GIFTS, CONTEXTS, MEANS, AND ENDS DIFFERING: INFORMING TASK SCENARIOS TO SERVE KNOWLEDGE WORKERS’ NEEDS IN DYNAMIC COMPLEX SETTINGS

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Abstract

Aim/Purpose: As traditional Knowledge Management (KM) struggles to support the per-sonal needs of knowledge workers in a new era of accelerating information abundance, we examine the shortcomings and put forward alternative scenar-ios and architectures for developing a novel Personal KM System (PKMS). Background: While prior publications focused on the complementing features compared to conventional dynamic KM models, our emphasis shifts to instantiating a flourishing PKMS community supported by a Digital Platform Ecosystem. Methodology: Design science research focusing on conceptual analysis and prototyping. Contribution: The PKMS concept advances the understanding of how digital platform communities may serve members with highly diverse skills and ambitions better to gainfully utilize the platform's resources and generative potential in their personal and local settings. Findings: We demonstrate how the needs to tackle attention-consuming rising entropy and to benefit from generative innovation potentials can be addressed. Future Research: As this article has iteratively co-evolved with the preparing of a PKMS imple-mentation, business, and roll-out plan, the prototype's testing, completion, and subsequent migration to a viable system is of primary concern.

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Schmitt, U., & Gill, T. G. (2020). GIFTS, CONTEXTS, MEANS, AND ENDS DIFFERING: INFORMING TASK SCENARIOS TO SERVE KNOWLEDGE WORKERS’ NEEDS IN DYNAMIC COMPLEX SETTINGS. Informing Science, 23, 119–145. https://doi.org/10.28945/4667

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