Acceptance of Automation Manufacturing Technology in China: An Examination of Perceived Norm and Organizational Efficacy

Dongmei Cao, Hong Tao, Yichuan Wang, Ali Tarhini, Senmao Xia

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

With a shift to more automation technology, social acceptance of technology plays an important role in the manufacturing sector. To what extent this occurs, and affects the adoption of technology, has been less researched, but is important in deciding how such technology is introduced, and the nature of the shift from labour-intensive manufacturing to automation. This research applies the revised technology acceptance model (TAM) to examine the impact of social and individual antecedents on the acceptance of automation manufacturing technology. Survey data are collected from 258 Chinese manufacturers. Results suggest that perceived norms significantly affect organizational intention to use automation manufacturing technology both directly and via perceived usefulness; organizational efficacy explains the intention to use via mediating effect of perceived usefulness and perceived ease of use. This research is one of the first extending and applying TAM from individuals to organizations.

Original languageEnglish
Pages (from-to)660-672
Number of pages13
JournalProduction Planning & Control
Volume31
Issue number8
Early online date24 Sep 2019
DOIs
Publication statusPublished - 10 Jun 2020

Funder

The work was partly supported by National Natural Science Foundation of China under Grant NSFC (71834006).

Keywords

  • Perceived norm
  • organizational efficacy
  • automation manufacturing
  • Technology acceptance
  • China

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