Investigating antecedents of mobile payment systems’ decision-making: a mediated model

Biometric m-payment systems: A multi-analytical approach to determining use intention

Wide enough acceptance and adoption of mobile payment technologies and systems is a prerequisite for consumer adoption of many, if not most, mobile commerce services. Based on the innovation diffusion theory of Rogers (1995) we present results from two, concurrent sets of empirical data on merchant adoption of mobile payment systems. In addition to the potential advantages of mobile payments we also identified several barriers to their adoption, most clearly in four categories: relative advantage, compatibility, complexity and costs.

The technological innovations in mobile payment systems have brought a revolutionary change in the way online payments are carried out. The availability of robust and secure infrastructure has further motivated users to execute financial transactions through handheld devices like smartphones and tablets. Determinants like low cost and powerful devices, affordable Internet plans and simplified payment interfaces have also contributed to adoption of mobile payment systems and made it the preferred payment option among mobile users. However, the aspects critical to mobile payment processing like transaction security, data privacy and network reliability keep raising concerns among mobile users where the users always remain worried about cyber-attacks like eavesdropping, denial of service, viruses, phishing, etc., and performance issues like network availability, low bandwidth and so on, act as a challenge and hindrance for mobile users to trust mobile payment systems and thus limit their usage. Novel mobile payment architectures, models and security techniques have been proposed in recent past to resolve these issues where each approach focused on providing solutions to a specific issues. This paper proposes a new architecture and presents a novel security approach for mobile payments system. The proposed architecture clearly defines the role and responsibilities of each participating entity and takes care of all the concerning issues in mobile payment system. Multi-factor authorization security approach based on hashing and cryptography has been adopted which adds an extra security layer before the transaction gets executed and it generates a unique OTP always. The proposed approach is implemented as a Web application and validated through experimentation. Lastly, the results are empirically analyzed and presented.KeywordsMobile paymentSecurity techniquesOTPArchitecture

Predictive and explanatory modeling regarding adoption of mobile payment systems

To explore the influencing factors of the adoption of mobile payment systems from the perspective of merchants, this study builds a data analysis model based on three different ensemble learning algorithms, Adaboost model, random forest and XGBoost model, where static social-economic attributes, dynamic trading behavior and clustering effect variables of merchants are used as independent variables. Moreover, this paper establishes the prediction models and analyzes the prediction accuracy of different models. The results of the study indicate that: 1) Merchants in the housing industry, health hospitals and retail industries are more willing to adopt mobile payment systems; 2) The average daily transaction volume and the average amount of each consumer significantly affect the merchant mobile payment adoption behavior; 3) The adoption of mobile payment systems by neighboring merchants significantly positively affected the adoption behavior of merchants; 4) On the basis of the social-economic attributes of merchants, the hit rate and accuracy of the prediction model were greatly improved after adding transaction data.

This study investigates factors affecting the adoption of mobile payment systems among Millennials and Generation X in Malaysia by applying the Theory of Reasoned Action (TRA), the Theory of Planned Behaviour (TPB), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT). The online questionnaire was conducted to collect data from 103 respondents. By using the regression analysis, the findings show that effort expectation and social influence are significant to adopting a mobile payment system among Millennials and Generation X in Malaysia. In contrast, performance expectations, perceived risk, and perceived cost are insignificant. The study has improved the understanding of Millennial and Generation X’s perception on mobile payment systems in Malaysia. Some recommendation to enhance the usage of mobile payment system among the Millennials and Generation X in Malaysia is provided at the end of the study.

Mobile payment enables consumers to purchase goods and services as well as transfer money using a mobile phone. This qualitative study aimed at investigating the factors that are affecting consumers in using mobile payment in Malawi using Zap [mobile payment system] as an example. Snowball sampling technique was used to identify study participants in Blantyre District. Inductive and deductive qualitative data analyses were carried out based on the transcriptions of interviews. Study findings show that relative advantage, complexity, compatibility, cost, trust and security, network externalities and situational factors affect use of mobile payment systems. In addition, personal characteristics and use of mass media play a role in the adoption of mobile payment systems. The findings reinforce the existing theory of Diffusion of Innovation and adoption of mobile payment systems. The study recommends improvement in the network stability, extension of the service to banks and utility service providers, and recruitment of more mobile payment agents across the country.

The swift growth of mobile technology has spurred the adoption of mobile payment systems (MPS) among middle‐ and high‐income groups in emerging economies. However, MPS penetration remains low in the bottom of the pyramid (BOP) segment, necessitating further study. Current research on MPS adoption often shows a pro‐innovation bias, potentially overlooking resistance and challenges faced by BOP populations. This study examines MPS resistance among the BOP population, with a focus on both rural and urban segments, and is grounded in Innovation Resistance Theory (IRT). Employing a mixed‐methods approach, the research uses an exploratory sequential design. 15 semi‐structured interviews were conducted in the qualitative phase with BOP non‐users, selected via purposive sampling across diverse rural and urban locations. Thematic analysis of transcripts identified key factors constituting MPS resistance, informing the design of a structured quantitative survey. The administered survey gathered 354 responses from BOP participants using purposive sampling. Quantitative data were analyzed using SPSS 25.0 and AMOS 23.0, with structural equation modelling employed to test and validate the conceptual model. The study identifies usage, value, tradition, and risk barriers, as well as anxiety and technological alienation, as significant predictors of MPS resistance, with tradition barriers being the most substantial. Moderation analysis reveals that BOP type (rural vs. urban) significantly influences these relationships, with rural individuals exhibiting higher resistance due to elevated concerns about risk, tradition, and technological alienation. This research extends IRT by incorporating affective dimensions such as anxiety and alienation. Findings highlight the need for culturally and contextually sensitive, gradual introduction of MPS in BOP communities to enhance financial inclusion.

Mobile payment systems have been predicted to grow at the same pace as mobile phones and internet shopping for several years now. However, their slow adoption in most countries calls into question the general justifications rooted in economic and technology-acceptance models. This paper proposes that the successful adoption of mobile payment systems depends more on satisfying institutional constraints found in country-specific environments, rather than complying with industry- and resource-based views. Following a review of institutions, institutional carriers, and their constraining effects, mobile payments are examined from the perspective of regulative, normative, and cognitive institutional carriers. Then, the case of Japan's widely used mobile payment system Mobile Suica is introduced to illustrate how a tight institutional fit can ensure wide acceptance. The findings of this research can be applied to other mobile payment systems currently offered to identify and minimize the gaps with their institutional environment, thus speeding up their adoption.

Nowadays, the smartphone applications play a critical role in every aspect of our life, as in the case of Jordan Mobile Payment (JoMoPay) system that can be used to save time, effort and money. Despite the immense benefits of JoMoPay system services, their acceptance by users in Jordan is very low. Moreover, the related issues of JoMoPay system has not been addressed substantially in the Jordanian context. In this respect, the research model proposed in this paper seeks to synthesize the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model variables namely; Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Peer Influence (PI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) as immediate predictors of intentions of users to accept JoMoPay system. In addition, to join new variables namely; Trust (TR) as the moderating effect among them.

Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied

The purpose of this paper is to investigate the factors involved in adoption of a new innovation by consumers specifically in the mobile payment services context. With the mobile penetration of nearly 70% in India, mobile payments services have huge potential in the country; however, customer adoption of mobile payment systems is very low. Therefore, there is a need for research to identify the factors affecting consumer intention to use mobile payment systems. To get meaningful comprehensive insights on customers' perception and usage intention of mobile payment systems, current research validates a model based on Technology Acceptance Model (TAM) using a sample of urban population from two metros in India. The empirical findings indicate that the constructs of performance expectancy, effort expectancy, social influence and facilitating conditions have significant impact on mobile payment services adoption among the consumers. This study provides insights into mobile payment services in India which has not been investigated well. Also, there is lack of studies which connect consumer attitudinal factors like performance expectancy, effort expectancy, social influence and facilitating conditions in the e-finance and mobile finance context especially in India.

The growth of mobile commerce depends on widely accepted mobile payment systems. Although new mobile payment systems have been increasingly introduced in Asia, Europe and the United States, their adoption has remained modest. Little research has been conducted to examine and explain adopters' views on the new payment technology. In this article, we explore merchant adoption of mobile payment systems empirically and discuss factors that drive and inhibit their adoption. Our results suggest that the main adoption drivers are related to the means of increasing sales or reducing the costs of payment processing, whereas the barriers to adoption include complexity of the systems, unfavorable revenue sharing models, lack of critical mass, and lack of standardization. Based on our findings, we propose a conceptual framework of adoption enablers, drivers and barriers with propositions to guide future research in this emerging area. Implications for practice and means to overcome the barriers are suggested.

Several developed and developing countries have launched a mobile payment system service, which is known in Jordan as Jordan Mobile Payment (JoMoPay) system to overcome the drawbacks of traditional payment system. The system supports payment transactions by utilising mobile phones applications. However, the acceptance of JoMoPay system in Jordan is still below the level of expectation. This study was undertaken to understand and explain the acceptance of JoMoPay system based on extending the unified theory of acceptance and use of technology (UTAUT2) model in the Jordanian context. The model was extended by considering two additional constructs namely; security and privacy. Utilising a self-reported survey, collected data was analysed using structural equation modelling (SEM) to test the research model. Five constructs were found to be the determinants of behavioural intention to use JoMoPay system, namely performance expectancy, social influence, price value, security and privacy. Together they account for 61.4% of the variance in behavioural intention. However, effort expectancy, facilitating condition and hedonic motivation did not have a significant impact on behavioural intention to use JoMoPay system and hence the related hypotheses were not supported. Lastly, conclusions, limitations and future research directions will be discussed further in the last section of the paper.

Technological progression in mobile phones has increased the popularity of mobile payments. Users can shop online through a mobile device, which is time saving and convenient. Mobile payment systems involve ongoing interactions between users and payment providers. The initial acceptance of mobile payment systems has been studied extensively, but few studies have attempted to understand users’ post-adoption behaviour. This study employs an integrated model with the unified theory of acceptance and use of technology (UTAUT) framework and the expectation confirmation model (ECM), along with two additional constructs: perceived security and trust. The empirical results show that the integrated model has a higher predictive power to explain continuance intentions for using mobile payment systems with significant factors of satisfaction, trust, performance expectancy, and effort expectancy. This study confirmed that the UTAUT model could be extended to explain post-adoption behaviour towards mobile payment systems. The study’s findings have theoretical and practical value to further the understanding of pre- and post-adoption behaviour towards mobile payment systems.