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The purpose of this paper is to describe and discuss the use of Chinese medicine in the prevention and treatment of coronavirus disease 2019 (COVID-19) in China and Asia.

This paper provides a brief overview of the COVID-19. Based on the syndrome differentiation (辨證論治), the concept of clearing heat and detoxifying lung in traditional Chinese medicine is used to prevent and treat COVID-19 through restoring the vital qi (正氣) in human body and regulating the lung as well as spleen to strengthen the immune system. Traditional Chinese medicine has been used as a complementary therapy for the possible intervention of COVID-19 including traditional Chinese herbal decoctions, Chinese traditional patent medicines, acupuncture and moxibustion as well as the traditional health exercises in China and parts of Asia.

Traditional Chinese medicine plays a significant role in the prevention and treatment of COVID-19 pandemic. The infection cases of China are around 80,000 and a steady decline compared with the USA which has 5,000,000 infection cases and continuous increases. It is shown that more than 90% of patients recovered after the treatment of traditional Chinese herbal decoctions and Chinese traditional patent medicines without any side-effect compared to the use of Remdesivir (GS-5734). Acupuncture (針灸) and moxibustion (艾灸) stimulate the immune and nervous systems for preventing infectious diseases. Taichi (太極) and Baduanjin (八段錦) as the auxiliary aerobic exercise under the theory of Chinese medicine can enhance the immune system and improve the lung function. Thus, an integration of traditional Chinese Medicine and Western medicine is the best strategy for the prevention, treatment and control of COVID-19 pandemic in the future.

This paper describes traditional Chinese medicine as an effective way for the prevention and treatment of COVID-19.

The aim of this paper was to attempt to investigate the transformation of traditional Chinese medicine (TCM) industry in Guangdong Province of China by applying a perspective of sectoral system of innovation (SSI). TCM industry in China has experienced an evolution path from low-tech to modern industry.

An analytical framework of sectoral system innovation for explaining the change in TCM industry in Guangdong Province has been conducted.

It shows that during the successful transformation of the TCM industry in Guangdong from low-tech to modern sector, national and provincial institution are acting as main drivers. Knowledge integration is the decision factor of modernization and innovation strategy as an actor that makes the transformation adjust and operate efficiently. Other actors, such as demand and external networks interplay together and led to a gradual organizational, structural and institutional change and modernization of TCM industry.

SSI analyses of TCM in China have never been conducted before, this paper also contributes to enrich the experience of low-tech industry transformation and provide references to other low-tech industries around the world.

The research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper.

An experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective.

The experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition.

This paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.

The purpose of this paper is to analyze how internal-driven management innovation (IDMI) takes shape, which highlights the objective-oriented and problem-oriented property of the innovation.

Based on a case study of a new practice called 11X integration strategy in Guangzhou Pharmaceutical Holdings Limited, a Chinese pharmaceutical group in Guangdong province, through applying Grounded Theory the authors get a concise systematic framework of generation process that is more practical and more understandable than the counterparts in current literature.

First, this paper uncovers five stages and two parallel sub processes in the generation process of IDMI. The sub processes involves practical exploration process (i.e. primary activities) carried out by the internal change agents and theoretical support process (i.e. support activities) carried out by the external change agents. Second, by adopting a process perspective the authors are able to demonstrate how the different activities in both types of processes are combined over time in an intertwined way.

First, the case the authors studied is embedded in the context of China’s transitional economy, and the single case study limits us to make comparisons of the generation process of management innovation between different market economies. Second, the external-driven management innovation is still a field untouched. Third, in the research the authors explore the issues of how new management innovation is generated and implemented, but the authors do not systematically research on why different companies exhibit different levels of management innovativeness.

First, the findings suggest that firms should consciously and systematically invest in IDMI to create sustainable competitive advantage. Second, the process framework provides a clear guidance to the managers in Chinese state-owned enterprises who are engaged in developing or adopting management innovation. Third, the study indicates the managers in Chinese company should be aware of the importance of external change agents to IDMI. Fourth, this study could facilitate the enterprises to develop or adopt management innovation based on their real needs rather than just “jumping on the bandwagon” when adopting certain new management skills.

This study offers a new generation framework by identifying possible facilitators of IDMI that does not yet exist in extant literatures, and the two sub processes – the practical exploration process and the theoretical support process – deepen the understanding of the generation mechanisms of IDMI. Furthermore, the study contributes to reaching a better understanding of management innovation in the context of transitional economy such as China.

Competition and cooperation co‐exist in various sub‐fields of organizational strategies, while a research gap remains in the links between how managers perceive their cognitive relations with rival partners and how they choose a strategy. The purpose of this paper is to investigate how different focuses of competition and cooperation are put in core and supportive strategic importance based on business manager's individual perception toward a particular rivalling cognition.

A conceptual model is developed composed by several hypotheses. An empirical study is conducted by analysing data collected from 89 pharmacies, including public hospital pharmacies and community service, private chain retailing pharmacy, and independent pharmacies, out of hundreds of outlets in a capital city in China to test hypotheses. By using factor analysis and correlation analysis, several hypotheses are supported in linking competitive cognition with either core marketing strategies or supportive marketing strategies.

Observational results indicate that large and small pharmacies, motivated by relational perceptions among competitors, tend to rely selectively on some strategic tools of competition and cooperation in terms of their different business nature.

These results are valuable for business managers in the healthcare industry, enabling them to rethink their relations with strategic partners and their strategies.

The paper's findings enrich understanding of how a competing environment influences strategic orientation of competition and cooperation under a collaborative marketing framework.

Traditional Chinese Medicine (TCM) is a complete medical healthcare system that encompasses acupuncture, acupressure, moxibustion, herbal medicine, diet, tui na massage, and exercises (tai chi and qigong) among other traditional therapies. It uses herbs and natural resources to produce the traditional medicines and focuses on maintaining the balance between body and mind. As such, many aspects of TCM can be considered as green and sustainable. While there is market demand for TCM in some countries and among some communities, some others are still not aware of TCM. Moreover, there are fewer discussions in the academic platforms on TCM. This case highlights the scenario of TCM based on Malaysia’s perspective and discusses its challenges and prospects.

In the twenty‐first century and under the knowledge economy, knowledge is regarded as an important asset for many organizations. In the area of Chinese medicines, be it a research center, a pharmacy, a drug manufacturer, a government supervision authority, a medical doctor or even a patient, the mastering and application of knowledge are an essential factor for success. However, there is very little research on knowledge management for Chinese medicines, which has its own special characteristics. This paper aims to study this problem and to propose a conceptual model for knowledge management of Chinese medicines.

This paper first analyses the requirements of knowledge management in Chinese medicines. Then, making reference to Nonaka's knowledge transformation model, the application of information technology in different stages of knowledge transformation for Chinese medicines is reviewed. Based on the above studies, a conceptual model of knowledge management for Chinese medicines is recommended.

The requirements of knowledge management in Chinese medicines are analysed and specified in basic attributes, prescriptions and formulae, rules of ingredients combination, and pharmaceuticals management. The information technologies that can be used at different stages of transformation are also reviewed. Finally, a four‐layer model, containing the network and computer system layer, data layer, knowledge services layer and application layer, is described.

At present, there is no knowledge management product in the market that is designed for Chinese medicines. This paper helps to initiate studies for solutions in this area.

The primary new idea here is to propose a conceptual knowledge management model for Chinese medicines. The model can be used as a framework to further develop a practical knowledge management system for Chinese medicines.

The purpose of this paper is to analyze the Chinese pharmaceutical sector through three levels: policy level, enterprise level, and technology level.

The authors explore the environmental impacts, which include political, social, and economic factors, study enterprise‐level strategies on international technology transfer and carry out a trend analysis on the technology development in the Chinese pharmaceutical industry.

The results indicate that China is emerging in the biopharmaceutical industry. While there are several steps to be taken at different levels, including policy, enterprise, and technology, the country is presenting a potential for the future. The paper outlines the gaps in each area.

The paper provides a very good outline against which any emerging economy could review its potential in the pharmaceutical industry.