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