2016
DOI: 10.5296/ifb.v3i1.8802
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Analysis of the Use of Electronic Money in Efforts to Support the Less Cash Society

Abstract: Technological developments have had an impact on all aspects of life including changes to existing payment systems. Electronic money (E-Money) is a non cash payment instrument in addition to credit cards and debit cards. E-money offers advantages over debit cards and credit cards that give the ease, speed, and efficiency. The issue discussed in this research covers the intensity of the use of e-money, the volume of transactions, preferences, and perceptions about the use of e-money at the Faculty of Economics,… Show more

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Cited by 35 publications
(28 citation statements)
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“…Studies related to a cashless society and/or e-money in Indonesia has been conducted by some researchers, for example, Wulandari et al (2016) and Trinugroho et al (2017), but these studies have rarely examined why a person is or is not using e-money. Bearing in mind these phenomena, it is necessary to know what factors influence the intention of an individual to use electronic money.…”
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confidence: 99%
“…Studies related to a cashless society and/or e-money in Indonesia has been conducted by some researchers, for example, Wulandari et al (2016) and Trinugroho et al (2017), but these studies have rarely examined why a person is or is not using e-money. Bearing in mind these phenomena, it is necessary to know what factors influence the intention of an individual to use electronic money.…”
mentioning
confidence: 99%
“…The electronic balance from the deposit / exchange of waste can be used as a non-cash payment instrument. E-money offers advantages that give the ease, speed, and efficiency [11]. Balances can be withdrawn into a personal account or transact easily and safely without cash.…”
Section: ) Business Model Canvasmentioning
confidence: 99%
“…The implementation of web services is to manage and persistent storage of information objects, one of the assets is to avoid duplicate function and tools. This may happen by embedded functions or by calling the services through an API [11].…”
Section: ) Proposed Soa Architecturementioning
confidence: 99%
“…Nov -17 689 030 755 101 26 983 117 24 511 453 Dec-17 634 133 691 786 28 590 026 26 535 800 Jan-18 722 614 799 011 28 251 742 25 358 875 Feb-18 627 616 687 698 24 484 745 20 976 292 Mar-18 688 089 755 287 27 289 443 24 795 500 Apr-18 704 942 762 650 27 633 702 24 911 444 May-18 685 988 762 166 28 614 387 26 274 813 Jun-18 525 552 622 266 27 141 547 24 780 132 Jul-18 674 980 756 224 27 639 954 25 981 547 Aug-18 691 425 766 165 26 890 389 25 405 Many studies on credit cards have been conducted, such as that of Prabheesh and Rahman (2019), who analysed the macroeconomic aspect. In addition, Junadi and Sfenrianto (2015) and Wulandari et al (2016) discussed behaviour in the use of e-payment systems in Indonesia, including credit cards. A little bit late, Sari and Rofaida (2011) focused on the behaviour of university students towards the use of credit cards and default debt risk behaviour.…”
Section: Nominal (Million Rupiah)mentioning
confidence: 99%