A dynamic knowledge management framework for the high value manufacturing industry

Piorkowski, Barry Andrew; Gao, James; Martin, Nick

doi:10.1080/00207543.2012.709650

Cited by 18 publications

(12 citation statements)

References 31 publications

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“…In the next article, "A Dynamic Knowledge Management Framework for the High Value Manufacturing Industry", Piorkowski et al (2013) describe a dynamic KM framework in the context of employees being motivated to create profit for their company through product development in high value manufacturing. It is reported how the framework was discussed during a meeting of the collaborating company's (BAE Systems') project stakeholders.…”

mentioning

confidence: 99%

Knowledge management and supporting tools for collaborative networks

Choudhary

Harding

Camarinha-Matos

et al. 2013

International Journal of Production Research

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confidence: 99%

Knowledge management and supporting tools for collaborative networks

Choudhary

Harding

Camarinha-Matos

et al. 2013

International Journal of Production Research

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“…It is proven that novices are able to rapidly improve their work efficiency and innovation capability with the support of knowledge provided by proficient domain experts (Reed et al 2011;Piorkowski et al 2012;Shankar et al 2012;Reychav and Aguirre-Urreta 2013). However, due to various operational and technical constraints, engineering-oriented empirical tacit knowledge (ETK), a very important and practical part of expert knowledge, has not been sufficiently harnessed and utilised.…”

Section: Introductionmentioning

confidence: 98%

A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

Liu

Jiang

Song

2014

International Journal of Production Research

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Engineering-oriented empirical tacit knowledge (ETK) is a kind of tacit knowledge originated from domain expert's experience combined with practice cases and scenarios. It is an important source of organisation knowledge. However, due to operational and technical obstacles, this kind of knowledge is not sufficiently harnessed and put into practical use. To deal with this problem, a novel two-stage acquisition method is proposed in this paper. The acquisition method consists of two phases, the stage from ETK in the mind of expert to ETK in initial state, and the stage from ETK in initial state to structured ETK. It constructs a complete tacit knowledge acquisition process from the domain expert's experience to the structured tacit knowledge. The objective is achieved by taking the following procedures: Firstly, present the concept of engineering-oriented ETK and a five-dimension representation model of ETK. Secondly, construct a two-stage ETK acquisition framework. Finally, describe an engineering decision case to validate the feasibility of the proposed approach. Satisfactory results are reached for the study.

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“…By engaging in effective and efficient knowledge management practices, enterprises can promote product innovation (Cheung, Matthews, and Gao 2008;Kiritisis, Nguyen, and Stark 2008;Piorkowski et al 2012;Trotta 2010).…”

Section: Introductionmentioning

confidence: 99%

Factors that influence product life cycle management to develop greener products in the mechanical industry

Oliveira¹,

Silva²,

Silva

et al. 2015

International Journal of Production Research

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Our aim was to discover the most important factors that influence the development of greener products in the mechanical industry, emphasising green design in product creation based on current environmental issues and considering product development as one important aspect of product life cycle management. This model is important to the mechanical industry because this sector relies heavily on raw materials, and recycling products is one way to improve environmental conditions. We used exploratory factor analyses to assess new product development, communication in change management, concurrent engineering, green products design worries and supplier involvement risks perception. The factor analyses initially found 10 constructs, but the 10th was eliminated because it had only one variable, and 5 were eliminated because they yielded Cronbach's alpha values less than 0.6. To develop this model, we sent questionnaires to 2000 professionals in the Brazilian mechanical industry through LinkedIn discussion groups, mostly to professionals who participated in product development and was received 405 answered questionnaires which 394 was considered valid. The results show the importance of consistently managing product development throughout the entire product life cycle. This includes aspects such as product recycling, green products and using materials that are easy to recycle, from the very beginning of product design.

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A dynamic knowledge management framework for the high value manufacturing industry

Cited by 18 publications

References 31 publications

Knowledge management and supporting tools for collaborative networks

Knowledge management and supporting tools for collaborative networks

A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

Factors that influence product life cycle management to develop greener products in the mechanical industry

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