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Despite the rapid growth of the World Wide Web in the last several years few studies have appeared in the literature assessing Web sites’ efficacy. This paper provides an original Web Assessment Index, focused on four categories: accessibility, speed, navigability and content. The scoring mechanism is explained and the index is applied to assess the Web sites of all Spanish universities. Finally, conclusions and implications derived from this study are presented.

This study aims to analyse the literature on the digital transformation of family businesses and the impact of artificial intelligence on this process, highlighting key areas of interest and future perspectives.

A bibliometric analysis is performed to explore the interconnection between variables and the relationships between authors, countries and journals in this research area. The Scopus database was used as of March 2024, and the data analysis was carried out with Bibliometrix for result analysis and VOSviewer for scientific mapping.

The analysis confirms the increasing relevance of the topic, with a high number of articles in 2023. Prominent journals are identified, and authors are mainly from China and Europe. Keywords “family business” and “family firms” are strongly linked, showing a connection to artificial intelligence and digital transformation. Family businesses are embracing the digital era, and research must respond accordingly.

This pioneering study offers a novel contribution, as no prior bibliometric analysis has addressed this topic. It lays the groundwork for future research, identifying emerging themes with significant future potential.

This paper aims to analyze the websites of small- and medium-sized enterprises (SMEs) and large companies in various industries in Thailand using an automated evaluation tool and explores the association between website quality and business success.

The data of 357 listed companies, both SMEs and large firms, are collected from the Stock Exchange of Thailand and SEOptimer. Non-parametric statistics are used for data analysis owing to the nonnormality of data.

Company market values are associated with large companies’ website quality, especially usability, social, security and overall quality. There are differences in the website quality and company market values of large companies in several industries. SMEs generally have lower website quality and company market values than large companies.

This study has fewer numbers of SMEs in each category, which could limit statistical power.

This work is one of few studies assessing internal attributes of websites and links them with the success of companies in various sizes and industries.