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Yaobin Lu

Researcher at Huazhong University of Science and Technology

Publications -  122
Citations -  10795

Yaobin Lu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Mobile commerce & Service quality. The author has an hindex of 40, co-authored 107 publications receiving 8623 citations.

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Integrating TTF and UTAUT to explain mobile banking user adoption

TL;DR: It is found that performance expectancy, task technology fit, social influence, and facilitating conditions have significant effects on user adoption and the unified theory of acceptance and usage of technology (UTAUT) model is integrated.
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Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China

TL;DR: It is confirmed that trust, perceived service quality, perceived customer value, including functional value and emotional value, contribute to generating customer satisfaction with MIM and that age, gender, and usage time have moderating effects.
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From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers' purchase intention

TL;DR: It is shown that familiarity, perceived similarity, structural assurance, and trust propensity are important antecedents to trust in members in VCs and that trust inMembers' ability significantly affects three dimensions of trust in the vendor/website in terms of ability, integrity, and benevolence.
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Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective

TL;DR: A trust-based customer decision-making model of the non-independent, third-party mobile payment services context is developed and indicates that trust indeed had a substantial impact on the cross-environment relationship and that trust in combination with the positive and negative valence determinants directly and indirectly influenced behavioral intention.
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Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory

TL;DR: It is demonstrated that users' perceived usefulness and perceived enjoyment significantly influence their attitude towards using IM, which in turn impacts their behavioral intention, which determines their actual usage behavior.