Work

Distorted Knowledge in the Digital Economy: Reframing the SECI Model to Address Gambling Risks

Year: 2026

Type: article

Abstract: 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.

Source: Journal of the Knowledge Economy

DOI: 10.1007/s13132-026-03274-2

Authors: Juan-Gabriel Cegarra-Navarro, Aurora Martínez Martínez, Juan Antonio Mondéjar Jiménez, Anthony Wensley Emeritus

Institutions: Universidad Politécnica de Cartagena, University of Castilla-La Mancha, University of Toronto

Language: English

Topic: Knowledge Management and Sharing

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,390

Funder: Universidad Politécnica de Cartagena