What drives consumers to use P2P payment systems? An analytical approach based on the stimulus–organism–response (S-O-R) model
Ana Irimia-Diéguez,
Francisco Liébana-Cabanillas,
Antonio Blanco-Oliver and
Juan Lara-Rubio
European Journal of Management and Business Economics, 2023, vol. 34, issue 2, 149-173
Abstract:
Purpose - Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust. Design/methodology/approach - To achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems. Findings - The results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found. Originality/value - This research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology. 研究目的 - 以現金和銀行卡為基礎的傳統支付系統、正被嶄新而又富創意的模式取代。本研究擬分析驅使消費者使用Bizum的成功因素 (Bizum 是一個在西班牙得到廣泛使用的P2P移動支付系統) 。本研究以刺激-有機體-反應模型為基礎, 建議了一個概念框架;研究亦擬分析感知風險的調節作用, 以及感知信任的中介效應。 研究設計/方法/理念 - 為達研究目標, 研究人員處理了701名西班牙智慧型手機使用者回答的網上問卷, 這些使用者是本研究提出的P2P支付系統的潛在用戶。 研究結果 - 研究結果顯示、感知有用性是消費者會否使用P2P支付系統最重要的預測因素。研究結果亦顯示、本研究建議的概念框架的預測能力水平屬中等。 研究的原創性 - 本研究使我們對驅使消費者使用P2P支付系統的因素更全面地了解;研究也使企業可透過使用這技術, 為自己創造新的商機。
Keywords: P2P payment systems; Intention to use; S-O-R model; Perceived risk; P2P支付系統; 使用的打算; 刺激-有機體-反應模型; 感知風險 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejmbep:ejmbe-12-2022-0374
DOI: 10.1108/EJMBE-12-2022-0374
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