MOBILE PAYMENT ADOPTION IN SOCIAL COMMERCE: EXPLAINING BEHAVIORAL INTENTION USING FSQCA

2020 ◽  
Vol 2020 ◽  
pp. 1069-1079
2021 ◽  
Vol 2 (2) ◽  
pp. 106
Author(s):  
Fitri Novika ◽  
Renofia Desia Halim ◽  
Antonius Budhiman Setyawan

This study aims to examine the effect of technological and behavioral attributes on the adoption attributes of the ShopeePay mobile payment application in Indonesia. The application is known as financial technology (fintech), which combines information technology and financial systems. The approach used in this research is a quantitative approach that was processed using SPSS and AMOS. Data collection in this research was done by distributing online questionnaires using a google form to ShopeePay users who used the application in the past month. The results of this study indicate that behavioral intention and social influence variables have an effect on actual use, perceived usefulness and perceived ease of use have an effect on behavioral intention, perceived ease of use and responsiveness have a positive effect on perceived usefulness, and responsiveness and security variables have a positive effect on perceived ease of use, also has a positive effect on social influence.


2019 ◽  
Vol 16 (4) ◽  
pp. 472-497 ◽  
Author(s):  
Neharika Sobti

PurposeThe purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.Design/methodology/approachA survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.FindingsThe key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.Originality/valueIt is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.


2020 ◽  
Vol 8 (3) ◽  
pp. 134-147
Author(s):  
Yosaka Eka Putranta ◽  
◽  
Rusli Alamsyah ◽  
Lisan Tan ◽  
Dewi Tamara ◽  
...  

Indonesia mobile payment industry is growing organically especially since Indonesia is among the top 3 countries of internet users in Asia. Mobile payment has revolutionized the way we manage digital transactions and it offers a wide variety of payment facilities and benefits compared to cash, credit cards, debit cards or other payment methods. The effect of providing mobile payment users with numerous incentives, for example in the form of cashback, is a compelling factor to be investigated on mobile payments adoption in Jakarta, as various mobile payment operators intensively and continuously provide cashback as a means of customer attraction and retention. In this study, UTAUT2 was adapted to discuss the phenomenon that occurred and to compare the effect of providing incentives in mobile payment technology adoption versus the effect of other factors. Eight constructs from UTAUT2 model were carefully taken into this study, where the original constructs of UTAUT2, namely use behavior, behavioral intention, performance expectancy, effort expectancy, facilitating conditions, social influence and hedonic motivation, are maintained, while the construct of price value is adapted to become negative cost so that the present mobile payment industry can be applied more representatively. Despite the frequent practice of service providers giving incentives to customers and prospects, this study discovered that price value did not influence behavioral intention. Furthermore, behavioral intention is affected by performance expectancy, hedonic motivation and facilitating conditions, while use behavior significantly affected by behavioral intention.


2022 ◽  
Vol 20 (1) ◽  
pp. 1-23
Author(s):  
Daniel Możdżyński ◽  
Wojciech Cellary

To be effectively deployed, a mobile payment (m-payment) system must be provided by e-merchants and accepted by e-consumers. Although the problem of acceptance of m-payment systems by e-consumers has been widely researched, there are few studies about what actually motivates e-merchants to adopt and deploy these systems in their businesses in the first place. The goal of this research was to discover the behavioral intentions of e-merchants to adopt and deploy an m-payment system. The interviews approach was applied to 347 e-merchants randomly selected from among the whole population of 47,457 independent business units selling goods on-line in Poland. The PLS-SEM method was applied to determine the relationship between variables. Unexpectedly, perceived risk was not a significant factor influencing e-merchants' intention to adopt an m-payment system. The e-merchants’ behavioral intention was significantly impacted by the expected usefulness, perceived ease of deployment and use, perceived cost and price, and hedonic motivation.


2021 ◽  
Vol 34 (3) ◽  
pp. 21-40
Author(s):  
Pinghao Ye ◽  
Liqiong Liu

The authors study the effects of perceived interactivity on consumer behavioral intention according to the characteristics of consumer behavior in mobile social commerce. Results indicate that the intensity of information interaction has significant and positive effects on the depth, breadth, and novelty of consumer recommendations and reviews. The intensity of interpersonal interaction has significant and positive effects on community-based trust and response intensity. Information interaction has significant and positive effects on interpersonal interaction and suggestion adoption. Findings also reveal the relationship between interactivity and consumer behavioral intention in mobile social commerce. The conclusions provide theoretical support for studying how these constructs interact with each other.


Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1851
Author(s):  
Wan Rung Lin ◽  
Chun-Yueh Lin ◽  
Yu-Heng Ding

The convenience feature of mobile payment has replaced interactions with physical money and reduced transaction time, which better meets the demand of modern people for convenience in life. As mobile payments play an important role in mobile business, understanding the factors attracting consumers to mobile payment will bring mobile businesses more opportunities for development, and further significantly improve the output value of mobile businesses. This study discusses how to further influence consumer behavioral intention in Taiwan, as based on the main theoretical framework of the Extend Unified Theory of Acceptance and Use of Technology (UTAUT2) and Diffusion of Innovation (DOI). In this study, data analysis is implemented by Partial Least Squares (PLS) for the purpose of verifying the research model and hypotheses. The research results show that social influence, facilitating conditions, hedonic motivation, compatibility, innovation, relative advantage, and observability have positive influence on consumer intention to use mobile payment.


SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110565
Author(s):  
Kamal Abubker Abrahim Sleiman ◽  
Lan Juanli ◽  
Hongzhen Lei ◽  
Ru Liu ◽  
Yuanxin Ouyang ◽  
...  

The technology acceptance model (TAM) has been regarded as a promising model for understanding technology adoption and can be extended to different situations. Currently, mobile payment services have been widely applied in people’s daily lives in China, and understanding their critical success factors is becoming important. Mobile payments are a complex system, and a large number of factors affect their success. Since mobile payments are directly related to financial issues, their wide adoption relies heavily on people’s trust. We developed a model based on the TAM to investigate the most influential factors in building trust within the mobile payment context. We conducted an empirical survey and 373 samples were collected using a valid questionnaire from the users of the popular payment platforms in China—Alipay and WeChat payment. We found that government monitoring is the most significant factor of customer trust, followed by reputation, and security. Government monitoring directly influenced behavioral intention, was negatively associated with perceived risk and positively affected behavioral intention. Moreover, mobility, subjective norms, usefulness, ease of use, and perceived enjoyment impacts customer behavioral intention.


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