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- User-generated content and its impact on purchase intent for tourism products: a comparative analysis of millennials and centennials on tiktokPublication . Ramos, Eva Correia; Ramos, CeliaIn an increasingly technological society, online social networks are essential to support consumer purchasing decisions, primarily through User Generated Content (UGC). In this research, we look at the influence of UGC on purchase intent applied to the tourism product on the TikTok social network. In this sense, a survey was applied to TikTok users aged between 18 and 42 to compare their behaviour with that of the two generations: Millennials and Centennials. The results indicate a relationship of influence between credibility and the usefulness of information and between usefulness and social influence on the intention to buy tourism products and services. In addition, a comparison was made between the results of the sample of individuals belonging to the Millennial Generation and the sample of individuals belonging to the Centennial Generation, with the main discrepancy in the results being the relationship between the need for information and the usefulness of information. These insights pave the way for further research aimed at establishing more robust conclusions in this area.
- Do investors tend to overreact when investing in clean energy stock indices?Publication . Dias, Rui; Galvão, Rosa; Cruz, Sandra P.; Gonçalves, Sidalina; Irfan, Mohammad; Teixeira, Nuno; Alexandre, Paulo; Palma, Cristina; Almeida, LilianaDue to climate change, investors are increasingly interested in clean energy stocks attracting many investors due to clean energy prospects. This paper analyses investor overreactions to long-term prices in various clean energy stock indices, such as Clean Energy Fuels (CLNE), Global Clean Energy (GCEI), as well as the Dow Jones Industrials (DJI) stock index, over the period from 24 February 2022 to 23 May 2024. The results show that the Global Clean Energy (GCEI) clean energy stock index rejects H0 at the 16-day lag at a significance level of 1%; similarly, the Clean Energy Fuels (CLNE) index rejects the null hypothesis at lags 8, 9, 10, 11 and 12 days, both indices show negative serial autocorrelation, which means that price movements are not entirely random and are influenced by prior price movements. This evidence could mean that investors overreact to the information that reaches the market. On the other hand, the ETF (PWYF) and the Dow Jones Industrial Stock Index (DJI) show that the random walk hypothesis has not been rejected. In other words, these markets show that they are in equilibrium and that the existence of exaggerated reactions on the part of investors is not significant. The answer to the research question was partially accepted, so the Russian invasion of Ukraine in 2022 led to the partial presence of overreactions in these stock indices. In conclusion, investors operating in these markets should exercise caution and consider their risk tolerance before investing. Investors should, therefore, continue to monitor market trends and adjust their investment strategies accordingly.