• Journal of Digital Convergence
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• v.16 no.4
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• pp.137-147
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• 2018

The purpose of this study was to examine the influence of variables of TAM, user characteristics variables, and perceived risk variables on the intention to use mobile payment. Through the combination of characteristics of mobile payment, this study also investigated the effect of various independent variables on the intention to use mobile payment including the moderating effect of self-construal. To verify hypotheses of this study, the hierarchical regression analysis based on responses from 188 undergraduate and graduate students was conducted. The significant findings of this study were as follows: TAM variables, user characteristics variables and perceived risk variables had positive influence on the intention to use mobile payment. Self-construal was found to moderate the effect of the perceived usefulness, perceived ease of use and subjective norm. This study may provide important implications for both academicians and practitioners.

• Journal of Korea Game Society
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• v.18 no.3
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• pp.27-38
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• 2018

This paper is designed to propose the contents necessary for updating and developing future mobile RPG game developers through a usability evaluation of Users using In-App Payment Services at Lineage M. This paper conducted a usability assessment for quantitative assessment of users who use in-app payment services for mobile game 'Lineage M'. The tool for usability assessment was surveyed in a questionnaire designed based on 'The User Experience Honeycomb' defined by Peter Morville. These statistical results were then divided into lateral analyses. Through this, it is expected that game developers and planners will be able to find data to help develop new mobile RPG games.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.157-163
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• 2020

The purpose of this study is to explore the impact of Union-Pay mobile payments on user viscosity from the perspective of service quality and brand personality. In the future, it is meaningful for CUP to obtain a stable and loyal user group in China's mobile payment market. This study uses SPSS22.0 and AMOS statistical analysis tools to conduct empirical research. In this case, this study uses mobile service quality and The brand personality is the independent variable, and the user's viscosity is the dependent variable, which studies the impact on the user's viscosity in the context of China Union-Pay mobile payment. the study. According to the analysis results, the research goal: service quality has a significant positive correlation effect on user perceived value; service quality has a significant positive correlation effect on user viscosity; perceived value has significant positive correlation effect on user viscosity; brand personality to user Viscosity has a significant positive correlation effect; brand personality has a significant positive correlation effect on user perceived value. Through this research, we can make Suggestions on the industrial development of mobile payment enterprises and provide better opinions on the development of mobile payment.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.353-355
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• 2003

현재의 상거래는 지불 기술과 인증 기술을 갖춘 전자지불 시스템을 기반으로 언제. 어디서나 소비자의 요구을 만족시키는 U-Commerce로 이동중에 있다. 전자상거래가 거래공간을 전자공간으로 옮김으로써 신경제를 불러왔듯이 U-commerce는 물리공간과 전자공간을 통합하는 유비쿼터스 공간 경제를 보편화시킬 수 있다. 본 논문에서는 T-commerce와 M-commerce의 요구사항을 살펴보고. U-commerce을 위한 지불게이트활용방안을 제시한다.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.222-230
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• 2021

Mobile wallets have been in continuous demand and developed over the past few years, especially during the COVID-19 pandemic. Several studies have examined user intentions and perspectives. This study develops a conceptual model combining behavioral factors with the technology acceptance model (TAM). The goal is to identify key factors that influence user's intention to adopt mobile payments. This study uses the TAM and the unified theory of acceptance and use of technology (UTAUT) models with additional factors. The additional factors are security, trust, facilitating conditions, and lifestyle compatibility. The study analyzes the results of a survey of 394 Saudi citizens conducted via an online survey. The results indicate that user attitudes and intentions are positively influenced by all of the factors. Perceived usefulness, perceived ease of use, lifestyle compatibility, and facilitating conditions are direct predictors of user behavior in accepting mobile wallet payments. This study provides an empirical contribution to the literature on mobile payment acceptance on the effect of perceived usefulness and lifestyle compatibility. The results demonstrate that about 26% of the respondents started using mobile wallet services because of the COVID-19 pandemic.

• Convergence Security Journal
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• v.8 no.2
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• pp.1-6
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• 2008

Designing efficient and secure electronic payment is important for M-Commerce. In this paper, we propose an efficient Micro-payment protocol that allows multiple transactions using ID-based public key encryption-system. The proposed payword system requires to generate authenticated key generated by Weil-pairing which uses an elliptic curve cryptosystem over finite field Fq for transactions. Therefore, it is more secure in known key attacks as well as man-in-the middle attacks.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1028-1031
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• 2012

NFC 기능을 탑재한 스마트폰의 보급이 증가하고 점차적으로 NFC를 활성화하여 고객에게 편리함을 주려는 기업들이 늘어나고 있다. 하지만 기존의 NFC 기반 Payment System의 경우 사용자의 개인 정보를 부분적으로 암호화하지 않은 것과 내부 및 제 3자의 개인정보 유출, 그리고 개인정보를 무단활용을 대표적인 문제점으로 나타낼 수 있다. 뿐만 아니라 도난 및 분실의 위험으로 인한 피해가 있을 수 있다. 이러한 문제점들로 인하여 본 연구에서는 자체적인 NFC 보안에 사용자 어플리케이션 실행시 한 번의 개인정보 입력에 따른 암호화로써 NFC 단말기 간의 정보를 주고 받을 때 암호화를 할 수 있도록 구현하고자 한다. 이렇게 함으로써 NFC를 이용하여 결제를 하였을 시에 암호화 된 개인정보이기 때문에 외부의 공격자로부터 보안에 대한 위협을 줄일 수 있으며, 도난과 분실에도 개인정보가 식별되지 않기 때문에 보다 안정성을 높일 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1471-1483
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• 2023

One of the fastest-growing mobile services accessible today is mobile payments. For the safety of this service, the Near Field Communication (NFC) technology is used. However, NFC standard protocol has prioritized transmission rate over authentication feature due to the proximity of communicated devices. Unfortunately, an adversary can exploit this vulnerability with an antenna that can eavesdrop or alter the exchanged messages between NFC-enabled devices. Many researchers have proposed authentication methods for NFC connections to mitigate this challenge. However, the security and privacy of payment transactions remain insufficient. We offer a privacy-preserving, anonymity-based, safe, and efficient authentication protocol to protect users from tracking and replay attacks to guarantee secure transactions. To improve transaction security and, more importantly, to make our protocol lightweight while ensuring privacy, the proposed protocol employs a secure offline session key generation mechanism. Formal security verification is performed to assess the proposed protocol's security strength. When comparing the performance of current protocols, the suggested protocol outperforms the others.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.1-20
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• 2020

Purpose - This paper shows an unexplored area related to involuntary delisting. Specifically, this research investigates the effect of target firm information asymmetry on the likelihood that the acquirer or newly merged firm will be forcibly delisted post-merger. Design/methodology/approach - The research uses a sample gathered on local US mergers and acquisitions from the Thomson Reuters Securities Data Company (SDC) Platinum Mergers and Acquisitions database. It applies the logistic regression with industry and year effects and corrects the error term using clustering at the industry level. The research also matches the forced delisted firms to control firms based on industry, acquisition completion year, and firm size and then employs a matched sample analysis. Findings - Findings show that M&As between firms where the target firm is opaque and burdened with high information asymmetry issues are likely to be paid for using majority stock and that M&As involving such opaque targets also have a higher likelihood of getting delisted post-merger. Research implications or Originality - Our results are relevant given the very nature of M&As which involve two players: the acquirer and target who both may have different incentives. Acquirers especially have the tendency to suffer losses and even get delisted if they over-pay for or get merged to a poor target which conceals its poor performance evidenced by higher accruals quality.