering structures such as security, risk, and resilience committees, thereby increasing complexity and inefficiency.
The rise of MFs and MSSs as an industry has introduced further challenges. Individual certifications have become essential for professionals, alongside organisational certifications—whether pursued voluntarily or mandated. Training programmes, auditors, and credential providers expand the industry’s stakeholder network, significantly contributing financially. Organisations maintaining a USMS face pressure and scrutiny from this industry as they strive to uphold their systems.
By consolidating fragmented frameworks into a single integrated approach, the CBBT reduces structural complexity and enhances cross-functional alignment within organisations. This is particularly critical in industries where regulatory pressures and evolving standards demand adaptive yet structured responses. The findings indicate that a unified taxonomy can improve an organisation’s ability to manage compliance requirements, optimise resources, and sustain a strategic focus without being burdened by redundant efforts.
A ’Root Framework’ can be likened to the stem cell of an organisation’s management system. This research aims to offer unique value in this field. Although this innovative approach may initially encounter scepticism from academics and industry professionals, it is anticipated to pioneer new paradigms in understanding and applying MFs and MSSs.
While it may be optimistic to assert that this research provides absolute outcomes, the extensive range of academic papers, theses, ISO MSSs, MFs, and best practises used as inputs demonstrates its comprehensive scope. The development of a heuristic methodology, carefully articulated, merges substantial data using various machine learning techniques. To ascertain the research’s integrity and validity, verification and validation were conducted through engagements with experts and specialist practitioners across a spectrum of industries via surveys, as well as directly with top-tier experts selected for their domain expertise.
One of the key findings of this study is the demonstrated need for an interdisciplinary approach in constructing a unified framework. The results indicate that while many standards and best practises exist, they are often developed within isolated domains, limiting their broader applicability. By applying a heuristic methodology enriched with machine learning techniques, this research not only refines the categorisation of core building blocks but also establishes a dynamic structure that can evolve alongside industry needs.
This demonstrates that scientific and objective steps were taken to ensure the research has a high-quality and reliable output.
6. Conclusions
This research developed the CBBT, providing a comprehensive compilation of consilient building blocks to unify MFs and MSSs. The CBBT serves as a crucial tool to guide organisations towards creating a Unified Singular Management Framework (USMF), addressing fragmentation within Management System Practices (MSPs). By harmonising various MFs and MSSs under a Consilient Root Management Framework (CRMF), the CBBT offers an archetype for a more consolidated approach to organisational management.
Our findings have significant theoretical implications, particularly in consilience and management system integration. By applying consilience principles, we demonstrate that a unified approach can emerge from diverse disciplinary insights. This extends systems thinking, showing how a holistic view enhances the integration and functionality of management systems. The CBBT exemplifies the practical viability of consilience in management theory, actualising interdisciplinary integration within organisational structures.
Practically, the CBBT has substantial impacts for organisations. Using the CBBT as a foundational reference, organisations can establish a Unified Singular Management System (USMS). Its benefits include streamlined processes, strengthened strategic direction, enhanced agility, and cost savings through reduced redundancy. These implications underscore the CBBT’s significance as a transformative tool in unifying management systems.
While our heuristic methodology is robust and adaptable to diverse management environments, certain limitations exist. The varying complexity across organisational structures and industries may affect the CBBT’s applicability. Constraints related to the depth of empirical data for certain frameworks were also acknowledged. Despite these, the methodology’s adaptability highlights its potential for broader application in future research.
Industry stakeholders—including authorities, auditors, developers, consultants, trainers, educational institutions, and certification bodies—are encouraged to integrate our insights into their practises. The CBBT acts as a catalyst for further innovation, guiding the development of new standards and the refinement of existing ones. Stakeholders should collaborate to promote and facilitate the CBBT’s widespread adoption, providing support to organisations aiming to employ this unified and consilient approach. Embracing this paradigm shift towards consilient management can lead to a future where integrating diverse management building blocks becomes standard practise. This research aims to bridge the current gaps in the literature and in practise, proposing the CRMF as an effective and adaptable blueprint for navigating organisational complexities.
This study fills a notable gap in the academic literature, offering a pragmatic taxonomy to guide organisations towards a unified and consilient approach to management. Academics and scholars are invited to further this inquiry, enhancing the maturity of MFs and MSSs. The CBBT provides a basis for the theoretical exploration and examination of its applicability in various organisational environments, improving its effectiveness and adaptability in addressing challenges.
Future research should continue exploring the CBBT’s application and refinement. Developing and implementing the CRMF across different contexts presents extensive opportunities for academic exploration. Subsequent studies should focus on the empirical testing of the CBBT within varied organisational settings, exploring its scalability and versatility. Interdisciplinary collaboration can enrich the consilient approach proposed, contributing significantly to the evolution of MFs and MSSs. These efforts are anticipated to offer organisations a more unified, comprehensive approach to management in an era of increasing complexity and interconnectivity.
In conclusion, introducing the CBBT represents a significant stride towards unifying MSPs. Fostering a consilient approach within organisational management suggests a future where management systems are integrated and adaptable to modern challenges. The envisioned CRMF holds promise as a comprehensive guide for both academic inquiry and practical application in designing and executing MFs and MSSs. Through this research, we have charted a pathway towards integrating consilience principles into organisational management, potentially revolutionising how organisations conceive and implement MFs and MSSs. We encourage practitioners and academics to adopt and further develop the CBBT, laying the groundwork for a new era of integrated, unified, and cohesive management strategies.
Author Contributions
Conceptualization, Y.G.; methodology, Y.G.; software, Y.G.; validation, Y.G. and M.N.A.; formal analysis, Y.G.; investigation, Y.G.; resources, Y.G.; data curation, Y.G.; writing—original draft preparation, Y.G.; writing—review and editing, Y.G. and M.N.A.; visualization, Y.G.; supervision, M.N.A.; project administration, Y.G.; funding acquisition, Y.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data available on request due to restrictions (e.g., privacy, legal or ethical reasons). Certain parts of the dataset contain proprietary information protected by intellectual property agreements, as well as staging data not yet publicly disclosed. In addition, some data include personal survey responses with potentially sensitive or controversial content, requiring confidentiality. Access to these materials may be granted on a case-by-case basis upon reasonable request to the corresponding author, subject to approval of an appropriate data use agreement and adherence to relevant legal and ethical obligations.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Methodologies used in the literature.
Table A1.
Methodologies used in the literature.
| Methodology | Reference Sources |
|---|---|
| Implementation/Application | [,,,,,,,] |
| Literature Review | [,,,,,,,,,,,,,,,,,] |
| Literature Review and Design | [,,,,,,,,,,] |
| Mixed Methods (Survey, Analysis, Assessment, Case Studies) | [,,,,,,,,,,,,,,,,,,,,,,,,,] |
| Model Development | [,,,,,,,,,,,,,,,,,,,,,,] |
| Qualitative Research | [,,,,,,,,,,,,,,,,,,,] |
| Quantitative Analysis (Statistical) | [,,,,,,,,,,,] |
| Survey Research | [,,,,,,,,,,,,,,,,,,,,,] |
| Survey Research with Expert Input | [,,,] |
Table A2.
Management frameworks (best practices).
Table A2.
Management frameworks (best practices).
| No | Name | Issued by |
|---|---|---|
| 1 | Agile Scrum | Ken Schwaber, Jeff Sutherland |
| 2 | BABOK v3 | IIBA International Institute of Business Analysis (North York, ON, Canada) |
| 3 | Balanced Scorecard (BSC) | Robert Kaplan and David Norton |
| 4 | BPM CBOK v4.0 | Association of Business Process Management Professionals International (Pensacola, FL, USA) |
| 5 | Business Process Execution Language (BPEL) | OASIS (Woburn, MA, USA) |
| 6 | Capability Maturity Model Integration (CMMI) | Software Engineering Institute (SEI) |
| 7 | CIS Controls v8 | Center for Internet Security (Pittsburgh, PA, USA) |
| 8 | COBIT v2019 | ISACA (Schaumburg, IL, USA) |
| 9 | COBIT v4_1 | ISACA (Schaumburg, IL, USA) |
| 10 | COBIT v5 | ISACA(Schaumburg, IL, USA) |
| 11 | Continuous integration and continuous delivery (CI/CD) | Unknown |
| 12 | Customer Relationship Management (CRM) | Various |
| 13 | Deming Cycle (PDCA) | W. Edwards Deming |
| 14 | DevOps | Patrick Debois |
| 15 | DMAIC (Define, Measure, Analyze, Improve, Control) | Motorola, Bill Smith (Chicago, IL, USA) |
| 16 | DMBOK_v2 | DAMA INTERNATIONAL (Vancouver, BC, Canada) |
| 17 | DSDM (Dynamic Systems Development Method) | DSDM Consortium (rebranded as Agile Business Consortium (ABC)) (Kent, United Kingdom) |
| 18 | eSCM-CL | ITSqc at Carnegie Mellon University (Pittsburgh, PA, USA) |
| 19 | eSCM-SP | ITSqc at Carnegie Mellon University (Pittsburgh, PA, USA) |
| 20 | eTOM v23 | TM Forum (Parsippany, NJ, USA) |
| 21 | Event-Driven Process Chain (EPC) | IDS Scheer (Saarbrücken, Germany) |
| 22 | Extreme programming (XP) | Kent Beck |
| 23 | GE/McKinsey Matrix | McKinsey & Company (New York City, NY, USA), GE (Boston, MA, USA) |
| 24 | Holacracy | Brian J. Robertson |
| 25 | Hoshin Kanri (Policy Deployment) | Yoji Akao |
| 26 | IT4IT | The Open Group (Berkshire, United Kingdom) |
| 27 | ITIL v2011 | AXELOS (London, United Kingdom) |
| 28 | ITIL v3 | AXELOS (London, United Kingdom) |
| 29 | ITIL v4 | AXELOS (London, United Kingdom) |
| 30 | ITSCM (IT Service Continuity Management) | British Standards Institution (BSI) (London, United Kingdom) |
| 31 | Juran’s Quality Trilogy | Joseph M. Juran |
| 32 | Just-in-Time (JIT) | Toyota (Aichi Prefecture, Japan) |
| 33 | Kaizen | Toyota—Masaaki Imai (Aichi Prefecture, Japan) |
| 34 | Kanban System | Toyota (Aichi Prefecture, Japan) |
| 35 | Kepner–Tregoe Problem Solving and Decision Making (PSDM) | Charles Kepner and Benjamin Tregoe |
| 36 | Kotter’s 8-Step Change Model | John P. Kotter |
| 37 | Large Scale Scrum (LeSS) | Craig Larman and Bas Vodde |
| 38 | Lean Canvas | Ash Maurya |
| 39 | Lean Construction | Glenn Ballard and Greg Howell |
| 40 | Lean Six Sigma | Motorola, Bill Smith (Chicago, IL, USA) |
| 41 | MoP (Management of Portfolios) | AXELOS (London, United Kingdom) |
| 42 | MoV (Management of Value) | AXELOS (London, United Kingdom) |
| 43 | NIST Cybersecurity Framework (CSF) 2.0 | National Institute of Standards and Technology (U.S.) (Gaithersburg, MD, USA) |
| 44 | NIST SP 800-53 Rev. 5 (Security and Privacy Controls for Information Systems and Organizations) | NIST (Gaithersburg, MD, USA) |
| 45 | Object-Oriented Analysis and Design (OOAD) | Grady Booch |
| 46 | OODA Loop (Observe, Orient, Decide, and Act) | John Boyd |
| 47 | OPM3 (Organizational Project Management Maturity Model) | Project Management Institute (PMI) (Newtown Square, PA, USA) |
| 48 | Pareto Principle (80/20 Rule) | Vilfredo Pareto |
| 49 | PCI DSS v3.2.1 | PCI Security Standards Council (Wakefield, MA, USA) |
| 50 | PDCA Cycle (Plan, Do, Check, Act) | W. Edwards Deming |
| 51 | PERT (Program Evaluation and Review Technique) | US Department of Defence (Arlington, VA, USA) |
| 52 | PESTEL Analysis | Francis Aguilar |
| 53 | PMBOK v7 | PMI Project Management Institute (Newtown Square, PA, USA) |
| 54 | Porter’s Five Forces | Michael Porter |
| 55 | Porter’s Diamond Model | Michael Porter |
| 56 | Porter’s Generic Strategies | Michael Porter |
| 57 | Porter’s Value Chain | Michael Porter |
| 58 | Pyramid Principle | Barbara Minto |
| 59 | RACI Matrix | Various |
| 60 | Rapid Application Development (RAD) | James Martin |
| 61 | RiskIT | ISACA (Schaumburg, IL, USA) |
| 62 | RUP (Rational Unified Process) | Rational Software (now part of IBM) (Armong, NY, USA) |
| 63 | Scaled Agile Framework (SAFe) | Dean Leffingwell—Scaled Agile, Inc. (Boulder, CO, USA) |
| 64 | Scrum | Jeff Sutherland and Ken Schwaber |
| 65 | SIAM (Service Integration and Management) | Scopism (York, United Kingdom) |
| 66 | Systems Development Life Cycle (SDLC) | Various |
| 67 | Systems Thinking | Various |
| 68 | TMMi Reference Model—R1.3 | The TMMi Foundation (Chester, United Kingdom) |
| 69 | TOGAF v10 (The Open Group Architecture Framework) | The Open Group (Berkshire, United Kingdom) |
| 70 | Total Productive Maintenance (TPM) | Seiichi Nakajima |
| 71 | Total Quality management (TQM) | W. Edwards Deming |
| 72 | ValIT | ISACA (Schaumburg, IL, USA) |
| 73 | Value Proposition Canvas | Alexander Osterwalder |
| 74 | Value Stream Mapping (VSM) | Toyota, Mike Rother and John Shook (Aichi Prefecture, Japan) |
| 75 | Viable System Model (VSM) | Stafford Beer |
| 76 | V-Model | US Department of Defense (Arlington, VA, USA) |
| 77 | Voice of the Customer (VOC) | Unknown |
| 78 | Waterfall Model | Winston W. Royce |
| 79 | Zachman Framework | John A. Zachman |
Table A3.
Explored and analysed ISO management system standards.
Table A3.
Explored and analysed ISO management system standards.
| Standard | Standard Name | URL | |
|---|---|---|---|
| 1 | ISO 7101:2023 [] | Healthcare organization management—Management systems for quality in healthcare organizations—Requirements | https://www.iso.org/standard/81647.html (accessed on 28 December 2024) |
| 2 | ISO 9001:2015 [] | Quality management systems—Requirements | https://www.iso.org/standard/62085.html (accessed on 28 December 2024) |
| 3 | ISO 9004:2018 [] | Quality management—Quality of an organization—Guidance to achieve sustained success | https://www.iso.org/standard/70397.html (accessed on 28 December 2024) |
| 4 | ISO 10012:2003 [] | Measurement management systems—Requirements for measurement processes and measuring equipment | https://www.iso.org/standard/26033.html (accessed on 28 December 2024) |
| 5 | ISO 13485:2016 [] | Medical devices—Quality management systems—Requirements for regulatory purposes | https://www.iso.org/standard/59752.html (accessed on 28 December 2024) |
| 6 | ISO 14001:2015 [] | Environmental management systems—Requirements with guidance for use | https://www.iso.org/standard/60857.html (accessed on 28 December 2024) |
| 7 | ISO 14298:2021 [] | Graphic technology—Management of security printing processes | https://www.iso.org/standard/80070.html (accessed on 28 December 2024) |
| 8 | ISO 16000-40:2019 [] | Indoor air—Part 40: Indoor air quality management system | https://www.iso.org/standard/70424.html (accessed on 28 December 2024) |
| 9 | ISO 18788:2015 [] | Management system for private security operations—Requirements with guidance for use | https://www.iso.org/standard/63380.html (accessed on 28 December 2024) |
| 10 | ISO/IEC 19770-1:2017 [] | Information technology—IT asset management—Part 1: IT asset management systems—Requirements | https://www.iso.org/standard/68531.html (accessed on 28 December 2024) |
| 11 | ISO/IEC 20000-1:2018 [] | Information technology—Service management—Part 1: Service management system requirements | https://www.iso.org/standard/70636.html (accessed on 28 December 2024) |
| 12 | ISO/CD 20001.2 [] | Food loss and waste management system—Requirements for the minimization of food loss and waste across the food value chain | https://www.iso.org/standard/85052.html (accessed on 28 December 2024) |
| 13 | ISO 20121:2024 [] | Event sustainability management systems—Requirements with guidance for use | https://www.iso.org/standard/86389.html (accessed on 28 December 2024) |
| 14 | ISO 21001:2018 [] | Educational organizations—Management systems for educational organizations—Requirements with guidance for use | https://www.iso.org/standard/66266.html (accessed on 28 December 2024) |
| 15 | ISO 21101:2014 [] | Adventure tourism—Safety management systems—Requirements | https://www.iso.org/standard/54857.html (accessed on 28 December 2024) |
| 16 | ISO 21401:2018 [] | Tourism and related services—Sustainability management system for accommodation establishments—Requirements | https://www.iso.org/standard/70869.html (accessed on 28 December 2024) |
| 17 | ISO 22000:2018 [] | Food safety management systems—Requirements for any organization in the food chain | https://www.iso.org/standard/65464.html (accessed on 28 December 2024) |
| 18 | ISO 22163:2023 [] | Railway applications—Railway quality management system—ISO 9001:2015 and specific requirements for application in the railway sector | https://www.iso.org/standard/79427.html (accessed on 28 December 2024) |
| 19 | ISO 22301:2019 [] | Security and resilience—Business continuity management systems—Requirements | https://www.iso.org/standard/75106.html (accessed on 28 December 2024) |
| 20 | ISO 24518:2015 [] | Activities relating to drinking water and wastewater services—Crisis management of water utilities | https://www.iso.org/standard/64118.html (accessed on 28 December 2024) |
| 21 | ISO/IEC 27001:2022 [] | Information security, cybersecurity and privacy protection—Information security management systems—Requirements | https://www.iso.org/standard/27001 (accessed on 28 December 2024) |
| 22 | ISO/IEC 27003:2017 [] | Information technology—Security techniques—Information security management systems—Guidance | https://www.iso.org/standard/63417.html (accessed on 28 December 2024) |
| 23 | ISO/IEC 27010:2015 [] | Information technology—Security techniques—Information security management for inter-sector and inter-organizational communications | https://www.iso.org/standard/68427.html (accessed on 28 December 2024) |
| 24 | ISO/IEC 27014:2020 [] | Information security, cybersecurity and privacy protection—Governance of information security | https://www.iso.org/standard/74046.html (accessed on 28 December 2024) |
| 25 | ISO 28000:2022 [] | Security and resilience—Security management systems—Requirements | https://www.iso.org/standard/79612.html (accessed on 28 December 2024) |
| 26 | ISO 28001:2007 [] | Security management systems for the supply chain—Best practices for implementing supply chain security, assessments and plans—Requirements and guidance | https://www.iso.org/standard/45654.html (accessed on 28 December 2024) |
| 27 | ISO 29001:2020 [] | Petroleum, petrochemical and natural gas industries—Sector-specific quality management systems—Requirements for product and service supply organizations | https://www.iso.org/standard/67773.html (accessed on 28 December 2024) |
| 28 | ISO 30000:2009 [] | Ships and marine technology—Ship recycling management systems—Specifications for management systems for safe and environmentally sound ship recycling facilities | https://www.iso.org/standard/51244.html (accessed on 28 December 2024) |
| 29 | ISO 30301:2019 [] | Information and documentation—Management systems for records—Requirements | https://www.iso.org/standard/74292.html (accessed on 28 December 2024) |
| 30 | ISO 30401:2018 [] | Knowledge management systems—Requirements | https://www.iso.org/standard/68683.html (accessed on 28 December 2024) |
| 31 | ISO 31101:2023 [] | Robotics—Application services provided by service robots—Safety management systems requirements | https://www.iso.org/standard/80886.html (accessed on 28 December 2024) |
| 32 | ISO 34101-1:2019 [] | Sustainable and traceable cocoa—Part 1: Requirements for cocoa sustainability management systems | https://www.iso.org/standard/64765.html (accessed on 28 December 2024) |
| 33 | ISO 35001:2019 [] | Biorisk management for laboratories and other related organisations | https://www.iso.org/standard/71293.html (accessed on 28 December 2024) |
| 34 | ISO 37001:2016 [] | Anti-bribery management systems—Requirements with guidance for use | https://www.iso.org/standard/65034.html (accessed on 28 December 2024) |
| 35 | ISO 37101:2016 [] | Sustainable development in communities—Management system for sustainable development—Requirements with guidance for use | https://www.iso.org/standard/61885.html (accessed on 28 December 2024) |
| 36 | ISO 37301:2021 [] | Compliance management systems—Requirements with guidance for use | https://www.iso.org/standard/75080.html (accessed on 28 December 2024) |
| 37 | ISO 39001:2012 [] | Road traffic safety (RTS) management systems—Requirements with guidance for use | https://www.iso.org/standard/44958.html (accessed on 28 December 2024) |
| 38 | ISO 41001:2018 [] | Facility management—Management systems—Requirements with guidance for use | https://www.iso.org/standard/68021.html (accessed on 28 December 2024) |
| 39 | ISO 41015:2023 [] | Facility management—Influencing organizational behaviours for improved facility outcomes | https://www.iso.org/standard/68171.html (accessed on 28 December 2024) |
| 40 | ISO/IEC 42001:2023 [] | Information technology—Artificial intelligence— Management system | https://www.iso.org/standard/81230.html (accessed on 28 December 2024) |
| 41 | ISO 44001:2017 [] | Collaborative business relationship management systems—Requirements and framework | https://www.iso.org/standard/72798.html (accessed on 28 December 2024) |
| 42 | ISO 45001:2018 [] | Occupational health and safety management systems—Requirements with guidance for use | https://www.iso.org/standard/63787.html (accessed on 28 December 2024) |
| 43 | ISO 46001:2019 [] | Water efficiency management systems—Requirements with guidance for use | https://www.iso.org/standard/68286.html (accessed on 28 December 2024) |
| 44 | ISO 50001:2018 [] | Energy management systems—Requirements with guidance for use | https://www.iso.org/standard/69426.html (accessed on 28 December 2024) |
| 45 | ISO 55001:2024 [] | Asset management—Asset management system—Requirements | https://www.iso.org/standard/83054.html (accessed on 28 December 2024) |
| 46 | ISO 56001:2024 [] | Innovation management system—Requirements | https://www.iso.org/standard/79278.html (accessed on 28 December 2024) |
| 47 | ISO 56002:2019 [] | Innovation management—Innovation management system—Guidance | https://www.iso.org/standard/68221.html (accessed on 28 December 2024) |
Table A4.
Summary of steps for exploring and identifying building block stage.
Table A4.
Summary of steps for exploring and identifying building block stage.
| Step | Description | Tool | Tool Selection Reason |
|---|---|---|---|
| 1 Text Extraction | Extract text from documents, focusing on structured data extraction. | PyMuPDF | PyMuPDF is chosen due to its speed, efficiency, and structured text extraction capabilities across diverse document types. Compared to PDFMiner, PyMuPDF is faster and more efficient while handling embedded text better. pdfplumber, which builds on PDFMiner, offers more flexibility for table extraction but is not as optimised for general text extraction. pypdfium2 is another high-performance tool but is more focused on rendering rather than precise text extraction. Apache Tika is a broader tool that extracts text, metadata, and content from multiple file types, but it is heavier and may require additional setup. PyMuPDF provides a good balance of performance and ease of use, making it a reliable choice for text extraction []. |
| 2 Preprocessing | Tokenize, remove stop words, and perform lemmatization on extracted text. | spaCy | spaCy is selected due to its efficient and scalable pipeline, making it well suited for large-scale text processing. Compared to NLTK, which offers extensive NLP tools, spaCy is optimised for speed and deep learning applications. StanfordNLP provides high accuracy but is slower and requires more computational resources. OpenNLP is another alternative but lacks the same level of ease of use and integration as spaCy. GATE is designed for information extraction and may be more complex for general NLP tasks. SpaCy provides a balance of speed, accuracy, and usability, making it an ideal choice for preprocessing []. |
| 3 Feature Extraction | Convert preprocessed text into semantic text embeddings. | Sentence-BERT (sBERT) | sBERT is chosen for its ability to generate context-aware sentence embeddings while maintaining efficiency. Compared to Word2Vec, FastText, and GloVe, which generate word-level embeddings without considering word order, sBERT captures full sentence meaning. TF-IDF, while useful for keyword extraction, does not encode semantic relationships. Universal Sentence Encoder (USE) is another strong alternative but is computationally heavier and does not always outperform sBERT in semantic similarity tasks. sBERT provides state-of-the-art sentence embeddings while being optimised for speed and scalability []. |
| 4 Clustering | Identify clusters of documents discussing similar topics. | HDBSCAN | HDBSCAN is chosen because it handles variable density clustering and automatically identifies noise points. Unlike K-Means, which assumes spherical clusters and requires the number of clusters beforehand, HDBSCAN is density-based and requires only the minimum cluster size as input. DBSCAN is similar but struggles with clusters of varying density. OPTICS improves on DBSCAN but does not provide a straightforward flat clustering output. Agglomerative Clustering is a good hierarchical alternative but is more sensitive to noise and is computationally expensive for large datasets. HDBSCAN combines density-based clustering and hierarchical tree construction, making it robust for discovering natural groupings without needing to set a global distance threshold []. |
| 5 Topic Modelling | Refine understanding of topics within clusters through advanced topic modelling. | Non-negative Matrix Factorization (NMF) | NMF is selected for its ability to produce interpretable and semantically meaningful topic representations. Compared to LDA, which assumes probabilistic topic distributions, NMF directly identifies latent topics without probabilistic assumptions, making the results easier to interpret. LSA, which uses Singular Value Decomposition (SVD), often introduces negative values that can complicate interpretation. BERTopic is a modern alternative that leverages transformers, but it can be computationally expensive. NMF strikes a good balance between interpretability, computational efficiency, and scalability []. |
| 6 Summarisation | Generate summaries for each cluster to extract concise descriptions and determine candidate building block universe set via keyword summarisation. | TextRank Algorithm | TextRank is selected because it is unsupervised, computationally efficient, and language-agnostic, making it a practical choice for extractive summarization tasks. Compared to BART and GPT-based summarization, TextRank does not require training data and is much lighter computationally. LexRank, while also unsupervised, focuses on sentence connectivity and may overlook semantic richness in some contexts. TextRank’s graph-based approach effectively captures sentence importance based on the overall structure of the text []. |
| 7 Building Block Universe Set Reduction and Naming | Perform reduction for candidate building block universe set and validate and officially name the consilient building blocks of MFs and MSSs through expert review and standard-based naming. | Expert review, cross-referencing |
Table A5.
Expert reviewer selection criteria.
Table A5.
Expert reviewer selection criteria.
| No | Criteria | Description |
|---|---|---|
| 1 | Professional Experience | Minimum 15 years in management frameworks (MFs) and management system standards (MSSs), evidenced by publications, certifications, or leadership roles. |
| 2 | Thematic Expertise | Expertise in areas relevant to CBBT, such as interoperability frameworks, management system design, or cross-industry standardisation. |
| 3 | Critical Evaluation Skills | Experience in reviewing taxonomies, ontologies, or regulatory frameworks to provide actionable feedback. |
Table A6.
Process of expert review conduct.
Table A6.
Process of expert review conduct.
| No | Phase | Description |
|---|---|---|
| 1 | Initial Evaluation | Experts independently assessed CBBT using a structured questionnaire (10-point Likert scale), rating importance, clarity, and applicability. Open-ended feedback was collected. |
| 2 | Consensus-Building Workshop | Two virtual workshops facilitated discussions to reconcile scores, clarify ambiguities, and refine building blocks. Anonymised responses were shared beforehand. |
| 3 | Iterative Refinement | CBBT was revised iteratively based on aggregated feedback, with a final confirmation round from all experts to validate adjustments. |
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