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The paper seeks to improve the understanding of knowledge identification and management in product design by studying designers' cognition and behavior.

Knowledge management becomes an essential process in product design. However, most organizations and designers do not understand what knowledge should and can be managed. Little research is focused on studying the cognitive and social psychological factors within knowledge activities. This paper is mainly focused on knowledge issues in product design. This study focuses on the internal human activities and explores knowledge management research utilizing a human factors perspective.

In this paper knowledge in product design is defined; knowledge in product design is identified and classified based on design decision‐making processes. Furthermore, how to improve the knowledge management process in collaborative decision making is presented.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for information technology support for knowledge management in product design.

Knowledge used in product design is identified and classified. The paper explores knowledge management research by analyzing human activity, in combination with the study of management and engineering technologies.

The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.

In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.

There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for cognitive support for knowledge‐based systems.

Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.

The process of knowledge transfer under the B-O-R-N Model is based on the concepts of knowledge transfer and change of knowledge patterns to create new knowledge. It stimulates learners to learn under the process of knowledge transfer during the learning with an aim to allow learners to achieve the learning outcomes.

This study examines learning according to the B-O-R-N manual to test the effectiveness of learners’ outcomes in the domains of knowledge and learning outcomes for cognitive skills. The teaching is provided by three teachers, and the opinions of 97 sample respondents are surveyed after learning according to the B-O-R-N Model.

The effectiveness of learning outcomes in the domains of knowledge and learning outcomes for cognitive skills of the learners who were taught by different teachers was similar: the learners’ scores exceeded the set-up criteria in all aspects. Also, the learners were satisfied with the activities in the B-O-R-N Model at the highest level, which demonstrated that the knowledge transfer during the learning activities was an important factor which affected the learning outcomes of the undergraduate computer learners effectively.

The knowledge management which happens during the B-O-R-N Model process is the creation of the new learning environment which allows learners to learn together and use mixed skills that can be applied in real situations. It encourages learners to have sustainable learning and the potential to develop themselves, resulting in the development of the economy and a knowledge-based society, as well as the enhancement of the country’s competitiveness.

The purpose of this paper is to provide the historical background of genealogical records and analyze the value of Chinese genealogical research through the study of names and genealogical resources.

The paper examines the historical evolution and value of Chinese genealogical records, with the focus on researching the Islamic Chinese names used by the people living in Guilin. The highlight of this paper includes the analysis and evolution of the Islamic Chinese names commonly adopted by the local people in Guilin. It concludes with the recommendations on emphasizing and making the best use of genealogical records to enhance the research value of Chinese overseas studies.

The paper covers the history of Islam and describes how the religion was introduced into China, as well as Muslims' ethnicity and identity. It also places focus on the importance of building a research collection in Asian history and Chinese genealogy.

This research study has a strong subject focus on Chinese genealogy, Asian history, and Islamic Chinese surnames. It is a narrow field that few researchers have delved into.

The results of this study will assist students, researchers, and the general public in tracing the origin of their surnames and developing their interest in the social and historical value of Chinese local history and genealogies.

The study of Chinese surnames is, by itself, a particular field for researching the social and political implications of contemporary Chinese society during the time the family members lived.

Very little research has been done in the area of Chinese local history and genealogy. The paper would be of value to researchers such as historians, sociologists, ethnologists and archaeologists, as well as students and anyone interested in researching a surname origin, its history and evolution.

The purpose of this paper is to study the dispersion and tribological properties of liquid paraffin with aluminum nanoparticles as additive, which are prepared by the surface‐modification method using oleic acid (OA).

The dispersion stability of aluminum nanoparticles in liquid paraffin is measured by spectrophotometry, which can be optimization by Taguchi method. The tribological properties are evaluated by using a ball‐on‐ring wear tester.

The results show that few concentrations of aluminum nanoparticles as additives in liquid paraffin have better antiwear and antifriction properties than the pure paraffin oil. Scanning electron microscopy and energy dispersive spectrometer analyses can show that the thin films on the rubbing surfaces can be formed by these aluminum nanoparticles, which not only bear the load but also separate the both interfaces, thus the wear and friction can be reduced.

Machine components and mechanism pairs rely on high‐quality lubricants to withstand high temperature and extreme pressure. Extreme pressure and antiwear additives are typically adopted to improve the tribological performance of a fluid lubricant in reducing friction and surface damage under severe conditions.

The purpose of this paper is to discuss the dispersion capacity and tribological behavior of liquid paraffin added by diamond nanoparticles.

The structure of the modified diamond nanoparticles which are prepared by oleic acid (OA) is observed by scanning electron microscopy (SEM) and infrared spectroscopy (IR). The dispersivity of these nanoparticles in liquid paraffin is measured by nanoparticle analyzer. The tribological behavior of adding diamond nanoparticles in liquid paraffin is evaluated by using a ball‐on‐ring wear tester.

The measurement results reveal the dispersion capability of OA modified diamond nanoparticles and indicate the dispersing stability in liquid paraffin of the OA which is bonded to the surface of diamond nanoparticles through esterification. It is found from wear testing results that the diamond nanoparticle as additive in liquid paraffin at proper concentration shows better tribological properties for anti‐wear (AW) and antifriction than the pure paraffin oil and different AW ability depending on the particle size.

It is shown in the paper that by reducing friction and AW, the lubricant prepared by the methods described can prolong operating hours of machinery.

It is widely accepted that enterprises obtaining academic discoveries through R&D collaboration improve their innovation performance. However, it is not necessarily true in emerging economies, such as China and post-socialist countries in Europe. The purpose of this paper is to fill the gap by investigating how R&D collaboration between industry and academia (i.e. universities and research institutes) affects the industrial innovation performance; and whether and how intermediaries moderate their relationships.

This paper constructs the research model according to the knowledge production function, and the pooled ordinary least square regression is used to verify our hypotheses.

Evidence from a sample of Chinese industrial enterprises in thirty provinces spanning from 2009 to 2014 suggests that R&D collaboration with research institutes (CWR) is positively related to innovation output, while R&D collaboration with universities (CWU) exerts negative effect on innovation output measured by sales revenue of new product (NPSR). The significant moderating role of technology transfer institutions is confirmed in the negative relationship between CWU and NPSR.

This paper empirically examines the moderating role of intermediary organisations in academia–industry cooperation and industrial innovation, and has practical implications for the government to formulate policies to improve the quality and effectiveness of cooperation between academic and industrial sectors. These results vary in inland and coastal areas, which suggest the policy makers to formulate policies according to local conditions not only in China but also in other countries, like European countries.

The Agri-Food supply chain (AFSC) conventionally suffers from multifaceted transparency, integration, traceability, product quality, and many more. Recently, various digital technologies have emerged, which reflect the potential to address the majority of such concerns. This chapter is an effort toward developing a vision for the future of the agri-food supply chain through digitalization. The technologies prominently covered in the chapter are the internet of things (IoT), blockchain, and artificial intelligence (AI). Different challenges the agri-food supply chain participants perceived in implementing digital technologies were identified through literature review and primary survey. The significant challenges are trained workforce, funds availability, and clarity on economic gains from digitalisation. In conclusion, few strategies toward the implementation of digital technologies in agri-food supply chains are discussed.

The purpose of this paper is to examine the relationship between open innovation (OI) and innovative performance, and to explore the moderating effect of knowledge structure, including component knowledge and architectural knowledge, on this particular relationship.

The proposed model was tested with regression analysis of data collected through a questionnaire survey of 231 employees of Chinese manufacturing firms.

The findings indicate that inbound OI is positively related to innovative performance and that outbound OI has an inverted U-shaped effect on innovative performance. By presenting empirical evidence of the moderating effects of component and architectural knowledge, our analysis of results demonstrates that the strong alignment between knowledge structure and OI results in superior innovative performance.

This study addresses the controversial issues brought up by previous studies with findings of an inverted U-shaped effect of outbound OI on innovative performance. By exploring the moderating effect of knowledge structure, the authors provide insights into how internal contextual factors in relation to organizational knowledge can affect the efficacy of the inbound and outbound OI on innovative performance.