Foresighting for Responsible Innovation Using a Delphi Approach: A Case Study of Virtual Fencing Innovation in Cattle Farming
The use of virtual fencing (VF) in pasture-grazed farm systems is currently close to commercial reality but there are no studies applying the principles of responsible research and innovation, such as foresighting, to this technology. This paper reports results of a study aimed at foresighting poten...
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Veröffentlicht in: | Journal of agricultural & environmental ethics 2020-12, Vol.33 (3-6), p.549-569 |
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Sprache: | eng |
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Zusammenfassung: | The use of virtual fencing (VF) in pasture-grazed farm systems is currently close to commercial reality but there are no studies applying the principles of responsible research and innovation, such as foresighting, to this technology. This paper reports results of a study aimed at foresighting potential implications associated with virtual fencing of cattle. A Delphi method was used to survey the opinions of farming practitioners and researchers, using pasture-grazed cattle farming in New Zealand as a case study. The key benefits were identified as environmental protection, improved feed allocation, access to previously unavailable grazing areas, labour savings and individual animal management. The five most important potential barriers identified were device reliability, farmer perception of a value proposition, ethical issues related to community perception of negative animal welfare, lack of feed budgeting skills of farmers, and excessive training time. We suggest that more knowledge is needed on ethical issues associated with VF, including understanding public opinions of such technology developments. We suggest that development and use of VF has been focussed primarily on technical features and user benefits and needs to include consideration of wider socio-ethical principles to ensure responsible innovation processes. The findings from this study will aid focussed research and development to incorporate ethically acceptable development alongside technical factors. |
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ISSN: | 1187-7863 1573-322X |
DOI: | 10.1007/s10806-020-09838-9 |