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Purpose This study aims to examine the relationships between tourism destination competitiveness (TDC) determinants and tourism performance. This study specifically assessed the soundness of the TDC attributes and evaluated their ability in explaining tourism performance. Design/methodology/approach The Dwyer and Kim’s (2003) destination competitiveness integrated model (IM) was used. Secondary data of 115 nations available from the Travel and Tourism Competitiveness Index (TTCI) and other international reports were also used. The hypothesised relationships were tested via partial least square-structural equation modelling (PLS-SEM). Findings This study confirms that the core resources, complementary condition, globalisation and tourism price significantly explain tourism performance. Results have shown differences in the competitiveness level and actual performance among nations, highlighting specific limitations of the current TDC model and TTCI report reliability. Research limitations/implications Future study could segment the sample base on destinations characteristic and then analyse it based on smaller sub-samples of similar destinations. Moreover, drivers of destination performance in developed and less develop destinations are quite diverse. Practical implications The incorrect competitiveness ranking evaluation will affect inward investment decisions. This study framework enables policymakers to arrive at more informed decisions than merely relying on the original competitiveness rankings. Originality/value The widespread acknowledgment of the importance of competitiveness for a tourism destination's success suggests that there is a crucial need for sound benchmarking of countries’ competitive capabilities. The proposed competitiveness determinants aid the policymakers in identifying the best competitiveness and tourism performance predictors, as well as how to identify crucial factors affecting the rankings.

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PurposeThe purpose of this paper is to examine the factors influencing passenger adoption and behaviour of self-service technology (SST) in airports. This study adopted the Theory Acceptance Model (TAM) and extended the model by including the need for human interaction (NI) construct in the study framework.Design/methodology/approachThe research framework is based on the theoretical concepts of SST usage from the inter-disciplinary field. Four hundred two questionnaires were collected from passengers who used the self-check-in kiosks in Kuala Lumpur International Airport (KLIA and KLIA2). The collected data were analysed using the structural equation modelling (SEM) technique.FindingsDifferent factors determine passengers' willingness and adoption of SSTs. Perceived ease of use and perceived usefulness significantly affect passenger adoption and behaviour of SSTs in airports. However, the passenger was much comfortable with the SST as the moderating effect of need for human interaction shows a negative result.Practical implicationsThe findings contribute to an understanding of how and why passengers use SSTs, which is critical from a customer relationship management (CRM) perspective. Better strategies can be developed to manage and coordinate SSTs delivery in the airport by understanding the passengers’ experience from the self-check-in kiosks.Originality/valueThis paper goes beyond the basic SSTs usage and intentions study by highlighting the nonimportance of human interaction in SSTs usage specifically by airport passengers.