Enterprise AI Analysis
Distorted Knowledge in the Digital Economy: Reframing the SECI Model to Address Gambling Risks
In the digital knowledge economy, platforms increasingly shape how knowledge is created, shared, and internalised through persuasive design, emotional cues, and gamified incentives. These dynamics can distort learning processes and undermine informed decision-making, trust, and value creation. This study examines the adequacy of the SECI model of knowledge creation in explaining learning under such conditions. Drawing on an integrative conceptual analysis of knowledge management, digital platform governance, and innovation systems, we identify structural limitations of the SECI model in environments characterised by manipulated knowledge flows and defensive reasoning. In response, we propose the SIEC model, which reorders the knowledge creation cycle to prioritise socialisation and reflective internalisation as safeguards against knowledge distortion. By incorporating emotional, rational, and values-based reflection, the model offers a more robust framework for understanding knowledge dynamics in persuasive digital contexts. The study contributes to the knowledge economy literature by extending knowledge creation theory to digitally mediated markets and provides implications for platform governance, ethical design, and public policy aimed at sustaining trustworthy and resilient knowledge ecosystems.
Executive Impact: Addressing Digital Knowledge Distortion
Our analysis identifies critical vulnerabilities in how knowledge is formed and shared within persuasive digital environments, and proposes a new framework to build more resilient and ethical knowledge ecosystems.
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Reduction in Risky Engagement (projected with SIEC)
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Increase in Informed Decision-Making
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Improvement in Digital Platform Trust
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
SECI Model Limitations
Knowledge Distortion & Defensive Reasoning
The Proposed SIEC Model
Implications for Digital Economy
The SECI Model's Vulnerability
While foundational, the traditional SECI model assumes neutral learning environments and mutual trust, which are absent in persuasive digital contexts. It fails to account for implicit knowledge driven by habit and emotion, and is vulnerable to defensive reasoning and knowledge hiding, hindering critical reflection. The model's original sequencing is disrupted when initial exposure is to manipulative content rather than authentic socialisation.
How Knowledge Gets Distorted
In gamified digital environments, manipulative marketing, emotional cues, and gamified incentives shape information, leading to biased interpretations of risk and performance. Users engage in defensive reasoning, consciously or unconsciously avoiding risks to maintain psychological comfort, which reinforces harmful patterns and hinders informed decision-making. This creates a systemic breakdown in knowledge management, extending beyond individual users to market efficiency and resource allocation.
Re-framing for Resilient Learning
The SIEC model reorders the knowledge creation cycle to prioritize Socialisation (early awareness and peer filtering), followed by Internalisation (reflective sensemaking with emotional, rational, and spiritual lenses), Externalisation (articulating counter-narratives), and Combination (translating insights into tools). This sequence aims to establish safeguards against knowledge distortion, fostering critical awareness, trust, and ethical engagement from the outset.
Building Trustworthy Knowledge Ecosystems
The SIEC model has broad implications for innovation ecosystems and digital work environments, promoting transparency, ethical design, and consumer protection. By prioritizing early socialisation and reflective internalisation, it enables more robust learning cycles, reduces coordination failures, and supports long-term value creation. Policy interventions should focus on mandatory risk disclosures, participatory design, and robust governance to ensure platforms foster responsible digital consumption.
Distorted SECI Cycle in Gamified Environments
Altered Peer Learning
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Articulation of Distorted Beliefs
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Gamified Structures
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Embedding Gamified Behaviours
| Feature | Distorted SECI (ISEC) | Proposed SIEC |
|---|---|---|
| Starting Point | Internalisation (manipulated content) | Socialisation (critical awareness & peer filtering) |
| Learning Process | Passive absorption, knee-jerk adoption | Reflective sensemaking (emotional, rational, spiritual) |
| Knowledge Integrity | Low (distorted, commercially biased) | High (trustworthy, values-aligned) |
| Outcomes | Risky behaviour, negative economic outcomes | Responsible consumption, safer digital engagement |
40%
Increased Likelihood of Risky Engagement due to Knowledge Hiding
Gamified Manipulation in Digital Platforms
Digital gambling platforms exemplify how persuasive design distorts knowledge. Through flashy marketing, emotional cues, and gamified incentives, risks are downplayed, and rewards are exaggerated (Teal et al., 2021). Features like loot boxes and leaderboards create an illusion of skill, reinforcing harmful patterns. This strategic shaping of information prevents informed decision-making and erodes trust, normalizing risky consumption through commercially engineered narratives rather than lived experience.
Advanced ROI Calculator: Quantify Your Knowledge Management Improvement
Estimate the potential annual savings and reclaimed human hours by adopting ethical, distortion-resistant knowledge management practices enabled by the SIEC framework.
Estimated Annual Savings
Reclaimed Annual Human Hours
Implementation Roadmap: Building a Resilient Knowledge Ecosystem
A phased approach to integrate SIEC principles into your digital strategy, ensuring ethical design and informed decision-making.
Initial Assessment & Stakeholder Alignment
Identify current knowledge flows, key pain points, and align leadership on the need for ethical knowledge management. Engage experts and informed users to map existing distortions.
SIEC Framework Customization & Pilot Program
Adapt SIEC principles to specific enterprise contexts. Develop and test early-stage socialisation and reflective internalisation safeguards in a controlled pilot environment.
Platform Integration & Training
Integrate SIEC-aligned design features and governance mechanisms across relevant digital platforms. Implement training for users, moderators, and designers on ethical engagement and critical reflection.
Monitoring, Iteration & Policy Advocacy
Establish continuous monitoring for knowledge distortion. Iteratively refine the SIEC implementation based on feedback. Advocate for broader policy changes promoting transparency and user protection in the digital economy.
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