Purpose This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones. Design/methodology/approach A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis. Findings Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior. Practical implications The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity. Originality/value This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.

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Purpose The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy. Design/methodology/approach The present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model along with two additional constructs, i.e. self-efficacy and personal innovativeness. The data collection was done through an online survey, wherein a total of 324 valid responses were obtained for the statistical analysis. All the hypothesized relationships were tested through partial least square structural equation modelling (PLS-SEM) using an open source programming language and software environment, i.e. R Software along with plspm-package. Findings Significant predictors of smartphone fitness app adoption intention include effort expectancy, social influence, perceived value, habit and personal innovativeness. Further, this study confirms significant relationship between personal innovativeness and habit, self-efficacy and effort expectancy and effort expectancy and performance expectation. This study reveals that personal innovativeness is the strongest predictor of behavioural intention. Contrary to the expectations, factors like performance expectancy, facilitating conditions and hedonic motivation did not influence behavioural intention. Practical implications This study gives significant clues to app developers that can drastically influence the adoption of fitness apps. The findings suggest that marketers should focus on users with high personal innovativeness that can further act as role models and significantly influence their social circle. Interestingly, the findings suggest that fitness apps, as compared to other apps, should not emphasize much on the hedonic value of their offerings. Originality/value This study is one of the few studies to examine the adoption of smartphone fitness apps in an emerging economy context by using extended version of UTAUT2 model. Further, this study shows how new endogenous and exogenous variables (i.e. self-efficacy and personal innovativeness) contribute to better explanatory power of the UTAUT2 framework.

Purpose The purpose of this paper is to examine the relative influence of “reasons for” and “reasons against” adoption of mobile banking (m-banking) among Indian consumers. Design/methodology/approach Using the framework of behavioral reasoning theory (BRT), hypothesized relationships between values, reasoning constructs, attitude and intentions were developed. The hypotheses were tested using a representative sample of data obtained from Indian banking consumers (n=379). Confirmatory factor analysis and structural equation modeling were used to analyze the data. Findings The findings indicate that both “reasons for” and “reasons against” have an influence on m-banking adoption. Among the “reasons for” m-banking adoption, ubiquitous is the major determinant, and among the “reasons against” m-banking adoption, tradition barrier is the major determinant. The findings also confirm that value of “openness to change” significantly influences reasons for adoption and has no impact on reasons against and attitude toward m-banking. Research limitations/implications This study examines customers in only one context (i.e. India). Future research can examine samples in other countries so that the results can be generalized. Also the mediating role of demographic factors can be studied in future studies to predict m-banking adoption. Practical implications The findings of this study emphasize the importance of examining both the pro-adoption and anti-adoption factors while developing marketing strategy. This study confirms that m-banking adoption can be increased if managers attempt to minimize the effect of barriers of m-banking adoption. Originality/value This is the first study to examine m-banking adoption using BRT, which investigates the reasons for and reasons against m-banking adoption in a single framework.