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Manufacturing Stakeholders’ Perceptions of Factors That Promote and Inhibit Advanced Technology Adoption

Author

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  • Lucas Wiese

    (Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA)

  • Alejandra J. Magana

    (Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA
    Department of Engineering Education, Purdue University, West Lafayette, IN 47907, USA)

  • Khalil El Breidi

    (Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA)

  • Ali Shakouri

    (Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA)

Abstract

This study explores factors promoting and inhibiting advanced technology adoption in small- and medium-sized manufacturing firms (SMEs). With AI’s rapid advancement impacting productivity and efficiency across industries, understanding the challenges that SMEs face to remain competitive is crucial. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical framework, we analyzed managers, engineers, and line workers’ observations on workforce challenges, training needs, and opportunities faced by SMEs to provide insights into their smart manufacturing deployment experiences. Our findings highlight social influence’s role in promoting technology adoption, emphasizing community, shared experiences, and collaborative networks. Conversely, effort expectancy emerged as the largest inhibitor, with concerns about the complexity, time, and resources required for implementation. Individuals were also influenced by factors of facilitating conditions (organizational buy-in, infrastructure, etc.) and performance expectancy on their propensity to adopt advanced technology. By fostering positive organizational environments and communities that share success stories and challenges, we suggest this can mitigate the perceived effort expected to implement new technology. In turn, SMEs can better leverage AI and other advanced technologies to maintain global competitiveness. The research contributes to understanding technology adoption dynamics in manufacturing, providing a foundation for future workforce development and policy initiatives.

Suggested Citation

  • Lucas Wiese & Alejandra J. Magana & Khalil El Breidi & Ali Shakouri, 2025. "Manufacturing Stakeholders’ Perceptions of Factors That Promote and Inhibit Advanced Technology Adoption," Sustainability, MDPI, vol. 17(7), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2981-:d:1622082
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    References listed on IDEAS

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    1. Ai-Hsuan Chiang & Silvana Trimi & Tun-Chih Kou, 2024. "Critical Factors for Implementing Smart Manufacturing: A Supply Chain Perspective," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    2. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
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