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Scalability of generative knowledge management systems: designing for individuals’ and institutions’ mutual benefit
Kybernetes ( IF 2.5 ) Pub Date : 2020-12-01 , DOI: 10.1108/k-05-2020-0324
Ulrich Schmitt

Purpose

In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base.

Design/methodology/approach

It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches.

Findings

The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system.

Research limitations/implications

Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation.

Originality/value

In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.



中文翻译:

生成性知识管理系统的可扩展性:为个人和机构的互利而设计

目的

在进一步概念化新的生成知识管理系统 (KM/KMS) 时,本文旨在重点识别和减轻与其设想的从原型扩展到具有快速增长的用户群的应用程序相关的风险。

设计/方法/方法

它使用符合理论有效性的设计科学研究 (DSR) 方法来跟进先前的出版物,该原则期望系统设计在实用性和交流方面是有目的的。所采用的 KMS 观点优先考虑使知识工作者受益的分散议程,同时还旨在促进与传统组织 KM 方法的富有成效的共同进化。

发现

CKDT 的使用和进一步扩展以及“可扩展创新”启发式方法有助于检测与逻辑和物流、生成互操作性、技术能力、知识动态和价值链相关的潜在扩展风险,这进一步验证了拟议 KM 的可行性概念和系统。

研究限制/影响

尽管原型开发仍在进行中,但该论文符合 DSR 实践,报告了技术对用户、组织和社会影响的早期愿景,同时也反映了对可行性、可取性和承诺的期望,以及系统作为一个系统的前景。通用技术或颠覆性创新。

原创性/价值

除了新颖的知识管理相关观点之外,由于各个项目通常具有大规模的协作性质、广泛的方法论范围和不同的利益相关者的利益,因此文献中很少涉及该论文对更复杂系统的扩展的实际强调。在这种情况下,由于可以参考先前的 DSR 输出,因此可以减轻任务。

更新日期:2020-12-01
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