IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia

  • Eastwood, C.R.
  • Chapman, D.F.
  • Paine, M.S.
Registered author(s):

    The on-farm use of commercial decision support systems (DSSs) presents learning and adaptation challenges for farmers and their social learning networks. A study of six Australian dairy farms installing new precision dairy farming technology was undertaken to develop an in-depth picture of the issues occurring at the interface where precision farming data and decision-making meet. A qualitative exploratory case study method was used, with farmers each interviewed up to five times from pre-installation until 2years of use. A three-phase learning trajectory was observed amongst farmers involving early learning, consolidation, and advanced use. Farmers exhibited experiential learning but also learned via interaction with a network of on- and off-farm contacts forming a network of practice around the new users. This precision dairy farming network of practice formed a vital method of exchanging knowledge on how to best use technology and data in farming systems, with DSSs acting as a boundary object for learning. Externalisation of tacit knowledge into an explicit form suitable for DSSs was a major focus of this social learning. Co-construction of DSS knowledge in the emerging network was impeded by the absence of potentially important agents, in addition to the incomplete links between existing agents such as technology retailers and farmers. A technological innovation systems perspective is used to propose an improved framework to make greater use of translators and intermediaries. It is aimed at improving links amongst the community to more effectively aid farmers in creating new knowledge in agricultural DSS use.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X11001831
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 108 (2012)
    Issue (Month): C ()
    Pages: 10-18

    as
    in new window

    Handle: RePEc:eee:agisys:v:108:y:2012:i:c:p:10-18
    DOI: 10.1016/j.agsy.2011.12.005
    Contact details of provider: Web page: http://www.elsevier.com/locate/agsy

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Madhu Khanna & Onesime Faustin Epouhe & Robert Hornbaker, 1999. "Site-Specific Crop Management: Adoption Patterns and Incentives," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 21(2), pages 455-472.
    2. Fountas, S. & Wulfsohn, D. & Blackmore, B.S. & Jacobsen, H.L. & Pedersen, S.M., 2006. "A model of decision-making and information flows for information-intensive agriculture," Agricultural Systems, Elsevier, vol. 87(2), pages 192-210, February.
    3. Rougoor, Carin W. & Trip, Ger & Huirne, Ruud B. M. & Renkema, Jan A., 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics, Blackwell, vol. 18(3), pages 261-272, May.
    4. Nuthall, P.L., 2006. "Determining the important management skill competencies: The case of family farm business in New Zealand," Agricultural Systems, Elsevier, vol. 88(2-3), pages 429-450, June.
    5. Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance," Agricultural Systems, Elsevier, vol. 97(3), pages 108-125, June.
    6. Volker Hoffmann & Kirsten Probst & Anja Christinck, 2007. "Farmers and researchers: How can collaborative advantages be created in participatory research and technology development?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(3), pages 355-368, September.
    7. Streeter, Deborah H, 1992. "Electronic Information Systems and Farmer Decision Making: Five Case Studies," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 19(1), pages 97-113.
    8. van Asseldonk, M. A. P. M. & Huirne, R. B. M. & Dijkhuizen, A. A. & Beulens, A. J. M., 1999. "Dynamic programming to determine optimum investments in information technology on dairy farms," Agricultural Systems, Elsevier, vol. 62(1), pages 17-28, October.
    9. Jakku, E. & Thorburn, P.J., 2010. "A conceptual framework for guiding the participatory development of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 103(9), pages 675-682, November.
    10. Douthwaite, B. & Keatinge, J. D. H. & Park, J. R., 2001. "Why promising technologies fail: the neglected role of user innovation during adoption," Research Policy, Elsevier, vol. 30(5), pages 819-836, May.
    11. 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.
    12. Klerkx, Laurens & Leeuwis, Cees, 2008. "Institutionalizing end-user demand steering in agricultural R&D: Farmer levy funding of R&D in The Netherlands," Research Policy, Elsevier, vol. 37(3), pages 460-472, April.
    13. Rougoor, Carin W. & Trip, Ger & Huirne, Ruud B.M. & Renkema, Jan A., 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 18(3), May.
    14. Wolf, Steven & Just, David & Zilberman, David, 2001. "Between data and decisions: the organization of agricultural economic information systems," Research Policy, Elsevier, vol. 30(1), pages 121-141, January.
    15. Klerkx, Laurens & Aarts, Noelle & Leeuwis, Cees, 2010. "Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment," Agricultural Systems, Elsevier, vol. 103(6), pages 390-400, July.
    16. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    17. Solano, C. & Leon, H. & Perez, E. & Herrero, M., 2003. "The role of personal information sources on the decision-making process of Costa Rican dairy farmers," Agricultural Systems, Elsevier, vol. 76(1), pages 3-18, April.
    18. Hall, Andrew & Rasheed Sulaiman, V. & Clark, Norman & Yoganand, B., 2003. "From measuring impact to learning institutional lessons: an innovation systems perspective on improving the management of international agricultural research," Agricultural Systems, Elsevier, vol. 78(2), pages 213-241, November.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:108:y:2012:i:c:p:10-18. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.