The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN)

Liébana‐Cabanillas, Francisco; Sánchez‐Fernández, Juan; Muñoz‐Leiva, Francisco

doi:10.1016/j.ijinfomgt.2013.12.006

Cited by 224 publications

(162 citation statements)

References 87 publications

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“…It has been used in Internet-based technology studies in various areas, such as m-payment and m-banking (Ha et al 2012;Kim et al 2010;Liébana-Cabanillas et al 2014;Schiertz et al 2010;Shin 2009), m-health (Akter et al 2013), Internet banking (Cheng et al 2006), e-services (Featherman et al 2010), m-services (Mallat et al 2009;Zarmpou et al 2012), mobile Internet (Kim et al 2007), and m-commerce (Bhatti 2007;Chong et al 2012;Chan and Chong 2013;Li and Lv 2007;Lu 2014;Wei et al 2009;Wong and Hsu 2008;Wu and Wang 2005;Zhang et al 2012). These studies confirmed the strong influence of perceived usefulness on user acceptance.…”

Section: Perceived Usefulnessmentioning

confidence: 77%

“…It was proposed by Davis (1989) and is an adaptation of the theory of reasoned action, which was derived by Fishbein and Ajzen (1975). It has recently been applied in studies in various areas such as online banking (Chong et al 2010;Lin et al 2014), wireless technology (Yen et al 2010), mobile services (Zarmpou et al 2012), Internet banking (Lee 2009), mobile payment (Kim et al 2010;Liébana-Cabanillas et al 2014;Schiertz et al 2010), and m-commerce (Cho 2008;Chong et al 2012;Chong 2013;Shih and Chen 2013;Wei et al 2009;Wong and Hsu 2008). In TAM, two particular beliefs-perceived usefulness and perceived ease of use-are crucial for predicting users' adoption of new technology.…”

Section: Factors Affecting Adoption Of M-commercementioning

confidence: 99%

“…Perceived ease of use has been used as an influential factor in new technology adoption in studies of many areas, including e-services (Featherman et al 2010), mobile payment (Kim et al 2010;Liébana-Cabanillas et al 2014;Schiertz et al 2010;Shin 2009), Internet banking (Cheng et al 2006), mobile services (Mallat et al 2009;Zarmpou et al 2012), mobile Internet (Kim et al 2007), and mobile commerce (Bhatti 2007;Chan and Chong 2013;Chong et al 2012;Li and Lv 2007;Lu 2014;Wei et al 2009;Wu and Wang 2005;Zhang et al 2012). Yen et al (2010) found a significant, direct effect on users' behavioral intention to adopt wireless technology, on both perceived ease of use and perceived usefulness.…”

Section: Perceived Ease Of Usementioning

confidence: 99%

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Determinants of users’ intention to adopt m-commerce: an empirical analysis

Kalinić

Marinković

2015

Inf Syst E-Bus Manage

131

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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.

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Section: Perceived Usefulnessmentioning

confidence: 77%

Section: Factors Affecting Adoption Of M-commercementioning

confidence: 99%

Section: Perceived Ease Of Usementioning

confidence: 99%

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Determinants of users’ intention to adopt m-commerce: an empirical analysis

Kalinić

Marinković

2015

Inf Syst E-Bus Manage

131

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“…According to TAM, the perceived usefulness is the degree to which a person believes that adopting a particular system will increase his effectiveness and job performance (Davis, 1993). Different studies have demonstrated that perceived usefulness has a direct relationship with attitude (Muñoz, Hernández-Méndez, & Sánchez-Fernández, 2012;Shin, 2012), as well as the intention to use (Liébana-Cabanillas, Sánchez-Fernández, & Muñoz-Leiva, 2014;Pai & Huang, 2011). In the context of our research, we consider that the perceived usefulness of the payment system will influence the intention to use through user's attitude toward the payment system.…”

Section: Perceived Usefulnessmentioning

confidence: 99%

Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments

Liébana‐Cabanillas

Luna

Montoro-Ríos

2017

Economic Research-Ekonomska Istraživanja

Self Cite

113

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The rapid growth of mobile technology among the world's population has led many companies to attempt to exploit mobile devices as an additional tool in the business of sales. In this sense, the main objective of our study resides in comparing the factors that determine the acceptance by consumers of the SMS (Short Message Service) and NFC (Near Field Communication) mobile payment systems as examples of means of future payment. The model used in our research applies the classic variables of the Technology Acceptance Model, as well as that of Perceived Security, a model deriving from the review of the major relevant recent literature. The results achieved in this study demonstrate that there are differences in the factors that determine the acceptance in each of the systems, as well as the level of the Intention to Use. Finally, we highlight the main implications for management and cite some strategies to reinforce this new business in the context of new technical developments.

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“…27 Therefore, this research paper focuses on mobile payment systems on VSNs, using SMS technology to perform payments.…”

Section: Payment Systems In the New Electronic Environments: Mobile Pmentioning

confidence: 99%

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis

Guillén

Herrera

Pomares

et al. 2015

Int. J. Intell. Syst.

Self Cite

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The rapid growth of social networks has led many companies to use mobile payment systems as business sales tools. As these platforms have an increasing acceptance among the consumers, the main goal of this research is to analyze the individuals' use intention of these systems in a social network environment. The data used were collected after performing an experiment using the Zong Payment tool. The paper includes a comparative analysis of several machine learning methods applied to the variable selection problem considering strategic, sociodemographic, and behavioral variables. The methods were applied isolatedly and, in a novel approach, using multiobjective optimization criteria. The results obtained by these algorithms were validated by an expert committee, who ranked them on the basis of their quality. The proposed methodology obtained the best results in terms of optimization as well as the highest scores from the experts. C 2015 Wiley Periodicals, Inc.

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The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN)

Cited by 224 publications

References 87 publications

Determinants of users’ intention to adopt m-commerce: an empirical analysis

Determinants of users’ intention to adopt m-commerce: an empirical analysis

Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis

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