Entropy, Generativity, and Rugged Fitness Landscapes as the Means to Rationalize a Paradigm Shift in Knowledge Management

Ulrich Schmitt, Grandon Gill
InSITE 2020  •  2020  •  pp. 061-078
Aim/Purpose: While traditional Knowledge Management (KM) continues to neglect the self-interests of knowledge workers as well as generative innovation potentials, it also seems unable to respond to rising complexities, opportunity divides, and entropies. This article follows up on a decentralized KM system-in-progress with a specific focus on how its alternative architecture seeks to address the shortcomings.

Background: It follows up on an informing perspective of client clusters and their target-fitness/ends-states by also taking account of contextual and means-related variances. The differing complexities of the resulting scenarios allow for making distinctions regarding the relationships and respective KM needs between mentees/informees and mentors/informants.

Methodology: The approach taken is conceptual analysis.

Contribution: The analysis advances the understanding of how the envisaged KM system would serve the informing scenarios better compared to the current status quo.

Findings: The novel system architecture serves the more constructive interconnection of individual and collaborative spaces by strengthening personal, institution-al, and social digital curation and feedback across disciplinary and professional boundaries.

Future Research: The example provided could serve as a model and assessment tool for int-grating design and informing science approaches in the study of IT/KM artefacts.
knowledge management, personal knowledge management system, design science research, informing system, digital platform ecosystem, generativity, entropy
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