PurposeThis study attempts to explore major attributes of food delivery applications in consideration of their impacts upon perceived service quality, satisfaction and usage intention. A multi-group analysis is performed to examine the hypothesized relationships in the structural models for the millennials and non-millennials.Design/methodology/approachThe data was collected from 311 food delivery application users. The structural equation model (SEM) was designed to examine the interrelationships among variables.FindingsThe findings indicate that five salient dimensions that include ease of use, facility aesthetics, trustworthiness, value for money and product portfolio have a significant impact on overall service quality. Results further demonstrate that differences in generational difference partially moderate the relationship between each attribute of the food delivery application service quality as well as overall service quality.Originality/valueThe rapid evolution of the Internet and mobile communication has resulted in the proliferation of food delivery applications in China. However, to the best of our knowledge, only a few studies have focused on measuring the key dimension of service quality of food delivery applications.

Purpose This paper aims to examine how consumers’ perceptions of artificial intelligence (AI) chatbots influence individuals’ cognitive and emotional states and their subsequent behavioural intentions vis-à-vis online travel agencies (OTAs). Design/methodology/approach The survey sample comprised 566 customers who had experienced the use of travel AI chatbots in China using a combination of online and offline questionnaires. Partial least squares structural equation modelling was used to test the hypotheses. Findings The results revealed that interaction and information quality, as AI chatbot stimuli, significantly increase potential tourists’ trust and purchase intention. Perceived usefulness plays a mediating role in the relationship among interactivity, information quality, customer trust and purchase intention. Furthermore, the findings indicated that customers with high product familiarity exhibited greater trust in products demonstrating a high level of perceived usefulness. Originality/value By integrating cognitive consistency theory, this study theoretically validates the applicability of the stimulus–organism–response framework on AI chatbots and provides academics with useful insights regarding the influence mechanisms of human–computer interaction and information quality on customer response within OTA settings.

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Convention and exhibition management is a practical and emerging new major in colleges and universities. Students are required to master strong practical and comprehensive coordination skills. However, the professional demand of the convention and exhibition industry cannot be met under the traditional general education training model. Hence, the present study combines the professional work-oriented undergraduate training with the cooperative education concept and proposes the industry accreditation plus government advisory cooperative undergraduate training model. In addition, a school–enterprise dual-element student training system is built. The key realization path of the "four in one" of the government, school, industry, and students with students as the core is carried out combined with path–goal theory. The cultivation model proposed in this paper is approved and recognized by both students and enterprises. The reformed cultivation model improves the overall quality of graduates and the satisfaction of employers. This model can better meet the expectations from graduates of convention and exhibition majors in modern society compared with the traditional education model.