Jiankang Wang and Jiuling Xiao
The purpose of this paper is to analyze the detailed content and research framework of a knowledge management audit, from the view of operation flow based on a cognition summary…
Abstract
Purpose
The purpose of this paper is to analyze the detailed content and research framework of a knowledge management audit, from the view of operation flow based on a cognition summary of knowledge management audit proposed by many scholars and organizations, in order to put forward some references for effective implementation of an organization knowledge management project.
Design/methodology/approach
The paper carries out a multi‐perspective analysis of the cognition of knowledge management audit summarizes the similarities and differences between the different viewpoints, also a contrasting analysis on the method proposed by various scholars and organizations from the point of view of flow, and then constructs the conceptive framework of knowledge management audit.
Findings
Knowledge management audit is the first important step in a knowledge management project and includes four phases: preparation, analysis, implementation, and summary. Its primary content involves knowledge management environment audit, knowledge property audit, knowledge management ability audit and knowledge management performance audit, and its main modules consist of knowledge demand analysis, knowledge inventory analysis, knowledge map and knowledge flow analysis.
Research limitations/implications
The paper provides a theoretical construction, but has not conducted a case study. In future research development, the framework of the paper will be improved through the case analysis of organization knowledge management practice.
Practical implications
By utilizing the research framework and method of the paper, an organization may understand rapidly the basic content of a knowledge management audit, implement an effective knowledge management audit to help improve organization (including non‐profit organization) performance and implement a knowledge management strategy.
Originality/value
The paper provides a framework for implementing a knowledge management audit.
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With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and the…
Abstract
Purpose
With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and the social climate of China.
Design/methodology/approach
This study examines 97 severe corruption cases of high-ranking officials in China, which occurred between 2012 and 2015. As this insinuates that both institutional and social corruption are major problems in China, the analysis delves into multiple facts of corruption, including different types, four primary underlying causes, and suggestions regarding the implementation of three significant governmental shifts that focus on investigation, prevention tactics and legal regulations.
Findings
China’s corruption is not only individual-based but also it has developed into institutional corruption and social corruption. Besides human nature and instinct, the causes of corruption can be organised into four categories, namely, social customs, social transitions, institutional designs and institutional operations. For the removed high-ranking officials, the formation of interest chains was an important underlying cause behind their corruption.
Originality/value
This study makes a significant contribution to the literature because this study provides a well-rounded approach to a complex issue by highlighting the significance of democracy and the rule of law as ways to regulate human behaviour to combat future corruption.
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The purpose of this paper is to apply what can be learned from the emergence of nature tourism to understand some current and future trends of tourism.
Abstract
Purpose
The purpose of this paper is to apply what can be learned from the emergence of nature tourism to understand some current and future trends of tourism.
Design/methodology/approach
This study adopted the evolutionary paradigm for investigation.
Findings
The emergence of nature tourism in early medieval China can be attributed to four major factors, including transformation of value orientations, seeking longevity, interest in suburbs and population migration.
Research limitations/implications
Historical studies help understand the current and future trends. When the contributing factors for nature tourism are linked to the contemporary world, it can be found that these factors are still playing a part in shaping tourism trends or patterns in their original or alternative forms. These trends or patterns are worthy of scholarly investigations.
Originality/value
This paper offers a comprehensive understanding of the origins of nature tourism.
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Jianhua Su, Rui Li, Hong Qiao, Jing Xu, Qinglin Ai and Jiankang Zhu
The purpose of this paper is to develop a dual peg-in-hole insertion strategy. Dual peg-in-hole insertion is the most common task in manufacturing. Most of the previous work…
Abstract
Purpose
The purpose of this paper is to develop a dual peg-in-hole insertion strategy. Dual peg-in-hole insertion is the most common task in manufacturing. Most of the previous work develop the insertion strategy in a two- or three-dimensional space, in which they suppose the initial yaw angle is zero and only concern the roll and pitch angles. However, in some case, the yaw angle could not be ignored due to the pose uncertainty of the peg on the gripper. Therefore, there is a need to design the insertion strategy in a higher-dimensional configuration space.
Design/methodology/approach
In this paper, the authors handle the insertion problem by converting it into several sub-problems based on the attractive region formed by the constraints. The existence of the attractive region in the high-dimensional configuration space is first discussed. Then, the construction of the high-dimensional attractive region with its sub-attractive region in the low-dimensional space is proposed. Therefore, the robotic insertion strategy can be designed in the subspace to eliminate some uncertainties between the dual pegs and dual holes.
Findings
Dual peg-in-hole insertion is realized without using of force sensors. The proposed strategy is also used to demonstrate the precision dual peg-in-hole insertion, where the clearance between the dual-peg and dual-hole is about 0.02 mm.
Practical implications
The sensor-less insertion strategy will not increase the cost of the assembly system and also can be used in the dual peg-in-hole insertion.
Originality/value
The theoretical and experimental analyses for dual peg-in-hole insertion are proposed without using of force sensor.
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Jiankang He, Dichen Li, Bingheng Lu, Zhen Wang and Tao Zhang
To present a custom design and fabrication method for a novel hemi‐knee joint substitute composed of titanium alloy and porous bioceramics based on rapid prototyping (RP) and…
Abstract
Purpose
To present a custom design and fabrication method for a novel hemi‐knee joint substitute composed of titanium alloy and porous bioceramics based on rapid prototyping (RP) and rapid tooling (RT) techniques.
Design/methodology/approach
The three‐dimensional (3D) freeform model of a femur bone was reconstructed based on computerized tomography images via reverse engineering and the 3D reconstruction accuracy was evaluated. The negative image of artificial bone was designed with interconnected microstructures (250‐300 μm). The epoxy resin mould of a hemi‐knee joint and the negative pattern of an artificial bone were fabricated on Stereolithography apparatus. Based on these moulds, a titanium‐alloy hemi‐knee joint and a porous‐bioceramic artificial bone were created by quick casting and powder sintering (known as RT) techniques, respectively. After assembling, a composite hemi‐knee joint substitute was obtained.
Findings
The 3D reconstructed freeform model of the femur bone conformed to the original anatomy within a maximum deviation 0.206 mm. The sintered artificial bone had interconnected micropores (250 μm) and microchannels (300 μm). After implanting in vivo, the composite hemi‐knee joint substitute matched well with the surrounding tissues and bones with sufficient mechanical strength.
Research limitations/implications
Further in‐vivo research is needed to provide the evidence for tissue growth into the ceramic structures and long‐term viability and stability of the implant.
Originality/value
This method enhances the versatility of using RP in the fabrication of tissue‐engineered substitutes, especially when individual matching is considered. Although this paper took a customized hemi‐knee joint substitute as an example, it is capable of fabricating other artificial substitutes with a variety of biomaterials.
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Hao Wu, Quanquan Lv, Jiankang Yang, Xiaodong Yan and Xiangrong Xu
This paper aims to propose a deep learning model that can be used to expand the number of samples. In the process of manufacturing and assembling electronic components on the…
Abstract
Purpose
This paper aims to propose a deep learning model that can be used to expand the number of samples. In the process of manufacturing and assembling electronic components on the printed circuit board in the surface mount technology production line, it is relatively easy to collect non-defective samples, but it is difficult to collect defective samples within a certain period of time. Therefore, the number of non-defective components is much greater than the number of defective components. In the process of training the defect detection method of electronic components based on deep learning, a large number of defective and non-defective samples need to be input at the same time.
Design/methodology/approach
To obtain enough electronic components samples required for training, a method based on the generative adversarial network (GAN) to generate training samples is proposed, and then the generated samples and real samples are used to train the convolutional neural networks (CNN) together to obtain the best detection results.
Findings
The experimental results show that the defect recognition method using GAN and CNN can not only expand the sample images of the electronic components required for the training model but also accurately classify the defect types.
Originality/value
To solve the problem of unbalanced sample types in component inspection, a GAN-based method is proposed to generate different types of training component samples and then the generated samples and real samples are used to train the CNN together to obtain the best detection results.