中小家族企业的人工智能:家族影响的实证研究。

P. Ulrich, Vanessa Frank, Ricardo Buettner
{"title":"中小家族企业的人工智能:家族影响的实证研究。","authors":"P. Ulrich, Vanessa Frank, Ricardo Buettner","doi":"10.22495/cgobrv7i1p7","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is one of the most important technologies of the future (Crew, 2020). So far, however, AI has been insufficiently deployed. This applies not only to family businesses, but especially to them. In terms of decision-making, these companies have a number of specific characteristics which mean that they find AI less relevant and may also be skeptical. The article discusses specifics of AI use in family businesses on the basis of a German empirical study. The paper shows that family businesses use AI less frequently and are also less open to the technology than non-family businesses. Socioemotional wealth (SEW) (Gómez-Mejia et al., 2007) serves as the theoretical basis. Based on the SEW, it is argued that although family businesses are aware of the need to apply new theories, they have so far underestimated the potentials and tend to be rather skeptical about applying these technologies. This view is supported by the empirical study. In addition, some differences between small and medium-sized enterprises (SMEs) and large companies are also discussed in the paper.","PeriodicalId":244517,"journal":{"name":"Corporate Governance and Organizational Behavior Review","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Artificial intelligence in small and medium-sized family firms: An empirical study on the impact of family influence.\",\"authors\":\"P. Ulrich, Vanessa Frank, Ricardo Buettner\",\"doi\":\"10.22495/cgobrv7i1p7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) is one of the most important technologies of the future (Crew, 2020). So far, however, AI has been insufficiently deployed. This applies not only to family businesses, but especially to them. In terms of decision-making, these companies have a number of specific characteristics which mean that they find AI less relevant and may also be skeptical. The article discusses specifics of AI use in family businesses on the basis of a German empirical study. The paper shows that family businesses use AI less frequently and are also less open to the technology than non-family businesses. Socioemotional wealth (SEW) (Gómez-Mejia et al., 2007) serves as the theoretical basis. Based on the SEW, it is argued that although family businesses are aware of the need to apply new theories, they have so far underestimated the potentials and tend to be rather skeptical about applying these technologies. This view is supported by the empirical study. In addition, some differences between small and medium-sized enterprises (SMEs) and large companies are also discussed in the paper.\",\"PeriodicalId\":244517,\"journal\":{\"name\":\"Corporate Governance and Organizational Behavior Review\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Corporate Governance and Organizational Behavior Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22495/cgobrv7i1p7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corporate Governance and Organizational Behavior Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22495/cgobrv7i1p7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

人工智能(AI)是未来最重要的技术之一(Crew, 2020)。然而,到目前为止,人工智能还没有得到充分的部署。这不仅适用于家族企业,尤其适用于家族企业。在决策方面,这些公司有许多特定的特征,这意味着他们认为人工智能不太相关,也可能持怀疑态度。本文在德国实证研究的基础上,探讨了家族企业中人工智能使用的具体情况。该论文表明,与非家族企业相比,家族企业使用人工智能的频率较低,对该技术的开放程度也较低。社会情感财富(SEW) (Gómez-Mejia et al., 2007)作为理论基础。在此基础上,本文认为,尽管家族企业意识到应用新理论的必要性,但迄今为止,他们低估了这些技术的潜力,并倾向于对这些技术的应用持怀疑态度。这一观点得到了实证研究的支持。此外,本文还讨论了中小企业与大企业之间的一些差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in small and medium-sized family firms: An empirical study on the impact of family influence.
Artificial intelligence (AI) is one of the most important technologies of the future (Crew, 2020). So far, however, AI has been insufficiently deployed. This applies not only to family businesses, but especially to them. In terms of decision-making, these companies have a number of specific characteristics which mean that they find AI less relevant and may also be skeptical. The article discusses specifics of AI use in family businesses on the basis of a German empirical study. The paper shows that family businesses use AI less frequently and are also less open to the technology than non-family businesses. Socioemotional wealth (SEW) (Gómez-Mejia et al., 2007) serves as the theoretical basis. Based on the SEW, it is argued that although family businesses are aware of the need to apply new theories, they have so far underestimated the potentials and tend to be rather skeptical about applying these technologies. This view is supported by the empirical study. In addition, some differences between small and medium-sized enterprises (SMEs) and large companies are also discussed in the paper.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信