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Intelligent Hog Farming Adoption Choices Using the Unified Theory of Acceptance and Use of Technology Model: Perspectives from China’s New Agricultural Managers

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  • Jiannan Wang

    (College of Economics and Management, South China Agricultural University, Guangzhou 510642, China)

  • Shaoning Zhang

    (School of Insurance, Guangdong University of Finance, Guangzhou 510521, China)

  • Lezhu Zhang

    (College of Economics and Management, South China Agricultural University, Guangzhou 510642, China)

Abstract

This research delves into the intricacies of decision-making processes underpinning the willingness to upgrade technology within the burgeoning domain of intelligent pig farming in China, employing the UTAUT model to scrutinize how various determinants sway upgrade willingness and the ensuing behavioral modification. By applying the UTAUT model to intelligent pig farming, the inquiry evaluates the impact of performance expectations, effort expectations, social influence, and contributory factors on upgrade willingness and behavior, with data amassed from assorted novel agricultural management entities in China. The findings unveil that performance and effort expectations, social influence, and contributory factors have a favorable influence on upgrade willingness, while contributory factors, alongside the augmentation of upgrade willingness, positively affect upgraded behavior. This inquiry underscores the multifaceted interaction of factors guiding technological upgrade verdicts in intelligent pig farming, furnishing invaluable insights for comprehending technology adoption in agriculture. It lays a groundwork for devising strategies to spur technological advancements, harboring potential for wider applications across varied agricultural vistas.

Suggested Citation

  • Jiannan Wang & Shaoning Zhang & Lezhu Zhang, 2023. "Intelligent Hog Farming Adoption Choices Using the Unified Theory of Acceptance and Use of Technology Model: Perspectives from China’s New Agricultural Managers," Agriculture, MDPI, vol. 13(11), pages 1-22, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:11:p:2067-:d:1269023
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    References listed on IDEAS

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    1. Ayorinde Ogunyiola & Maaz Gardezi, 2022. "Restoring sense out of disorder? Farmers’ changing social identities under big data and algorithms," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1451-1464, December.
    2. Espérance Zossou & Rose Fiamohe & Simple Davo Vodouhe & Matty Demont, 2022. "Experimental auctions with exogenous and endogenous information treatment: Willingness to pay for improved parboiled rice in Benin," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 806-825, September.
    3. Junjin Chen & Hong Zhou, 2023. "The Role of Contract Farming in Green Smart Agricultural Technology," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
    4. Jinyang Cai & Yu Hong & Meifang Zhou & Ruifa Hu & Fengxiang Ding, 2023. "Farmer field school participation and exit decisions in hog production: A case study from Beijing," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 549-563, March.
    5. Ball, Sheryl & Katz, Benjamin & Li, Flora & Smith, Alec, 2023. "The effect of cognitive load on economic decision-making: a replication attempt," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 226-242.
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