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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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    1. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Simona Naspetti & Serena Mandolesi & Jeroen Buysse & Terhi Latvala & Philippa Nicholas & Susanne Padel & Ellen J. Van Loo & Raffaele Zanoli, 2017. "Determinants of the Acceptance of Sustainable Production Strategies among Dairy Farmers: Development and Testing of a Modified Technology Acceptance Model," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Gastaldi, Luca & Lessanibahri, Sina & Tedaldi, Gianluca & Miragliotta, Giovanni, 2022. "Companies’ adoption of Smart Technologies to achieve structural ambidexterity: an analysis with SEM," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Z Irani & Y K Dwivedi & M D Williams, 2009. "Understanding consumer adoption of broadband: an extension of the technology acceptance model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1322-1334, October.
    7. Dengler, Katharina & Matthes, Britta, 2018. "The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 304-316.
    8. Riina Vuorikari & Yves Punie & Stephanie Carretero Gomez & Godelieve Van Den Brande, 2016. "DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: the Conceptual Reference Model," JRC Research Reports JRC101254, Joint Research Centre.
    9. Tom van Laer & Ko de Ruyter & Luca M. Visconti & Martin Wetzels, 2014. "The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers' Narrative Transportation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(5), pages 797-817.
    10. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    11. Rayna, Thierry & Striukova, Ludmila, 2021. "Fostering skills for the 21st century: The role of Fab labs and makerspaces," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    12. Luca Mora & Mark Deakin & Xiaoling Zhang & Michael Batty & Martin de Jong & Paolo Santi & Francesco Paolo Appio, 2021. "Assembling Sustainable Smart City Transitions: An Interdisciplinary Theoretical Perspective," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(1-2), pages 1-27, April.
    13. Fernández-Rovira, Cristina & Álvarez Valdés, Jesús & Molleví, Gemma & Nicolas-Sans, Ruben, 2021. "The digital transformation of business. Towards the datafication of the relationship with customers," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    14. Ingram, Julie & Maye, Damian & Bailye, Clive & Barnes, Andrew & Bear, Christopher & Bell, Matthew & Cutress, David & Davies, Lynfa & de Boon, Auvikki & Dinnie, Liz & Gairdner, Julian & Hafferty, Caitl, 2022. "What are the priority research questions for digital agriculture?," Land Use Policy, Elsevier, vol. 114(C).
    15. Capello, Roberta & Lenzi, Camilla, 2021. "Industry 4.0 and servitisation: Regional patterns of 4.0 technological transformations in Europe," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    17. Tali Sharot & Cass R. Sunstein, 2020. "How people decide what they want to know," Nature Human Behaviour, Nature, vol. 4(1), pages 14-19, January.
    18. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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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. 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.
    3. 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).

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