1. Introduction
There are various kinds of developments in information technology, one of which is in the field of economics. An example of economic development that has occurred is the development of information technology that facilitates innovation in the payment system, namely, the emergence of non-cash transactions. This type of transaction does not use physical money anymore when trading goods or services (Chaveesuk et al., 2019). This new technology allows mobile users today to use their smartphones to make money transactions or payments using applications installed on the phone (Saraswat & Mehta, 2017). The transformation of electronic payment transactions consists of several models, including electronic payment cards, digital wallets, and using electronic money featured as means of payment through devices either in restaurants, supermarkets, or other payment places (O, 2018). In practice, cashless transactions are faster, relative easier, and safer because there is no need to carry a lot of cash, and this cashless method can be said to be more transparent because transactions that occur while using cashless will be automatically recorded by the system so that they can be easily tracked (Ramya et al., 2017). The successful acceptance of technology by the community in terms of the use of non-cash transactions can be measured by the development of Technology Acceptance Model (TAM) that is an information system theory that contains the decision-making process whether a technology can be accepted or not accepted by users, and also as a consideration for applying new technology (Folkinshteyn & Lennon, 2016).
This study is different from previous research. Planned behavior theory has been used to measure gender differences in payment transactions using electronic money (Farida et al., 2016). There is research that measures how acceptance of a technology without differentiating from a gender perspective (Subawa & Mimaki, 2019; Farida et al., 2016; Maqbool Ahmad, 2018; Wulandari & Sumadi, 2020). In this research, the author intends to combine the two research topics by using TAM in measuring differences in gender perceptions in adopting cashless by looking at perceived usefulness, perceived ease-of-use, as well as perceived security to measure the acceptance of technology in undergraduate students using cashless transactions. The purpose of this research is to develop a Technology Acceptance Model to find out the differences of gender perception in adopting cashless transactions.
2. Literature Review and Hypothesis Development
2.1. Technology Acceptance Model (TAM)
In this study, a technology acceptance model (TAM) is used, which states that users tend to use a system when the system is easy to use and useful for them (He et al., 2018). TAM is the result of the development of the Theory of Reasoning Action (TRA), which functions to evaluate the acceptance of user technology, measured based on intention and its effect on attitudes, perceived usefulness, perceived ease-of-use on intention to use (Ofori & Appiah-Nimo, 2019). TAM explains that information systems can improve organizational performance, and makes it easier for users to complete one’s work (Tarhini et al., 2017). Many companies are adopting and using information technology, so that researchers can examine any topic that can predicts the perception of information technology. TAM is one model that can be used to investigate this area. TAM focuses on the characteristics of the use of information technology by users as seen from the level of convenience and benefits of technology (Maqbool Ahmad, 2018). Furthermore, one of the studies on the use of the Technology Acceptance Model (TAM) is applied to batik and textile craftsmen via smartphone devices (Wismantoro et al., 2020). The application of the technology acceptance model is also carried out on students as a framework for actual prediction, which shows positive results on perceptions and is useful for policymakers (Aljaaidi et al., 2020). The same research was conducted by Martono et al. (2020), with a technology acceptance model framework that shows the results of a positive influence on respondents’ perceptions. Likewise, the technology acceptance model conceptual framework integrates market perceptions, technology procurement and economies of scale in business development efforts. This affects the manager’s intention to use core banking further (Wibowo et al., 2020).
2.2. Perceived ease-of-use (PEOU) and cashless transactions
PEOU is a way to know the extent to which someone believes that using a technology will be very easy and not feel overwhelmed. Ease-of-use perception is part of the TAM factor, which is an unobserved variable that requires a manifest variable in its measurement. Research shows that there is no significant effect of perceived ease-of-use on the use of e-money (Filona & Misdiyono, 2019). Other research indicates that there is a positive and significant effect of perceived ease-of-use on the intention to use a mobile wallet (Jin et al., 2020) Based on differences in previous research results, the following hypothesis is proposed:
H1: Perceived ease-of-use will increase the use of cashless transactions.
2.3. Perceived usefulness (PU) and cashless transactions
PU is defined as a subjective probability that technology can entice consumers to achieve their goals. Liébana-Cabanillas et al. (2017) shows that perceived usefulness can increase consumer use of the non-cash payment system. The benefits that are felt when using a payment system can increase one’s intention to use a system. Filona and Misdiyono (2019) indicate that there is no significant effect of perceived usefulness on intention to use e-money. Jin et al. (2020) show that there is a positive and significant influence in accepting a mobile wallet. Based on these, this research presents the hypothesis as follows:
H2: Perceived usefulness will increase the use of cash less transactions.
2.4. Perceived security and cashless transactions
In information technology, perceived security is often used by researchers to measure the adoption of a technology. According to Zhang and Luximon (2020), perceived security was defined as a measure of a person’s sense of security in accessing or providing sensitive information on a web. Over the years, businesses always collected customer information as data for the company, so a business is familiar with the data privacy of their customers. Even though technological sophistication has increased, there are still privacy issues (Damghanian et al., 2016). In this study, the model developed is the technology acceptance model (TAM) and adds the perceived security that has also been raised by Liébana-Cabanillas et al. (2017). The results in this study are that perceived security affects the intention to use mobile payments, so the higher the level of security provided for the use of mobile payments, the higher one’s intention to use this type of payment. Thus, this research purposes the following hypothesis:
H3: Perceived security will increase the use of cashless transactions.
2.5. Cashless Transaction
Payment systems play an important role in a country’s economy. If the payment system does not run properly and is problematic, it will damage the stability of a country’s economy (Filona & Misdiyono, 2019). The instrument of the payment system itself is a means of payment that can be divided into cash and cashless. Before the presence of Internet technology people initially used cash payment tools that used physical money in the form of banknotes and coins (Jun et al., 2018). Then, when there is a rapid technological development, people start using payment tools on a non-cash way by not using money physically, just by carrying a card or mobile phone. Technological developments also stimulate the transformation of money to create efficient transactions.
Figure 1 shows the effect of the four variables, namely, perceived ease-of-use (X1), perceived usefulness (X2), and perceived security (X3) as independent variables, and cashless transaction as the dependent variable (Y), which are then incorporated into three hypotheses, namely, the perceived ease-of-use positively affects the use of cashless transactions, the second is perceived usefulness positively affects the use of cashless transactions, and the third is perceived security positively affects the use of cashless transactions.
Figure 1: Conceptual Framework
3. Research Methodology
3.1. Sample and Population
The population in this study is students in Denpasar, a place chose because Denpasar is the capital of Bali where many traders provide cashless transactions compared to other cities. The size of populations in this study is unknown so that stratified random sampling is considered suitable for use as a sampling techniques. Stratified random sampling is used when the population is divided into levels, for example, the characteristics of educational levels for male and female students (Aydin, 2016). Stratified sampling uses certain criteria to achieve the purpose of research. Sample criteria required are students are undergraduates in Denpasar, aged 18 to 25, and regularly use cashless transactions. The sample used in this study amounted to 260 students, 130 male and 130 female.
3.2. Data Collection Method and Technique Analysis
This study will be conducted in the university located in Denpasar City. Research data is obtained through surveys. The survey was conducted by distributing questionnaires to respondents. And the type of data used is primary data. Primary data is defined as data obtained directly from the first source on a research object. A questionnaire was distributed to the 260 students in Denpasar that use cashless transactions. The process of distributing questionnaires was carried out online using Google Docs application, which then links to the questionnaire distributed via social media accounts to respondents according to the sample criteria that have been determined. The questionnaire distributed to respondents used a 10-point Likert scale as data measurement method. Reliability and validity tests were used to verify the suitability of the measurement scale, namely, the confirmatory factor analysis method. Confirmatory factor analysis is a statistical method used to describe the variability between variables, which can potentially be grouped into factors. The data analysis technique used is SEM (Structural Equation Modeling); one of the suitable software for SEM analysis is the Amos software.
4. Result and Discussion
4.1. Reliability and Validity
The validity test in this study used the loading factor and average variance (AVE). It can be said that it is valid if the loading factor andAVE are not < 0.5. Then, we test the reliability using composite reliability (CR), and for the requirements the value must be > 0.6. Table 1 presents the results of the loading factor, AVE, and CR of the two sample groups that have met the criteria for both male and female samples. So, the measuring instrument in this study is said to be valid and reliable.
Table 1: Result of Reliability and Validity test
This study also calculates the fit model, which is the suitability of the research data and the resulting model. Table 2 shows the fit model for both male and female respondents. For male respondents the results of the fit model obtained are in accordance with the specified value, which is above 0.90, whereas for female respondents, the results obtained are average, but still acceptable.
Table 2: Fit Model
4.2. Hypothesis Tests
Hypothesis test is divided into the first stage testing using a sample of male respondents, and the second stage using a sample of female respondents. Table 3 showed the result of hypothesis testing, which then will be interpreted in the discussion section.
Table 3: The hypothesis testing result
Figure 2 shows the results of the analysis using SEM for male samples. Hypothesis 1 states that the perceived ease-of-use affects the increasing use of cashless transaction by students; after calculating the data collected, the perceived ease-of-use did not effect the increasing use of cashless transactions (β = −0.08; P = 0.642). So, hypothesis 1 is rejected. Then, hypothesis 2 states that perceived usefulness can increase the use of cashless transactions among students; the results of data processing show that perceived usefulness can indeed increase the use of cashless transactions among students (β = 0.47; P < 0.05), hence, hypothesis 2 is accepted. Lastly, hypothesis 3 states that perceived security can increase the use of cashless transactions among students; according to the data obtained, the result show that indeed perceived security can increase the use of cashless transactions (β = 0.64; P <0.05), so, hypothesis 3 is accepted.
Figure 2: Model of male sample
Figure 3 shows the results of the analysis using SEM for female samples. Hypothesis 1 states that perceived ease-of-use affects the increasing use of cashless transaction by students, after calculating the data collected, the perceived ease-of-use does affect the increasing use of cashless transactions (β = 0.35; P < 0.05), thus, hypothesis 1 is accepted. Then, hypothesis 2 states that perceived usefulness can increase the use of cashless transactions among students; the results of data processing show that perceived usefulness does not increase the use of cashless transactions among student (β = 0.09; P = 0.801), so, hypothesis 2 is rejected. Lastly, hypothesis 3 states that perceived security can increase the use of cashless transactions among students; according to the data obtained, the result show that perceived security does not increase the use of cashless transactions (β = 0.60 P = 0.130), so, hypothesis 3 is rejected.
4.3. Discussion
Cashless transactions are the result of developing information technology. One of the reasons for the development of this technology is, according to Farida et al. (2016), that people prefer a system that is more practical to achieve their goals; for example, when making transactions people do not need to carry a lot of cash, they only need to bring a smartphone or card. In this study, there were differences in results between male and female students. The first thing is perceived ease-of-use. For male students, the perceived ease-of-use did not affect the increasing use of cashless transactions in student. For female students, the perceived ease-of-use affects the increasing use of cashless transactions positively and significant. Based on the results, it can be said that female students really feel the convenience when making cashless transactions; the easier the cashless transaction process is, the higher the use by female students. Male students do not seem concerned with the perceived convenience or this could be because male students use cashless less often, so they do not delve into the features that exist in cashless transactions.
Figure 3: Model of female sample
Perceived usefulness represents acceptance of technology in terms of the benefits it provides. The results of this study show differences between male and female students. For male students, perceived usefulness significantly affected the use of cashless transaction in a positive way. For female students, perceived usefulness affects the use of cashless transaction positively, but not significant. This is happening because when using cashless transactions, both male and female students really feel the benefits provided by using cashless; the higher the benefits obtained, the higher the use of these cashless transactions (Subawa et al., 2020).
Perceived security represents acceptance of technology in terms of the level of security obtained when using cashless transactions. The study shows differences between male and female students. For male students, perceived security positively affects the use of cashless transaction and the effect is significant. For female students, perceived security positively affects the use of cashless transaction, but the effect is not significant. This is happening because when using cashless transactions, both male and female students think about security of cashless use; the higher the security level of cashless transactions, the higher the increasing level of cashless users.
5. Conclusion
Cashless transactions can provide various benefits in everyday life, which are very efficient and effective in use. There have been many people who have felt the convenience, benefits, and security of this cashless, but everyone is different in interpreting things. One of the theories that can be used is technology acceptance model (TAM), which is the information technology model by developing the ease-of-use and the usefulness of technology. The difference presented in this study is the difference in gender between undergraduate students. There are differences in the three hypotheses: (1) for male students, perceived ease-of-use does not increase the use of cashless transaction; for female students, perceived ease-of-use significantly affects the use of cashless transaction positively; (2) for male students, perceived usefulness significantly affected the use of cashless transaction in a positive way; for female students, perceived usefulness positively affects the using of cashless transaction, but not significantly; (3) for male students, perceived security positively affects the use of cashless transaction and the effect is significant; for female students, perceived security positively affects the use of cashless transaction, but the effect not significant. This difference proves that a person’s attitude in accepting or rejecting a technology is not the same and depends on that person’s needs.
6. Limitation and Future Research
This study has limitations that open up opportunities for further investigation. This research is a development of the TAM model, which can affect the level of interest in using a new system. However, in this study, the theory and conditions in the field are not yet fully compatible. But research on the development of the payment system is interesting to discuss, and there will be many developments in the coming years. For future research on this topic should ensure that the respondent really fits the predetermined criteria, namely, they use cashless as often as possible, and it is better to use the interview method first.
References
- Aljaaidi, K. S., Bagais, O. A., & Sharma, R. B. (2020) Factors Influencing Usage of University Mobile Application Among University Students. Journal of Asian Finance, Economics and Business, 7(10), 1129-1136. https://doi.org/10.13106/jafeb.2020.vol7.no10.1129
- Aydin, G. (2016). Adoption of mobile payment systems: a study on mobile wallets. Pressacademia, 5(1), 73-73. https://doi.org/10.17261/pressacademia.2016116555
- Chaveesuk, S., Vanitchatchavan, P., Wutthirong, P., Nakwari, P., Jaikua, M., & Chaiyasoonthorn, W. (2019). The acceptance model toward cashless society in Thailand. ACM International Conference Proceeding Series, 190-195. https://doi.org/10.1145/3357419.3357457
- Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran. Journal of Internet Commerce, 15(3), 214-238. https://doi.org/10.1080/15332861.2016.1191052
- Farida, N., Ardyan, E., & Nuryakin, N. (2016). Gender differences in interest in using electronic money: An application of theory planned behavior. International Review of Management and Marketing, 6(4), 898-903.
- Filona, & Misdiyono. (2019). Factors Affecting the Adoption of Electronic Money Using Technology Acceptance Model and Theory of Planned Behavior. Journal of Business Economics, 24(1), 100-113. https://doi.org/10.35760/eb.2019.v24i1.1858
- Folkinshteyn, D., & Lennon, M. (2016). Braving Bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220-249. https://doi.org/10.1080/15228053.2016.1275242
- He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy. Cogent Business and Management, 5(1). https://doi.org/10.1080/23311975.2018.1459006
- Jin, C. C., Seong, L. C., & Khin, A. A. (2020). Consumers' Behavioural Intention to Accept of the Mobile Wallet in Malaysia. Journal of Southwest Jiaotong University, 55(1), 1-13. https://doi.org/10.35741/issn.0258-2724.55.1.3
- Jun, J., Cho, I., & Park, H. (2018). Factors influencing continued use of mobile easy payment service: an empirical investigation. Total Quality Management and Business Excellence, 29(9-10), 1043-1057. https://doi.org/10.1080/14783363.2018.1486550
- Liebana-Cabanillas, F., de Luna, I. R., & Montoro-Riosa, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istrazivanja , 30(1), 892-910. https://doi.org/10.1080/1331677X.2017.1305784
- Maqbool Ahmad. (2018). Review of the technology acceptance model (TAM) in internet banking and mobile banking. International Journal of Information Communication Technology and Digital Convergence, 3(1), 23-41. https://doi.org/10.22966/IJICTDC.2018.3.1.23
- Martono, S., Nurkhin, A., Mukhibad, H., Anisykurlillah, I., & Wolor, C.W. (2020) Understanding the Employee's Intention to Use Information System: Technology Acceptance Model and Information System Success Model Approach. Journal of Asian Finance, Economics and Business, 7(10), 1007-1013. https://doi.org/10.13106/jafeb.2020.vol7.no10.1007
- O., G. S. (2018). The Influence of Debit Card, Credit Card, and E-Money Transactions Toward Currency Demand in Indonesia. Society, 1(2), 14-18. https://movisa.org.mx/images/NoBS_Report.pdf
- Ofori, D., & Appiah-Nimo, C. (2019). Determinants of online shopping among tertiary students in Ghana: An extended technology acceptance model. Cogent Business and Management, 6(1). https://doi.org/10.1080/23311975.2019.1644715
- Ramya, N., Sivasakthi, D., & Nandhini, M. (2017). Cashless Transaction: Modes , Advantages and Disadvantages. International Journal of Applied Research, 3(1), 122-125. www.allresearchjournal.com
- Saraswat, D. S., & Mehta, D. M. (2017). Cashless Transactions : Challenges Faced by the Consumers. International Journal of Research Culture Society, 228-236.
- Subawa, N.S. & Mimaki, C.A. (2019) E-Marketplace Acceptance of MSMEs in bali based on performance expectancy and task technology fit. ACM International Conference Proceeding Series, pp. 157-160.
- Subawa, N.S., Widhiasthini, N.W. and Permatasari, N.P.I. (2020) 'Local brand franchise competition in the disruption era', Int. J. Productivity and Quality Management, Vol. 31, No. 4, pp.445-460. https://doi.org/10.1504/IJPQM.2020.111700
- Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users' acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, 25(3), 306-328. https://doi.org/10.1080/10494820.2015.1122635
- Wibowo, K. A., Ismail, A. G., Tohirin, A., & Sriyana, J. (2020). Factors Determining Intention to Use Banking Technology in Indonesian Islamic Microfinance. Journal of Asian Finance, Economics and Business, 7(12), 1053-1064. https://doi.org/10.13106/jafeb.2020.vol7.no12.1053
- Wismantoro, Y., Himawan, H., & Widiyatmoko, K. (2020). Measuring the Interest of Smartphone Usage by Using Technology Acceptance Model Approach. Journal of Asian Finance, Economics and Business, 7(9), 613-620. https://doi.org/10.13106/jafeb.2020.vol7.no9.613
- Wulandari, I. R., & Sumadi, S. (2020). Analysis of Behavior Using E-Money With a Tam Approach (Technology Acceptance Model). Manajemen Bisnis, 10(1), 24. https://doi.org/10.22219/jmb.v10i1.10861
- Zhang, J., & Luximon, Y. (2020). A quantitative diary study of perceptions of security in mobile payment transactions. Behaviour and Information Technology, 0(0), 1-24. https://doi.org/10.1080/0144929X.2020.1771418