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The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

This study is a narrative review of the literature.

The body of medical knowledge has grown far too large for human clinicians to parse. In theory, electronic health records could augment clinical decision-making with electronic clinical decision support systems (CDSSs). However, computer scientists and clinicians have made remarkably little progress in building CDSSs, because health data tend to be siloed across many different systems that are not interoperable and cannot be linked using common identifiers. As a result, medicine in the USA is often practiced inconsistently with poor adherence to the best preventive and clinical practices. Poor information technology infrastructure contributes to medical errors and waste, resulting in suboptimal care and tens of thousands of premature deaths every year. Taiwan’s national health system, in contrast, is underpinned by a coordinated system of electronic data systems but remains underutilized. In this paper, the authors present a theoretical path toward developing artificial intelligence (AI)-driven CDSS systems using Taiwan’s National Health Insurance Research Database. Such a system could in theory not only optimize care and prevent clinical errors but also empower patients to track their progress in achieving their personal health goals.

While research teams have previously built AI systems with limited applications, this study provides a framework for building global AI-based CDSS systems using one of the world’s few unified electronic health data systems.

The circular economy business models (CEBMs) provide ways for firms operating in the construction industry to move from a linear to a circular approach. Thus, this study aims to explore CEBM research within the construction sector to show the focus area of studies, highlighting new areas that require attention.

This study adopted a bibliometric approach, using the Scopus database as the data source. The keywords used for paper extraction from the database were “circular economy business” OR “circular business” AND “model” OR “models” AND “construction industry” OR “building industry”. The VOSviewer software was then used to prepare a co-occurrence and co-authorship map based on the bibliographic data gathered.

The study’s findings reveal five research clusters in the construction industry. These clusters include circular construction intelligence, modular business modelling, eco-construction, sustainable construction economics and smart energy-efficient buildings. The two most cited scholars had two publications each, while the top journals are the Journal of Cleaner Production and Sustainable Production and Consumption. This study concludes that there is a need for research within the construction sector to focus on CEBMs’ archetypes and frameworks. This will enable a smooth transition from linear to circular business models in the sector.

The information was gathered from a single database, Scopus; hence, using other databases, including Web of Science, Google Scholar and Dimensions, might produce more articles for examination and, consequently, different findings on the subject under investigation.

These findings would assist researchers in considering the areas mentioned, which are yet to receive attention, and, by extension, enhance economic development while maintaining environmental sustainability.

This paper made a significant contribution to the body of knowledge by identifying scholars and platforms that have been instrumental in advancing CEBM research and highlighting new areas that require attention in the construction sector.

This paper discusses plausible future scenarios for small and medium tourism enterprises (SMTEs) in the “sun, sea and sand” destination of the Canary Islands (Spain) and assesses to what extent they are prepared to adjust to market changes and technological developments in the light of both sudden disruptions and long-term shocks.

A scenario analysis was made based upon expert interviews, leading to a 2 × 2 scenario matrix.

Although regional, national and European strategies advocate digital transformation as a step towards building resilience and towards a more sustainable future, this study identifies two major uncertainties that can put that transformation at risk: a change of the traditional “sun, sand and sea” visitor to a more conscious, individual and inquisitive traveller or “Promad”, and the business culture of SMTEs.

Resilience for sudden and for slow-paced disruptions poses different challenges for SMTEs. Their next step in the digital transformation must take them form marketing and sales-oriented e-business to growing interconnectivity and innovation across supply chains.

A market change towards the “Promad” type of traveller causes at least a temporary mismatch of demand and supply. As many SMTEs miss either the knowledge or the resources to invest in digital transformation, the process will depend on support and coordination at destination level.

The study identifies, with the example of the Canary Islands, the difficulties for destinations and individual businesses in making the envisioned transition of mass tourism to more competitive forms of tourism with a smaller ecological footprint.