Knowledge discOvery And daTa minINg inteGrated (KOATING) Moderators for collaborative projects

Choudhary, Anshul; Harding, Jennifer; Lin, Hsiao-Kang; Tiwari, Manoj Kumar; Shankar, Ravi

doi:10.1080/00207543.2010.532166

Cited by 14 publications

(7 citation statements)

References 39 publications

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“…Ontology (Cochrane et al 2009;Chen 2010Chen , 2011Chen, Chen, and Wu 2010), cognitive map (CM) (Noh et al 2000), case-based reasoning (CBR) (Wang and Hsu 2004;Dias 2007) and social network analysis (SNA) (Kim, Suh, and Jun 2011) are the main methods for tacit knowledge acquisition. Automatic or semi-automatic acquisition systems, such as TTKM (Team Tacit Knowledge Measure for software developer) (Ryan and O'Connor 2009), TKAI (Tacit Knowledge Acquisition Info-Structure for physician) (Abidi, Cheah, and Curran 2005), MediKES (Medical Knowledge Elicitation System for physician) (Ting et al 2011) and KOATING (Knowledge discovery and data mining integrated framework for project team members) (Choudhary et al 2011) have been developed and validated.…”

Section: Related Work 21 Tacit Knowledge Acquisition Methodsmentioning

confidence: 99%

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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Section: Related Work 21 Tacit Knowledge Acquisition Methodsmentioning

confidence: 99%

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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“…Banerjee et al (2013) reported that state of the art of data analysis in India with respect to supply chain management as well as other areas. Choudhary et al (2011) gave a specific system to support knowledge acquisition, learning, and updating within supply chains. Qin and Zhao (2012) discussed how cloud computing can aid supply chain information management.…”

Section: Knowledge Management Papersmentioning

confidence: 99%

A review of supply chain data mining publications

Olson

2020

Journal of Supply Chain Management Science

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The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development.

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“…The paramount value added knowledge to the success of the business is to reuse of knowledge and learning from one's own experience, best practices of others and past history [12]. …”

Section: Concept Of the Cloud-based Knowledge Servicementioning

confidence: 99%

Cloud-Based Knowledge Service for Global Enterprise Collaboration

Chen¹

2015

J Stock Forex Trad

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With the growing popularity of cloud computing, enterprises are turning their collaborative platforms towards Software as a Service (SaaS) via the Internet. Cloud technology paradigms are being considered for digital data intensive science, business transactions, open source data, discussion forums, social networks, wikis, tweets and other unstructured data to connect people and share knowledge on a global level. This paper aim to introduce and develop the concept of a knowledge service, which is a combination of cloud computing, knowledge community, self-learning knowledge for Global Enterprise Collaboration (GEC). The cloud-based infrastructure must facilitate the effective and efficiency transmission of knowledge with the right expertise and those that enable connections with the right information for GEC and share knowledge at the international level.

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Knowledge discOvery And daTa minINg inteGrated (KOATING) Moderators for collaborative projects

Cited by 14 publications

References 39 publications

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

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

A review of supply chain data mining publications

Cloud-Based Knowledge Service for Global Enterprise Collaboration

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