Privacy concerns for mobile app download: An elaboration likelihood model perspective

Gu, Jie; Xu, Yunjie; Xu, Heng; Zhang, Cheng; Li, Hong

doi:10.1016/j.dss.2016.10.002

Cited by 220 publications

(149 citation statements)

References 36 publications

Supporting

Mentioning

142

Contrasting

Order By: Relevance

“…Therefore, MLBA providers should aim to reduce perceived levels of privacy invasion through the implementation of privacy intervention strategies that follow the new data protection regulations. Seeking permission from the user for app installation is not enough in itself, as research shows that a statement that justifies the purpose of the permission request alleviates users' privacy concerns (Gu et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

Gutiérrez

O’Leary

Rana

et al. 2019

Computers in Human Behavior

168

104

View full text Add to dashboard Cite

O'Leary, S.; Rana, Nripendra P.; Dwivedi, Y.K.; Calle, T. CitationGutierrez A, O'Leary S, Rana NP et al (2019) Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior. 95: 295-306. Rights AbstractLocation-based advertising is an entrepreneurial and innovative means for advertisers to reach out through personalised messages sent directly to mobile phones using their geographic location. The mobile phone users' willingness to disclose their location and other personal information is essential for the successful implementation of mobile location-based advertising (MLBA). Despite the potential enhancement of the user experience through such personalisation and the improved interaction with the marketer, there is an increasing tension between that personalisation and mobile users' concerns about privacy. While the privacy calculus theory (PCT) suggests that consumers make privacy-based decisions by evaluating the benefits any information may bring against the risk of its disclosure, this study examines the specific risks and benefits that influence consumers' acceptance of MLBA. A conceptual model is proposed based on the existing literature and a standardised survey was developed and targeted at individuals with known interests in the subject matter. From these requests, 252 valid responses were received and used to evaluate the key benefits and risks of MLBA from the users' perspectives. While the results confirmed the importance of internet privacy concerns (IPC) as an important determinant, they also indicate that monetary rewards and intrusiveness have a notably stronger impact on acceptance intentions towards MLBA.Intrusiveness is the most important risk factor in determining mobile users' intentions to accept MLBA and therefore establishing effective means of minimising the perceived intrusiveness of MLBA can be expected to have the greatest impact on achieving effective communications with mobile phone users.

show abstract

Section: Discussionmentioning

confidence: 99%

Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

Gutiérrez

O’Leary

Rana

et al. 2019

Computers in Human Behavior

168

104

View full text Add to dashboard Cite

show abstract

“…The concern of privacy harms can be considered as one negative beliefs toward the app. Privacy concern has been shown to be one critical determinant of intention to download an app [13]. Furthermore, risk perception has been shown to have an impact on security-information awareness and app selection [11] [19].…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Lai¹,

Hsu²,

Wu³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Furthermore, there was no correlation between the quality of the app and the number of reviewers it had. Smartphone users are more likely to download an app they perceive as popular, associating popularity with quality, [47] and adoption and use of technology is directly related to its ease of use and perceived usefulness [48]. In addition, postpartum women report greatly reduced time for themselves and shifting priorities to competing life responsibilities above their own health [49].…”

Section: Discussionmentioning

confidence: 99%

Comprehensively Addressing Postpartum Maternal Health: a Content and Image Review of Commercially Available Mobile Health Apps

Tucker

Villagomez

Krishnamurti

2020

Preprint

View full text Add to dashboard Cite

Background: The United States is currently facing a maternal morbidity and mortality crisis, with the highest rates of any resource-rich nation. In efforts to address this, new guidelines for postpartum care suggest that mobile health apps can help provide complementary clinical support for new mothers during the postpartum period. However, to date no study has evaluated existing mobile health tools targeted to this time period for sufficiency of maternal health information, inclusivity of people of color, or accessibility to users.Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were used to review the peripartum apps from the Apple and Google Play stores in either the Health/Fitness, Medical, or Education categories. Apps were then evaluated for extent and quality of maternal health information, inclusivity of people of color, and accessibility to app users.Results: Of the 301 apps from the Apple and Google Play stores, 25 met criteria for final evaluation. Of the 30 maternal health topics coded for, the median number addressed by apps was 19.5 (65%). Peripartum behaviors were more frequently addressed than peripartum outpatient care topics and peripartum acute health risks. The amount of maternal health information correlated positively with the Mobile Application Rating Scale (MARS) quality score of the app, and inclusivity of people of color in app imagery also correlated positively with the MARS quality score. Only 8 apps (32%) portrayed greater than 24% images of people of color- the percent of non-white Americans according to 2019 census estimates. There was no correlation between number of users as estimated by number of store ratings and MARS quality. In addition, apps with clinical authority had greater MARS engagement, information, aesthetics, and quality scores, but did not have greater numbers of store ratings.Conclusions: Current commercially available peripartum apps overall do not provide adequate maternal health information, are not inclusive of women of color, and are not optimally accessible to the target users. Apps authored with clinical authority and higher-quality apps, by MARS score, are more likely to meet these standards, but are not more likely to be downloaded and used.

show abstract

Privacy concerns for mobile app download: An elaboration likelihood model perspective

Cited by 220 publications

References 36 publications

Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Comprehensively Addressing Postpartum Maternal Health: a Content and Image Review of Commercially Available Mobile Health Apps

Contact Info

Product

Resources

About