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AbstractMobile phone users are increasingly adopting mobile payment technologies. Previous studies about mobile payments rarely consider customer psychological and market environmental factors. This article explores the mobile payment adoption issue based on a model integrating variables from the technology acceptance model (TAM) and the innovation diffusion model (IDT), as well as risks, social influence and internet experience, taking into account the circumstances of the Chinese market. Our analyses of a random sample of 922 mobile users show that these factors significantly impact the adoption of mobile payment in China. The degree of their influence and functions vary between mobile users who have mobile payment experience and others without such experience.

Purpose
The purpose of this paper is to explore the antecedents of self-disclosure intention on mobile social applications. This study integrates privacy calculus model and elaboration likelihood theory to reconcile the rational and heuristic views of privacy decision making.


Design/methodology/approach
Using a "random dialing" sampling method, an empirical survey with 913 respondents was conducted. A series of regression models were employed to test the proposed relationships. Robust checks with sub-group analysis were conducted.


Findings
Self-disclosure intention develops along a dual route including the central route and the peripheral route. When the central route predominates, social media users form their attitudes toward self-disclosure based on a rational calculus of the privacy concern and perceived rewards. When the peripheral route predominates, users perform a more heuristic evaluation of relevant informational cues (information about privacy harms, the extent of information asymmetry between users and operators) and contextual cues (flow experience, privacy disclosure of friends). Peripheral cues moderate the relationships between central cues and self-disclosure intention.


Originality/value
This paper extends the Elaboration Likelihood Model by investigating the interaction between the central route and peripheral route. The results provide alternative explanations on the renowned "privacy paradox" phenomenon.