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Knowledge acquisition throughout the lifecycle: product and industry learning frameworks
Journal of Knowledge Management ( IF 8.689 ) Pub Date : 2021-09-02 , DOI: 10.1108/jkm-05-2021-0387
Ferran Vendrell-Herrero 1 , Emanuel Gomes 2 , Marco Opazo-Basaez 3 , Oscar F. Bustinza 4
Affiliation  

Purpose

The purpose of this paper is to distinguish clearly between industry (ILC) and product lifecycle (PLC) models and to elucidate their different ramifications for organizational learning and knowledge.

Design/methodology/approach

The authors examine existing knowledge on ILCs and PLCs to highlight the differences and similarities and develop a framework with implications for learning and innovation in digital manufacturing industries.

Findings

The authors identify and associate one dominant type of learning with each phase of the ILC: learning-by-participating in the introduction phase, learning-by-feedback in the growth phase, vicarious learning in the maturity phase and learning-by-memory in the decline phase. The study also provides insight into how different types of learning influence PLC in digital innovation. From this perspective, learning-by-feedback is crucial to co-creation, co-production and open innovation. Similarly, learning-by-doing and learning-by-memory are essential to production and usage stages, respectively.

Research limitations/implications

The conceptual development in this paper follows a somewhat critical but ultimately elucidative analysis that highlights important research avenues in the interplay of PLC/ILC, organizational learning and digital innovation.

Originality/value

This paper clarifies a perennial theoretical problem by differentiating two concepts often conflated in the literature. More importantly, it contributes to the knowledge management literature by shedding light on the connection of ILC and PLC theories to different types of organizational learning.



中文翻译:

全生命周期的知识获取:产品和行业学习框架

目的

本文的目的是明确区分行业 (ILC) 和产品生命周期 (PLC) 模型,并阐明它们对组织学习和知识的不同影响。

设计/方法/方法

作者检查了有关 ILC 和 PLC 的现有知识,以突出差异和相似之处,并开发一个对数字制造行业的学习和创新具有影响的框架。

发现

作者确定了一种主要的学习类型并将其与 ILC 的每个阶段相关联:在介绍阶段通过参与学习,在成长阶段通过反馈学习,在成熟阶段进行替代学习,在学习阶段通过记忆学习。衰退阶段。该研究还深入了解了不同类型的学习如何影响 PLC 在数字创新中的作用。从这个角度来看,通过反馈学习对于共同创造、共同生产和开放式创新至关重要。同样,边做边学和边记边学分别对生产和使用阶段至关重要。

研究限制/影响

本文中的概念发展遵循了一个有些批判但最终阐明的分析,该分析强调了 PLC/ILC、组织学习和数字创新相互作用中的重要研究途径。

原创性/价值

本文通过区分文献中经常混淆的两个概念,澄清了一个长期存在的理论问题。更重要的是,它通过阐明 ILC 和 PLC 理论与不同类型组织学习的联系,为知识管理文献做出了贡献。

更新日期:2021-09-09
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