Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research

作者：

Highlights：

• How technology acceptance research can capture complex multidimensional phenomena.

• How predictors of m-learning adoption interrelate to form complex configurations.

• Eight different solutions can explain high m-learning adoption.

• A methodological approach on how to apply fsQCA in learning systems and analytics.

摘要

•How technology acceptance research can capture complex multidimensional phenomena.•How predictors of m-learning adoption interrelate to form complex configurations.•Eight different solutions can explain high m-learning adoption.•A methodological approach on how to apply fsQCA in learning systems and analytics.

论文关键词：Mobile learning,Learning systems,Adoption,Fuzzy-set qualitative comparative analysis (fsQCA),Configuration

论文评审过程：Received 10 February 2017, Revised 1 August 2017, Accepted 9 October 2017, Available online 27 October 2017, Version of Record 18 January 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2017.10.010