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Introduces the theory of artificial neural networks (ANN). Discusses its application to the valuation of residential apartments. Compares the performance of the back propagation neural network (BP) model in estimating sale prices of apartments against the traditional multiple regression analysis (MRA) model. Concludes that the neural network model is an easy‐to‐use, black‐box alternative to the MRA model.

This paper aims to present and discuss the results of the assessment of maturity of facilities management (FM) industries (FMi) in five countries, namely, Denmark, Hong Kong, Norway, Tanzania and the UK. The analysis is based on the “Integrated Feeder Factors Framework (I3F)”. I3F analyses maturity by assessing the progression and integration of the key factors essential for the maturity of the FMi, which are organisations practice, supply market, education, professional bodies, research and business environment.

FM experts in respective countries were interviewed. Data were also gathered from official documents and websites. The collected evidences were analysed using pattern matching.

The FM industry in the five case study countries are found at various levels of maturity. The UK exhibited high levels of maturity compared to other countries. Norway, Hong Kong and Denmark were at the same level with some notable differences, while Tanzania was at the lowest level.

The research successfully tested the I3F. This sets foundation for assessing maturity of the FM industry at a country level. The assessment of maturity at a country level is important to FM stakeholders in charting out plans for its development and longevity.

This is the first research which has assessed the maturity of FMi in five countries using an I3F. The results show the strength and weaknesses of the FMi in the five countries and point out areas which require stakeholders’ efforts to be improved or maintained.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.