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How to effectively share knowledge within organizations has been given a great deal of attention in practice as well as in research. However, most of current approaches are based on the centralized network structure, e.g. a central knowledge repository, which has been considered inappropriate and ineffective to facilitate the process of knowledge sharing. On the contrary, in this study, we propose the idea of a virtual knowledge sharing community that is based on decentralized P2P technology. In the community, each member plays an equal role of knowledge producing, receiving and coordinating. We believe that decentralized P2P has many distinct advantages in knowledge sharing. Moreover, referring to relevant psychological studies on human motivation, four application features for the virtual knowledge sharing community are further proposed. After being applied, each of the features is believed to have capability of motivating the members of community to share knowledge with each other.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The review of food consumption elsewhere in this issue shows the broad pattern of food supplies in this country; what and how much we eat. Dietary habits are different to what they were before the last War, but there have been few real changes since the end of that War. Because of supplies and prices, shifts within commodity groups have occurred, e.g. carcase meat, bread, milk, but overall, the range of foods commonly eaten has remained stable. The rise of “convenience foods” in the twenty‐five year since the War is seen as a change in household needs and the increasing employment of women in industry and commerce, rather than a change in foods eaten or in consumer preference. Supplies available for consumption have remained fairly steady throughout the period, but if the main food sources, energy and nutrient content of the diet have not changed, changes in detail have begun to appear and the broad pattern of food is not quite so markedly stable as of yore.

Comparative opinions widely exist in online reviews as a common way of expressing consumers’ ideas or preferences toward certain products. Such opinion-rich texts are key proxies for detecting product competitiveness. The purpose of this paper is to set up a model for competitiveness analysis by identifying comparative relations from online reviews for restaurants based on both pattern matching and machine learning.

The authors define the sub-category of comparative sentences according to Chinese linguistics. Classification rules are set up for each type of comparative relations through class sequence rule. To improve the accuracy of classification, a comparative entity dictionary is then introduced for further identifying comparative sentences. Finally, the authors collect reviews for restaurants from Dianping.com to conduct experiments for testing the proposed model.

The experiments show that the proposed method outperforms the baseline methods in terms of precision in identifying comparative sentences. On the basis of such comparison-rich sentences, product features and comparative relations are extracted for sentiment analysis, and sentimental score is assigned to each comparative relation to facilitate competitiveness analysis.

Only the explicit comparative relations are discussed, neglecting the implicit ones. Besides that, the study is grounded in the assumption that all features are homogeneous. In some cases, however, the weights to different aspects are not of the same importance to market.

On the basis of comparative relation mining, product features and comparative opinions are extracted for competitiveness analysis, which is of interest to businesses for finding weakness or strength of products, as well as to consumers for making better purchase decisions.

Comparative relation mining could be possibly applied in social media for identifying relations among users or products, and ranking users or products, as well as helping companies target and track competitors to enhance competitiveness.

The authors propose a research framework for restaurant competitiveness analysis by mining comparative relations from online consumer reviews. The results would be able to differentiate one restaurant from another in some aspects of interest to consumers, and reveal the changes in these differences over time.

Using bibliometric techniques, the author analyzes a dataset of 276 articles on cross-border mergers and acquisitions (CBMAs) published in 13 management and international business journals. The author assesses the scientific impact and visualizes the intellectual landscape of research on CBMAs by analyzing publication and citation data and interconnections between publications. First, the author assesses annual publication trends and identifies highly cited articles and productive journals in the dataset that have significantly contributed to our understanding of CBMAs. Second, the author identifies main themes in recent research on CBMAs by focusing on frequently used keywords in publications. Third, the author identifies clusters of related research and explores their interrelationships to outline emerging trends, new perspectives, and directions for future research on CBMAs. Overall, this chapter contributes to the understanding of CBMAs by documenting the progress made to date and providing important insights for future research.

Crisis management has developed as an established field of scholarly research in tourism over the last three decades. More recently, the concept of resilience has emerged within this body of literature as a longer-term planning process. However, important knowledge gaps remain, especially with regards to the strategic responses of small tourism businesses in destinations prone to repeated crises.

This chapter reviews the literature related to crisis management and resilience in tourism.

Key knowledge gaps are outlined and discussed in the context of tourism research related to crisis management and resilience, with a specific emphasis on research related to small tourism businesses.

Although crisis management and resilience are fields of research that continue to generate a considerable amount of scholarly enquiry in tourism, particularly with studies related to the impacts of terrorism on tourism destinations and, more recently, the short- and longer-term impacts of the COVID-19 pandemic on tourism, there is very little research related to the role of small tourism businesses in this context, in spite of their key role in the tourism system of destinations around the world.