QR code m-payment from a customer experience perspective

Abstract

This study aimed to examine the effect of the quality dimensions of information system success model (ISSM), perceived risk, perceived transaction speed, and optimistic perspective on Quick Response (QR) code mobile payment (m-payment) experience. For this purpose, a survey was conducted in Turkey involving 207 adults who had experienced the QR code m-payment method. Partial least squares structural equation modeling (PLS-SEM) was used to investigate the relations between the variables. Research results showed that information quality, system quality, perceived transaction speed, and optimism significantly affected customer experience. However, service quality and perceived risk regarding QR code m-payment had no impact on customer experience. This study tried to reveal behavioral intentions of users in future by bringing together the concepts of ISSM and marketing, examining the QR code m-payment customer experience in the pandemic period with an integrative approach. In this context, the research has theoretical implications that extend ISSM toward improving technology-based financial services and omnichannel marketing.

QR Codes: From a Survey of the State of the Art to Executable eQR Codes for the Internet of Things

“…Description Anti-counterfeiting [10] Implement and improve the quality of an anti-counterfeiting system through the use of QR codes Augmented reality [11] QR codes for the personalization of objects displayed by virtual reality Automatic config. [12] QR codes used to auto-configure Industrial Internet of Things sensor networks Fast reading [13] Mobile application that allows reading densely placed QR codes Identification [14] QR codes and robotic arms to automatically manage books in a library Localization [15] QR codes used to improve the localization of mobile robots [16] Use of QR codes placed in specific points to track the position of a person [17] Use and placement of QR codes to enable navigation in indoor environments Maintainance [18] QR codes are used to perform predictive maintenance and self-calibration of a robotic arm Healthcare [19] Embedding of an ECG signal within a QR code [20] Use of QR codes for authenticating medical images in a blockchain framework context Payment [21] Improving security when QR codes are used for payment [22] How the use of QR codes for mobile payments is perceived by users [23] Use of QR codes to manage E-Wallets Recycling [24] Use of QR codes to manage radioactive waste [25] Combined use of QR codes and blockchains to build a recycling platform Safety [26] Management of construction safety through QR codes Security [27] Embed a secret within the QR code [28] Manage encryption and decryption through watermarking in medical applications [29] A comprehensive study about QR code applications from the point of view of security and privacy Teaching [30] Integration of QR codes in teaching material and in classrooms to improve the quality of education [31] Integrate QR codes and text to improve the learning of English as a foreign language Traceability [32] Use of blockchains, explainable artificial intelligence, and QR codes for food traceability [33] A review on the possibility of embedding information on manufactured parts [34] Use of traceability to track vegetable supply chain Tourism [35] QR codes for exploring mount Etna (volcano) (e.g., printed on posters or stickers, possibly with additional information) is trans...…”

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“…An analysis of the content of the articles led to a few conclusions: the subject of QR codes does not have a satisfactory empirical representation, the available articles, for the most part, residually present the issue of QR codes in the field of marketing, and the authors use only a limited armory of research methods, limited to minor extensions of existing work. It is evident that the topic of QR codes is at an early stage of development, clearly subject to the influence of pandemic habits related to fear of contagion (contactless m-payments, contactless checking of product information in the store) (Eren, 2024;Hamzah, 2023;Suo et al, 2022). Modelling of structural equations by the partial least squares method (PLS-SEM).…”

Acceptance Factors Affecting the Intention to Use Mobile Payments: QR Code Applications

“…Habit has a significant impact because most people in Jabodetabek are today exposed to mobile phones and the internet almost frequently, especially generations Y and Z, who help people become accustomed to and create the habit of utilizing modern technologies like mobile banking and digital wallets (Amarullah et al, 2021). Sharif and Raza (2017) Eren (2022) mentioned that even while it is possible that the epidemic period hastened the experience of using a QR code for mobile payments, it's anticipated that after the pandemic, people's payment H will have stabilized, and this is the reason why the researchers choose H as one of the study variables.…”