The fast-growing penetration of mobile devices and recent advances in mobile technologies have led to the development of increasingly sophisticated services such as m-shopping for goods or services and m-payment. However, although the number of mobile subscribers is increasing, levels of actual m-commerce activities in many cases remain low. Determining what influences users' intention to use m-commerce is therefore of growing importance. The purpose of this study was to investigate possible factors. To this aim, we developed a conceptual user adoption model based on technology acceptance model variables and on specific factors such as social influence, personal innovativeness, customization, and individual mobility. The empirical results show that social influence and customization significantly affect perceived usefulness; mobility, customization, and personal innovativeness significantly affect perceived ease of use; and perceived usefulness and perceived ease of use have a direct positive effect on behavioral intention.
It is becoming increasingly important in the healthcare setting to treat patients as consumers and measure their satisfaction with medical services rendered. As such, patient satisfaction should be considered an important output of a country's healthcare system, basically reflecting the stage of its development. The conducted study tested students’ satisfaction with the quality of service provided by student polyclinics. In particular, the study has analysed the impacts of personal relationships, promptness and tangibility on student satisfaction. The findings imply that all three factors significantly affect patient satisfaction, with personal relationships having the strongest impact. Such results suggest that healthcare providers should encourage their doctors to devote more time to their patients and show genuine concern for patients’ problems if they wish to improve overall satisfaction of their patients with the delivered services.
Purpose
The purpose of this paper is to determine the significant antecedents of peer-to-peer (P2P) m-payment acceptance and explore the moderating effects of gender on the influence of these predictors with regards to intention of using the system.
Design/methodology/approach
The research was conducted on a sample comprised of 701 Spanish smartphone users. A multi-group structural equation modeling analysis was used to test the moderating effect of gender with a particular focus on the relationships between the latent variables of the research model.
Findings
The study identified significant differences between the two observed groups – the results show that men are more likely to use mobile payments than women and are therefore less influenced by the potential risks involved. In addition, men are more easily influenced by their social environment, whereas women are more influenced by their personal innovativeness.
Originality/value
The study proposes a three-level model, based on an extended TAM model. It is a pioneering study, exploring the effects of gender on P2P m-payment acceptance. Due to its novel value and the potential involved, the results of the study may be of great importance for m-payment providers, particularly in marketing strategy planning and customer segmentation.
Purpose
– The purpose of this paper is to identify the antecedents of satisfaction and revisit intentions for full-service restaurants. The economic crisis is known to have had a deep impact on consumer behavior with regards to restaurants and this study is primarily focussed on exploring the effects on the traditional antecedents of satisfaction and revisit intentions as full-time restaurants attempt to reposition their offer.
Design/methodology/approach
– The study involved 218 respondents who were guests of full-service restaurants. In terms of statistical analyses, confirmative factor analysis was used to test the suitability of the proposed model for measuring satisfaction and revisit intentions, while structural equation modeling was employed to analyze the relationship among variables of the conceptualized model.
Findings
– The results confirmed the significant impact of atmosphere and quality of interaction on guest satisfaction. It was interesting to notice that perceived price has no statistically significant impact on guest satisfaction. In addition, satisfaction, along with atmosphere and perceived price emerged as a significant trigger of revisit intentions. While measuring impact of atmosphere and perceived price on revisit intentions, both direct and indirect effects were measured.
Originality/value
– This study emphasizes in particular, the significance of revisit intention as an important behavioral reaction and reveals its antecedents. In a limited number of studies, models for understanding triggers of revisit intention were developed as separate variables, rather than as components of behavioral reactions. In that context, the tested model identifies causal relationships between latent variables. Restaurants involved in the survey are full-service restaurants dealing with the changing behavior of guests who are heavily impacted by the economic crisis. Guests show a tendency to reduce their visits to restaurants in these circumstances, forcing restaurants to reformulate their service offering in order to align with changing customers’ needs.
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