Search results

This study aims to explore the use of time series analyses to examine changes in travelers’ preferences in accommodation features by disentangling seasonal, trend and the COVID-19 pandemic’s once-off disruptive effects.

Longitudinal data are retrieved by online traveler reviews (n = 519,200) from the Canary Islands, Spain, over a period of seven years (2015 to 2022). A time series analysis decomposes the seasonal, trend and disruptive effects of six prominent accommodation features (view, terrace, pool, shop, location and room).

Single accommodation features reveal different seasonal patterns. Trend analyses indicate long-term trend effects and short-term disruption effects caused by Covid-19. In contrast, no long-term effect of the pandemic was found.

The findings stress the need to address seasonality at the single accommodation feature level. Beyond targeting specific features at different guest groups, new approaches could allow dynamic price optimization. Real-time insight can be used for the targeted marketing of platform providers and accommodation owners.

A novel application of a time series perspective reveals trends and seasonal changes in travelers’ accommodation feature preferences. The findings help better address travelers’ needs in P2P offerings.

The purpose of this paper is to provide empirical evidence on the significance of signal breaches from technical trading indicators in explaining variations in the level of corporate social responsibility disclosures (CSRD) by firms. The authors seek to determine whether firms disclose corporate social responsibility (CSR) information in a genuine attempt to report their impact on society and environment or whether firms use CSRD as a shield to legitimise their business operations.

Signal breaches from the Moving Average Convergence Divergence and Chande’s TrendScore technical trading indicators were utilised, while the voluntary environmental and social accounting disclosure index developed by Williams (1998) was adapted to measure the extent of CSRD by Singaporean firms in 2011. Ordinary least squares regression was the principal multivariate statistical technique used to analyse the data collected.

Findings of this paper indicate a positive and significant association between the number of technical indicator signal breaches for a firm and the level of CSRD by that firm, particularly in the environment, energy, human resources and products and customers categories.

The collection of CSRD information is based solely on annual reports and within the context of Singapore. Results, therefore, are not completely generalisable to different jurisdictional settings.

Findings suggest that firms with a volatile stock price trend provide greater CSRD, possibly as a legitimacy strategy to distract or change the perceptions of investors from its current legitimacy status. Findings, therefore, highlight to regulators the need to strengthen regulatory requirements and implement stricter guidelines on CSR reporting, given the importance of CSRD to users.

Findings from this study have several implications for various stakeholders including investors, regulators and society in general. Overall, findings also suggest that stakeholders should not rely solely on CSRD in their decision-making process.

This is the first paper that has proxied stock price movement by using breaches in technical trading indicators when examining reported levels of CSRD by firms. Moreover, results greatly build on the sparse CSR research on Singapore.