完整後設資料紀錄
DC 欄位語言
dc.contributor.authorYao, Mei-Lingen_US
dc.contributor.authorChuang, Ming-Chuenen_US
dc.contributor.authorHsu, Chun-Chengen_US
dc.date.accessioned2019-04-02T05:59:59Z-
dc.date.available2019-04-02T05:59:59Z-
dc.date.issued2018-09-01en_US
dc.identifier.issn0167-4048en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.cose.2018.07.008en_US
dc.identifier.urihttp://hdl.handle.net/11536/148294-
dc.description.abstractThe Google Play app store is providing more than 200 mobile security applications (MSAs) with abundant features. This study consolidates and extracts 12 main mobile security and antivirus features out of the top 25 MSA vendors to find out how users evaluate and classify quality attributes for these features with the Kano Model two-dimensional questionnaire. The analysis result shows that all features could be classified as either one-dimensional or indifferent quality. These 12 features could be further grouped into 5 quality types (O, OA, OI, IO and I) based on SI and DSI values assigned to each feature for its impact on customer satisfaction. Overall, the top four features with greater impact on customer satisfaction are "malware prevention", "safe browsing", "parental control" and "privacy protection". The MSA vendors should emphasize these 4 features. The "secure app advisor" and "app lock" may enjoy less attention as they bear little impact on customer satisfaction. The "data backup", "garbage file cleanup", "Wi-Fi security", "message and call filter", "remote wipe" and "remote lock and locate" have the higher impact on increasing customer satisfaction than reducing dissatisfaction. For MSA vendors with above average quality, they have to put more design efforts on these features to gain more customer satisfaction. Female users pay more attention to "remote lock and locate" and "Wi-Fi security" while users with little technological knowledge focus on "garbage file cleanup", "remote lock and locate" and "secure app advisor". (C) 2018 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectMobile securityen_US
dc.subjectMobile security applicationen_US
dc.subjectKano modelen_US
dc.subjectMobile security risken_US
dc.subjectAntivirusen_US
dc.titleThe Kano model analysis of features for mobile security applicationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cose.2018.07.008en_US
dc.identifier.journalCOMPUTERS & SECURITYen_US
dc.citation.volume78en_US
dc.citation.spage336en_US
dc.citation.epage346en_US
dc.contributor.department應用藝術研究所zh_TW
dc.contributor.departmentInstitute of Applied Artsen_US
dc.identifier.wosnumberWOS:000447358700023en_US
dc.citation.woscount0en_US
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