•The aim of this study was to explore factors influencing user's recommendation to use m-wallet.•We found that ease of use, usefulness, perceived risk, attitude, to have significant effect on user's ...intention.•We also determined the moderating effect of stress and social influence on user's satisfaction and recommendation.•This paper is a pioneer in the analysis of intention to use in India context.•This study provides a set of recommendations for companies.
Potential for the use of mobile wallet is enormous and it is drawing attention as an alternative mode of payment worldwide. The present research aims to provide important insights into the TAM (Technology Acceptance Model) and UTAUT2 (Unified Theory of Acceptance and Use of Technology) models. This study develops a conceptual model to determine the most significant factors influencing user's intention, perceived satisfaction and recommendation to use mobile wallet. The research model included 206 responses from an online and manual survey in India. Our study tested the moderating effect of innovativeness, stress to use and social influence on user's perceived satisfaction and recommendation to use mobile wallet services. We found that ease of use, usefulness, perceived risk, attitude, to have significant effect on user's intention, which further influenced user's perceived satisfaction and recommendation to use mobile wallet services. We also determined the significant moderating effect of stress to use and social influence on user's perceived satisfaction and recommendation to mobile wallet services. This study provides an integrated framework for academicians to measure the moderating effect of psychological, social and risk factors on technology acceptance. It can also help practitioners by identifying important factors affecting user's decision, which further affects user's perceived satisfaction and recommendation to use mobile wallet services.
•The study measures continued intention to use live streaming services.•The study extends perceived value theory by including innovativeness and enjoyment.•The study discusses about the streaming ...addiction to heavy viewing.•The study provides important insights and recommendations to streaming companies.•The study offers social implications to the viewers of streaming services.
Streaming services are becoming very popular among people and are considered as an entertainment alternative to the traditional model of broadcasting services due to its exclusiveness as well as better quality and variety of contents. The present article examines various factors influencing the continued intention to use live streaming services in India. To this end, the study fills the research gaps and extends perceived value theory by including a few important determinants, namely effort expectancy, performance expectancy, perceived innovativeness, perceived risk, perceived enjoyment and addiction to heavy viewing. The study contributes to the existing literature on streaming services addiction and extends its association with heavy viewing. Existing studies on addiction were found insufficient in explaining users’ heavy viewing of live streaming content, which has the potential to become a serious social problem in the future. The study’s findings suggest that the convenience value has the highest impact on users’ continued intention to use streaming services, followed by perceived enjoyment. The addiction to heavy viewing due to the use of streaming services by users has new social implications. The findings suggest that managers of streaming apps should promote their apps to consumers by highlighting various consumption values and make sure that their apps are attractive and provide personalized experience to the users. Moreover, the study discusses the growing addictive behaviour with regard to streaming services.
Electric and hybrid vehicles are a prominent technology in the transport industry for mitigating air pollution. This study aims to find the key factors which mediate product adoption by assessing the ...main barriers to purchasing, the impact of government financial incentives and other variables such as pro-environmental behavior and social reputation. Data were collected from 404 potential consumers and analyzed through two methods. Firstly, this study approaches a structural equations model. Secondly, neural networks are examined. The obtained results reveal reliability and government financial aids as the most significant motivators. In addition, the three major variables negatively impacting perceived reliability are limited range, charging time and low infrastructure availability.
•Reliability and incentives are the most significant motivators to adopt E&HV.•Three factors inhibit the improvement of perceived reliability.•Social reputation and environmental concern positively influence attitude.•There are some differences between SEM and ANN predictor rankings.
While research into customer engagement receives much attention, few studies have examined why consumers engage in social commerce and the resulting consequences for companies. This study explores ...the influence of social support and community factors on customer engagement and the subsequent effects on customer loyalty toward social commerce websites. We propose a model to investigate the differences between the influence of social support and three community factors (community drivenness, community identification and community trust) on customer engagement, and the impact of customer engagement on four customer loyalty dimensions, one transactional (repurchase intention) and three non-transactional (willingness to co-create, stickiness intention and positive eWOM intention). We conducted a survey and collected data from 437 users of Facebook social commerce websites. The findings show that customer engagement is a key predictor of the four dimensions of customer loyalty toward social commerce websites. In addition, the results indicate that social support and two community factors significantly affect customer engagement. We discuss theoretical and managerial implications.
•This study proposes a model of customer engagement in social commerce.•Social support and community factors increase customer engagement.•Customer engagement enhances co-creation, stickiness, eWOM, and repurchase intentions.
The online platforms (i.e., websites and social media) of Destination Management Organizations (DMOs) are among the most useful tools for building and promoting a destination image (DI). However, the ...associated effects on the DI have not been sufficiently studied and prior research has not assessed the influences of involvement on the DI formation process. The aim of this study is to explore the moderating effects of DMO online platforms on the DI through a conceptual model. The proposed model was empirically verified through an experiment and tested using PLS-SEM method. The findings demonstrate that tourist involvement has a positive impact on cognitive image and affective image, forming the DI as an antecedent of the intention to visit. The results also show that image formation and intention to visit the destination vary depending on the platform used by travelers to access the information.
•DMO websites and social media moderate destination image and intention to visit.•Tourist involvement has a positive impact on cognitive image and affective image.•Cognitive image and affective image lead to overall destination image.•Cognitive image plays a more important role, especially in social media.•These relationships have been confirmed through Facebook and Instagram models.
•The main goal is to analyze the individuals' use intention of m-commerce.•The objective is to determine which variables are the most relevant.•SEM was used to determine which variables had ...significant influence on m-commerce.•Neural network model was used to rank the relative influence of predictors from SEM.•This study provides a set of recommendations for companies.
Higher penetration of powerful mobile devices – especially smartphones – and high-speed mobile internet access are leading to better offer and higher levels of usage of these devices in commercial activities, especially among young generations. The purpose of this paper is to determine the key factors that influence consumers’ adoption of mobile commerce. The extended model incorporates basic TAM predictors, such as perceived usefulness and perceived ease of use, but also several external variables, such as trust, mobility, customization and customer involvement. Data was collected from 224 m-commerce consumers. First, structural equation modeling (SEM) was used to determine which variables had significant influence on m-commerce adoption. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results showed that customization and customer involvement are the strongest antecedents of the intention to use m-commerce. The study results will be useful for m-commerce providers in formulating optimal marketing strategies to attract new consumers.
This research aims to investigate the adoption gap in mobile payment systems between Italy and China, focusing on users’ intention to adopt mobile payment. The theoretical framing considers both ...drivers and barriers when combines the unified theory of acceptance and use of technology 2 (UTAUT2) with innovation resistance theory (IRT). To empirically verify the proposed model, this study gathers primary data through a web-based, self-administered survey. To analyze the data, we use structural equation modeling, and to test for significant differences between the two groups we run multi-group analysis. The respondents in Italy and China present different behaviors. Social influence plays a significant role in cultures with high uncertainty avoidance, such as Italy. The tradition barrier is the only significant barrier to the adoption of mobile payment.
Role of gender on acceptance of mobile payment José Liébana-Cabanillas, Francisco; Sánchez-Fernández, Juan; Muñoz-Leiva, Francisco
Industrial management + data systems,
01/2014, Letnik:
114, Številka:
2
Journal Article
Recenzirano
Purpose
– The purpose of the research is to try to explain the intention of adopting a new mobile payment (m-payment) system in a country where this type of payment systems does not have a presence. ...More exactly, to propose and test an integrative theoretical model that allows to determine the relative influence of the determining factors (external influences, ease of use, attitude, usefulness, trust and risk) for the acceptance of a new m-payment system and to analyze the eventual moderating effect of the gender of the consumer in the use of these tools.
Design/methodology/approach
– To carry out this research, a web experiment based on a general population sample was put in place, in order to analyze the proposed behavioral model towards a new m-payment system.
Findings
– The empirical results show that the proposed behavioral model was appropriately adjusted, thus proving that the gender of the user introduces significant differences in the proposed relationships between ease of use and usefulness of the new system, between usefulness, attitude and intention to use, as well as between users' trust and a favorable attitude towards its use.
Practical implications
– The conclusions and implications for management provide alternatives and segmentation strategies to consolidate this new business opportunity under the new technological developments.
Originality/value
– This paper is a pioneer study about the acceptance of m-payment, analyzing at the same time the importance of the moderation effect of users' gender.
There is growing interest in our society in making payments using mobile phones as an alternative to using cash, checks or credit cards. The objective of this study is to analyze the status of Near ...Field Communication (NFC) mobile payment systems in public transportation, as well as the factors that affect users' intentions to continue using said systems. To meet this objective, a personal survey was conducted on a sample of 180 users with experience using this type of system. A comprehensive review of the scientific literature justifies the development of a behavioral model that explains the continuance intention of NFC mobile payments through a structural equation model. The results show that satisfaction, service quality, effort expectancy, and perceived risk are determining factors of the continuance intention to use this technology. Finally, the managerial conclusions and implications offer the companies that manage these public services new business opportunities based on user behaviors.
•An analysis of the factors involved in NFC m-payment in public transportation.•A theoretical model was empirically assessed using SEM analysis.•Satisfaction is the factor with the greatest influence on continuance intention.•Service quality, effort expectancy, and perceived risk also impact on intention.•Convenience, social value and perceived trust do not show significant impacts.
As a modern alternative to cash, check or credit cards, the interest in mobile payments is growing in our society, from consumers to merchants. The present study develops a new research model used ...for the prediction of the most significant factors influencing the decision to use m-payment. To this end, the authors have carried out a study through an online survey of a national panel of Spanish users of smartphones. Two techniques were used: first, structural equation modeling (SEM) was used to determine which variables had significant influence on mobile payment adoption; in a second phase, the neural network model was used to rank the relative influence of significant predictors obtained by SEM. This research found that the most significant variables impacting the intention to use were perceived usefulness and perceived security variables. On the other side, the results of neural network analysis confirmed many SEM findings, but also gave slightly different order of influence of significant predictors. The conclusions and implications for management provide companies with alternatives to consolidate this new business opportunity under the new technological developments.
•The main goal is to analyze the individuals' intention to use NFC m-payment.•The objective is to determine which variables are the most relevant.•SEM was used to determine which variables had significant influence on m-payment.•Neural network models were used to rank the relative influence of predictors from SEM.•This study provides a set of recommendations for relevant stakeholders.
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