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The sharing economy enables apartment owners to generate income from their assets. “Agoda Homes” is an online travel agent (OTA) that directly competes with Airbnb. A destination has to discover its competitiveness, but few studies have provided an overview of accommodation attributes in each destination, which are crucial to shaping its brand image. This paper aims to illustrate firm-generated content or attributes that apartment owners list about their properties on an OTA platform to comprehend factual information about apartments in each destination with various star ratings and user ratings and to formulate a research model for future studies.

Informational content and accommodation attributes for apartments are automatically collected using a Web scraping tool (the Data Miner). Descriptive statistics and text analysis (word cloud and word frequency) are used to analyze data.

Findings reveal the primary location, facilities, cleanliness and safety attributes for all apartments in each destination, along with star ratings and user ratings. A research framework for scholars is also suggested. Guidelines for stakeholders in the tourism industry are additionally furnished.

This work concentrates on apartments, which have received less attention in the tourism literature. The study gathers factual data from a website to mitigate respondent bias issues inherent in the traditional survey methods.

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.