Examining the influential components of tourists' intention to use travel apps: the importance–performance map analysis

Abstract

PurposeThe main objectives of this study are to (1) explore underlying components and attributes of travel applications that influence traveler usage intention and (2) investigate which contents should be prioritized to increase the efficiency of travel apps.Design/methodology/approachThis study uses importance–performance map analysis (IPMA) with an innovative approach (i.e. generalized structured component analysis [GSCA]) to identify components and attributes that have relatively high and low significance for the target construct (i.e. travel app's usage intention).FindingsAn integrated model influenced by three components (i.e. entertainment, travel review and medical and emergency information is proposed to have an impact on travelers' intention to use travel apps). The IPMA results indicate that restaurant and shopping receive the utmost emphasis from Thai domestic tourists who use travel apps, and sports and attraction are regarded as less critical attributes.Practical implicationsThe app content scales identified in this study can be used as a basic framework for app developers, service providers and tourism authorities to design a travel app. The IPMA results also help concerned practitioners to make decisions on which contents/attributes should be incorporated and improved.Originality/valueThis study implements IPMA using a GSCA estimator to present the standard results reporting on the path coefficients of each of the attributes of travel app services. The results not only contribute to the improvement of app features and services, but also suggest an innovative approach for generating pertinent IPMA results with GSCA, thus contributing to the theoretical and methodological advancement in hospitality and tourism areas.