posted on 2010-11-16, 11:37authored byCaroline Parker
This thesis suggests that there is a problem with technology transfer in crop production.
The nature of the problem and the mechanisms available to the agricultural research
sector for solving it are examined. As a consequence it is argued that Decision Support
Systems (DSS) technology is an extremely useful mechanism for encapsulating and
delivering scientific knowledge to the industry. The thesis then poses the question of
why this technology is not currently being taken up by farmers and farm consultants,
hypothesising that the current lack of user involvement in design is a major contributing
factor. The hypothesis is supported by a survey of DSS development and use in
agriculture and it is concluded that a user-centred design (UCD) approach is important
to the successful adoption of these systems by the industry.
The thesis then asks what methods the agricultural DSS developers should employ to
ensure a user-centred design approach. It is suggested that it is not sufficient merely to
point DSS producers in the direction of user centred design but to furnish them with
adequate methods and tools to achieve this goal, bearing in mind their specific
requirements and limitations and the nature of the decision support task. A review of
currently available methods reveals that none of the standard methods meets this
requirement and that a new approach is therefore needed. An approach supported by
work from management science is introduced. This approach identifies the user's
questions to the system as a means of defining its function and features. Its use in the
context of workshops is developed into a user centred design method to meet all of the
requirements for the designer stakeholders. The question approach is also used as the
basis of ä method for identifying DSS interface requirements and collating design
solutions. Both methods are presented as mechanisms for improving the acceptance of
DSS in the sector. The document concludes by discussing the contribution made by the
thesis to its originating disciplines and looks forward to the future of DSS technology in
crop production.