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The hidden power of emotions: How psychological factors influence skill development in smart technology adoption

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  • Gerli, Paolo
  • Clement, Jessica
  • Esposito, Giovanni
  • Mora, Luca
  • Crutzen, Nathalie

Abstract

Working within the theoretical framework set by the Technology Acceptance Model (TAM) literature, this paper clarifies how psychological factors (emotions, attitudes, beliefs, and information-seeking) affect skill development in the context of smart farming technologies. Interviews with multiple stakeholders from the agriculture sectors of three European countries (Belgium, Italy, and the United Kingdom) were used to develop a new conceptual model that attempts to generalize the complex interplay existing between skills and psychological factors in the context of smart technology adoption. This conceptualization provides a systematic view of the correlation between skills and psychological factors, complements the TAM by introducing the new concept of attitude to learning, and clarifies how the interplay between cognitive and emotional components influences the decisions to adopt and use smart technologies. In addition to these theoretical contributions, the paper emphasizes the importance of designing policy initiatives that tackle both cognitive and emotional barriers to the adoption of smart technologies, urging decision makers to move away from the simplistic assumption that increasing the digital skills of potential users automatically leads to growth in the adoption and implementation of smart technologies.

Suggested Citation

  • Gerli, Paolo & Clement, Jessica & Esposito, Giovanni & Mora, Luca & Crutzen, Nathalie, 2022. "The hidden power of emotions: How psychological factors influence skill development in smart technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522002475
    DOI: 10.1016/j.techfore.2022.121721
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    Cited by:

    1. Mora, Luca & Gerli, Paolo & Ardito, Lorenzo & Messeni Petruzzelli, Antonio, 2023. "Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda," Technovation, Elsevier, vol. 123(C).
    2. Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).
    3. Wenxuan Geng & Liping Liu & Junye Zhao & Xiaoru Kang & Wenliang Wang, 2024. "Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    4. Mengting Cheng & Xianmiao Li & Jicheng Xu, 2022. "Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    5. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    6. Roberto Fragomeli & Azzurra Annunziata & Gennaro Punzo, 2024. "Promoting the Transition towards Agriculture 4.0: A Systematic Literature Review on Drivers and Barriers," Sustainability, MDPI, vol. 16(6), pages 1-29, March.

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