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Shop floor manufacturing technology adoption: an adaptation of the technology acceptance model

Author

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  • Thomas V. Scannell
  • Steven A. Melnyk
  • Roger J. Calantone

Abstract

This research examines the decision process for adopting a specific subset of advanced manufacturing technologies: computerised numerical control (CNC), direct numerical control (DNC), material working lasers, and robots, a subset of AMT collectively referred to as shop floor manufacturing technology (SFMT). A modified technology acceptance model was developed to test the proposed relationships in the decision process. Survey responses from 124 managers who recently invested in an SFMT were analysed using structural equation modelling. The modified model provides a framework for examining SFMT adoption processes, though not all hypotheses were supported. For example, supplier support did not have a significant influence on perceived behavioural control, suggesting that technology suppliers remain an untapped resource. SFMT performance outcomes suggest that adopters are making good decisions, though there is room for improvement.

Suggested Citation

  • Thomas V. Scannell & Steven A. Melnyk & Roger J. Calantone, 2011. "Shop floor manufacturing technology adoption: an adaptation of the technology acceptance model," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 23(3/4), pages 193-213.
    • Handle: RePEc:ids:ijmtma:v:23:y:2011:i:3/4:p:193-213
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    Cited by:

    1. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).

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