Replication Data for: Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Attitudes","Big data","Conjoint analysis","Social Sciences","Tilburg University"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
Attitudes; Big data; Conjoint analysis; Social Sciences; Tilburg University