The Organization of the Future—An Integrated, Transdisciplinary Paradigm Shift
Abstract
1. Introduction
2. Related Work
3. Study Scope
- SRQ1: How can the difference between organizational paradigms be determined?
- SRQ2: What can serve as comparable paradigm representations?
- SRQ3: Can archetypal societal paradigms be mapped as shared mental model representations? How?
- SRQ4: How can these maps be compared to answer the main research question?
- SRQ5: What are the underlying ontological shifts that can be inferred from a comparison?
- SRQ6: What implications do the study outcomes have for theory and practice of organizational change?
4. Conceptual Development for the Study
4.1. Complexity Theory Perspective and Organizational Change
4.2. Social Constructionism and the Role of Language
4.3. Cognition and Mental Models
4.4. Social Construction of Organizational Kuhnian-Type Paradigms
4.5. Mental Model Representations (Cognitive/Concept Maps and Domain Ontologies)
4.6. Researcher Meta-Paradigm
5. Methodology
- Embracing the subjectivity of the researcher in an unavoidable embedded research context.
- Navigating an ongoing interaction between the researcher’s own lived experiences, academic theory and the context of the inquiry.
- Applying a balance between rigor and creativity.
- The researcher being open to emergence and evolving the approach and herself through the process.
5.1. STEP 1: Compiling a Set of Fundamental (Ontological) Questions
5.2. STEP 2: Creating a Shared Concept Map for the Traditional Business Organization (TBO)
5.2.1. Step 2.1: Corpus Linguistics Analysis
5.2.2. Step 2.2: Content Analysis
5.2.3. Step 2.3: Integrating the Results from Steps 2.1 and 2.2 and Creating a Concept Map and Narrative
5.3. STEP 3: Creating a Shared Concept Map and Narrative for an Emerging Progressive Future Business Organization (PFBO)
5.3.1. Step 3.1: Content Analysis
5.3.2. Step 3.2: Themes and Concepts Verification
5.3.3. Step 3.3: Creating a Concept Map with Its Corresponding Narrative
5.4. STEP 4: Concept Maps (And Narratives) Qualitative Comparison
5.5. STEP 5: Ontological Differentiation Between Comparable Statements
5.6. Methodological Validity
- A Fundamental Question Framework was compiled in Step 1 of the methodology. This question set contributes to the construct validity of the content analyses in that it specifically targets a layered (or nested) perspective of organizations as complex systems. Chassagnon [52], in his social ontology of the “firm”, integrates complexity theory with institutional theory to designate a “two-level institutional logics of the firm as an organizing entity” (p. 202). This refers to an organization as environment in which individuals display complex interactions and to the organization in its larger environment being an active participant in its contextual dynamics. In alignment with this, questions in the framework focus on: (1) the organization as a coherent system in its larger economic and societal context, and its interactions within this environment; (2) the organization as the system with processual, infrastructural, technological and human agent elements and dynamics between these; and (3) human individuals as complex systems in the organization as their context. The question framework also increases consistency in the analyses such that content analysis results from one corpus can more reliably be compared to outcomes from the other.
- In addition to the question framework, the colored categories that were introduced to structure the result-landscape also align with the same system levels represented in the question framework. This also assisted with the maintenance of construct validity and consistency across the whole methodology.
- Methodological triangulation [146] was performed in analyzing the literature for the TBO to curtail researcher bias in the question framework and enrich results.
- Creativity in research methodology and presentation of results can be considered a secondary criterion for validity in qualitative research, provided it remains grounded in scientific processes [145]. This study is intended to demonstrate this.
- The researcher’s long-term practical embeddedness in the application domain, applying complexity and systems theory in South African companies strengthens study credibility on the one hand, but also introduces a potential for unnoticed bias on the other [8]. To help curtail researcher bias in the textual analyses, certain principles of an emic approach [148] were followed to allow for emergence of themes from the data, including the use of words and phrases as contained in the original text on concept maps (i.e., not paraphrasing or introducing other summary descriptions by the researcher as far as practically possible). Section 7.5 describes limitations posed on the study due to potential researcher bias.
6. Results
6.1. Concept Maps and Narratives
Methodology-Related Observations for Interpretation
- The PFBO concept map contains more information, both in number of concepts and their relationships, than the TBO. Interpretations of this difference should take the following into account:
- The differences in types of texts used as input data (periodical articles vs. books).
- Potential differences in the intent of authors between the two literature sets. The HBR articles used for the TBO were typically attempting to convince their audience of a specific new useful development, which was contained within a specific aspect of a business organization, i.e., the articles had an enhancement focus. The PFBO literature aimed at describing significant all-encompassing changes for organizations and their contexts, which could be deemed transformation focused.
- A significant increase in emphasis on context in the literature used for the PFBO.
- An inherent increase in complexity of the domain as is clear from the PFBO concept map content (see Section 7.1.3 for the discussion of this aspect).
- Concepts in the PFBO concept map often have more descriptive information than concepts on the TBO map. This is due to the comparison purpose for drafting the concept maps. For the PFBO concept map, an emphasis was inevitably placed on how the concept might differ from something similar appearing on the TBO concept map. For example, Industries appear on the TBO map and Fused/Integrated Markets & Industries appear on the PFBO map. In the TBO reality, an industry will simply be what the shared understanding is. In the PFBO it becomes pertinent that an industry will not be the same anymore. We do not have a different word for it (maybe not yet), so some more description is needed to highlight the differences. Another example is Economies on the TBO map versus Equitable, Profitable, Sustainable Economy on the PFBO map, or Teams (TBO) compared to Distributed, Self-organizing, Multi-disciplinary Teams (PFBO).
6.2. Comparable Statements (Assumptions) and Ontological Shifts
7. Discussion
7.1. Interpretation of Ontological Shifts
7.1.1. A Kuhnian-Type Paradigm Shift?
7.1.2. Social Responsibility and Participation
7.1.3. An Explicit Shift to Complexity
- Unpredictability of how organizational processes evolve, especially over the long-term, and the limits this condition places on plan-driven and controlled change.
- Interactive self-organization being the source of emerging transformative changes, which centralizes relationships and cooperation in the creative process.
- Stability in the organization, i.e., limits on the propagation of destructive effects, emerging from relationships in which power limits the full range of individual behavior.
- The importance of diversity amongst individuals for the organization to develop.
- The expression of identity and difference, individually and collectively, being essential to change and stability in organizations.
7.2. Implications for Theory
7.2.1. An Integrated, Transdisciplinary Paradigm Shift
- An understanding of how the wave of eco-socio demands on organizations, including regulatory and auditable transparency requirements, interrelates with the speed of technological progress, paradoxically requiring very adaptable and agile organizational forms. Perhaps we need to consciously expand the concept of sustainability to fully include the revolutionary technological change through which organizations and society must also sustain.
- Applying the principle of self-organization simultaneously across all the organizational system levels, and not just to self-organizing of teams in organizations. The PFBO indicates more collaboration between entities at all levels (e.g., value-creating ecosystems including ‘would be’ competitors and a company’s collaborative relationships with regulatory institutions to shape compliance requirements). From a complexity theory perspective, emerging realities via self-organization is a key mechanism for change. What new understandings can emerge when, from the complexity perspective, we see organizations self-organize in the larger context with other self-organizing companies and governments, concurrently with internal self-organization? How can this help us towards building societally shared mental models that fully embrace business organizations having co-responsibility to address societal crises?
- Gaining insights into solving inclusive stakeholder representational challenges for bodies that must hold companies accountable, not only for saving the planet and being socially responsible, but also for playing a responsible part in directing all new technology towards benefiting all of humanity. What representation for these purposes are practically, ethically and morally suitable for stakeholders such as the planet, the previously and currently disadvantaged, and the unborn? How must our thinking and practices change to consider this our reality?
- Engaging the cross-systems, cross-discipline impact of having non-human agents among us. On the surface, the PFBO shows the impact of machines doing work requiring some internal organizational changes and that this worsens the unemployment and skill misalignments that will need to be addressed. However, transdisciplinary inquiries are critical to prepare for this new reality. We need to consider individual human psychology of being in ‘relationships’ with bots in multiple complex adaptive systems, where ‘they’ do not have the same motivations and cognitions as humans. At the same time, their potential participation in practically all our (previously human-exclusive) engagements will change our socially constructed institutions and our subjective experiences in very unpredictable and human-foreign ways. We need to be better prepared for artificial intelligence being everyone’s virtual personal assistants and even occupying roles of power, e.g., running virtual companies, diagnosing illnesses, and representing constituents in government. Clearly, reliance on any theories built on human-specific characteristics, such as value systems, motivations, relational interactions, mental processing, etc., will become flawed in explaining and predicting phenomena in these newly constituted collectives.
7.2.2. Connecting Across Discourse Levels and the Practice–Theory Divide
7.3. Implications for Organizational Practice
Constructing and Recognizing a Paradigm by the Language Being Used
7.4. Methodological Contributions
7.5. Study Limitations and Future Research
8. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| DOCF | Document Frequency |
| HBR | Harvard Business Review |
| MRQ | Main Research Questions |
| PFBO | Progressive Future Business Organization |
| SMM | Shared Mental Model |
| TBO | Traditional Business Organization |
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| Noun {DOCF} | Associated Themes/Concepts from Content Analysis of Top 10 Articles {DOCF} | Grouped Nouns {DOCF} | Concept(s) on Concept Map |
|---|---|---|---|
| manager {50} | Direction: Managers have authority and make decisions top down {3} Direction: Company/managers define incentive scheme for certain results/behaviors {3} Direction: Managers choose operational elements (e.g., operating framework, approach, technologies, capabilities) {3} Structure: Hierarchical Management (Levels) {10} Roles: Managers/Management {10} Roles: Heads {6} Roles: Supervisors {4} Work: Managers know, decide and direct the work/activities that must be done {4} Work: Managers drive new norms and changes {3} Work: Managers put policies, programs, processes/operating frameworks in place {2} Individual Performance: Manager oversees work and determines who performs well {6} Motivation: Managers make people perform {2} | head {28} management style/approach {17} supervisor {11} boss {10} | Managers Hierarchy (of levels) |
| customer {47} | Purpose: Create value for customer {7} Beneficiaries: Customers {10} Environment: Customers/clients {9} Environment: Buyers {2} Performance: Customer service/satisfaction {4} Performance: Value to customers {3} | consumer {33} client {22} buyer {17} customer value {20} value chain {10} | Customers/consumers & users |
| employee {46} | Beneficiaries: Employees {7} Performance: Management/People capability {6} Performance: Retaining talent/Low people turnover {3} Performance: People development {2} Performance: Rewarding people {2} Threats: Resignations of valued staff {3} Threats: Employee/Team non-performance {2} Inputs: People {9} Roles: Employees {8} Roles: People {7} Roles: Staff {5} Roles: Workers {3} Roles: Personnel {2} Work: Workers are trained and equipped for what they must do {2} | staff {26} talent {21} professional {18} worker {18} personnel {13} subordinate {13} | Employees |
| share {44} | <concepts: market share {23}; company shares {7}> <company shares grouped with “stock”> Purpose: Secure market share {3} Performance: Market share {5} Threats: Declining competitive position/market share {3} | <stock> | Market Share |
| efficiency {28} | <consistently refers to efficiency of aspects of a company’s functioning> Performance: Efficiency/Lower costs {8} Inputs: Time {5} | economies of scale {14} | Efficiency Time |
| Nr. | Author(s) | Title | Year |
|---|---|---|---|
| Literature analyzed to construct model and narrative (Step 3.1) | |||
| 1 | Mark Carney [114] | Values—An Economist’s Guide to Everything That Matters | 2022 |
| 2 | Peter H. Diamandis & Steven Kotler [115] | The Future is Faster than you Think | 2020 |
| 3 | Rebecca Henderson [116] | Reimagining Capitalism in a World on Fire | 2021 |
| 4 | Philip Kotler [117] | Confronting Capitalism—Real Solutions for a Troubled Economic System | 2015 |
| 5 | Colin Mayer [118] | Prosperity—Better Business Makes the Greater Good | 2021 |
| 6 | Paul Norman (Editor) [119] | HR—The New Agenda | 2022 |
| 7 | John Sanei [120] | Foresight | 2019 |
| 8 | John Sanei & Iraj Abedian [121] | Future Next—Reimagining our World & Conquering Uncertainty | 2020 |
| 9 | Klaus Schwab [1] | The Fourth Industrial Revolution | 2017 |
| 10 | Joseph E. Stiglitz [122] | People, Power and Profits—Progressive Capitalism for and Age of Discontent | 2020 |
| 11 | Daniel Susskind [123] | A World without Work—Technology Automation and How We Should Respond | 2021 |
| 12 | Sandra van der Merwe & David Erixon [124] | Distinguishers—Winning Customers at Speed, Scale & Lower Costs | 2021 |
| 13 | Abdullah Verachia [125] | Disruption Amplified—Reset, Rewire, Reimagine Everything | 2020 |
| Other Literature used for Verification (Step 3.2) | |||
| 14 | Scott Galloway [126] | Post Corona—Winners and Losers in a World Turned Upside Down | 2020 |
| 15 | Kevin Govender [127] | The Rise of the Sharing Economy—Access is the New Ownership | 2021 |
| 16 | Ranjay Gulati [128] | Deep Purpose—The Heart and Soul of High-Performance Companies | 2022 |
| 17 | Johan Kay & Mervyn King [88] | Radical Uncertainty—Decision-making for an Unknowable Future | 2021 |
| 18 | William Macaskill [129] | What We Owe the Future—A Million Year View | 2022 |
| 19 | Christian Madsbjerg [130] | Sensemaking—What Makes Human Intelligence Essential in the Age of the Algorithm | 2019 |
| 20 | Greg Mills, Mcebisi Jonas, Haroon Bhorat & Ray Hartley (Editors) [131] | Better Choices—Ensuring South Africa’s Future | 2022 |
| 21 | David Pilling [132] | The Growth Delusion—The Wealth and Well-being of Nations | 2019 |
| Question & Reference Count | Group Summary | Book References | Concepts on Concept Map |
|---|---|---|---|
| Why do business organizations exist (purpose)? TOTAL Count: 8 |
|
|
|
| What must an organization do to survive/continue existing? TOTAL Count: 7 |
|
|
|
| What must an organization do to survive/continue existing? TOTAL Count: 5 | Supply Chains:
|
| |
| What can be a threat/detrimental to an organization? TOTAL Count: 8 | Accelerating pace of change driven by converging exponential technological developments |
|
| From (TBO) | To (PFBO) |
|---|---|
| Financial | Social |
| Individual | Shared |
| Transactional | Meaningful |
| Defined | Fluid |
| Directed | Emergent |
| Contained | Limitless |
| Discreet | Integrated |
| Article No. | Article Title and Author(s) | Field of Study & Contribution | Paradigm/Framework Compared to PFBO |
|---|---|---|---|
| 1 | “Shifting Paradigms for Sustainable Development: Implications for Management Theory and Research” by Gladwin et al. [91] | Management Theory: Introduces “sustaincentrism” as a paradigm between the extremes of “technocentrism” and “ecocentrism”. | “Sustaincentrism” and some areas of “ecocentrism” paradigms |
| 2 | “A value-based paradigm for creating truly healthy organizations” by Kriger and Hanson [151] | Organizational Behavior & Change: Introduction of an aspirational set of organizational culture values and associated activities based on “the world’s major religions”. | The described aspirational culture |
| 3 | “Industrial Ecology: Paradigm Shift or Normal Science?” by Ehrenfeld [95] | Social & Behavioral Sciences: Ponders whether Industrial Ecology should be considered change within “normal science” within the paradigm of “Western Modernity” or a social “paradigm shift” as per Kuhn’s definition of scientific paradigms. | Industrial Ecology as paradigm shift |
| 4 | “Leading organizations in turbulent times: Towards a different mental model” by Jordaan [152] | Leadership: Introduces a leadership “mindset” required for “agile” and “collaborative” leadership needed in times of increased “complexity, turbulence and uncertainty”. | The introduced leadership “mindset” |
| 5 | “Common Good HRM: A paradigm shift in Sustainable HRM?” by Aust (Ehnert) et al. [153] | Human Resource Management: Introduces “Common Good HRM” as a new type of “sustainable HRM” applying “ideas from a common good economy perspective”. | “Common Good HRM” |
| 6 | “Circular Economy—Reducing Symptoms or Radical Change?” by Temesgen et al. [149] | Economics: Discusses the concept of a “circular economy” from the perspective of change within “Neoclassical Economics (NE)”, or a “paradigm change” to “Ecological Economics (EE)”. | “Circular Economy” as a “paradigm change” to “Ecological Economics (EE)” |
| 7 | “From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology” by Zizic et al. [154] | Engineering/Industry: Highlights “Industry 5.0” as extension of “Industry 4.0” with a “social and environmental dimension”. | “Industry 5.0” |
| 8 | “Inclusive organizational behavior—the dynamic rules of building new workplaces” by Kar et al. [150] | Organizational Behavior: Reflects on the new concept of “inclusive organizational behavior (IOB)” for “the future of work”. | “Inclusive Organizational Behaviour (IOB)” |
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Gericke, L.; Schutte, C.S.L. The Organization of the Future—An Integrated, Transdisciplinary Paradigm Shift. Systems 2026, 14, 774. https://doi.org/10.3390/systems14070774
Gericke L, Schutte CSL. The Organization of the Future—An Integrated, Transdisciplinary Paradigm Shift. Systems. 2026; 14(7):774. https://doi.org/10.3390/systems14070774
Chicago/Turabian StyleGericke, Lizette, and Corné Stephanus Lodewyk Schutte. 2026. "The Organization of the Future—An Integrated, Transdisciplinary Paradigm Shift" Systems 14, no. 7: 774. https://doi.org/10.3390/systems14070774
APA StyleGericke, L., & Schutte, C. S. L. (2026). The Organization of the Future—An Integrated, Transdisciplinary Paradigm Shift. Systems, 14(7), 774. https://doi.org/10.3390/systems14070774

