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Higher education informatization (HEI) is an interdisciplinary field that examines the use and integration of information and communication technologies (ICTs) in higher education. This paper provides a bibliometric and visual analysis of the research trends, patterns, and topics in this field. Using the Web of Science database, the authors selected and analyzed 199 SCI and SSCI papers on HEI published from 2000 to 2023 by VOSviewer and CiteSpace software. The results indicate that the publication volume of HEI research has grown significantly in recent years. The author network shows the collaboration and contribution of different researchers and institutions, while the journal network reveals the multidisciplinary nature and scope of the field. The keyword network and the burst keyword analysis identify the main research themes and the emerging hot topics in HEI. The co-citation network of sources illustrates the theoretical and methodological foundations and influences of the field. The paper concludes with some implications and suggestions for future HEI research.

Purpose: Learning and development are critical to a business's success. This paper aims to focus on organizational factors at multiple organizational levels that facilitate learning culture in a small- and medium-sized enterprise (SME) in northwestern China. Design/methodology/approach: This study is qualitative in nature. A single case study method is used to explore an SME's organizational factors that facilitate learning culture. Findings: This paper categorizes the organizational factors into seven dimensions: shared vision, creating continuous learning opportunities, informal learning that promotes inquiry and dialogue, collaboration and team learning, knowledge management systems, work-family enrichment and encouragement and support. This paper also compares the findings with learning culture models from Western research. Research limitations/implications: Chinese culture has far-reaching and fundamental effects on many East Asian countries and regions. For SMEs in similar cultural settings with a collectivist orientation, future research may focus on the effect of the work-family enrichment on learning culture. Originality/value: Work-family enrichment was found to be an important factor that influences learning effectiveness in this Chinese small business based on traditional values in Chinese culture.

This paper aims to identify the current state of knowledge management (KM) diffusion in LIS schools. In terms of content, we have identified two principal approaches to the perception of KM in the LIS community: an active approach, seeing KM as an opportunity for the LIS community to change; and a passive approach, seeing KM merely as a topic of information management with a new label. Our research analyzed study programs at 145 LIS schools and in 188 LIS study programs in the United States, Canada, Europe (in particular, Russia), Australia, India, South Africa, China, Japan, Singapore, and Brazil and observed the inclusion or non-inclusion of KM courses in those programs. We employ a narrower approach to defining a KM course as being one having the term "knowledge management" in its name. The findings indicate that KM courses are integrated in one-third of the LIS study programs analyzed, and in schools with an information science focus this figure can rise to around 45%. Given the importance of this area and various views regarding KM diffusion in LIS schools, we recommend that those who have already implemented a KM course in their LIS programs create an informal community of practice (CoP) on KM implementation in LIS schools and build an open database of lessons learned from such integration, thereby capturing and sharing this crucial knowledge in a single place.

Recently, frequent flood disasters in China have seriously threatened economic development and public safety. This paper addresses the need for a dynamic urban flood emergency knowledge management system in emergency management departments and the lack of systematic knowledge among emergency managers regarding urban flood control. A multimodal knowledge graph-based urban flood emergency knowledge management model was constructed to enhance the decision-making capabilities of emergency management departments, improve the efficiency of public emergency evacuation, and reduce losses from urban flood disasters by analyzing the shortcomings of the existing emergency management system. An intelligent and dynamic flood emergency knowledge management model was built. This paper integrates multimodal knowledge graph technology to establish a multimodal emergency knowledge management framework for urban flood control. It develops and simulates the proposed model's application scenarios for urban flood emergency evacuation using the Flocking algorithm on the NetLogo platform. Through simulation experiments, the practicality and effectiveness of the model in real flood disaster situations were examined, particularly in simulating crowd evacuation behavior. The study found that the model significantly improves the accuracy of information and decision-making speed during emergency responses and supports emergency management departments in conducting targeted and personalized emergency decisions. This research provides a scientific basis for emergency management departments to optimize their emergency response strategies to flood disasters and serves as a reference and example for the application of multimodal knowledge graph technology in emergency management. [ABSTRACT FROM AUTHOR]

This paper shows a systematic literature review using HistCiteTM in the context of factor market misallocation in China. Four key research streams are identified: government intervention; misallocation explanation; market distortion and regional factor distortion. Further, the paper identifies three emerging research streams: endogeneity; legislation relating to factors of production; and knowledge management. Factor markets misallocation has been a lasting problem since the market‐oriented reform implemented by the Chinese Government. The academic literature review mainly focuses on the misallocation under Chinese national situation. [ABSTRACT FROM AUTHOR]

Knowledge sharing should not be confused neither with data sharing nor with information sharing; the knowledge sharing includes data and information sharing, skills and expertise communication, ideas exchange. Since the fourth FOCAC held in Egypt in 2009, many policies have been added to reinforce Africa and China educational cooperation, especially in the area of higher education. And this paper intends to look more closely at this area, particularly with regards to the possibility of establishing and strengthening knowledge sharing, ideas exchange between Africa and China, through African and Chinese students' partnership. Based on the documented trends on Africa and China higher education cooperation, partnership and exchanges, questionnaire surveys, interviews and observations, the author tries to find out whether African students who are studying in China will to collaborate or not with Chinese students during their studies and researches. What are their motivations to cooperate with their Chinese classmates, and how should we beef up and promote knowledge sharing between African and Chinese people through University students' knowledge sharing partnership?

The construction of teaching resource library should reflect the characteristics about the school and meet the needs of the personnel training; it is particularly significant for the development of ethnic minority colleges and universities. Through the analysis of the present situation of the construction about teaching resources in ethnic minority colleges and universities and the research practice of the teaching resources in Northwest University for Nationalities, this paper puts forward to construct the teaching resource library in Ethnic Minority University, and analyzing the function of the various modules about the public service platform.

Knowledge management, especially, tacit knowledge management, is a significant guarantee for the sustainable development of universities. The transfer of college teachers' tacit knowledge is the key and difficult point in tacit knowledge management of universities. This paper starts from the existence and application condition of college teachers' tacit knowledge in China and puts forward countermeasures and suggestions for college teachers' tacit knowledge management.

In view of the decisive role played by knowledge ontologies and their linked data in knowledge organization, an effective initiative involving both is necessary for research on stele inscriptions. The absence of this will not only hinder the acquisition of stele inscription knowledge but also affect the further exploration of its value. In response to the research demand of scholars in the field of stele inscriptions, a knowledge organization initiative designed for the digital resources of ancient Chinese stele inscriptions is developed in this paper. The adoption of a bottom-up method makes it possible to abstract the knowledge ontology model from the existing mature metadata of stele inscriptions, improving the quality of the ontology itself as well as guaranteeing its compatibility with the existing digital resources of stele inscriptions. On this basis, this paper deals with the process and key steps involved in the knowledge organization of stele inscriptions and the construction of linked data. The knowledge organization initiative discussed in this paper will serve as dedicated support for digital academic research in the field of stele inscriptions and will provide a valuable reference for the design of a knowledge organization initiative in the field of cultural heritage in China and beyond. [ABSTRACT FROM AUTHOR]

Land use and land cover (LULC) changes are of vital significance in fields such as environmental impact assessment and natural disaster monitoring. This study, through an analysis of 1432 papers over the past decade employing quantitative, qualitative, bibliometric analysis, and knowledge graph techniques, aims to assess the evolution and current landscape of deep learning (DL) in LULC. The focus areas are: (1) trend analysis of the number and annual citations of published articles, (2) identification of leading institutions, countries/regions, and publication sources, (3) exploration of scientific collaborations among major institutions and countries/regions, and (4) examination of key research themes and their development trends. From 2013 to 2023 there was a substantial surge in the application of DL in LULC, with China standing out as the principal contributor. Notably, international cooperation, particularly between China and the USA, saw a significant increase. Furthermore, the study elucidates the challenges concerning sample data and models in the application of DL to LULC, providing insights that could guide future research directions to accelerate progress in this domain. [ABSTRACT FROM AUTHOR]

Purpose: A corporate university is a knowledge management institution established within an enterprise. The purpose of this paper is to investigate the evolution of knowledge activities of corporate university and their relationship, particularly the role of networking in the knowledge management. Design/methodology/approach: Haier, which had the earliest Chinese corporate university in the science and technology manufacturing industry, was employed as a case study. Data were collected by interviews and through consulting the documents of Haier's corporate university. Grounded theory was used for data analysis. Findings: The paper finds that corporate universities are engaged in three kinds of activities, namely, enterprise operational knowledge transfer, networking activities and scientific and technological activities. There is a dynamic circular relationship among these three kinds of activities, which form a "figure of eight" cycle model. Networking activities are the hub between enterprise operational knowledge transfer and scientific and technological activities. There is a two-way integration of enterprise operational knowledge transfer and science and technological activities via networking activities. Networking activities, thus, play a key role in the development of corporate universities into knowledge management centers. The scope of the key activities of corporate universities is dynamic and expanding. The double circulation effect among key activities in corporate universities has strengthened over time. Originality/value: By investigating the dynamic nature of the activities of corporate universities, particularly the role of networking in knowledge management, this research enriches the study of the knowledge management of corporate universities. [ABSTRACT FROM AUTHOR]

This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a semantic gene (knowledge ontology) into the model, Learning Call can flexibly describe the internal structure and external relations of learning resources, allowing the evolution of learning resources to occur in an orderly way. Furthermore, by employing a computational model of a social cognition network, Learning Cell enables not only materialize resource sharing but also the sharing of social cognition networks. Finally, by separately deploying resource structures and resource content in the cloud storage model, Learning Cell achieves context awareness of ubiquitous learning (u-learning) resources. Learning Cell represents a resource aggregation model that is different from the learning object model. It makes up for the defects of existing learning technologies in the following areas: the sharing of process information and social cognition networks, the intelligence of resources, and the evolution of content. Learning Cell provides a theoretical framework of u-learning resource organization.

Knowledge map is a new method of knowledge management with the information revolution. This paper is aimed at forming a systematic and standardized huge redundant knowledge structure, which can be used to mine the knowledge structure and the relationship between knowledge and visualize it in a graphical way, in order to obtain more representative information and improve the classification accuracy of text classification model. In this paper, a knowledge map construction method based on the Text CNN algorithm is proposed for the subject of Nautical English. It is of practical significance and academic value to make use of knowledge map to study Chinese Maritime English, which is helpful to the development of Chinese Maritime English and provides guidance. In order to maintain the diversity of particle swarm optimization, the Text CNN algorithm is combined with the construction of Maritime English subject knowledge map, and the network parameters and structure are optimized. Using knowledge map to study China Maritime English has important practical significance and academic value and has certain guiding significance for the development of China Maritime English. [ABSTRACT FROM AUTHOR]

The development of digital technology has brought great impact and changes to the management practice of Chinese manufacturing enterprises. Improving the digital ability of enterprises, so as to improve the internal and external environment adaptability of enterprises, and enhancing the resilience of enterprises is an urgent consideration for every enterprise. Based on the theory of Dynamic ability and Knowledge management, this paper discusses the internal action mechanism of digital ability (digital technology application ability and digital resource integration ability) on organizational resilience, and verifies the intermediary role of Ambidextrous innovation and the regulatory role of knowledge management. This paper uses a sample of 400 senior managers of Chinese manufacturing enterprises to conduct empirical research, and the results show that: number Positive relationship between digital resource integration and organizational resilience; digital capability positively affects Ambidextrous innovation; Ambidextrous innovation partially mediates digital capability and organizational resilience; and knowledge management mechanism positively regulates the relationship between digital capability and organizational resilience. This paper puts forward management suggestions from the perspective of improving enterprise digital capability and enhancing organizational resilience, which provides inspiration and reference for enterprises to deal with unexpected threats and respond to crisis changes. [ABSTRACT FROM AUTHOR]

This paper provides an evaluation framework to explore the linking mechanisms between customer knowledge management competence (CKMC) and Balanced Scorecard (BSC). With a case study from Chengdu-Chongqing Economic Circle of China, this paper attempts to empirically justify the framework. An index system was established for evaluating CKMC based on BSC and knowledge management process, the weight design and consistency check of the indexes were implemented by using the analytic hierarchy process (AHP), and the overall evaluation value and concrete index scores at all levels were obtained via the fuzzy evaluation method. Empirical results show that CKMC performance measurement indicators were ranked in order of importance as Business process performance dimensions (0.465), System support dimensions (0.289), Customer communication dimensions (0.152) and Market performance dimension (0.094). It also shows that the overall score of CKMC was 3.404, reflecting that the CKMC was in a state of general satisfaction. This research also identifies key factors hindering implementation of CKMC, including Attention from senior leaders (2.871), customer knowledge sharing efficiency (2.928), and information technology level (3.133). This research could contribute to CKM theory by extending customer knowledge management competence research with BSC initiatively. For practitioners, this study may provide useful suggestions to identify key factors promoting business CKMC, and finally promotes sustainable development of Agritourism. [ABSTRACT FROM AUTHOR]

Although recognised as useful, ambidextrous innovation also presents unique managerial challenges particularly when exploration and exploitation are pursued simultaneously. The paper aims to explore the forming mechanisms of firm's ambidextrous innovation capabilities using the main approaches in strategic management. The authors theoretically examine the direct effects of the digital economy (DE) on ambidextrous innovation capabilities and the mediating effect of knowledge acquisition (KA) and use the stepwise regression method to conduct an empirical analysis of 178 high-tech companies listed in China's A-share market from 2013 to 2019. The empirical results show that DE has significantly promoted the ambidextrous innovation capabilities of firms, and also has a significant positive impact on the balance effect between exploratory innovation and exploitative innovation; DE has a significant positive impact on both external knowledge acquisition (EKA) and internal knowledge creation; KA has a significantly positive effect on exploratory innovation, exploitative innovation and their balance effect, and the effect of KA on exploratory innovation is greater than that on exploitative innovation. Furthermore, KA plays a significantly mediating role in the relationship between DE and exploratory innovation/exploitative innovation. The findings of our study provide insights for knowledge management research and have important guiding significance for promoting ambidextrous innovation capabilities of firms in DE. [ABSTRACT FROM AUTHOR]

This paper tries to investigate the future development tendency of five typical industries in China and find out whether there exists a different innovation strategy preference between Chinese firms of low- and high-knowledge density industry in the background of low-carbon sustainable development. First, this paper finds that the innovation driven-based trend of industrial development is further accelerated in China. Firms in industries with high knowledge and technology density, such as specialized-supplier, scale-intensive, and science-based industries, are more likely to choose exploratory innovation strategy than exploitative innovation strategy. Firms in industries with low knowledge and technology density like service- and supplier-dominated industries are more likely to choose the exploitative innovation strategy. Second, results indicate that exploratory innovation can bring higher technological innovation performance than exploitative innovation. And the effect of the ambidextrous strategy is better than the single exploitative strategy in industries with high knowledge and technology density like specialized-supplier, scale-intensive, and science-based industries. Third, this paper suggests that innovation strategy preference plays a mediating role between industry type and technology innovation and a moderating effect of knowledge management capacity between innovation strategy and firms' technology innovation. [ABSTRACT FROM AUTHOR]

Research on innovation management and technology transfer in China is in its early stages and growing rapidly, as technology is transferred to Chinese organizations and the organizations themselves create innovations. The studies to date provide promising theoretical ideas, but specific findings should be regarded as tentative, due to the research designs and methods employed. As with early research on innovation in the West, it is likely that these early studies of innovation in China will have significant impact on innovation research and practice in the future, both in China and throughout the world. [ABSTRACT FROM AUTHOR]

New product development is an important driver of sustainable enterprise development. It is necessary to promote the knowledge sharing of heterogeneous individuals such as design, technology, market, and sociologists. This paper discusses the influence of negative individual knowledge management from the perspective of knowledge-sharing hostility and knowledge manipulation on the performance of new product development. To examine our hypotheses, we conducted a questionnaire survey of 438 employees in China. The results show that although knowledge manipulation contributes to individual innovation performance, it has an inverted U-shaped curve relationship with the team's product development performance. The hostility of knowledge sharing induces knowledge manipulation, which indirectly influences the performance of new product development. The coordination flexibility of R&D teams positively moderates the impact of knowledge manipulation on new product development. Implications and future research directions are discussed. [ABSTRACT FROM AUTHOR]

Construction safety standards (CSS) have knowledge characteristics, but few studies have introduced knowledge graphs (KG) as a tool into CSS management. In order to improve CSS knowledge management, this paper first analyzed the knowledge structure of 218 standards and obtained three knowledge levels of CSS. Second, a concept layer was designed which consisted of five levels of concepts and eight types of relationships. Third, an entity layer containing 147 entities was constructed via entity identification, attribute extraction and entity extraction. Finally, 177 nodes and 11 types of attributes were collected and the construction of a knowledge graph of construction safety standard (KGCSS) was completed using knowledge storage. Furthermore, we implemented knowledge inference and obtained CSS planning, i.e., the list of standard work plans used to guide the development and revision of CSS. In addition, we conducted CSS knowledge retrieval; a process which supports interrogative input. The construction of KGCSS thus facilitates the analysis, querying, and sharing of safety standards knowledge.

Current debates on organizational learning distinguish between two distinct and mutually exclusive learning modes: exploration and exploitation. This paper deals with the concept of ambidextrous routines in knowledge management (KM) initiatives. Specifically, drawing on a sample of 1468 MNEs from 24 regions in China, we find that a synergetic combination of explorative and exploitative virtual knowledge is positively associated with MNE performance. In contrast, an imbalance between explorative and exploitative virtual knowledge hurts MNE performance. Furthermore, the effect of imbalanced ambidexterity in virtual knowledge sharing is moderated by the cultural distance in the uncertainty avoidance between the R&D team and the region where the team operates. This paper elaborates on the characteristics of ambidextrous KM initiatives at the micro-level; firms use ambidextrous KM practices to create a learning context, defined by guidelines and methods rather than by a definite purpose. The clear separation of KM initiatives' purpose and their embedded learning routines and methods enables them to be used ambidextrously. Furthermore, this analysis indicates that ambidextrous KM initiatives follow a path characterized by an increasing variety of purposes but a decreasing variety of underlying structures. Consequently, firms create a learning context that can be activated when necessary in ways required in an exploratory and/or in an exploitative mode. [ABSTRACT FROM AUTHOR]

Purpose: Learning and development are critical to a business's success. This paper aims to focus on organizational factors at multiple organizational levels that facilitate learning culture in a small- and medium-sized enterprise (SME) in northwestern China. Design/methodology/approach: This study is qualitative in nature. A single case study method is used to explore an SME's organizational factors that facilitate learning culture. Findings: This paper categorizes the organizational factors into seven dimensions: shared vision, creating continuous learning opportunities, informal learning that promotes inquiry and dialogue, collaboration and team learning, knowledge management systems, work–family enrichment and encouragement and support. This paper also compares the findings with learning culture models from Western research. Research limitations/implications: Chinese culture has far-reaching and fundamental effects on many East Asian countries and regions. For SMEs in similar cultural settings with a collectivist orientation, future research may focus on the effect of the work–family enrichment on learning culture. Originality/value: Work–family enrichment was found to be an important factor that influences learning effectiveness in this Chinese small business based on traditional values in Chinese culture. [ABSTRACT FROM AUTHOR]

Cloud computing (CC) has been a buzzword in recent years. The application of cloud computing has been seen in almost all domains. It has also sparked interest in Libraries and the Information field because it provides new solutions to the emerging problem. The study aims to map LIS's global cloud computing literature between 2010 and 2021. Scientometric methods were employed to gauge the global research performance on cloud computing LIS. The analysis also identifies the leading countries, Institutions, authors, sources, funding agencies, authorship pattern, international collaboration, and most used author keywords on CC literature in LIS. The research data were retrieved from the Scopus database. 808 publications were downloaded and analyzed with the help of bibliometric tools such as Biblioshiny, Bibexcel, VOSviewer, and Microsoft Excel. The study results showed that research on cloud computing in LIS has a mounting trend in publications and citations during the 12-year study period. The highest number of research papers were published in 2020 (n=135), China produced the maximum research in the field with 194 publications, and the top three organizations identified from Taiwan contributed the maximum research. Cloud computing, big data, and Knowledge Management were acknowledged as LIS researchers' most important research area. However, e-learning, library services, systematic reviews, bibliometrics, and blockchain have gained recent research absorption. Two authorship patterns were the most prevalent among the LIS researchers, and the authors from China and the USA preferred to collaborate highest in the field. [ABSTRACT FROM AUTHOR]

This study aimed to explore the influence the value modularity and a firm's innovation performance, directly and indirectly, using knowledge management as mediating variable. Moreover, in this study, we used the resource integration ability as a moderator between the relationship value modularity and firm innovation performance. We collected data from the Chinese state-owned and state-controlled high-tech firms from 2011 to 2018. In this study, we used the gray comprehensive evaluation method to test the degree of value modularity, and hierarchical regression analysis is used to analyze the relationship among variables. The outcomes of this study indicate that value modularity and firm innovation performance has inverted U-shaped and significant association. Similarly, results also confirm that knowledge acquisition and knowledge internalization mediate the relationship between value modularity and firm innovation performance. The finding of this research also confirms that resource integration ability negatively affects the relationship between value modularity and firm innovation performance. This paper enriches the research of the value modularity and gives certain inspiration to knowledge management. At the end of this study, we also suggest some significant practical implications. [ABSTRACT FROM AUTHOR]

Drawing on the complementary asset theory, this paper develops a conceptual model to explain the relationships among intrafirm knowledge sharing, knowledge application, and innovation as well as the moderating effect of entrepreneurial orientation (EO) on the intrafirm knowledge sharing and knowledge application. Using a sample of 607 Chinese firms, this paper empirically examines this model. The results show that, under China's transition economy, the positive relationship between intrafirm knowledge sharing and a firm's innovation is mediated by knowledge application. Furthermore, intrafirm knowledge sharing facilitates knowledge application, and EO positively moderates this relationship. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

From 1978 to 2004, China's GDP growth rate has been 9.4% annually. In 2005, China's GDP growth rate was 9.9%, which at $2,278 billion currently is ranked number four in the world. This paper discusses the significance of transforming research findings in data mining and knowledge management (DMKM) to support China's economic development as well as the trend of DMKM applications in China. It first reviews development of DTKM in international communities and industries, which includes academic activities and business applications tools. Second, this paper outlines the significance and needs of DTKM in China's economic development, as to promote further DMKM research, innovatively produce new business intelligence tools, and effectively adopt existing commercial software packages. Finally, the paper observes some problems and challenges of using DMKM to support China's economy. [ABSTRACT FROM AUTHOR]

The paper puts forward a new Chinese concept of ‘Wu Liu’ (material flow) which is different from the concepts of logistics and physical distribution popular in the West and Japan in four aspects: characteristics, contents, properties and applications. The paper points out that the research on material flow science and technology in China has lagged far behind, especially in the application aspect of material flows which is not in line with the position that material flow holds as the third biggest backbone industry group of the national economy. The paper also discusses issues in researching material flow in economic development, social development, as well as natural sciences. At the end, a framework of material flow science and technology is proposed which includes four components: disciplines supporting material flow science and technology, engineering and technological disciplines supporting material flow science and technology, theoretical disciplines supporting material flow science and technology, and other disciplines supporting material flow science and technology. About forty disciplines are related to material flow science and technology which need to be either built or enhanced. Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Purpose - The purpose of this paper is to identify why and how organizational network legitimacy facilitates firms' access to knowledge networks and reciprocal knowledge exchange between stakeholders. Design/methodology/approach - The study involves a managerially oriented inductive interpretative research, with empirical evidence sourced from a single in-depth case study, complemented by hands-on experience with the industry. Findings - Subsidiaries of multinationals operating in China's politically sensitive and protective mobility technology market have stronger proactive and collaborative aspirations towards exploiting emerging technological opportunities in the external environment and developing technological capabilities because they are more inclined to pursue organizational network legitimacy initiatives. Research limitations/implications - How organizational network legitimacy is produced, where does it become manifest, and at what administrative layers within China's politically sensitive and protective telecommunications are systematic empirical research questions that could be examined in the future. Practical implications - Internalizing, driven only by market and/or technology legitimacy, falls short of realizing the organizational network legitimacy goal. It must also include cognitive understanding of the net sum of relational, investment and social legitimacies, as these are cognitively binding as well as benefiting with respect to subsidiaries of multinationals in accessing knowledge networks. Originality/value - The paper underscores the importance of studying organizational network legitimacy and how it impacts on firms' access to knowledge networks, in a politically sensitive and protective Chinese mobility technology market. [ABSTRACT FROM AUTHOR]

In this paper Chinese foreign invested enterprises (FIEs) are employed as prototypes to generate a model of how transnationals can transfer both tacit and explicit knowledge between their units as well as between FIEs and the parent organization. We propose that successful intra-organization knowledge transfer depends upon: (1) collective creation of knowledge as intellectual and social capital available throughout the organization; (2) trust-based collaboration among geographically dispersed entities that form the transnational organization; and (3) the willingness and ability of organizational units to use that knowledge. The paper further proposes that organizational knowledge should ideally flow in multiple directions, providing learning opportunities for both investing and host organizations. Implications for transfer of best practices, a specific form of tacit knowledge, are also offered. [ABSTRACT FROM AUTHOR]

Expert knowledge has been proved by substantial studies to be contributory to higher forecasting performance; meanwhile, its application is criticized and opposed by some groups for biases and inconsistency inherent in experts' subjective judgment. This paper proposes a new approach to improving forecasting performance, which takes advantage of expert knowledge by constructing a constraint equation rather than directly adjusting the predicted values by experts. For the comparison purpose, the proposed approach, together with several widely used models including ARIMA, BP-ANN and the judgment model (JM), is applied to forecasting the container throughput of Guangzhou Port, which is one of the most important ports of China. Forecasting performances of the above models are compared and the results clearly show superiority of the proposed approach over its rivals, which implies that expert knowledge will make positive contribution as long as it is used in a right way. [ABSTRACT FROM AUTHOR]

With the advent of the Internet, we have entered into the information age, which makes it possible and easier to obtain a large number of representatives data. On the other hand, with the rapid improvement of computer hardware, and software especially the computers speed, and the ability of the computer has been greatly improved. Data-driven and algorithm applications of modern artificial intelligence models have been widely used in various fields. Solving problems through machine learning has become a way of thinking that all industries are willing to study to reduce labor costs and improve processing efficiency. Beijing Formax Co., Ltd. takes advantage of its own data processing jobs to apply machine learning technology to some projects, and has achieved good results. This paper focuses on the application of artificial intelligence and Beijing Formax's knowledge service for the publishing industry in the era of big data including several typical cases. [ABSTRACT FROM AUTHOR]

Graphical abstract Highlights • We developed criteria to assess KM interactions that can be applied more widely. • Limited research has examined KM across the environment-policy interface in China. • Why was KM undertaken? Mainly to develop solutions and change agricultural practice. • How was KM done? Science-policy interactions were mainly one-way and/or ICT-based. • Future Chinese KE research would help inform evidence-based environmental policy. Abstract Global to local environmental policy-making is increasingly evidenced-based. Knowledge management (KM) is increasingly used by environmental scientists and policymakers, to deliver evidence-based policy and practice. There is thus an urgent need to identify whether and how knowledge is exchanged between knowledge producers and users in environmental science fields. Here we apply an assessment framework developed in social medicine to identify what forms of environmental knowledge are exchanged, and why and how they are exchanged. We focussed on China, as international research to better manage Chinese ecosystem services is rapidly-increasing, yet, how to best integrate this into political decision-making and the public realm remains a challenge. How KM is practiced in China is unknown. We addressed this through: 1) a systematic analysis of published KM research in China compared to global trends; 2) evaluating KM for environmental policy and management in China; 3) quantitative surveys of Chinese (n = 72) and British (n = 16) scientists researching Chinese environmental problems. The systematic literature review of two databases identified two key findings. One, of 291 papers that considered KM there were no papers in the environmental sector examining the science-policy-practice interface in China. Two, only 13 of 423 potentially relevant papers explicitly examined KM for environmental topics, notably for agriculture and information exchange (the 'What?'). Most papers reported a one-way interaction between scientists and users (the 'How?'), used to change practice (the 'Why?'). Our survey showed significantly-less awareness and use of two-way knowledge exchange (KE) methods by Chinese scientists. The paucity of documented KM research and limited evidence for two-way interaction show KE at the environmental science-policy-practice interface in China is limited. Promotion of KE practice may benefit environmental policy-making in China. We have also shown that conceptual frameworks for mapping and assessing KE practice from social medicine can be usefully adapted for examining environmental science – policy interfaces. [ABSTRACT FROM AUTHOR]

Recently, the evaluation of knowledge management has become increasingly significant. Nevertheless, few relevant studies explicitly distinguished knowledge management performance from knowledge management effectiveness. This paper covers both sides and introduces a new knowledge management measurement index. It establishes a comprehensive evaluation model by measuring three stages of knowledge management behavior: environmental analysis, knowledge management activity planning, and knowledge management implementation decision making. Data were collected through questionnaires from 100 small and medium sized enterprises in China. The statistical results show that the three stages positively and significantly contribute to the index. The environmental analysis influences most, with the knowledge management activity planning less and the knowledge management implementation decision making least. Finally, it proposes some useful suggestions for enterprises to assess, to predict and to guide their knowledge management practice. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to employ the theory of reasoned action (TRA) as a theoretical framework to investigate factors affecting individuals' attitudes toward knowledge sharing in construction teams in Hong Kong. Specifically, the factors are analyzed from a cost and benefit perspective grounded in social exchange theory. Design/methodology/approach – An exploratory study using semi-structured interviews is conducted first to explore context-specific cost and benefit factors. Based on the exploratory study results and TRA, a research model and hypotheses are developed. A questionnaire survey is then conducted among professionals working in contractors in Hong Kong. The quantitative data are analyzed using structural equation modelling. Findings – The research results indicate that individuals' attitudes toward knowledge sharing are positively affected by knowledge self-efficacy and knowledge feedback, while negatively affected by losing face. Further, it is revealed that attitude toward knowledge sharing significantly determines intention to share knowledge, which then determines knowledge sharing behavior. Originality/value – The paper is one of the first to employ existing theories in social psychology to examine knowledge sharing behavior in the construction sector. The research results provide important implications for construction companies to promote knowledge sharing in project teams. [ABSTRACT FROM AUTHOR]

Purpose — The purpose of this paper is to examine the impact of the substantial expansion in the labour force between 1997 and 2004 on the proportion of the Irish workforce that can be categorised as working in knowledge occupations. Design/methodology/approach — The Quarterly National Household Survey was used to estimate the trend in knowledge type work at the national level for the period 1997 to 2004, specifically examining which specific occupations are increasing over this period. Findings — Employment growth occurred relatively equally at the high-, middle- and low-skill occupational levels, indicating the continuing importance of intermediate and particularly low-skill occupations in the structure and expansion of the Irish labour force. Research limitations/implications — There are substantial problems with the use of broad occupational level data as a proxy to measure the extent of knowledge occupations. It would be useful to consider adopting the Australian Standard Classification of Occupations as it includes the complexity of the set of tasks involved in a job, formal education, training and previous experience. Practical implications — The findings indicate the continuing importance of intermediate and low-skill occupations as well as high-skill occupations in the structure and expansion of the Irish labour force. Government training and education policy needs to target resources across a broad range of skills and occupations. Originality/value — The paper provides a profile and analysis of occupational changes in the Irish labour market. [ABSTRACT FROM AUTHOR]

Knowledge sharing has been the focus of research for more than a decade and it is widely recognized that it can contribute to the success of an organisation. However, in comparison with other countries, relatively little work on this topic has been done in the Chinese context. Knowledge sharing is particularly interesting to study in the Chinese context at the individual level, given the unique social and cultural characteristics of this environment. In this paper, we develop a theoretical model to explain how personal factors would affect people’s intention to share their knowledge. The Theory of Reasoned Action and Social Exchange Theory are used in this paper, as are the time dimension of national culture, face, and guanxi. A survey methodology is used to test the model. Face and guanxi orientation both exert a significant effect on the intention to share knowledge. Theoretical and practical implications, as well as directions for future research, are discussed. [ABSTRACT FROM AUTHOR]

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With the rapid development of China's economy in recent years, the scale of students has expanded gradually, which has led to many new problems, including the problems of the quality and the quantity of teachers, and the teaching facilities being insufficient. The assessment of teaching quality is one of the most important aspects of teaching management, which come to the attention of every university. Therefore, it has become the current focus in the research of university teaching. At the same time, the traditional method of teaching quality assessment has not been able to deal with the phenomenon of big data in the field of education. As a new technology, cloud computing provides a broad space for the development of a new model in the aspects of hardware environment construction, software resource development, network teaching implementation and personal knowledge management. In order to effectively deal with the challenges of big data processing in the field of education, this paper proposes a GA-SVM teaching quality assessment algorithm which is based on MapReduce. Through the design of a map function and reduce function, this paper realizes the parallelization of the GA-SVM algorithm and the selection of the main parameters. Secondly, this paper uses a genetic algorithm to optimize the penalty coefficient C and kernel parameters 2 ! of SVM, and then solves the problem of difficulty in determining the parameters of support vectors. In addition, we improve the sensitivity of the search through the method of logarithmic transformation, and speed up the convergence rate of the GA model. Finally, we compare the parallel algorithm and the serial algorithm on the Hadoop platform. The results of experiments show that the GA-SVM based on MapReduce is suitable for teaching quality assessment under the environment of big data. [ABSTRACT FROM AUTHOR]

Chinese management research aims to contribute to global management knowledge by offering rigorous and innovative theories and practical recommendations both for managing in China and outside. However, two seemingly opposite directions that researchers are taking could prove detrimental to the healthy development of Chinese management research. We argue that the two directions share a common ground that lies in the mindset regarding the confidence in the work on and from China. One direction of simply following the American mainstream on academic rigor demonstrates a lack of self-confidence, limiting theoretical innovation and practical relevance. Yet going in the other direction of overly indigenous research reflects over-confidence, often isolating the Chinese management research from the mainstream academia and at times, even becoming anti-science. A more integrated approach of conducting Chinese management research is recommended. Specifically, it is recommended that researchers can focus on phenomena salient in China and follow rigorous scientific methods, as illustrated by a few exemplary studies using the Chinese context. In this way, Chinese management research can advance if it becomes more self-confident in its study and application but not over-confident. [ABSTRACT FROM AUTHOR]

This paper proposes and tests a model of how firms acquire knowledge from their international joint venturing experience. Based on survey response from 73 Singapore and 89 Hong Kong firms with respect to their joint ventures set up in China, the results indicate that both overseeing effort and management involvement are significant channels of knowledge acquisition. The former channel is more important for firms with a great deal of operational experience in China and for parents of older joint ventures. This finding indicates that firms improve their skills of knowledge acquisition through learning-by-doing. Moreover, the strategic importance of the venture concerned, instead of the learning intent of the parent, is the driving force behind the allocation of resources to the two channels. This implies that firms mainly learn through managing their key joint ventures. Since a venture that provides novel and fruitful learning experience may not, and need not, be an operation of great strategic importance, this finding suggests the existence of learning myopia. [ABSTRACT FROM AUTHOR]

Abstract: This paper discusses the deployment method of Chinese outstanding engineers training plan for information security major. The plan needs two parts of training including school stage and enterprise stage and this paper proposes a training schema for the latter stage. Through professional knowledge learning, career planning, engineering practice and graduation design in enterprise, the students’ study and practice time in enterprise is at least a year. In the education and practice stage in enterprise, taking university-enterprise cooperation guide way, we establish the university-enterprise cooperation training mechanism and formulate professional training scheme and training programs in enterprise. [Copyright &y& Elsevier]

Abstract: This paper addresses the issues that arise when corporations are required to make strategic choices regarding operation in foreign countries with diverse socio-political systems and culture, while taking into consideration all the relevant stakeholders, which ultimately affects the corporations’ current and future payoffs. Using the game theory principles we focus on Google''s internet search operations in China, particularly information dissemination decisions, and we examine how Google''s decisions affect the corporation''s success on the Chinese market, which is additionally determined by the information regulation policy of the Chinese authorities. In view of the fact that goals of Google and Chinese authorities are partially overlapping and partially conflicting this perfect information game contains both competitive and cooperative elements. In this paper we will argue that for Google or any other company in the equal situation the best strategic choice would be to respect and follow the laws and restrictions set by the authorities of the country in which the company chooses to operate. Finally, an analysis is completed through determining the optimal strategy for Google and Chinese authorities and finding the equilibrium point. This work provides a new perspective for knowledge engineering. [Copyright &y& Elsevier]

Drawing on the economic growth and social cognitive theory, this paper investigates the effects of management strategies-based factors (knowledge management process competence and innovation capability) and dynamic capabilities-based factors (rewards system and marketing fit) on corporate growth in the Chinese high technology firms. The results show that the knowledge management process competence, innovation capability, and marketing fit exert significant effects on corporate growth. In particular, this study identifies a significant curvilinear relationship between innovation capability and corporate growth. The findings suggest that both management strategy-based and dynamic capabilities-based factors should be considered in achieving long term corporate growth in Chinese high technology firms. These results have important implications for researchers investigating the determinants of high technology firms' growth performance in transitional economies as well as practitioners seeking to improve corporate growth. This paper concludes with a discussion of the implications and limitations of the research. [ABSTRACT FROM AUTHOR]

Abstract: By viewing cooperation and different types of conflicts as “co-opetition” factors in a manufacturer–distributor supply chain, this paper provides a conceptual model for examining the effects of cooperation and conflicts on a manufacturer''s knowledge acquisition process and for exploring the moderating effects of a distributor''s entrepreneurial orientation on the relationships between co-opetition factors and the manufacturer''s knowledge acquisition. This conceptual model is tested with 225 dyad samples from manufacturer–distributor supply chains in China. The results show that cooperation and the type of conflict have both individual and interactive effects on the manufacturer''s knowledge acquisition, thus highlighting the importance of the co-opetition perspective on supply chain knowledge management. More importantly, the results show that the entrepreneurial orientation of a distributor positively moderates the relationships between co-opetition factors and a manufacturer''s knowledge acquisition, implying that strengthening the distributor''s entrepreneurial orientation can improve the efficiency of co-opetition and thereby affect the knowledge acquisition of the manufacturer, and highlighting the importance of blended analysis across the domains of supply chain management and entrepreneurship. [Copyright &y& Elsevier]

Purpose -- The purpose of this paper is to investigate the effects of organizational climate and structure on knowledge management and firm innovativeness from the social capital and social network perspectives. Design/methodology/approach -- The empirical study employed a questionnaire approach. The sample for this study was drawn from the population of the top 5,000 Taiwanese firms listed in the yearbook published by the China Credit Information Service Incorporation. Regression analysis was used to test the hypotheses in a sample of 146 Taiwanese firms. Findings -- The findings suggest that knowledge management is positively related to firm innovativeness. In addition, the effect of knowledge management on innovativeness is positively moderated by supportive climate and decentralized, integrated, and less formalized structure. The study also examines the effects of organizational climate and structure on knowledge management and the results indicate that innovative and supportive climate are positively related to knowledge management. When the organizational structure is less formalized, more decentralized and integrated, knowledge management is more enhanced. Practical implications -- Firms need to be aware of the critical role of organizational structure and climate in the transition process of knowledge management to innovative products or services. Originality/value -- This study contributes to the literature by investigating the relationships among organizational contexts of climate and structure, knowledge management, and firm innovativeness from the social capital and social network perspectives. [ABSTRACT FROM AUTHOR]