From Fitness Tracking to Augmented Shopping Experience: Perceptions and Use of Mobile Payment among Runners Using Wearable Devices

Year 2021, Volume: 23 Issue: 1, 15 - 23, 15.05.2021

Özlem Özdinç

Abstract

Regularly exercising users of sports wearables (e.g., smartwatches) comprise an overlooked group in the literature on mobile payment despite their frequent use of such high-tech devices that allow making mobile payments. Payment-capable wearables could lead to a more health-conscious shopping experience through push notifications that make customised suggestions―say, for fluid/food intake based on dehydration/calories burnt, since they track exercise (e.g., steps), health (e.g., pulse), and well-being data (e.g., sleep cycles). Accordingly, this study aims to explore the perceptions and use of mobile payment technology among a sample of runners, who track their exercise metrics using sports wearables. A typical runner that we captured data from was an educated, employed, and adult female user of high-tech sports wearables, who makes nearly 9 kilometres on each of her four runs in a week, but taps her smartphone―not her wearable―to make payments for necessity goods (e.g., food, apparel) and services (e.g., bills, bookings) through either Alipay or Apple Pay. Mobile payment was among the top three preferred methods of payments; however, only 4% were using their wearable device for that purpose. Runners’ had a positive perception of the mobile payment technology, which was homogeneous across the categories of their socio-demographic characteristics and exercise metrics. These results indicate that mobile payment use on a smartphone is common among the physically active, but the convergence of that technology with high-tech wearable devices is yet to find acceptance.

Keywords

High-tech sports wearables, Health-conscious shopping, Mobile payment, Perceptions and use, Runners

References

• Shankar V, Kleijnen M, Ramanathan S, Rizley R, Holland S, Morrissey S. Mobile shopper marketing: key issues, current insights, and future research avenues. Journal of Interactive Marketing. 2016; 34: 37-48.
• Wu J, Liu L, Huang L. Consumer acceptance of mobile payment across time: antecedents and moderating role of diffusion stages. Industrial Management & Data Systems. 2017; 117(8): 1761-1776.
• Kim C, Mirusmonow M, Lee I. An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior. 2010; 26(3): 310-322.
• Wei TT, Marthandan G, Chong AY, Ooi K-B, Arumugam S. What drives Malaysian m‐commerce adoption? an empirical analysis. Industrial Management & Data Systems. 2009; 109(3): 370-388.
• Nysveen H, Pedersen PE, Thorbjørnsen H. Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of the Marketing Science. 2005; 33(3): 330-346.
• Dewan SG, Chen L. Mobile payment adoption in the US: a cross-industry, cross-platform solution. Journal of Information Privacy and Security. 2005; 1(2): 4-28.
• Yang Y, Liu Y, Li H, Yu B. Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems. 2015; 115(2): 253-269.
• Wurster A. Mobile payment-risk of a new technology. FAIMA Business & Management Journal. 2014; 2(3): 14-23.
• Oliveria T, Thomas M, Baptista G, Campos F. Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior. 2016; 61: 404-414.
• MacDonald J, Smith D. [Internet]. Fashion Meets Mobile Payments in the Dressing Room of the Future [cited 2020 Apr 23]. Available from https://www.creditcards.com/credit-card-news/dressing-room-of-the-future-marie-claire-mastercard.php
• Ghezzi A, Renga F, Balocco R, Pescotto P. Mobile payment applications: offer state of the art in the Italian market. Info. 2010; 12(5): 3-22.
• Dahlberg T, Oorni A. Understanding changes in consumer payment habits: do mobile payments and electronic invoices attract consumers? In: 40th Annual Hawaii International Conference on System Sciences (HICSS'07). Waikoloa, HI; 2017. p. 50-50.
• To W-M, Lai LL. Mobile banking and payment in China. IT Professional. 2014; 16(3): 22-27.
• Cheng Y-H, Huang T-Y. High speed rail passengers’ mobile ticketing adoption. Transportation Research Part C: Emerging Technologies. 2013; 30: 143-160.
• Di Pietro L, Mugion GR, Mattia G, Renzi FM, Toni M. The integrated model on mobile payment acceptance (IMMPA): an empirical application to public transport. Transportation Research Part C. 2015; 56: 463-479.
• Ondrus J, Pigneur Y. A multi-stakeholder multi-criteria assessment framework of mobile payments: an illustration with the Swiss public transportation industry. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06). Kauia, HI; 2006. p. 42a-42a.
• Sharo, T. Self-tracking for health and the quantified self: re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philosophy & Technology. 2017; 30: 93-121.
• Zhou T. Understanding the determinants of mobile payment continuance usage. Industrial Management & Data Systems. 2014; 114(6): 936-948.
• Field A. Discovering Statistics Using SPSS (3rd ed.). London: Sage; 2009.
• Sheskin DJ. Handbook of Parametric and Nonparametric Statistical Procedures (5th ed.). Boca Raton, FL: CRC Press; 2011.
• Chan FT, Chong AY-L. Analysis of the determinants of consumers'm-commerce usage activities. Online Information Review. 2013; 37(3): 443-461.
• Chong AY-L. Mobile commerce usage activities: the roles of demographic and motivation variables. Technology Forecasting and Social Change. 2013; 80(7): 1350-1359.
• Huh YE, Kim S-H. Do early adopters upgrade early? role of post-adoption behavior in the purchase of next-generation products. Journal of Business Research. 2008; 61(1): 40-46.
• Leung L, Chen C. Extending the theory of planned behavior: a study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV. Telematics and Informatics. 2017; 34(8): 1638-1649.
• Liébana-Cabanillas F, Sánchez-Fernández J, Muñoz-Leiva F. Role of gender on acceptance of mobile payment. Industrial Management & Data Systems. 2014; 114(2): 220-240.
• Hausman AV, Siekpe JS. The effect of web interface features on consumer online purchase intentions. Journal of Business Research. 2009; 62(1): 5-13.
• Guo YM, Klein BD. Beyond the test of the four channel model of flow in the context of online shopping. Communications of the Association for Information Systems. 2009; 24(1): 837-856.
• Guo YM, Poole MS. Antecedents of flow in online shopping: a test of alternative models. Information Systems Journal. 2009; 19(4): 369-390.
• Yang S, Lu Y, Gupta S, Cao Y, Zhang R. Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior. 2012; 28(1): 129-142.
• Yang L-M, Shan L, Wu Y-N. The prediction analysis of payment way preference's influence on traditional financial industry. Journal of Guizhou College of Finance and Economics. 2016; 4: 57-68.