Cashless Payment in Tourism. An Application of Technology Acceptance Model

Wulandari, Nuri

doi:10.14505/jemt.v8.8(24).10

Cited by 11 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Customers must have confidence in cashless payment systems in order to embrace them. Past research has shown that cashless payment systems may actually increase efficiency and save time (Wulandari, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…PE is the best indication of consumers’ technology adoption intents and viewpoints according to our research (Venkatesh et al, 2012). PE or its representative constructs strongly correlate with customers’ views in many global e-banking surveys (e.g., Alaeddin et al, 2018; Bailey et al, 2017; Wulandari, 2017). Aslam et al (2017) and Tian and Dong (2013) investigated Chinese and Pakistani mobile payment services.…”

Section: Performance Expectancymentioning

confidence: 99%

“…Customers' evaluations were found to be strongly impacted by utility. Wulandari (2017) found that PU strongly impacted cashless tourist payments in Indonesia. Bailey et al (2017) and Schierz et al (2010) studied mobile payment uptake in Germany and the US, respectively.…”

Section: Performance Expectancymentioning

confidence: 99%

See 2 more Smart Citations

UTAUT Determinants of Cashless Payment System Adoption in Thailand: A Hybrid SEM-Neural Network Approach

Namahoot,

Boonchieng

2023

Sage Open

View full text Add to dashboard Cite

Research has been limited on what factors may make customers feel uncomfortable with using electronic payment systems. The purpose of this research study was to develop a model that analyzed the dimensions of the unifiB01;ed theory of acceptance and use of technology (UTAUT) with extra structures to understand how gender can affect whether consumers decide to embrace cashless payment systems in Thailand. Accordingly, 416 valid answers were submitted by banking customers utilizing the survey instrument. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to kick off the process of creating a measurement model. Structural equation modeling (SEM) was then used to pinpoint the most pressing factors that prevent people from embracing online banking systems. The purpose of this research was to develop a technology acceptance model with extra structures to understand how attitudes and perceived risks affect people’s decision-making process as to whether they embrace cashless payment systems in Thailand (i.e., innovativeness). In the second stage, we used a neural network model to rank the importance of various SEM-derived predictions. The results demonstrate a robust association between Internet banking and the value barrier, the risk barrier, and the image barrier. The only factor that indicated any kind of negative influence on whether people chose to use Internet banking was the conventional barrier. Remarkably, the image barrier affected Internet banking adoption more than the risk barrier or the no-frills alternative. Furthermore, according to the data, men experienced greater challenges than women. The findings of this study may help financial institutions create offerings that entice customers to conduct financial dealings with them online. The banking industry could immensely benefit from this research since it may lead to changes in the laws that govern banking and could ultimately enhance customer service and online services.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Performance Expectancymentioning

confidence: 99%

See 1 more Smart Citation

UTAUT Determinants of Cashless Payment System Adoption in Thailand: A Hybrid SEM-Neural Network Approach

Namahoot,

Boonchieng

2023

Sage Open

View full text Add to dashboard Cite

show abstract

“…Studi yang dilakukan di Timur Tengah menemukan pengaruh positif performance expectancy terhadap sikap konsumen dalam penggunaan layanan mobile banking (Patil et al, 2020). Performance expectancy berpengaruh positif terhadap sikap penerimaan pembayaran non-tunai (Nuri Wulandari, 2017). Selanjutnya, penelitian terdahulu juga mengungkapkan bahwa performance expectancy merupakan faktor penting dalam mendorong sikap positif dalam penggunaan layanan digital (Hamzat & Mabawonku, 2018).…”

Section: Performance Expectancy Terhadap Attitude Dan Behavioral Inte...unclassified

Perilaku Penggunaan “Qris Bri Brimo” Pada Pedagang Sebagai Alat Transaksi Pembayaran Digital

Wibowo

Rimadias

2022

ULTIMA Management

View full text Add to dashboard Cite

Abstract- This study aims to analyze the behavior of using "QRIS BRI BRIMO" at merchants as a means of digital payment transactions in Indonesia. This study uses a descriptive research design approach with empirical data collected through an online survey of 100 merchants who adopt "QRIS BRI BRIMO" as a means of digital payment transactions. Data was collected using an online questionnaire from May to August 2022. Empirical data was then processed using the Structural Equation Model Partial Least Square (SEM PLS) to test some of the hypotheses proposed. The results of the study explained that Behavioral Intention proved to have a positive effect on Use Behavior, but Facilitating Conditions proved to have no effect on Use Behavior. Effort Expectations and Social Influence have been shown to have a positive effect on Behavioral Intentions, whereas Attitudes, Performance Expectations, and Facilitation Conditions have been shown to have no effect on Behavioral Intentions. In addition, Trust and Effort Expectations have been shown to have a positive effect on Attitudes, but Performance Expectations have been shown to have no effect on Attitudes. The implications of this research become a reference for the banking industry in designing a payment system in the form of the QRIS feature as a means of digital payment transactions. Keywords: QRIS; Trust; Attitude; Behavioral Intention; Use Behaviour.

show abstract

“…Cevik, 2020; Kraenzlin et al , 2020; Barabas and Schmidt, 2021; Khanra et al , 2021). Also, the cashless payment system can enhance the tourist experience and provide a competitive advantage to market destinations (Wulandari, 2017; Ozturk, 2016; Miniaoui et al , 2019). In the future, also due to the expected launch of CBDC (Turkay et al , 2019), digital payment infrastructure will be a fundamental asset for tourism.…”

Section: Literature Reviewmentioning

confidence: 99%

Tourism seasonality management strategies – what can we learn from payment data

Ramos

Murta

2022

JHTI

View full text Add to dashboard Cite

PurposeA convenient payment system is increasingly recognized as an asset of tourism destinations. By using data on payments with cards issued in foreign countries, together with other monthly tourism flow variables, the authors assess the importance of card payments to identify seasonality in inbound tourism in Portugal.Design/methodology/approachThe authors compute seasonality measures using Portuguese data on card payments from 2003 to 2019, together with data on nights spent and the Balance of Payments travel credit. The authors also assess seasonal behaviour in the timespan of the different tourism strategic plans in place during this period.FindingsCard payments grew at a faster pace than the other inbound tourism variables and show a seasonal pattern similar to the other variables. Seasonality decreases when variables measured in quantities are considered (nights spent and number of card transactions). However, when the authors use value variables (Balance of Payments travel credit and value of card transactions), seasonality in 2019 is higher than in 2003.Research limitations/implicationsThe widespread use of digital payments makes card payment information an even better proxy of tourism activity and since it is available in a short time-span it has informational potential for tourism stakeholders and for researchers in this field.Originality/valueThe authors study the seasonal behaviour of foreign card payments along with other international tourism flow variables. The authors’ results highlight the informational potential of card payment data and the importance of electronic payment infrastructure for tourist activity.

show abstract

Cashless Payment in Tourism. An Application of Technology Acceptance Model

Cited by 11 publications

References 0 publications

UTAUT Determinants of Cashless Payment System Adoption in Thailand: A Hybrid SEM-Neural Network Approach

UTAUT Determinants of Cashless Payment System Adoption in Thailand: A Hybrid SEM-Neural Network Approach

Perilaku Penggunaan “Qris Bri Brimo” Pada Pedagang Sebagai Alat Transaksi Pembayaran Digital

Tourism seasonality management strategies – what can we learn from payment data

Contact Info

Product

Resources

About