Self-interest and data protection drive the adoption and moral acceptability of big data technologies
| العنوان: | Self-interest and data protection drive the adoption and moral acceptability of big data technologies |
|---|---|
| المؤلفون: | Christoph Kogler, Ilja van Beest, Mark J. Brandt, Rabia I. Kodapanakkal |
| المساهمون: | Department of Social Psychology |
| المصدر: | Computers in Human Behavior Computers in Human Behavior, 108:106303. PERGAMON-ELSEVIER SCIENCE LTD |
| بيانات النشر: | PERGAMON-ELSEVIER SCIENCE LTD, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Status quo, media_common.quotation_subject, Big data, 050801 communication & media studies, RISK PERCEPTION, 0508 media and communications, Outcome favorability, Arts and Humanities (miscellaneous), Crime prevention, Data Protection Act 1998, ATTITUDES, Marketing, Conjoint analysis, General Psychology, media_common, Data protection, Status quo bias, PRIVACY, business.industry, 05 social sciences, 050301 education, 16. Peace & justice, LOSS AVERSION, Human-Computer Interaction, Risk perception, Data sharing, Moral acceptability, business, Psychology, 0503 education |
| الوصف: | Big data technologies have both benefits and costs which can influence their adoption and moral acceptability. Prior studies look at people's evaluations in isolation without pitting costs and benefits against each other. We address this limitation with a conjoint experiment (N = 979), using six domains (criminal investigations, crime prevention, citizen scores, healthcare, banking, and employment), where we simultaneously test the relative influence of four factors: the status quo, outcome favorability, data sharing, and data protection on decisions to adopt and perceptions of moral acceptability of the technologies. We present two key findings. (1) People adopt technologies more often when data is protected and when outcomes are favorable. They place equal or more importance on data protection in all domains except healthcare where outcome favorability has the strongest influence. (2) Data protection is the strongest driver of moral acceptability in all domains except healthcare, where the strongest driver is outcome favorability. Additionally, sharing data lowers preference for all technologies, but has a relatively smaller influence. People do not show a status quo bias in the adoption of technologies. When evaluating moral acceptability, people show a status quo bias but this is driven by the citizen scores domain. Differences across domains arise from differences in magnitude of the effects but the effects are in the same direction. Taken together, these results highlight that people are not always primarily driven by self-interest and do place importance on potential privacy violations. The results also challenge the assumption that people generally prefer the status quo.Keywords: Attitudes, Big data, Conjoint analysis, Data protection, Data sharing, Loss aversion, Moral acceptability, Outcome favorability, Privacy, Risk perception |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0747-5632 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::889270de85a5312bb0bec63326115951Test https://doi.org/10.1016/j.chb.2020.106303Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....889270de85a5312bb0bec63326115951 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 07475632 |
|---|