A knowledge accumulation approach based on bilayer social wiki network for computer-aided process innovation

Wang, Gangfeng; Tian, Xitian; Geng, Jianghui; Guo, Baohua

doi:10.1080/00207543.2014.958591

Cited by 17 publications

(21 citation statements)

References 43 publications

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“…Appropriate product development and production are achieved through accurate identification of customer requirements and good supplier integration (Jin et al 2016;Petersen et al 2005). The information exchange facilitated by social media among relevant stakeholders like supply chain partners and the public can stimulate product development ideas , lead to collaborative product development , and enable information capturing for production process innovation and redesign (Wang et al 2015).…”

Section: Product Development and Productionmentioning

confidence: 99%

Social media in operations and supply chain management: State-of-the-Art and research directions

Huang

Potter

Eyers

2019

International Journal of Production Research

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Recently, industrial and academic communities in the operations and supply chain management (OSCM) field are paying increasing attention to social media. However, the value of social media in OSCM is quite unclear, and more investigations are still needed. To pave the way for a directed future research, this paper systematically reviewed and synthesised 152 peer-review journal papers to identify research focus and gaps in this area, supported by an appropriate conceptual framework. The result reveals that the research interests in this area have increased dramatically within the last decade across various industries and regions. Different companies' OSCM activities, such as sourcing and delivery, can benefit from employment of social media. This paper also indicates that future research can explore the value of social media in sourcing, delivery, product return and reverse logistics activities, forecasting and inventory management, and product development and production.

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Section: Product Development and Productionmentioning

confidence: 99%

Social media in operations and supply chain management: State-of-the-Art and research directions

Huang

Potter

Eyers

2019

International Journal of Production Research

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“…By focusing on the semiconductor industry, Sheu et al [49] developed a suitable contradiction matrix and corresponding inventive principles for that particular industry based on chemical-mechanical processing patents. With the development of CAI and the requirements of manufacturing process problem-solving, the basic concept and framework for CAPI were presented by Geng, Tian, and Wang [2,3,25,50], with some specific application cases being used to illustrate the feasibility of structured/systematic process innovation design [20,32,51].…”

Section: Computer-aided Process Innovationmentioning

confidence: 99%

“…The innovation design procedure can be basically divided into four stages, as illustrated in Figure 1, and each stage needs the support from the corresponding type of innovation knowledge. According to the role of knowledge in manufacturing process innovation design, we divide innovation knowledge into several types, such as Process Contradiction Matrix, Manufacturing Scientific Effect, Innovative Scheme Instance, and so on [25]. The above types of knowledge are required to be explicit, structured and formalized descriptions, so as to stimulate the creative thinking of the process designers and facilitate the implementation of knowledge-inspired innovative design in the computer support environment.…”

Section: An Overall Paradigm For Innovation Knowledge Capture Based Omentioning

confidence: 99%

An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence

Wang

Tian

et al. 2018

Applied Sciences

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Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers' creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI). Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI) is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge-social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.

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“…Since several employees will be involved in the process innovation process, their level of know-how will differ within the group. An open knowledge accumulation mode is recommended in order to combine collective intelligence and allow employees to participate fully in the process (Wang et al, 2014).…”

Section: Technology and Congruencymentioning

confidence: 99%

Process innovation: requirements and opportunities

Köhne

Sawyer

2018

EJMI

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Purpose. The purpose is to assemble the list of the most important requirements and opportunities of process innovation through the analysis of the main and most recent scholarly developments related to the study of process innovation. Design/Method/Approach. Systematic literature review. Theoretical implications. In outlining the requirements and opportunities of process innovation, this article builds a foundation for understanding process innovation and an introduction to terms and ideas related to process innovation. From such foundation, scholars can further develop the study of process innovation and the understanding of the main factors that contribute to its success. Practical implication. Process innovation is linked to a high failure rate (between 50% - 80%), which acts as a deterrent for many managers and companies. Through understanding the requirements and opportunities of process innovation, managers can intelligently decide whether it is best for their company to pursue or avoid process innovation. Originality/Value. Articles have shared, in small parts, the requirements and opportunities of process innovation, but this article is original due its listing of the most important requirements and opportunities of process innovation. Research limitations/Future research. This article shares the requirements and opportunities of process innovation, but it does not rank or list either the requirements or opportunities based on their importance to process innovation. Additionally, this article does not quantitatively assess the requirements and opportunities importance to process innovation. Future research can rank the requirements and opportunities of process innovation based on their contribution to the success and/or failure of process innovation within a firm or an industry. Paper type – conceptual.

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A knowledge accumulation approach based on bilayer social wiki network for computer-aided process innovation

Cited by 17 publications

References 43 publications

Social media in operations and supply chain management: State-of-the-Art and research directions

Social media in operations and supply chain management: State-of-the-Art and research directions

An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence

Process innovation: requirements and opportunities

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