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Use of biologic inputs among cereal farmers: application of technology acceptance model

Author

Listed:
  • Asghar Bagheri

    (University of Mohaghegh Ardabili)

  • Abolmohammad Bondori

    (University of Mohaghegh Ardabili)

  • Mohammad Sadegh Allahyari

    (Rasht Branch, Islamic Azad University)

  • Jhalukpreya Surujlal

    (Deputy Dean Research and Innovation, North-West University)

Abstract

This study sought to determine whether the technology acceptance model (TAM) could adequately explain the adoption and use of biological inputs (BI). A sample of 150 cereal farmers from Bilehsavar County of Ardabil Province, Iran, participated in this study for data collection. Two key components of TAM, i.e., perceived usefulness (PU) and perceived ease of use (PEOU), along with attitudes, intentions and usage behavior, were measured using five-point Likert-type scales and modeled using structural equation modeling (SEM). Generally, scores on all scales indicated that behavioral intention was not well known and used by farmers. Intention to use and usage behavior indicated the lowest mean scores, implying that few farmers intended to use or were using BI. PEOU showed the lowest mean score suggesting respondents perceived that BI was not easy to use. Attitude and PU scores indicated that most of the respondents had fairly negative to neutral attitudes and perceptions toward the usefulness of BI. Attitudes and intentions accounted for 52% of the variance in farmers’ behavior. Attitude and PU, in turn, accounted for 56% of variability in intentions. PU and PEOU also accounted for 64% of the variability in attitudes. Based on these findings, an extension education program to facilitate the application of BI will improve PEOU and promote farmers’ PU and intentions. Visits to demonstration farms and discussion sessions are useful to improve farmers’ attitudes and thereby to promote their intention to adopt useful technologies. Removing agrochemicals’ subsidies, providing farmers with incentives for reducing agrochemicals and increasing BI use are essential to encourage farmers in the adoption and application of BI.

Suggested Citation

  • Asghar Bagheri & Abolmohammad Bondori & Mohammad Sadegh Allahyari & Jhalukpreya Surujlal, 2021. "Use of biologic inputs among cereal farmers: application of technology acceptance model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5165-5181, April.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00808-9
    DOI: 10.1007/s10668-020-00808-9
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    1. Liljander, Veronica & Polsa, Pia & van Riel, Allard, 2009. "Modelling consumer responses to an apparel store brand: Store image as a risk reducer," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 281-290.
    2. Sinden, Jack A. & King, David A., 1990. "Adoption of Soil Conservation Measures in Manilla Shire, New South Wales," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-14, December.
    3. Flett, Ross & Alpass, Fiona & Humphries, Steve & Massey, Claire & Morriss, Stuart & Long, Nigel, 2004. "The technology acceptance model and use of technology in New Zealand dairy farming," Agricultural Systems, Elsevier, vol. 80(2), pages 199-211, May.
    4. 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.
    5. Meredith Niles & Margaret Brown & Robyn Dynes, 2016. "Farmer’s intended and actual adoption of climate change mitigation and adaptation strategies," Climatic Change, Springer, vol. 135(2), pages 277-295, March.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. 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.
    8. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    9. Austin, E.J. & Willock, J. & Deary, I.J. & Gibson, G.J. & Dent, J.B. & Edwards-Jones, G. & Morgan, O. & Grieve, R. & Sutherland, A., 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part II: nonlinear and expert modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 225-241, October.
    10. Austin, E.J & Willock, J & Deary, I.J & Gibson, G.J & Dent, J.B & Edwards-Jones, G & Morgan, O & Grieve, R & Sutherland, A, 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 203-224, October.
    11. Meredith T. Niles & Margaret Brown & Robyn Dynes, 2016. "Farmer’s intended and actual adoption of climate change mitigation and adaptation strategies," Climatic Change, Springer, vol. 135(2), pages 277-295, March.
    12. 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.
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