Linear and nonlinear relationships: a hybrid SEM-neural network approach to verify the links of online experience with luxury hotel branding

Abstract

PurposeMobile technologies have recently come to serve as the primary reservation option for the hospitality industry. This study examines the role of online experience in determining potential consumers' perceived hotel brand image, through a three-stage model based on the stimulus–organism–response (SOR) framework.Design/methodology/approachA dual-stage analytical procedure, including structural equation modeling (SEM) and an artificial neural network (ANN) approach, was adopted to test the hypotheses.FindingsOnline experience of mobile applications (apps) can be influenced by perceived usefulness. As the indivisible component of consumers' cognitive beliefs, perceived ease of use exerts a positive impact on online experience. The online experience of mobile apps positively influenced brand awareness and satisfaction, further contributing to potential consumers' brand image formation.Research limitations/implicationsThis study empirically verified the relationships among potential hotel consumers' perceptions of official hotel mobile app quality, online experience and brand image.Practical implicationsThis study reiterates the importance of official hotel apps in implementing online marketing strategies, suggesting that hoteliers should pay attention to enhancing the quality of their official apps.Originality/valueThis study is one of the first to combine machine learning techniques with the traditional SEM approach to assess linear and nonlinear relationships in consumers' perceptual models. Additionally, the findings provide theoretical insights into the online experience of mobile apps and reveal the perceived brand image formation process of potential consumers.