process knowledge
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2022 ◽  
Vol 9 (1) ◽  
pp. 14-29
Author(s):  
Rofiqoh Rofiqoh ◽  
Yazid Basthomi ◽  
Utami Widiati ◽  
Yunita Puspitasari ◽  
Saiful Marhaban ◽  
...  

Writing knowledge pertaining to process, system, content, and genre plays an essential role to produce an intelligible composition. The purpose of the present study is twofold – to investigate the correlation between aspects of writing knowledge and quality of writing, and to investigate the contribution of the overall and individual aspects of writing knowledge to writing quality. The participants were 54 second-year ELT undergraduate students of a university in Indonesia. A writing test and multiple-choice test on writing knowledge were used as the instruments of data collection. The analysis employed Pearson correlation coefficient and multiple regressions. The result revealed a significant positive correlation between writing knowledge and writing quality. As a unit, the knowledge of process, system, content, and genre, indicates a significant contribution to the writing quality. Individually, however, only process knowledge significantly contributes to the writing quality. It provides additional pieces of evidence that process knowledge be given special attention, thus writing instruction should allow students to learn writing knowledge explicitly and implicitly.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261573
Author(s):  
Fazal ur Rehman ◽  
Hishamuddin Ismail ◽  
Basheer M. Al Ghazali ◽  
Muhammad Mujtaba Asad ◽  
Muhammad Saeed Shahbaz ◽  
...  

Drucker’s knowledge-worker productivity theory and knowledge-based view of the firm theory are widely employed in many disciplines but there is little application of these theories in knowledge-based innovation among academic researchers. Therefore, this study intends to evaluate the effects of the knowledge management process on knowledge-based innovation alongside with mediating role of Malaysian academic researchers’ productivity during the Pandemic of COVID-19. Using a random sampling technique, data was collected from 382 academic researchers. Questionnaires were self-administered and data was analyzed via Smart PLS-SEM. Knowledge management process and knowledge workers’ productivity have a positive and significant relationship with the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. In addition, knowledge workers’ productivity mediates the relationship between the knowledge management process (knowledge creation, knowledge acquisition, knowledge sharing, and knowledge utilization) and knowledge-based innovation during the Pandemic of COVID-19. Results have also directed knowledge sharing as the key factor in knowledge-based innovation and a stimulating task for management discipline around the world during the Pandemic of COVID-19. This study provides interesting insights on Malaysian academic researchers’ productivity by evaluating the effects of knowledge creation, acquisition, sharing, and application on the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. These useful insights would enable policymakers to develop more influential educational strategies. By assimilating the literature of defined variables, the main contribution of this study is the evaluation of knowledge creation, acquisition, sharing, and utilization into knowledge-based innovation alongside the mediating role of knowledge workers productivity in the higher education sector of Malaysia during the Pandemic of COVID-19.


2021 ◽  
Vol 20 (105) ◽  
pp. 1513-1534
Author(s):  
farahnaz jeloyari ◽  
somayeh kazemian ◽  
Ebrahim Naeimi ◽  
Abdolah Motamedi ◽  
◽  
...  

Author(s):  
Julia Middeke ◽  
Kayla Palmer ◽  
Elin Lövestam ◽  
Angela Vivanti ◽  
Ylva Orrevall ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanqing Gong ◽  
Lingling Shi ◽  
Xiang Zhai ◽  
Yimin Du ◽  
Zhijing Zhang

Purpose The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience. Design/methodology/approach By integrating case-based reasoning (CBR) and ontology technology, a multilevel assembly ontology is proposed. Under the general framework, the knowledge of the assembly domain is described hierarchically and associatively. On this basis, an assembly process case matching method is developed. Findings By fully considering the influence of ontology individual, case structure, assembly scenario and introducing the correction factor, the similarity between non-correlated parts is significantly reduced. Compared with the Triple Matching-Distance Model, the degree of distinction and accuracy of parts matching are effectively improved. Finally, the usefulness of the proposed method is also proved by the matching of four practical assembly cases of precision components. Originality/value The process knowledge in historical assembly cases is expressed in a specific ontology framework, which makes up for the defects of the traditional CBR model. The proposed matching method takes into account all aspects of ontology construction and can be used well in cross-ontology similarity calculations.


Author(s):  
Christoph Peiner ◽  
Henning Löcken ◽  
Leon Reinsch ◽  
Thomas Gries

Abstract3D-knits are typically produced on flat knitting or special circular knitting machines in a time-consuming process. The utilisation of a sewing-like pattern opens up the potential of a 10–50 times faster production on common large circular knitting machines as compared to conventional flat knitting machines. Since common large circular knitting machines are not designed for this technology, the limitations and the stability of process conditions have been rarely studied. To further proof the feasibility and increase technological maturity, agile product development is conducted. As a concept product, a sports bra with customised cups is developed and demonstrated, which is knitted in a single step in approx. 5 min using the sewing-like pattern on a large circular knitting machine. The agile process is utilised to build process knowledge, develop a methodology for product design and to defined a descriptive process terminology. In order to further accelerate and digitize the production process, an algorithm is developed and implemented to convert CAD-data into machine readable knitting structures. The paper presents the basics of the 3D-Knit one large circular knitting machines and a defined terminology. Furthermore, process knowledge is built up and from this a sequence of development steps is derived. The development of a 3D-knitted sports bra is presented as a proof of concept of the technology. Further, the first steps for digitalising the product development process are given. The results open up application possibilities in sportswear, upholstery and aerospace with increased productivity and hence cost reduction.


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