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Virtual communities are useful sources of travel information for tourists. To better promote the sustainable development of virtual communities and provide theoretical guidance, this study aims to explore how the cognitive load generated by tourists in the information-seeking process facilitates the formation of their continuance intention.

Built on the cognitive load theory and flow theory, this study investigates the formation mechanism of virtual community users’ continuance intention to seek travel information. A total of 328 valid questionnaires were collected and used for hypothesis testing.

The results show that perceived usefulness, perceived information consistency and prior experience positively affect continuance intention. Concentration and time distortion have significant effects on continuance intention. Moreover, concentration and time distortion mediate between prior experience and continuance intention.

This study clarifies the formation mechanism of virtual community users’ continuance intention of travel information seeking from a new perspective. The conclusions enrich the research on consumer behavior in the information search field and provide a reference for virtual communities.

The purpose of this study is to explore the relationships of web quality (system quality, information quality, and service quality), perceived value, and satisfaction to understand how these critical factors influence the continuance intention of using e‐learning systems in academic libraries.

The study data come from a convenience sample of 302 undergraduate and graduate students who were 18 to 25 years old. A structural equation modelling (SEM) technique was conducted to identify causal relationships.

The findings demonstrate that web quality has significantly positive influences on perceived value and user satisfaction. Furthermore, perceived value and satisfaction determines users' continuance intentions of e‐learning systems in academic libraries.

This study addresses self‐reported continuance intentions as part of the survey; as a result, it could have introduced inaccuracies. The implications of proposed e‐learning success model are discussed.

Academic librarians should reinforce the efficiency of e‐learning systems to influence users' willingness to continuously use such systems.

This paper highlights the determinants of continuance intentions of e‐learning systems in digital libraries and educates researchers, librarians, and system developers about how e‐learning systems are perceived by end‐users in digital libraries.