Mobile Payment Systems Research Articles

Exploring consumer mobile payment innovations: An investigation into the relationship between coping theory factors, individual motivations, social influence and word of mouth

This study incorporates the social influence with the conceptualizations from the coping theory to investigate tourists' disposition towards mobile payment system (MPS). The data from 355 tourists who used MPS to make tourism-related payments have been collected using purposive sampling. The partial least squared structural equation modeling results suggested that perceived value, threat, controllability, and social influence affect tourists' MPS usage intention. It has been further stemmed that the tourist's intent to use MPS also recommend it to others. Nevertheless, a second study has been conducted to achieve generalizable results; additionally, the technology readiness index was integrated into the existing model as a moderator. Data has been collected again from a different group of tourists meeting the criteria, and 377 responses have been received. The results revalidated the earlier findings of study 1; moreover, results suggest that the optimism of the tourist does not play its role in encouraging them to share their experience. However, innovativeness moderates the relationship between intention and word of mouth. Moreover, PLS-Predict depicted substantial predictive power of the model, and importance and performance analysis revealed usage intention is the most crucial driver for determining word of mouth. This study contributes to academic research by combining coping theory and social influence and investigating the moderating role of technology readiness in molding tourists' word-of-mouth behavior for MPS. The study's findings can be helpful for travel operators and banks in increasing tourists' intention and recommendation behavior regarding their usage of MPS.

Drivers and inhibitors of the diffusion of "near field communication" technology in the mobile phone payment system in Iran

Drivers and inhibitors of the diffusion of "near field communication" technology in the mobile phone payment system in Iran

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

Although mobile payment systems offer countless advantages, they do present certain drawbacks, mainly associated with security and privacy concerns. The inclusion of biometric authentication technologies seeks to minimise such drawbacks. The aim of this article is to examine the effect of key antecedents of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and perceived risk on the intention to use a mobile payment system featuring biometric identification. A new hybrid analytical approach is taken. A sample of more than 2500 smartphone users was obtained through an online panel-based survey. Two techniques were used: first, structural equation modelling (PLS-SEM) was conducted to determine which variables had a significant influence on the adoption of the mobile payment system, and second, an artificial neural network (ANN) model was used, taking a deep learning approach, to rank the relative influence of significant predictors of use intention obtained via PLS-SEM. The study found that the most significant variables affecting use intention were performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and risk. In contrast, subjective norms, price value and habit were found to be weak predictors of use intention. The results of the ANN analysis confirmed almost all SEM findings but yielded a slightly different order of influence among the least significant predictors. A review of the extant scientific literature revealed a paucity of published studies dealing with the adoption and use of mobile payment systems featuring biometric identification. The conclusions and managerial implications point to new business opportunities that can be exploited by firms through the use of this technology.

Merchant adoption intention of mobile payment platforms in Malaysia

PurposeIn recent years, Malaysia has seen a dramatic change in the landscape of financial transactions due to the fast growth of mobile payment systems. This study aims to examine the technological, organisational and environmental (TOE) factors of merchants’ adoption intention to use mobile payment platforms essential for the continuing development and profitability of these cutting-edge payment options.Design/methodology/approachThe research model was developed from the TOE framework and tested with the data collected from 120 merchants in Malaysia. The partial least squares structural equation modelling technique was used in analysing the collected data.FindingsTechnology readiness and competitor pressure were directly related to merchants' mobile payment adoption intention and indirectly through perceived strategic value. Also, perceived ease of use and perceived strategic value were significant predictors of the adoption intention of mobile payment.Originality/valueThis model demonstrates the relevance of TOE in explaining merchants' mobile payment adoption intention, with implications for policy and strategy to support the broader adoption of mobile payment platforms in Malaysia.

An empirical examination of push-pull-mooring factors influencing restaurant customers’ intention to use mobile payment: a comparison of mobile payment service types

ABSTRACTWith recent advances in mobile technologies, mobile payment systems that offer advantages to service providers have been widely used in the service industry. In this paper, the authors analyze the impact of mobile system characteristics on customers’ behaviour across different types of mobile payment systems (i.e. mobile proximity payment, mobile peer-to-peer payment, mobile in-app payment) in the restaurant field. Based on the push-pull-mooring factor model, the authors evaluate the proposed model using survey data collected from restaurant customers regarding their experiences with mobile payments. The results indicate that the mooring factor (i.e. subjective norm) and the pull factor (i.e. perceived ease of use, perceived usefulness) are predictors of the attitude to use a mobile payment system. However, the push factor (i.e. perceived risk) does not influence customers’ behaviour. Moreover, the relationship between the mobile payment system experience and its outcome varies across different types of systems. The perceived ease of use influences only proximity users, not in-app payment and peer-to-peer users. Findings also highlight the role of perceived usefulness in the mobile payment context across different demographic characteristics. Thus, the findings of this study provide guidelines for future mobile payment-related studies and business strategies.

Two decades of mobile payment research: A systematic review using the TCCM approach

AbstractResearchers have increasingly explored various aspects of mobile payment in the past two decades, including different mobile payment systems (MPS), stakeholders, and related research contexts. However, existing literature reviews are limited to user adoption, overlooking the importance of understanding other key stakeholders, such as retailers and MPS providers, and post‐adoption behaviors. To address this gap, this comprehensive review examines exhaustive 310 studies in the MPS literature using the theory‐context‐characteristics‐methods framework, providing insights into all stakeholders and contexts studied. The findings highlight the need for further research in areas such as peer‐to‐peer payment, MPS adoption in lower‐income countries, MPS discontinuance behavior, socioeconomic impact, and consumer privacy issues. Additionally, the study suggests expanding the scope of MPS research to include emerging mobile payment options like buy now pay later and facial recognition payment system (FRPS). This research contributes valuable insights and proposes future research directions for MPS studies.

Application of Big Data Technology in Mobile Payment Security

The rapid growth in mobile technologies, particularly mobile payment platforms, has led to increased risks of fraudulent activities. This paper investigates how big data analytics can enhance fraud detection mechanisms in mobile payment systems. The research question explored is: “How do big data analytics enhance fraud detection mechanisms in mobile payment platforms?” The study adopts a quantitative approach to understand the correlation and impact of big data analytics on fraud detection mechanisms, analyzing detailed records of financial transactions and publicly available databases. The paper addresses current gaps in research regarding the utilization of big data analytics in mobile payment environments, highlighting the strategic importance of big data in fraud prevention and fortifying the defenses of mobile payment platforms against modern cyber threats.

A PLS-SEM Approach to Investigate the Effect of Satisfaction on Willingness to Recommend M-wallet Services

Mobile wallets (m-wallets), a particular form of mobile payment system, are gaining considerable attention in different emerging markets. This study uses the stimulus-organism-response model to understand how user recommendation depends on intention to use and satisfaction in the m-wallet payment system at the post-adoption stage in emerging markets. This research also investigates the mediating role of satisfaction between intention to use and recommendation. Online convenience and snowball sampling yielded 474 valid responses. This research applied the partial least squares-structural equation modelling approach to determine the relationship among the latent variables, model parameters estimation and mediation analysis. The results show that significant stimuli, namely brand awareness, perceived quality, compatibility and functional congruity, influence the intention to use m-wallets and users’ satisfaction. The analysis explains that improving the intention to use is insufficient to control the willingness to recommend because users’ satisfaction partially mediates between intention to use and willingness to recommend. Our study contributes to m-wallet users’ propensity to refer to the emerging market’s context. This study explains how customer satisfaction affects m-wallet users’ willingness and intention to make a recommendation at the post-adoption stage.

중국 모바일 간편 결제 서비스의 지속적 사용의도

The main purpose of this study aims to present implications for the supervision and management of mobile simple payment services by identifying the impact of system benefits and disadvantages on perceived value, and to present implications for the security and development direction of mobile simple payment services by verifying the moderating effect of personal innovation. The main methodology of this study conducted a survey of users with experience in using Chinese mobile simple payment services, and a total of 309 questionnaires were used as analysis data. The statistical processing of the survey data collected for empirical analysis was conducted using SPSS 26.0. The summary of the research results focusing on the hypothesis test results is as follows. First, it was found that the social impact, economic feasibility, and mobility of the mobile simple payment system all had a significant positive (+) effect on the perceived value. Second, it was found that the perceived risk and complexity of the mobile simple payment system had a significant negative (-) effect on the perceived value. Third, the perceived value of the mobile simple payment system was found to have a significant positive (+) effect on the intention to continue use. Fourth, the perceived value of the mobile simple payment system was found to strengthen the positive (+) effect of mobility on the perceived value among the factors of benefits of the mobile simple payment system, and the negative (-) effect of complexity on the perceived value was alleviated. Focusing on the results of this study, the following implications were presented. It is believed that Chinese mobile simple payment system operators should strive to secure more users to strengthen social values, convenient systems, personal information protection, simplify systems, and provide innovative services.

Consumers' usage of mobile payment systems: an application of the innovation resistance and coping theory on the tourism sector

PurposeMobile phone payment is a significant advancement in e-commerce and retailing. This study aims to look at the influencing factors for the attainment or letdown of mobile payment systems (MPS). The coping theory (CP) and innovation resistance theory (IRT) components were applied in the tourism sector.Design/methodology/approachThe data were gathered from 402 tourists who utilized MPS for the first time to book their vacation. In a longitudinal study, an online questionnaire was used to contact clients of several travel businesses to predict their intentions and behavior. Covariance-based structure equation modeling (CB-SEM) was applied using IBM-SPSS AMOS to analyze the data.FindingsCP factors provided highly thought-provoking results, calling into question several apparent beliefs. At the same time, the relationships covering the aspects of the IRT were supported. It has also been found that intentions are a valid predictor of behavior.Practical implicationsThe study's findings can be used by governments, media houses, hotels and travel and tourism agencies, particularly in developing countries like Malaysia.Originality/valueThis study adds to the existing literature by offering a complete model that demonstrates the influence of conceptualizations utilized from the most robust theories connected to technology toward MPS for trip reservations from the perspective of developing countries. Importantly, this study measures the consumers' continuous buying behavior by employing a longitudinal research design.

Modeling and Analysis of Three Properties of Mobile Interactive Systems Based on Variable Petri Nets

Due to the mobility and frequent disconnections, the correctness of mobile interaction systems, such as mobile robot systems and mobile payment systems, are often difficult to analyze. This paper introduces three critical properties of systems, called system connectivity, interaction soundness and data validity, and presents a related modeling and analysis method, based on a kind of Petri nets called VPN. For a given system, a model including component nets and interaction structure nets is constructed by using VPNs. The component net describes the internal process of each component, while the interaction structure net reflects the dynamic interaction between components. Based on this model, three properties are defined and analyzed. The case study of a practical mobile payment system shows the effectiveness of the proposed method.

Usage Analysis of Mobile Payment System to Consumer Continuance Intention in Jabodetabek

This research aims to study the continuous intention of mobile payment usage using the Technology Acceptance Model (TAM) theory with the extended model using perceived trust and subjective norms. A survey conducted through 25 questions questionnaire using a 5-point Likert scale with a total of 158 respondents was obtained by multiplying indicators by 6, with SEM-PLS method using SmartPLS 4.0. The analysis shows that perceived satisfaction significantly affects continuance intention to use mobile. The effect of subjective norms on continuance intention to use mobile payment is significant, and perceived ease of use and perceived usefulness have shown a positive relationship to perceived satisfaction. The perceived trust does not significantly affect the continuance intention to use mobile payment. In the previous study, continuance usage of mobile payment is conducted in South Africa, which is a gap in people's finances. The main limitation of this research is the limited data and a very diverse profile of respondents, which may have needed to be more fairly represented in this study. These results suggest that the mobile payment service provider effectively improves customer satisfaction. Gaining more trust in many aspects to make customers use mobile payment continuously. Perceived satisfaction has a positive relationship to keep the continuance intention to use mobile payment systems.

Assessing the Impact of Mobile Money Interoperability on Small and Medium Scale Enterprises Payments and Receipts in Ghana

Background: The study examines the influence of mobile money interoperability on the payment and receipts of small and medium-sized businesses, with case studies from the Ga Central Municipal Assembly. The findings are intended to provide insight into how mobile money interoperability has benefited SMEs, as well as the level of awareness among SMEs and the challenges they face in using the mobile money interoperability service in their daily operations, in order to make recommendations to relevant stakeholders to improve service delivery in the municipal assembly and throughout Ghana.
 Methods: The research design for the study is quantitative in nature specifically a survey design. The study established that mobile money interoperability has a positive effect on payment and receipts of SMEs in many ways.
 Results: Accessibility, efficiency, and dependability, as well as transaction prices and transaction time, are all elements that influence SMEs' decision to use mobile money interoperability, according to the report. The study also discovered that mobile money interoperability has an impact on SMEs' profitability, sales turnover, credit sales/purchase payments, and daily sales.
 Conclusions: The report recommends that SMEs improve their awareness of mobile money interoperability payment and receipt systems in order to increase usage and educate SMEs on interoperability theft, usage, and benefits in order to make it safer and more beneficial for them. Finally, the study recommended that mobile money providers make conscious efforts to strengthen the security characteristics of mobile money interoperability systems in order to prevent theft cases.

A redesigned secure and efficient data transaction protocol for mobile payment system

Generally, the secure protocol was proposed from the certificateless signature (CLS) scheme to provide the corresponding security for the actual application. However, for the previous application protocols, most of the underlying CLS schemes cannot have their claimed security, because some proposals cannot resist forgery attacks or the master secret key can be captured by the probabilistic polynomial time adversary. To further address the above problems, we take several previous CLS schemes as instances to make a detailed analysis of the causes of the above security flaws and point out that, in a secure CLS scheme, we should appropriately publish the public parameters. Based on the above analysis, we design an efficient and secure CLS scheme in this paper, and the unforgeability is proved based on the hardness of discrete logarithm complexity assumption through the Forking lemma. Compared with the existing constructions, our new proposal has advantages in communication and computation efficiency but also has higher security. Furthermore, a concrete construction of a certificateless aggregate signature (CLAS) scheme is designed with the above basic CLS scheme to realize efficient verification of multiple signatures. Finally, we further improve the key conditions that need to be paid attention to design a secure CLS scheme.

Customers’ intentions to use mobile payment service: a comparative study of payment system types

With the development of mobile technology, mobile payment services are some of the fastest growing transaction systems in the industry. However, studies of mobile payment systems have focused on retailing settings; few studies have examined them in the service setting. Thus, this research explores the effects of mobile payment system–related characteristics (i.e. perceived ubiquity, perceived security, perceived ease of use, perceived cost) on customers’ intentions to use mobile payments in the restaurant setting. An online survey (n = 370⁣) was conducted in the United States. The data are analyzed by partial least squared-structured equation modeling. The study results demonstrate that restaurant customers’ intentions to use mobile payment are largely determined by perceived usefulness, trust, and attitude. Among them, perceived usefulness is the most important factor for predicting customers’ intentions across different types of mobile payment systems (i.e. mobile proximity payment, mobile peer-to-peer payment, mobile in-app payment). These findings have useful theoretical and practical implications for better understanding customers’ mobile payment usage behavior.

How does fintech affect bank efficiency in Taiwan?

This study investigates the impact of financial technology (fintech) on bank efficiency in Taiwan from 2007 to 2020, using parametric and non-parametric analyses. In the future, fintech is expected to play an important role in bank sustainability operations. The findings show that fintech-related initiatives affect bank efficiency. These results illustrate how fintech can help banks directly or indirectly improve their efficiency, leading to higher profits or lower costs. For instance, mobile payment systems, a fintech-related initiative, improve bank efficiency. However, this degree of improvement is not substantial. In general, the findings imply that fintech-related initiatives do not significantly improve bank efficiency, implying an IT "productivity paradox."

THE IMPACT OF MINDFULNESS ON MOBILE PAYMENT TOOL USAGE

The application of mobile payment has not been spread to all Indonesians. However, there are many companies that have started to release and develop their own versions of mobile payment systems. Mobile payment systems, which are innovative forms of financial processing, connect customers and vendors online to complete transactions. The implication of mindfulness has been implicated in many mobile business intelligence technologies. Therefore, this research aims to determine the implications of mindfulness on mobile payment; to analyze hypotheses regarding the performance of mindfulness in affecting perceived usefulness, perceived ease of use, subjective norms, and attitudes. SEM applies with statistical methods in representing data and applies many models in achieving research objectives and resolving research problems. There were 251 data that represented active users who had experience in using mobile payments. The results of this research indicate that mindfulness has good exploratory strength in predicting consumer intention to adopt mobile payment, and it is proven that has a positive and significant impact on its four dimensions such as perceived ease of use, perceived benefits, and attitudes, which directly affect the intention to use.

The Application of Big Data and Artificial Intelligence Technology in Enterprise Information Security Management and Risk Assessment

With the development of digitalization and Internet technology, enterprise information security is facing more and more challenges. Many enterprises have begun to adopt big data (BD) and artificial intelligence (AI) technology for risk assessment (RA) and prediction to effectively manage information security risks. This article discusses the application of BD and AI technology in enterprise information security management (ISM) and RA from two aspects. Firstly, the mobile payment signature scheme based on number theory research unit is used to improve the security of the mobile payment system. This scheme uses lattice algorithms to achieve fast key generation, signing, and verification and can resist traditional cryptographic attacks. Secondly, a set of enterprise ISM and RA system is established, including risk identification, RA, monitoring and early warning, emergency response, and other links. BD and AI technology is used to analyze internal and external data to provide accurate RA results to achieve automated RA.

What drives consumers to use P2P payment systems? An analytical approach based on the stimulus–organism–response (S-O-R) model

PurposeTraditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.Design/methodology/approachTo achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.FindingsThe results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.Originality/valueThis research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.

Fintech (Financial Technology) Dalam Sistem Pembayaran Non Tunai Di Perbankan Syariah (Studi Kasus Pada Bank Muamalat KCP Lamongan)

This study aims to find about: (1) fintech service in the mobile banking-based non-cash payment system (Muamalat-DIN) at Bank Muamalat KCP Lamongan: (2) implementation of fintech in the mobile banking-based non-cash payment system (Muamalat-DIN) at Bank Muamalat KCP Lamongan. This study uses a descriptive qualitative research method. The results of this study are: (1) fintech services in the non-cash payment system in Muamalat-DIN are transfers, QRIS, credit top-ups, internet credit top-ups, electronic money top-ups, google play voucher codes, spotify premium, postpaid credit payments, PLN electricity, Telkom, cable TV, PDAM, IPB campus education payments, airplane tickets, ZISWAF, family takaful, BPJS employment, BPJS health, SAMSAT/SIGNAL, BPJPH, virtual accounts, multi payments, and hijrah pensions (DPLK); (2) the implementation of fintech at Bank Muamalat varies, there are Muamalat-DIN, phone banking, internet banking, MADINA, online share-e debit, and ATMs. The most popular Fintech at Bank Muamalat KCP Lamongan is Muamalat-DIN. In Muamalat-DIN, customers of Bank Muamalat KCP Lamongan often use services in the form of transfer, QRIS, credit top-ups and internet credit top-ups, electronic money top-ups, payment services such as PLN electricity, Telkom, PDAM, ZISWAF, BPJS for employment, BPJS for health, virtual accounts, and hijrah pension (DPLK). This fintech implementation has benefits for banks and customers, the benefit for Bank Muamalat KCP Lamongan is that it will have a wider reach, operational and marketing costs are more economical. And the benefits felt by customers are that transactions are easier, faster, accessible 24 hours because access is via a smartphone, and customers don't need to carry a lot of cash everywhere.