Willingness to share information via mobile application : the risk-benefit perspective
Tekijät
Päivämäärä
2022Tekijänoikeudet
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
Increased time spent online, and the increased use of mobile devices and applications have raised consumer privacy concerns. With advanced technology enables efficient data collection through mobile devices, thus consumers are demanding more control for information sharing. Major technology companies have announced that they will stop third-party data collection and are already offering consumers ways to block data collection. This has significant implications for the effectiveness of digital marketing, as third-party information has been used to optimize digital marketing. Therefore, companies should focus on first-party data collection to ensure that digital marketing can implement effectively in the future. This study examines mobile app users’ decision-making in information sharing from a risk-benefit perspective and test the moderating effect of technology anxiety. In addition, the study examines whether users' willingness to share information affects their acceptance of in-app messages. The study was implemented as an experimental study, where the impact of the app's data processing notifications on the privacy risk and personalization experienced by the user was tested. The respondents were randomly divided into four different groups, which were treated with a low or high level of privacy risk and a low or high level of personalization, depending on the group. After treatment, each respondent answered the same online questionnaire. A total of 400 respondents answered the survey. The results of the study confirm the importance of trust in the willingness to share information. In addition, the results suggest that personalization strengthens trust, increases the users’ willingness to share information, and increases the intention to accept in-app messages. In addition, the research results suggest that privacy risk notifications regarding data processing increased users' privacy concerns, providing a new perspective on the kind of information may reduce users' trust in the app and thus reduces the willingness to share information.
...
Asiasanat
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Pro gradu -tutkielmat [29427]
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Possibilities of mobile marketing in classical music audience development : a charting survey on classical music audiences’ willingness to adopt an orchestra branded mobile application
Piiroinen, Petra (2019)Tutkimuksen tarkoituksena on selvittää, miten klassisen musiikin ja erityisesti suomalaisten orkesteri- instituutioiden yleisöt suhtautuvat mobiiliapplikaatioihin markkinoinnin ja yleisötyön työkaluna. Klassisen musiikin ... -
Perceived effectiveness of privacy policy and its association with trust and behavioral intention to participate in a digital workplace wellness program
Peltoniemi, Ari (2020)The Perceived Effectiveness of Privacy Policy (PEPP) is a topical issue in information privacy research. In this study we developed a research model applying Theory of Reasoned Action and the Privacy–Trust–Behavioral ... -
Online expression and spending on personal cybersecurity
Rauhala, Juhani; Tyrväinen, Pasi; Zaidenberg, Nezer (Academic Conferences International, 2019)The Internet is used increasingly as a platform both for free expression and e-commerce. Internet users have a variety of attitudes towards the security and privacy risks involved with using the Internet; and distinct ... -
Online Expression, Personal Cybersecurity Costs, and the Specter of Cybercrime
Rauhala, Juhani; Tyrväinen, Pasi; Zaidenberg, Nezer (IGI Global, 2020)The internet is used increasingly as a platform both for free expression and e-commerce. The internet has unique security and privacy risks. Such risks include the threat of criminal cyberattacks, including hacking and ... -
CCTVCV : Computer Vision model/dataset supporting CCTV forensics and privacy applications
Turtiainen, Hannu; Costin, Andrei; Hämäläinen, Timo; Lahtinen, Tuomo; Sintonen, Lauri (IEEE, 2022)The increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks for the last several decades. Recent technological advances implemented ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.