A computational literature review of the technology acceptance model
作者:
Highlights:
• An automated approach to the analysis of large bodies of literature is proposed.
• Analysis includes impact (citations), structure (co-authorships), and content (topic modeling of abstracts).
• The technology acceptance literature is reviewed using a fully automated method.
• Latent Dirichlet Allocation (LDA) is introduced.
• Further use cases include journal ranking and researcher analysis.
摘要
•An automated approach to the analysis of large bodies of literature is proposed.•Analysis includes impact (citations), structure (co-authorships), and content (topic modeling of abstracts).•The technology acceptance literature is reviewed using a fully automated method.•Latent Dirichlet Allocation (LDA) is introduced.•Further use cases include journal ranking and researcher analysis.
论文关键词:Literature review,Computational literature review,Topic models,Lda,Social network analysis,Co-authorship analysis,Citation analysis,Technology acceptance model,Journal ranking
论文评审过程:Received 15 January 2016, Revised 9 May 2016, Accepted 27 July 2016, Available online 27 October 2016, Version of Record 27 October 2016.
论文官网地址:https://doi.org/10.1016/j.ijinfomgt.2016.07.007