Replication Data for: Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach.

DOI

The research investigates which factors among outcome favorability, data protection, and data sharing has the highest relative influence on people's willingness to adopt new big data technologies and how morally acceptable they find these technologies. To investigate this question, we conducted an online study using a conjoint design. The data includes the data from this conjoint study.

This data package includes the data, analysis scripts, and relevant documents for Chapter 2 of the dissertation: The role of tradeoffs and moralization in the adoption of big data.

Identifier
DOI https://doi.org/10.34894/YUCT6Q
Related Identifier IsCitedBy https://doi.org/10.1016/j.chb.2020.106303
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/YUCT6Q
Provenance
Creator Kodapanakkal, Rabia; Brandt, M.J.; Kogler, C.; van Beest, Ilja
Publisher DataverseNL
Contributor Kodapanakkal, Rabia; Tilburg University; DataverseNL
Publication Year 2020
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Kodapanakkal, Rabia (Tilburg University)
Representation
Resource Type Miscellaneous data; Dataset
Format type/x-r-syntax; text/plain; text/csv; application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 63966; 325; 6191; 6205; 856; 6208; 6224; 385; 172383; 3690; 6201; 6204; 369155; 11517; 3768433; 56; 605034; 575035; 493162; 461723; 468443; 443277; 543371; 515246; 503107; 473957; 525854; 497408
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences