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題名 Cashless Japan: Unlocking Influential Risk on Mobile Payment Service 作者 陳立民
Chen, Li-Ming
Chang, Wei-Lun
Hashimoto, Takako貢獻者 企管系 關鍵詞 Mobile payment;Perceived risk;Decision trees;Cashless 日期 2021-06 上傳時間 11-Apr-2022 13:44:44 (UTC+8) 摘要 In Japan, cashless is not yet popular but government and companies are devoted to the development of mobile payment methods. This research collected 241 Japanese users and applied decision trees algorithm. Six types of perceived risks (financial, privacy, performance, psychological, security, and time) were used and the categorized class is intention to use mobile payment (low, medium, and high). We also compared different competitive models to examine the performance, including decision trees, kNN, Naïve Bayes, SVM, and logistic regression and decision trees outperformed among all models. The findings indicated that privacy and performance risks are import to Japanese users. Safe, secured, reliable, and fast mobile payment environment are more important to low intention users (less concerns about financial risk). Financial loss, safe, secured, reliable, and fast mobile payment environment are more important to medium intention users (less concerns about time and security risk). Monetary loss, safe, reliable, and fast mobile payment environment are more important to high intention users (less concerns about security risk and psychological risk). The results can help Japanese companies unlock the perceived risk on mobile payment and furnish appropriate strategies to improve usage. 關聯 Information Systems Frontiers, pp.1-14 資料類型 article DOI https://doi.org/10.1007/s10796-021-10160-6 dc.contributor 企管系 dc.creator (作者) 陳立民 dc.creator (作者) Chen, Li-Ming dc.creator (作者) Chang, Wei-Lun dc.creator (作者) Hashimoto, Takako dc.date (日期) 2021-06 dc.date.accessioned 11-Apr-2022 13:44:44 (UTC+8) - dc.date.available 11-Apr-2022 13:44:44 (UTC+8) - dc.date.issued (上傳時間) 11-Apr-2022 13:44:44 (UTC+8) - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/139788 - dc.description.abstract (摘要) In Japan, cashless is not yet popular but government and companies are devoted to the development of mobile payment methods. This research collected 241 Japanese users and applied decision trees algorithm. Six types of perceived risks (financial, privacy, performance, psychological, security, and time) were used and the categorized class is intention to use mobile payment (low, medium, and high). We also compared different competitive models to examine the performance, including decision trees, kNN, Naïve Bayes, SVM, and logistic regression and decision trees outperformed among all models. The findings indicated that privacy and performance risks are import to Japanese users. Safe, secured, reliable, and fast mobile payment environment are more important to low intention users (less concerns about financial risk). Financial loss, safe, secured, reliable, and fast mobile payment environment are more important to medium intention users (less concerns about time and security risk). Monetary loss, safe, reliable, and fast mobile payment environment are more important to high intention users (less concerns about security risk and psychological risk). The results can help Japanese companies unlock the perceived risk on mobile payment and furnish appropriate strategies to improve usage. dc.format.extent 1402654 bytes - dc.format.mimetype application/pdf - dc.relation (關聯) Information Systems Frontiers, pp.1-14 dc.subject (關鍵詞) Mobile payment;Perceived risk;Decision trees;Cashless dc.title (題名) Cashless Japan: Unlocking Influential Risk on Mobile Payment Service dc.type (資料類型) article dc.identifier.doi (DOI) 10.1007/s10796-021-10160-6 dc.doi.uri (DOI) https://doi.org/10.1007/s10796-021-10160-6
