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Exploring the determinants of the user experience in P2P payment systems in Spain: a text mining approach

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  • David Perea-Khalifi

    (University of Aveiro
    University of Seville)

  • Ana I. Irimia-Diéguez

    (University of Seville)

  • Pedro Palos-Sánchez

    (University of Seville)

Abstract

Purpose This study aims to identify which determinants are responsible for impacting the user experience of three peer-to-peer (P2P) payment services in the Spanish market. Design/methodology/approach A sample of all online reviews (n = 16,048) published in Google Play of three paytech apps—Bizum, Twyp, and Verse—was analyzed using text mining and sentiment analysis. Findings A holistic interpretation of the seed terms included in each aspect allowed to label them based on the preferences expressed by paytech app users in their reviews. Six latent aspects were identified: ease of use, usefulness, perceived value, performance expectancy, perceived quality, and user experience. In addition, the results of the analysis suggest a positivity bias in the online reviews of fintech P2P app users. Our results also show that online reviews of apps associated with banks or financial institutions, such as Bizum (to a greater extent) or Twyp, show more negative emotions, whereas independent apps (Verse) show more positive emotions. Moreover, the most critical users are those of unidentified gender, while women remain in a more neutral position, and men tend to express their opinions more positively regarding P2P payment apps. Practical implications Paytech providers should analyze the problems faced by users immediately after an encounter. By applying text mining analysis, service providers can gain efficiency in understanding user sentiments and emotions without tedious and time-consuming reviews. Originality/value This is a pioneering study on peer-to-peer (P2P) mobile payment systems from the user’s perspective because it investigates the emotions and sentiments that users convey through bank reviews.

Suggested Citation

  • David Perea-Khalifi & Ana I. Irimia-Diéguez & Pedro Palos-Sánchez, 2024. "Exploring the determinants of the user experience in P2P payment systems in Spain: a text mining approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    • Handle: RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-023-00496-0
    DOI: 10.1186/s40854-023-00496-0
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    as
    1. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    2. Janina Harasim, 2021. "FinTechs, BigTechs and Banks—When Cooperation and When Competition?," JRFM, MDPI, vol. 14(12), pages 1-16, December.
    3. Balakrishnan, Vimala & Shuib, Nor Liyana Mohd, 2021. "Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia," Technology in Society, Elsevier, vol. 65(C).
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Jose Ramon Saura & Pedro Palos-Sanchez & Miguel Angel Rios Martin, 2018. "Attitudes Expressed in Online Comments about Environmental Factors in the Tourism Sector: An Exploratory Study," IJERPH, MDPI, vol. 15(3), pages 1-20, March.
    6. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    7. Haukur Freyr Gylfason & Anita Hrund Sveinsdottir & Vaka Vésteinsdóttir & Rannveig Sigurvinsdottir, 2021. "Haters Gonna Hate, Trolls Gonna Troll: The Personality Profile of a Facebook Troll," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    8. Polasik, Michał & Huterska, Agnieszka & Iftikhar, Rehan & Mikula, Štěpán, 2020. "The impact of Payment Services Directive 2 on the PayTech sector development in Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 385-401.
    9. Choon-Ling Sia & Bernard C. Y. Tan & Kwok-Kee Wei, 2002. "Group Polarization and Computer-Mediated Communication: Effects of Communication Cues, Social Presence, and Anonymity," Information Systems Research, INFORMS, vol. 13(1), pages 70-90, March.
    10. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    11. Key Pousttchi & Maik Dehnert, 2018. "Exploring the digitalization impact on consumer decision-making in retail banking," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 265-286, August.
    12. Roger L Burritt & Stephen Welch, 1997. "Accountability for environmental performance of the Australian Commonwealth public sector," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 10(4), pages 532-561, October.
    13. Roya Gholami & Augustine Ogun & Elizabeth Koh & John Lim, 2010. "Factors Affecting e-Payment Adoption in Nigeria," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 8(4), pages 51-67, October.
    14. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    15. Joanna Błach & Monika Klimontowicz, 2021. "The Determinants of PayTech’s Success in the Mobile Payment Market—The Case of BLIK," JRFM, MDPI, vol. 14(9), pages 1-23, September.
    16. Kalinic, Zoran & Marinkovic, Veljko & Molinillo, Sebastián & Liébana-Cabanillas, Francisco, 2019. "A multi-analytical approach to peer-to-peer mobile payment acceptance prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 143-153.
    17. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    18. Chhatwani, Malvika & Mishra, Sushanta Kumar, 2021. "Financial fragility and financial optimism linkage during COVID-19: Does financial literacy matter?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    19. A. Irimia-Diéguez & F. Velicia-Martín & M. Aguayo-Camacho, 2023. "Predicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    20. Hartmann, Monika & Gijsel, Lola Hernandez-van & Plooij, Mirjam & Vandeweyer, Quentin, 2019. "Are instant payments becoming the new normal? A comparative study," Occasional Paper Series 229, European Central Bank.
    21. Liao, Shu-Hsien & Yang, Ling-Ling, 2020. "Mobile payment and online to offline retail business models," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    22. Li-Chen Cheng & Wei-Ting Lu & Benjamin Yeo, 2023. "Predicting abnormal trading behavior from internet rumor propagation: a machine learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    23. Li, Gang & Law, Rob & Vu, Huy Quan & Rong, Jia & Zhao, Xinyuan (Roy), 2015. "Identifying emerging hotel preferences using Emerging Pattern Mining technique," Tourism Management, Elsevier, vol. 46(C), pages 311-321.
    24. Jacobsen, Ben & Lee, John B. & Marquering, Wessel & Zhang, Cherry Y., 2014. "Gender differences in optimism and asset allocation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 630-651.
    25. Daniel Broby, 2021. "Financial technology and the future of banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    26. Bonsón, Enrique & Bednárová, Michaela & Perea, David, 2023. "Disclosures about algorithmic decision making in the corporate reports of Western European companies," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    27. Enrique Bonson & David Perea & Graca Azevedo, 2021. "Tone and content analysis in the president’s letters to shareholders: Spanish evidence," Upravlenets, Ural State University of Economics, vol. 12(1), pages 78-90, March.
    28. Perrons, Robert K. & McAuley, Derek, 2015. "The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector," Resources Policy, Elsevier, vol. 46(P2), pages 234-238.
    29. Bo Li & Zeshui Xu, 2021. "Insights into financial technology (FinTech): a bibliometric and visual study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    30. Clemes, Michael D. & Gan, Christopher & Zhang, Junli, 2014. "An empirical analysis of online shopping adoption in Beijing, China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 364-375.
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