Signaling competence of agricultural businesses through social media presence to attract gen Z

Anggraeni Pranandari, Widya Paramita
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Abstract

The lack of interest for young generations in working in the agricultural sector has been threatening the sustainability of agriculture and food provision. One of the reasons is the low competence stereotype assigned by young people to agricultural jobs, as the job in this sector requires no specific skills, a minimum educational background, is associated with old people, and is not prestigious. Based upon the stereotype content model, this research aims to examine whether the use of social media for agricultural businesses can increase their attractiveness for the younger generation through an improved competence stereotype. An online survey was distributed to Indonesian members of Generation Z who were aware of the presence of agricultural businesses in their country. About 376 data units were collected and analyzed using the moderated mediation model in Hayes' PROCESS Macro. The findings indicate that the use of social media improves the perceived competence of an agricultural business, subsequently fostering an intention among Generation Z members to apply for jobs in such businesses. Although the moderating role of self-efficacy is not significant, for individuals with low (high) self-efficacy, the adoption of social media decreases (increases) their intention to apply for jobs in the agricultural sector. Therefore, social media adoption has the potential to filter younger people who are talented and capable of working in agricultural businesses.
通过社交媒体展示农业企业的竞争力,吸引Z世代
年轻一代对在农业部门工作缺乏兴趣一直威胁着农业和粮食供应的可持续性。其中一个原因是年轻人对农业工作的低能力刻板印象,因为该部门的工作不需要特定技能,最低教育背景,与老年人有关,而且没有声望。基于刻板印象内容模型,本研究旨在检验农业企业使用社交媒体是否可以通过改善能力刻板印象来增加其对年轻一代的吸引力。一份在线调查分发给了印尼的Z世代成员,他们知道自己国家存在农业企业。采用Hayes' s PROCESS Macro中的调节中介模型对376个数据单元进行了分析。研究结果表明,社交媒体的使用提高了农业企业的感知能力,从而培养了Z世代成员申请此类企业工作的意愿。虽然自我效能感的调节作用不显著,但对于低(高)自我效能感的个体,社交媒体的使用降低(增加)了他们申请农业部门工作的意愿。因此,社交媒体的采用有可能过滤有才华和有能力在农业企业工作的年轻人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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