Green purchasing behaviour of international tourists in Malaysia using green marketing tools: theory of planned behaviour perspective

Purpose This study aims to examine the effects of green marketing tools on tourists’ behavioural intention to buy green products by measuring individuals’ subjective norms, attitudes and perceived behavioural control. Design/methodology/approach A total of 421 international tourists from several tourist attractions in Malaysia, selected through convenience sampling, participated in a survey. Findings The analysis results using partial least squares structural equation modelling suggest that behavioural intention of international tourists is firmly influenced by attitude, perceived behavioural control, subjective norms and green marketing tools. However, the subjective norm does not work as a mediator. Practical implications The relationships established in this study provide insight into hoteliers’ knowledge for further implementation of green marketing strategies (eco-label, eco-brand, environmental advertising), which can enhance green attitudes and behavioural intention of purchasing green products in the hospitality industry. Originality/value This study expands the theory of planned behaviour by including green marketing tools to measure international tourists’ green buying tendency in Malaysia.

Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour

PurposeGiven the increasing industry interest in blockchain technologies for supply chain management and product traceability, this paper aims to investigate consumer purchasing intentions for blockchain traceable coffee and their psychosocial antecedents, utilising an extended model of the theory of planned behaviour (TPB).Design/methodology/approachAn online questionnaire study of 123 participants was deployed, using two traceability systems (one based on blockchain and one on a more established traceability certification) for organic coffee.FindingsAdding variables such as environmental protections, trust and habits significantly increased the predictive power of TPB. The results suggest that attitude, perceived behavioural control and environmental protections drive intentions to purchase blockchain traceable coffee.Research limitations/implicationsApart from establishing the factors affecting consumer intentions for blockchain traceable coffee, this study validates the TPB as a model of explaining coffee purchasing intentions and provides evidence of new variables that can significantly increase the model's predictive power.Practical implicationsThe proposed format of presenting traceability information along with the significant variables revealed in our study can function as a guide for designing product features and marketing strategies for blockchain traceable organic coffee. Increasing consumer awareness on product traceability will also play a crucial role in the success of these products.Originality/valueThis study is the first to explore consumer purchasing intentions for blockchain traceable coffee and establish the psychosocial variables behind them contributing, in that way, to an understudied area in academic literature as well as providing insights for a more consumer-centric design of such products.

The role and importance of perceived risk in medical tourism. Applying the theory of planned behaviour

The main aim of the study was to investigate the role and importance of perceived risk in medical tourism (MT). The research demonstrates that the country of origin and an assessment of the respondents’ own health condition significantly moderates the impact of their attitudes on behavioral intention. The research shows a strong correlation between the risk perceived by the respondents and their attitudes towards MT services. This relationship is significantly moderated by risk awareness, aversion to risk and gender. Additionally, an important factor in the model is the level of satisfaction with medical services in their own country. The survey using a fully structured questionnaire was conducted among young consumers from Jordan, Poland and Turkey. To verify the hypotheses, a multiple regression model with interactions was used.