Knowledge Management In China Research Articles

A dynamics model of knowledge dissemination in a WeChat Group from perspective of duplex networks

Studying how to promote knowledge dissemination in a WeChat group is of great significance to organizational knowledge management in China. There are two different ways for group members disseminating a certain knowledge: just sharing it in WeChat group (many-to-many dissemination mode), or using @username function to disseminate it (point-to-point dissemination mode). We regard all group members connected by relationships of two different dissemination modes in a WeChat group as duplex networks. We build a susceptible-infected-recovered-immune (sirm) dynamics model of knowledge dissemination in the duplex networks to obtain the basic reproduction number R0 of a certain knowledge transmission. We use the actual data to estimate the parameters of this model, and verify that our model fits well with the actual data. The numerical simulations show that: 1) The total number of times that members communicate a certain knowledge via two modes per unit time should not be excessive, to avoid fatigue to it which resulting low efficiency of dissemination in the WeChat group. 2) If the benefit obtained by group members from learning a certain knowledge is higher than the required variable cost, the kind of knowledge is likely to be spread in the WeChat group. If a certain knowledge becomes obsolete or is updated for some group members, they will not disseminate it even after they have learned it and it may gradually disappear in the WeChat group. 3) When members only use either point-to-point @mention function discussion or many-to-many random communication to transmit a certain knowledge, or there is big difference in the number of times that group members use each of the above two discussion modes per unit time, the efficiency of the knowledge dissemination is reduced in a WeChat group.

Using Baidu Index to Investigate the Spatiotemporal Characteristics of Knowledge Management in China

In the era of knowledge economy, knowledge has become the guide to creating economic and social value. Knowledge economy calls for knowledge management, and modern knowledge management is a new management theory and management method emerging in the time of knowledge economy, which explains the relevance of this research. Baidu is the largest Chinese search engine in the world, and the Baidu Index developed by Baidu is one of the most important statistical analysis platforms of the Internet and even the whole data age. The purpose of this paper is to investigate spatiotemporal characteristics of Chinese public attention to knowledge management through the Baidu index. Text analysis and process tracing are used to explain the reasons for the spatial and temporal characteristics of the Chinese public's attention to knowledge management. Through Baidu index network search engine, this paper analyses search trend, demand graph, and demographic and geographic distribution. This paper selects the time period from January 1, 2011 to January 1, 2022. The results of the study show that the search trend of "knowledge management" in the past 11 years peaked at the end of 2016, and the decrease appeared around the Spring Festival and National Day each year. "Learning organization", "knowledge base" and "information management" are the words most concerned by the public. It was stated that the groups concerned about “knowledge management” were mainly distributed in Guangdong, Beijing, and Shanghai. Among them, the predominant group was male aged 20-29. The factors that affect the changes in the search volume of “knowledge management” mainly include the traditional Chinese holidays, the Spring Festival, the National Day, and the release of knowledge management-related norms. In addition, the study found similar search trends for “knowledge management” and “knowledge management system”. This paper only takes "knowledge management" in Baidu Index as the research object. Whether it is suitable for all network engines, needs to be tested furtherly

Sustainable organizational performance through blockchain technology adoption and knowledge management in China

Global competition encourages all industries to attain cutting-edge performance by continuously developing their goods and processes; knowledge is the most effective and powerful weapon for long-term sustainability and growth. Effective blockchain adoption (BCA) and better supply chain visibility (SCV) via organizational and production knowledge management (KM) have emerged as the most powerful instruments for improving sustainable organizational performance (SOP). Therefore, drawing on the resource-based view and technology acceptance model, this study seeks to underline the empirical relationships among KM, BCA, SCV, and SOP in a developing country context of Chinese manufacturing, as research in this sector is still nascent encompassing these constructs. Data were collected from 289 respondents (senior, middle, and junior) level staff members from manufacturing industries and analyzed by a novel approach; partial least square structural equation modeling (PLS-SEM). The empirical analyses indicated that KM significantly impacts BCA. BCA also positively affects SCV. Besides BCA, the KM also positively impacts SOP. The mediation effect analysis revealed the significant serial mediating impact of BCA and SCV on the relationship of KM to SOP. This study enriches the inadequate literature and throws light on BCA from an organizational resource perspective. The study deepens our understanding and delivers valued insights to the managers and policymakers of manufacturing industries concerning the role of KM, BCA, and SCV in achieving SOP.

Using Baidu Index to Investigate the Spatiotemporal Characteristics of Knowledge Management in China

The relevance of the article explained by the fact that knowledge economy calls for knowledge management, and modern knowledge management is a new type of management that emerged in the days of the knowledge economy. The purpose of this paper is to investigate spatiotemporal characteristics of public attention towards knowledge management in China. The leading research methods were analysis, synthesis, comparison, deduction, and induction. This study uses Baidu index to analyse the spatiotemporal characteristics of the public's attention to knowledge management. It was noted that the trend of finding “knowledge management” for the last 11 years peaked at the end of 2016, and the decrease appeared around National Day each year. It was stated that the groups concerned about “knowledge management” are mainly distributed in Guangdong, Beijing, and Shanghai. The factors that affect the changes in the search volume of “knowledge management” include the traditional Chinese holidays, the Spring Festival, the National Day, and the release of knowledge management-related norms. In addition, the study found similar search trends for “knowledge management” and “knowledge management system”. It was concluded that the knowledge management systems are used only when the amount and complexity of knowledge accumulation within an organisation reaches a certain level

The Relationship between Ambidextrous Knowledge Sharing and Innovation within Industrial Clusters: Evidence from China

Aim/Purpose: This study examines the influence of ambidextrous knowledge sharing in industrial clusters on innovation performance from the perspective of knowledge-based dynamic capabilities. Background: The key factor to improving innovation performance in an enterprise is to share knowledge with other enterprises in the same cluster and use dynamic capabilities to absorb, integrate, and create knowledge. However, the relationships among these concepts remain unclear. Based on the dynamic capability theory, this study empirically reveals how enterprises drive innovation performance through knowledge sharing. Methodology: Survey data from 238 cluster enterprises were used in this study. The sample was collected from industrial clusters in China’s Fujian province that belong to the automobile, optoelectronic, and microwave communications industries. Through structural equation modeling, this study assessed the relationships among ambidextrous knowledge sharing, dynamic capabilities, and innovation performance. Contribution: This study contributes to the burgeoning literature on knowledge management in China, an important emerging economy. It also enriches the exploration of innovation performance in the cluster context and expands research on the dynamic mechanism from a knowledge perspective. Findings: Significant relationships are found between ambidextrous knowledge sharing and innovation performance. First, ambidextrous knowledge sharing positively influences the innovation performance of cluster enterprises. Further, knowledge absorption and knowledge generation capabilities play a mediating role in this relationship, which confirms that dynamic capabilities are a partial mediator in the relationship between ambidextrous knowledge sharing and innovation performance. Recommendations for Practitioners: The results highlight the crucial role of knowledge management in contributing to cluster innovation and management practices. They indicate that cluster enterprises should consider the importance of knowledge sharing and dynamic capabilities for improving innovation performance and establish a multi-agent knowledge sharing platform. Recommendation for Researchers: Researchers could further explore the role of other mediating variables (e.g., organizational agility, industry growth) as well as moderating variables (e.g., environmental uncertainty, learning orientation). Impact on Society: This study provides a reference for enterprises in industrial clusters to use knowledge-based capabilities to enhance their competitive advantage. Future Research: Future research could collect data from various countries and regions to test the research model and conduct a comparative analysis of industrial clusters.

The New Model of the Tax Vocational Education and the Application of Knowledge Management in China

The tax vocational education aims at training professional talents needed to develop the tax undertaking. It is the basis for cultivating tax talents. High-quality tax civil servants are among the guarantees in facilitating the tax modernization undertaking. China’s tax vocational education has made many achievements, but still with some problems. Under new situations, the tax vocational education in China is faced with a transformation from the academic education to the vocational cultivation. As a product of the internet era, Knowledge management fully embodies the thinking patterns of the “internet +” as “platform”, “crossing boundaries” and “integration”. Introducing knowledge management into tax vocational education and carrying out systematic and scientific design and planning is an innovation of tax education form, and it has more flexibility in application. It is more conducive to the inheritance of experience and the improvement of the efficiency of knowledge transformation. It is also conducive to the construction of tax culture and the formation of knowledge sharing, innovation and application consciousness, so as to better serve the implementation of fiscal reform and the development of tax modernization.

Implementation of Knowledge Management in Chinese Hospitals.

The implementation of knowledge management (KM) in hospitals affects efficiency and outcomes of hospitals. However, few studies explored the implementation of KM in China. Twenty-two questions were designed concerning KM implementation status in over 50 hospitals. In order to understand the KM level and attitude to KM of the hospital's managers, a random sampling survey was conducted among 138 managers from 50 different scales of hospitals in 15 provinces of China. The survey showed that overall level of KM implementation in Chinese hospitals was still low and differed among different scales of hospitals (P<0.05, or P<0.01). In all the hospitals investigated, 63.8% did not implement KM yet, among which 46% even had not planned for that. 49.8% of the hospitals investigated had no training program about KM ever and the main source of hospital staff to get knowledge was internet. It suggested that hospital managers should make much more efforts to get to know and understand theories on KM, so that hospital KM could be promoted more rapidly.

Knowledge-management issues in China’s hotel industry

Empirically explores knowledge management processes in China’s hotel industry. Presents three knowledge management issues inherent to China’s hotel industry. Links Knowledge management practices to employer/industry-of-choice. Links knowledge management to employee recruitment, motivation and retention. Presents a research agenda for knowledge management in China’s hotel industry.

Enterprise knowledge management model based on China’s practice and case study

This study analyzes the situation of enterprise knowledge management in China based on the survey and data in terms of knowledge management recognition, knowledge management stages, knowledge management applications, integration of knowledge, motivation and effect of knowledge management, and finds that the enterprise knowledge management in China is still at the initial stage, therefore it is significant to establish a general knowledge management model for China’s enterprises. This study develops a framework of general knowledge management model from the perspective of organizational competitive advantages, and further discusses the application of enterprise knowledge management model through the case of Landray.

Knowledge management in China: a review

PurposeThe purpose of this paper is to examine the development of knowledge management (KM) in China and its Western origins.Design/methodology/approachThe paper is developed by exploring the existing KM survey results in China. Discussions from KM surveys into Chinese KM practices and the Chinese economy are presented. A discussion of KM in the Chinese service sector provides a set of KM research reviews to examine the current issues and status of KM studies in this area. To understand KM and its importance to people, technology and process for innovation and knowledge sharing on different levels in the service sector in China, this paper is divided into seven distinct parts, which addresses three main KM issues in China, i.e. development and challenges for Chinese economy and service industry, KM research and practice in China and knowledge sharing and innovation with cultural factors. This paper offers guidance to researchers and managers involved in KM efforts to understand how KM is developed in China and what kind of research model is required for Chinese KM studies.FindingsKM surveys in China were based on different purposes and scopes. While Western KM theories did provide a foundation for the KM studies in China, the unique Chinese culture environment requires the Chinese research models. The development of KM in China is still at its early stage. Limitations of the current Chinese KM studies are revealed and the KM status of the Chinese service sector also discussed.Research limitations/implicationsA research model that is suitable for the Chinese KM practices is yet to be formally established.Practical implicationsThis paper contrasts the development of KM in China by examining different KM survey results from China. For practitioners, findings provide understanding on how KM is developing. For KM researchers, the understanding of culture and analytic directions of KM studies from the Chinese service sector are discussed.Originality/valueIn this paper, KM development in China revealed, that can provide guidance to researches involved in KM efforts and directing the future path of KM analytic model with a cultural perspective.

The culture relativity in the knowledge flow

PurposeThis paper attempts to explore the relativity of unique Chinese culture in the process of knowledge search, knowledge transfer and knowledge integration and put forward policy suggestions for practitioners.Design/methodology/approachA conceptual framework is proposed in order to analyze the influence of different dimensions of culture on knowledge flow. Foundational support for this framework is drawn from existing researches. Policy suggestions are presented based on the framework.FindingsTen propositions are demonstrated concerning how to facilitate knowledge flow efficiently with the mediation of cultural variations.Research limitations/implicationsThis paper concerns culture at national level only. Culture that varies at a lesser level, such as organizational or occupational culture, also has an influence on knowledge management.Originality/valueAlthough cultural relevance in knowledge management is recognized, there is a lack of research with specific reference to the Chinese cultural context. This paper contributes in conceptualizing the analyzing framework and providing further insight into the complexity of cultural relevance in knowledge management in China.

Trend of knowledge management in China: challenges and opportunities

PurposeThe purpose of this paper is to explore challenges and opportunities in knowledge management (KM) research trends in China.Design/methodology/approachThe literature review presents the status quo of China KM research from a world‐wide perspective and China's economy today. Then the paper explains theoretical analysis of KM development and future trend in the West. The third part of literature review addresses the debate of KM practices followed by the way how KM trend is discussed in Western research. Empirical evidences from the journal literature, the web sites of consultancy companies, and in the presentation of research centres are examined. A triangulated methodology include data from two well known management database searching results for “China” and “Knowledge Management”; two KM surveys in China and other web site and journals.FindingsThe paper is an initial exploration of the KM research trends in China. The research explains the opportunities and challenges facing KM researchers and provides useful guidance for KM practice in China. In general, China has relatively newly developed KM awareness. The importance of KM, however, has not yet been fully explored in research. One the one hand, the lack of access to China practitioners, the scarceness of related comparative study and the arguable KM domain are three major reasons that lead to insufficient research in KM. On the other hand, given the rapid development of China's economy today, there are questions and phenomena with specific Chinese characters need to be examined from KM perspective. Two major challenges of China economy, i.e. reforming in the process of development, and the privatization as well as the regional difference need to be reflected in China KM research. Comparative approaches in the research are needed. Although KM is arguably undergoing fast development in recently years and China is becoming one of the important spotlights, China‐related KM research is still at its very early stage. Challenges and opportunities are presented for further research guidance.Originality/valueThis paper shows that KM research in China has its own characters if compare with the West. Future directions and opportunities for China‐related KM researches are discussed by a triangulated approach. The findings present future trends of KM research in China that help practitioner to reinforce KM practice. This paper suggests important areas that researchers need to address as new challenges and opportunities in the KM trends in China context.

Knowledge management in China

China's high-priority effort to become a more knowledge-based economy and society means that knowledge management (KM) is increasingly important. For example, the timely transfer and use of business knowledge can provide a competitive advantage in practically any given industry. Despite its enormous promise in business and science, effective KM also faces formidable obstacles. Here, we explore the most notable ones in the China context.We have used surveys, interviews, focus groups, longitudinal case studies, and anecdotal information for more than a decade to develop an understanding of how knowledge is managed in China and its role in the country's drive for global competitiveness. KM in China is distinctive, constrained somewhat by technological limitations, but influenced more significantly by psychological factors (such as cultural values) among groups and social levels. Here, we describe the distinctive aspects of knowledge generation, documentation, transfer, and use that prevail in China today, highlighting the key factors influencing Chinese KM.