{"title":"The risk-risk trade-off (R2T) framework: Examining contact [cash] versus contactless [mobile] payment usage","authors":"Abhipsa Pal , Rahul Dé , H. Raghav Rao","doi":"10.1016/j.dss.2025.114495","DOIUrl":null,"url":null,"abstract":"<div><div>Although the diffusion of mobile payment technology has been historically governed by contextual events that trigger anxiety, accentuating either the risks of mobile payments or the risks of its conflicting alternative, cash, literature neglects the importance of examining the risks associated with the alternatives. To address this gap, we develop the risk-risk trade-off (R<sup>2</sup>T) framework, drawing from the theory of substitutes of hazardous substances, and examine how individuals make usage decisions by balancing two sets of risks – for mobile payments and cash, respectively. On one side, the framework weighs contactless [mobile payment] risks related to potential thefts and losses, heightened by the rise in cybercrime. Conversely, on the other side, it weighs the risks from its substitute, contact [cash] payment, carrying the health hazard of infectious disease transmission through contact, with this risk magnified during the global pandemic. To validate the model, we used survey responses from 1403 participants in India and triangulated the quantitative results using their qualitative comments. This study theoretically contributes to the mobile payment usage literature by moving beyond technology risks as the sole risks to be considered for usage decision-making and includes the analysis of risks of the technology's substitute, cash, as well. The framework can support analysis of users' decisions towards consciously choosing the technology against its alternatives, in various risky contexts.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"196 ","pages":"Article 114495"},"PeriodicalIF":6.7000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016792362500096X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Although the diffusion of mobile payment technology has been historically governed by contextual events that trigger anxiety, accentuating either the risks of mobile payments or the risks of its conflicting alternative, cash, literature neglects the importance of examining the risks associated with the alternatives. To address this gap, we develop the risk-risk trade-off (R2T) framework, drawing from the theory of substitutes of hazardous substances, and examine how individuals make usage decisions by balancing two sets of risks – for mobile payments and cash, respectively. On one side, the framework weighs contactless [mobile payment] risks related to potential thefts and losses, heightened by the rise in cybercrime. Conversely, on the other side, it weighs the risks from its substitute, contact [cash] payment, carrying the health hazard of infectious disease transmission through contact, with this risk magnified during the global pandemic. To validate the model, we used survey responses from 1403 participants in India and triangulated the quantitative results using their qualitative comments. This study theoretically contributes to the mobile payment usage literature by moving beyond technology risks as the sole risks to be considered for usage decision-making and includes the analysis of risks of the technology's substitute, cash, as well. The framework can support analysis of users' decisions towards consciously choosing the technology against its alternatives, in various risky contexts.
期刊介绍:
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).