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The Impact of the Manufacturing AI Introduction Environment on Technology Trust and Intention to Utilize: Focusing on the TOE Framework

  • Industry Promotion Research
  • Abbr : IPR
  • 2024, 9(3), pp.101-117
  • DOI : 10.21186/IPR.2024.9.3.101
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : June 13, 2024
  • Accepted : July 11, 2024
  • Published : July 31, 2024

Wan-Soo Lim 1 Hyeon-Suk Park 1

1서울벤처대학원대학교

Accredited

ABSTRACT

This study empirically analyzed the factors affecting the intention to utilize manufacturing AI in SM-sized manufacturers by applying the TOE framework. Independent variables that are expected to influence were applied, focusing on TOE factors and managerial characteristics that reflect the characteristics of SME manufacturers. In addition, the mediating effect of technology trust and the moderating effect of factory location were analyzed. The results are as follows. First, the relationship between the independent variables and the dependent variable was tested, and the direct effects of the independent variables(complexity, organizational innovation, IT ability, competitive pressure, partner support, and managerial innovation) on the dependent variable were all statistically significant, except for compatibility. Second, the mediation effect of technology trustness was verified to have a full mediation effect between compatibility and utilization intention, and a partial mediation effect between managerial innovation and utilization intention. Third, among the seven independent variables, the moderating effect of factory location(metropolitan and non-metro) between the three independent variables of IT ability, competitive pressure, and partner support and the utilization intention was found to be significant. To increase the intention to utilize manufacturing AI for SM-sized manufacturers, it is recommended that more diverse and broader studies are needed, not only the factors identified in this study, but also the understanding and awareness of manufacturing AI.

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