Participant well-being and local festivals: the case of the Miri country music festival, Malaysia

Abstract

PurposeFestivals are becoming a growing commodity for countries keen to increase their portfolio of tourist attractions. The benefits experienced by the local community and the visitors at festivals are multi-faceted. However, existing tourism research has primarily focussed on the value of the event in terms of customer satisfaction. It has yet to explicitly identify the affect music festivals have on individuals' well-being. This study aims to investigate the effect of music festival unique attributes on visitors' satisfaction levels and how it influences individuals' well-being.Design/methodology/approachA paper-based questionnaire was distributed to participants visiting the Miri Country Music Festival (MCMF) in Malaysia, and partial least squares–structural equation modelling (PLS-SEM) was used for data analysis.FindingsThe results from 288 respondents revealed that the festival programme was the main attribute in influencing one's satisfaction to a festival, which in turn improved one's subjective well-being. The other attributes that influence an individual's satisfaction in a music festival include food, information services and festival value.Originality/valueThis study advances the body of knowledge by integrating the self-determination theory and the environmental psychology theory as the bases that a music festival potentially provides an engaging environment that is conducive for positive well-being among the participants. This is the first study that confirms the influence of the different predictors on the perceived value of MCMF, proposing a model in developing a better understanding of the participants' well-being.

The role of literary festival attendance in generating attendees' health and well-being

“…Moreover, similarly to Ballantyne et al (2014) and Tan et al (2020), who analysed the determinants that generate well-being for music festivals attendees, this case study shows that attendees' well-being benefits were promoted by the combination of five factors: festival programme, social environment, place, weather conditions and attendees' background. Thus, evidence suggests that the role of festivals in generating well-being is extremely complex, and IJEFM 12,3 more research is needed to better understand how attendance generates audiences' overall well-being.…”

“…Moreover, only a few studies examined the festival factors that generate attendees' well-being. For instance Tan et al (2020) argued that, in music festivals, the programme, food, information services and festival value are the main elements that influence subjective well-being. However, more studies are needed to fully understand the factors that influence attendees' health and well-being.…”

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“…Compared to the covariance-based SEM, Kervenoael et al (2020) elucidated that PLS-SEM offers greater flexibility to early-stage development types of study, which are frequently used for theory testing. Additionally, PLS-SEM has been deployed in studies of different contexts, including tourism (Mathew and Soliman, 2020), events (Tan et al, 2020c), education (Sim et al, 2020) and human resources (Tan et al, 2020a). Considering that the proposed model has not been previously tested before, and the purpose of our research is to extend TPB, PLS-SEM is appropriate for the analysis.…”

I give discounts, I share information, I interact with viewers: a predictive analysis on factors enhancing college students' purchase intention in a live-streaming shopping environment

“…Unlike the covariance-based SEM, PLS-SEM’s strength lies in its ability to perform predictive analysis of the model, which is one of the research objectives. Being a nonparametric method with no distributional assumptions, PLS-SEM is widely deployed in different study contexts, including tourism (Ali et al , 2018; Tan et al , 2020c; Fam et al , 2020), human resources (Tan et al , 2020a; Sarstedt and Danks, 2021; Tan et al , 2020d), education (Ghasemy et al , 2020; Sim et al , 2020; Tan et al , 2020b), technology adoption (Leong et al , 2020; Wong et al , 2019), consumer behavior (Tan et al , 2021) and knowledge management (Cepeda-Carrion et al , 2019). Following the recommendations by Hair et al (2017), we adopted a two-stage approach of assessing the measurement model followed by the structural model.…”