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In a voluntary consumer market, the consumer's decision‐making process is still a magnetic topic although a large number of related studies have been conducted. The purpose of this paper is to explore the determining factors for the future adoption of an innovation service and proposes a new model to better explain consumer's adoption intention.

Social cognitive theory is introduced in the paper to explore consumer behavior in terms of triadic and reciprocal causation among value, self‐efficacy, and adoption constructs. Based on the theoretical framework, a self‐efficacy‐based value adoption model (SVAM) is proposed to study the adoption of mobile auction (m‐auction) – one of mobile‐internet services in an empirical manner. The analysis of measurement and structural model is conducted via LISREL 8.80.

Research results indicate that the instruments are reliable and valid and the model is well accepted. Perceived functional, social, and emotional values are tested to have a significant influence on perceived value. Perceived cost is negatively related to perceived value and positively to attitude. m‐auction self‐efficacy (MASE) comes from subjective and objective general self‐efficacy, which not only directly impacts attitude but also strongly influences perception of all the antecedents of perceived value.

Although SVAM is proved to be successful in this paper, it still needs more experimental research from different research contexts and authors to be supported.

Compared with previous research on innovation adoption, results show that the model is more effective in explaining the adoption intention (R²=0.72). Just like perceived value has a significantly impact on attitude, self‐efficacy of m‐auction has an essential role in perceived values and cost and attitude. The result fully demonstrates that the value adoption model based on self‐efficacy is a better technology acceptance model, especially for a voluntary consumer market.

The purpose of this paper is to study the important factors which help explain consumer intention and use behavior in mobile banking (m-banking) adoption. All constructs of the unified theory of acceptance and use of technology 2 are studied. Non-monetary value is studied through perceived value. Trust and perceived risk are also included to predict intention.

A questionnaire was utilized to evaluate customer responses on a five-point Likert scale. A convenience sampling technique was used to collect data from a sample of 490 respondents in Pakistan. The data were analyzed using AMOS and SPSS for Cronbach’s α, CR, CMV, AVE, Harmon’s single factor test, correlation and structural equation modeling.

The results of the study show that most of the predictors of intention, including perceived value, performance expectancy, habit, social influence, effort expectancy, hedonic motivation (except for facilitating condition), perceived risk and trust, are significant. All predictors of usage behavior are significant.

A cross-sectional study was conducted due to time constraints.

Bank managers must focus on improving customers’ intentions to use m-banking as well as on providing facilitating conditions to increase its actual use. To boost mobile banking, banks’ management must consider the customers’ habits while designing their m-banking products.

The findings of this paper are not only interesting in terms of boosting m-banking diffusion rate, but also in terms of financial inclusion of the vast majority of mobile users. Further the impact of intention, facilitating condition and habit were checked on actual use behavior since people tend not always to act upon their intentions.