Skip to main content

Research Repository

Advanced Search

3D printing system: an innovation for small-scale manufacturing in home settings? – early adopters of 3D printing systems in China

Wang, Qingfeng; Sun, Xu; Cobb, Sue; Lawson, Glyn; Sharples, Sarah

Authors

Qingfeng Wang

Xu Sun

Sue Cobb

GLYN LAWSON GLYN.LAWSON@NOTTINGHAM.AC.UK
Associate Professor

SARAH SHARPLES SARAH.SHARPLES@NOTTINGHAM.AC.UK
Professor of Human Factors



Abstract

This study investigates Chinese consumers’ adoption of the innovative 3D printing systems for small-scale manufacturing in home settings. Empirical studies were conducted in a survey with 256 participants. The number of significant determinants that affect an individual’s decision to adopt 3D printing systems has been identified by applying a model that integrates the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT). A number of moderation effects of demographic variables (e.g. gender, design background) on the association between motivational variables and participants’ adoption have also been analysed with factor analysis, structural equation modelling and hierarchical regression. Our results shed some light on the characteristics of early adopters of home 3D printing systems in China. This study contributes to the early understanding of Chinese consumers’ adoption of innovative 3D printing systems.

Citation

Wang, Q., Sun, X., Cobb, S., Lawson, G., & Sharples, S. (in press). 3D printing system: an innovation for small-scale manufacturing in home settings? – early adopters of 3D printing systems in China. International Journal of Production Research, https://doi.org/10.1080/00207543.2016.1154211

Journal Article Type Article
Acceptance Date Feb 1, 2016
Online Publication Date Mar 1, 2016
Deposit Date Jul 13, 2016
Publicly Available Date Mar 28, 2024
Journal International Journal of Production Research
Print ISSN 0020-7543
Electronic ISSN 1366-588X
Publisher Taylor & Francis Open
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/00207543.2016.1154211
Keywords 3D printing systems, Moderation effect, Hierarchical regression, Structural equation modelling
Public URL https://nottingham-repository.worktribe.com/output/774593
Publisher URL http://www.tandfonline.com/doi/abs/10.1080/00207543.2016.1154211?journalCode=tprs20
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 01/03/2016, available online: http://www.tandfonline.com/10.1080/00207543.2016.1154211

Files





You might also like



Downloadable Citations