ABSTRACT
Against a backdrop of economic uncertainty caused by a shift toward protectionism and the COVID-19 pandemic among other issues, this book suggests that international trade fairs (ITFs) represent a vital source of economic dynamism that can support national and regional economies by creating opportunities for firms to access new markets, network with key actors in their industry or value chain, and tap into valuable external knowledge flows regarding new technologies and innovations. Author Rachael Gibson argues that ITFs have become crucial nodes in the global political economy, driving global economic dynamics and mediating differences between capitalist economies regarding their technological and institutional practices and conditions. In this way, ITFs represent a decisive mechanism by which distinct national patterns of technological specialization may converge or diverge. Trade fairs represent important platforms for networking, interactive learning, and knowledge exchange because they foster intense interactions among actors despite spatial boundaries. ITFs also tend to be organized according to a specific technological or industry focus, which means that they can facilitate interactions between firms from different capitalist varieties. Through the diffusion of state-of-the-art knowledge, ITFs may, thus, serve as drivers of economic globalization, challenging the continuation of distinct capitalist varieties by enabling cross-system convergence regarding the technological specializations of firms. Yet, it is clear that countries have retained competitive advantages in specific industries and that full convergence has not taken place. This book explores this puzzle. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
ABSTRACT
[Purpose/Significance]VOSviewer is a software tool for constructing and visualizing bibliometric networks which may include citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactive visualizations on online platforms. The software's powerful functions in processing literature information, coupled with free and continuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a reference for users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledge base structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the document co-citation network to obtain some documents and analyze the important documents in this field based on bibliometric analysis. [Results/Conclusions] It was found that the number of papers in this field has entered an explosive period of application after a relatively slow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel corona virus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, software principles, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal of misuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a direct interpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a large number of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. However, there are few applied research results in this area.VOSviewer Online has been integrated in Digital Science's Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks. © 2022 The authors.
ABSTRACT
The diffusion of accurate knowledge about diseases in the population is of critical concern to public health officials. This is because an informed public should be in a position to make better decisions, especially when these decisions impact other individuals, as is the case during pandemics. This article is aimed at presenting current research on the acquisition and propagation of medical knowledge in social networks under conditions of high perceived risk of viral infection. I will review recent psychological findings to show how anxiety associated with high perceived risk of infection could (a) negatively impact information processing, (b) activate motivational frames of processing, and (c) exacerbate the adoption of misinformation. Finally, I make specific recommendations for how to maximize accurate information dissemination and minimize the spread of misinformation.
ABSTRACT
The research aims at reviewing concepts and debates on knowledge flow and mutual learning as externalities in cities, and to investigate the extent of change in the organization of work in enterprises as a result of the pandemic. The following research hypotheses were adopted: a) in the business service sector the change of the work model from stationary to remote or hybrid (combining stationary and remote mode) is a permanent effect of the COVID-19 pandemic, b) said change has a negative impact on the informal flow of knowledge. The study used a qualitative descriptive method referring to a critical review of the literature on the subject and surveys.
ABSTRACT
The Internet of Things (IoT) is a concept that has attracted significant attention since the emergence of wireless technology. The knowledge diffusion of IoT takes place when an individual disseminates his knowledge of IoT to the persons to whom he is directly connected, and knowledge creation arises when the persons receive new knowledge of IoT, which is combined with their existing knowledge. In the current literature, several efforts have been devoted to summarising previous studies on IoT. However, the rapid development of IoT research necessitates examining the knowledge diffusion routes in the IoT domain by applying the main path analysis (MPA). It is crucial to update prior IoT studies and revisit the knowledge evolution and future research directions in this domain. Therefore, this paper adopts the keyword co-occurrence network and MPA to identify the research hotspots and study the historical development of the IoT domain based on 27,425 papers collected from the Web of Science from 1970 to 2020. The results show that IoT research is focused on IoT applications for smart cities, wireless networks, blockchain technology, computing technologies, and AI technologies. The findings from the MPA address the need to explore the knowledge evolution in the IoT domain. They also provide a valuable guide to disseminate the knowledge of IoT among researchers and practitioners, assisting them to understand the history, present and future trends of IoT development and implementation.