The DOI matches its Crossref record; 15 of the 16 references it cites were found in a registry or an index.
Mobile Consumer Apps: Big Data Brother is Watching You
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In the citing paper
“The design of app stores and the way apps are presented do not seem to call for high involvement of users; apps are purchased rather automatically, without sufficient attention to privacy considerations (Buck et al., 2014).”
From Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources (2019) · cites this paper as Buck et al., 2014
Citations
Cites
Lewis, J. D., & Weigert, A. (1985) · Social Forces · doi:10.2307/2578601 · Cited by 4,163
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
Acquisti, A., & Gross, R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11957454_3 · Cited by 1,895
Bettman, J. R., & Park, C. W. (1980) · Journal of Consumer Research · doi:10.1086/208812 · Cited by 1,344
The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East
Gantz, J., & Reinsel, D. (2012) · Cited by 1,146
A survey of mobile malware in the wild
Felt, A. P., Finifter, M., Chin, E., Hanna, S., & Wagner, D. (2011) · Security and Privacy in Smartphones and Mobile Devices · doi:10.1145/2046614.2046618 · Cited by 775
Grazioli, S., & Järvenpää, S. L. (2000) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.852434 · Cited by 592
Defending Users against Smartphone Apps: Techniques and Future Directions
Enck, W. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25560-1_3 · Cited by 109
Exploring the Economics of Personal Data
OECD (2013) · OECD digital economy papers · doi:10.1787/5k486qtxldmq-en · Cited by 63
Vatrapu, R. (2012) · Springer eBooks · doi:10.1007/978-81-322-0792-4_11 · Cited by 43
Designs for effective implementation of trust assurances in internet stores
Kim, D., & Benbasat, I. (2010) · Communications of the ACM · doi:10.1145/1646353.1646386 · Cited by 31
Research works printed but not linked: 5
- hitec (2013): Apps — Eine Offenbarung, http://www.bit.ly /1cxY1cW, accessed 28.11.2013.
- Meeker, M./Lu, L. (2013): 2013 Internet Trends, http://www.www.kpcb.com /insights/2013- internet-trends, accessed 28.11.2013.
- Vodafone (2013): Echtzeit-Verkehrsinfos von TomTom und Vodafone, http://www.bit.ly /1bsEvd4, accessed 28.11.2013.
- Weinberg, P. (1995): Emotional Aspects of Decision Behaviour: A Comparison of Explanation Concepts, in: Hansen, F. (Ed.): European Advances in Consumer Research, Provo, pp. 246-250.
- World Economic Forum (2013): Unlocking the Value of Personal Data: From Collection to Usage, http://www.bit.ly /1cxYeNh, accessed 28.11.2013.
Cited by
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Barth, S., de Jong, M. D. T., Junger, M., Hartel, P. H., & Roppelt, J. C. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.03.003 · Cited by 260
Privacy Cynicism and its Role in Privacy Decision-Making
van Ooijen, I., Segijn, C. M., & Opree, S. J. (2024) · Communication Research · doi:10.1177/00936502211060984 · Cited by 81
“…in press), disclosure context (e.g., the use of social network sites vs. usage of online services; Baruh et al., 2017), information asymmetry (Buck et al., 2014), and/or perceptions of ways to cope with privacy threats (Boerman et al., 2021; Ham, 2017; Lee et al., 2013; Mousavi et al., 2020;…”
BackgroundMarkos, E., Labrecque, L. I., & Milne, G. R. (2018) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.01.004 · Cited by 68
App Users Unwittingly in the Spotlight: A Model of Privacy Protection in Mobile Apps
Wottrich, V. M., van Reijmersdal, E. A., & Smit, E. G. (2018) · Journal of Consumer Affairs · doi:10.1111/joca.12218 · Cited by 64
Privacy Concerns Associated with Smartphone Use
Sipior, J. C., Ward, B. T., & Volonino, L. (2014) · Journal of Internet Commerce · doi:10.1080/15332861.2014.947902 · Cited by 25
Alsoubai, A., Anaraky, R. G., Li, Y., Page, X., Knijnenburg, B. P., & Wiśniewski, P. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517652 · Cited by 24
Mastering Big Data in the Digital Age
Kasemsap, K. (2016) · Advances in data mining and database management book series · doi:10.4018/978-1-5225-0182-4.ch008 · Cited by 16
How a Pattern-based Privacy System Contributes to Improve Context Recognition
Stach, C., Dürr, F., Mindermann, K., Palanisamy, S. M., & Wagner, S. (2018) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2018.8480227 · Cited by 14
Hassan, M. K., Rabbani, M. R., Jreisat, A., & Hossain, M. M. (2022) · Springer eBooks · doi:10.1007/978-3-031-14941-2_12 · Cited by 12
Buck, C., Dinev, T., & Anaraky, R. G. (2022) · Springer eBooks · doi:10.1007/978-3-030-82786-1_3 · Cited by 13
Self-citationConsumer privacy in the era of big data: a survey of smartphone users concerns
Yapraklı, T. Ş., & Ünalan, M. (2017) · Pressacademia · doi:10.17261/pressacademia.2017.509 · Cited by 6
The Role of Trust in Determining Consumers’ Intention to Click on Online Personalized Ads
Utami, T. R., & Agus, A. A. (2019) · International Conference of Computer and Informatics Engineering (IC2IE) · doi:10.1109/ic2ie47452.2019.8940892 · Cited by 3
Choose to think: Nudging towards privacy informed decisions at the app download stage
Klütsch, J., Zimmermann, V., & Schlittmeier, S. J. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108895 · Cited by 2
Cognitive dissonance and mobile application continued use intentions: a thematic analysis
Sharma, K., & Kalra, S. (2024) · DECISION · doi:10.1007/s40622-024-00389-w · Cited by 2
Big Data: the Beauty or the BeastPreprint
Crişan, C., Zbuchea, A., & Moraru, S. (2014) · SSRN Electronic Journal · doi:10.13140/2.1.2709.7282 · Cited by 2
Klütsch, J., Kreuder, A., Haehn, L., Kuck, I., Böffel, C., Frick, U., & Schlittmeier, S. J. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106746 · Cited by 1
BIG DATA AND BUSINESS ANALYTICS IN A BLENDED COMPUTING-BUSINESS DEPARTMENT
(2015) · Issues in Information Systems · doi:10.48009/1_iis_2015_200-209 · Cited by 1
Mobile Applikationen im Arbeitsalltag: Geringe Literacy als Sicherheitsgefahr für Unternehmen
Buck, C., Kaubisch, D., & Eymann, T. (2018) · Edition HMD · doi:10.1007/978-3-658-21359-6_8 · Cited by 1
Self-citationMobile Applikationen im Arbeitsalltag: Geringe Literacy als Sicherheitsgefahr für Unternehmen
Buck, C., Kaubisch, D., & Eymann, T. (2015) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-015-0196-3 · Cited by 1
Self-citationNutzer präferieren den Schutz ihrer Daten
Buck, C., Stadler, F., Suckau, K., & Eymann, T. (2016) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-016-0280-3 · Cited by 2
Self-citationDealing with privacy and security risks - app consumers in mobile ecosystems
Buck, C., Horbel, C., & Eymann, T. (2014) · University of Southern Denmark Research Portal (University of Southern Denmark)
Self-citation
Metadata
- Authors
- Buck, C., Horbel, C., Kessler, T., & Christian, C.
- Affiliations
- University of Bayreuth (DE)
- University of Southern Denmark (DK)
- Venue
- Marketing Review St. Gallen
- Published
- 2014-02
- Volume
- 31
- Issue
- 1
- Pages
- 26-35
- ISSN
- 1865-6544 (ISSN-L)
- 1865-7516
- OpenAlex
- W2060122590
- Cited by
- 22
- References
- 16
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 4 · 2021: 1 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 3
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Marketing Review St Gallen (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- big data, consumer privacy, data collection, surveillance, consumer behavior
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