Consumer Attitudes towards Firms that Monetize Personal Information: A Cluster Analysis and Regulatory Implications.
Sebastian HermesEric K. ClemonsDavid WittenzellnerAndreas HeinMarkus BöhmHelmut KrcmarPublished in: PACIS (2020)
Keyphrases
- personal information
- cluster analysis
- attitudes toward
- statistically significant
- online shopping
- categorical data
- clustering method
- data mining
- private information
- personal data
- privacy concerns
- clustering algorithm
- information technology
- third party
- factor analysis
- unsupervised learning
- hierarchical latent class models
- social networking
- data analysis
- k means
- behavioral intention
- cluster validity
- data mining techniques
- fuzzy c means
- data sets
- perceived usefulness
- theory of planned behavior
- machine learning
- latent class models