Perception and acceptance of robots in dairy farming—a cluster analysis of German citizens

Author:

Langer GretaORCID,Kühl Sarah

Abstract

AbstractSocietal attitude acceptance can influence the digital transformation in agriculture. Digital technologies, such as robots in dairy farming, can lead to more sustainable, animal welfare-friendly and consumer-oriented milk production. This study used the example of the milking and feeding robots to investigate whether society accepts the use of robots in dairy farming and whether there are differences in society based on perceived risks and opportunities of digitalization in dairy farming and acceptance. To this end, an online-based study was conducted with a total of 1007 citizens in Germany. Overall, the respondents in this study suspect that the use of robots in dairy farming is associated with various risks but also with opportunities for society and for farmers in particular. However, these attitudes are quite heterogeneous. Four clusters could be identified: “proponents of robots”, “indifferent citizens”, “skeptical citizens”, and “critical supporters of robots”. Proponents of robots see only opportunities and little risks, whereas the critical citizens perceive not only opportunities but also many risks of using robots in dairy farming. The indifferent citizens show a rather indifferent attitude, in contrast to the skeptical citizens, who reject the opportunities at the societal level, while they agree with the opportunities of robots for farmers. This research contributes to understanding societal attitudinal acceptance and highlights differences in society that can help inform future decisions about the development and adoption of robots in dairy farming.

Funder

Landwirtschaftliche Rentenbank

Georg-August-Universität Göttingen

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3