No abstract

No abstract

Sustainable tourism emphasises responsible utilisation of economic, socio-cultural and environmental resources for tourism development. Extant literature in sustainable tourism leans towards subjective and qualitative description in explaining the dynamic nature of the trans-disciplinary indicators of sustainability. However, few mechanisms have been proposed or developed to quantify the indicators measuring sustainable tourism in an indigenous ethnic context. The current study measures 61 sustainable indigenous tourism indicators of the Mah Meri ethnic group that comprise three constructs, namely, community resources, community development and sustainable tourism. Simple random sampling was employed for data elicitation and a weighted average score using R software as the basis of analysis was used to produce a sustainable indigenous tourism barometer (SITB). The study identifies 11 sustainability dimensions from the initial three main constructs that are treated as the relationship aspects in this study. Based on the Sustainable Indigenous Tourism Barometer (SITB), community participation, empowerment, economic and socio-cultural sustainability are found to be the main influencing dimensions of sustainability of the Mah Meri ethnic group. However, natural resources, financial resources and environmental sustainability indicated weaker relationships in explaining sustainability of the Mah Meri ethnic group. Based on the SITB, the results demonstrate that the Mah Meri ethnic group are a "potential sustainable" tourism stakeholder.

PurposeThis study examines the influencing factors of smart technology use behaviour (STUB), influencing tourist satisfaction and enhancing revisit intention for the Chinese tourism destination. Further, the moderating role of place attachment on the relationship between STUB, tourist satisfaction and revisit intention has been examined.Design/methodology/approachThe study employs quantitative methodology by incorporating the planned behaviour theory to develop the hypotheses. Using an online survey link, 409 responses were collected from the tourists employing a non-probability convenience random sampling technique.FindingsThe partial least squire-structural equation modelling (PLS-SEM) results show that social influence significantly affects STUB, tourist satisfaction and revisit intention. Also, the anticipated positive behaviour has positive and significantly affects STUB and revisit intention. Finally, the findings show that tourist satisfaction significantly affects revisit intention in the tourist destinations in China.Research limitations/implicationsA quantitative research design was applied, employing a random sampling technique, and surveys were conducted with tourists only in current research. However, future research can incorporate a wide range of methodology by collecting data from other tourism stakeholders to have an in-depth evaluation of repeat visitation behaviour. Future research can enhance the current conceptual framework by including other relevant variables like negative anticipated emotions at other locations, as the current study was conducted in the Chinese context.Originality/valueThis research adds value to the tourism destination to formulate tourist satisfaction and revisit intention. Implications are provided for a more nuanced understanding and effective planning in tourism destinations while considering smart technology use.

This present study examines the level of customer satisfaction of three government agencies Royal Malaysian Police (RMP), National Registration Department (NRD), and the Public Works Department (PWD) in Malaysia. Studies on these three government agencies were conducted in Selangor, Johor, Perak, and Pulau Pinang since these agencies in these states received the highest complaint from consumers. A total of 270 employees and 627 customers from these three agencies of the four states were the respondents of the present study. Results showed customers are not satisfied with the services given by the government agencies (RMP, NRD, and PWD). Therefore, efforts to improve employee's attitudes, and more reforms in the areas of work should be continued by the Government of Malaysia in government agencies in order to maintain the excellent work.