人工智能导向是否有助于提高运营效率?应急战略导向视角

IF 10.5 1区 管理学 Q1 BUSINESS Journal of Business Research Pub Date : 2024-09-28 DOI:10.1016/j.jbusres.2024.114994
Nengzhi(Chris) Yao , Junhong Bai , Zihao Yu , Qiaozhe Guo
{"title":"人工智能导向是否有助于提高运营效率?应急战略导向视角","authors":"Nengzhi(Chris) Yao ,&nbsp;Junhong Bai ,&nbsp;Zihao Yu ,&nbsp;Qiaozhe Guo","doi":"10.1016/j.jbusres.2024.114994","DOIUrl":null,"url":null,"abstract":"<div><div>Despite the importance of Artificial Intelligence (AI) in operations management, the relationship between AI orientation––the strategic direction towards the implementation and integration of AI into the organization––and operational efficiency remains unclear. Drawing upon a strategic orientation perspective, we propose that the relationship between AI orientation and operational efficiency is positive, but it is subject to the influences of market, industry and institutional environments. We analyzed a sample of 1597 A-share firms listed in Shanghai and Shenzhen Stock Exchanges in China from 2012 to 2020. We deployed fixed-effect ordinary least square regressions, as well as instrumental variable two-stage least squares (IV-2SLS) models. Our findings contribute to the literature on strategic orientation and operational improvement, and provide practical insights into whether and when firms should develop AI orientation to enhance operational efficiency.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"186 ","pages":"Article 114994"},"PeriodicalIF":10.5000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does AI orientation facilitate operational efficiency? A contingent strategic orientation perspective\",\"authors\":\"Nengzhi(Chris) Yao ,&nbsp;Junhong Bai ,&nbsp;Zihao Yu ,&nbsp;Qiaozhe Guo\",\"doi\":\"10.1016/j.jbusres.2024.114994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Despite the importance of Artificial Intelligence (AI) in operations management, the relationship between AI orientation––the strategic direction towards the implementation and integration of AI into the organization––and operational efficiency remains unclear. Drawing upon a strategic orientation perspective, we propose that the relationship between AI orientation and operational efficiency is positive, but it is subject to the influences of market, industry and institutional environments. We analyzed a sample of 1597 A-share firms listed in Shanghai and Shenzhen Stock Exchanges in China from 2012 to 2020. We deployed fixed-effect ordinary least square regressions, as well as instrumental variable two-stage least squares (IV-2SLS) models. Our findings contribute to the literature on strategic orientation and operational improvement, and provide practical insights into whether and when firms should develop AI orientation to enhance operational efficiency.</div></div>\",\"PeriodicalId\":15123,\"journal\":{\"name\":\"Journal of Business Research\",\"volume\":\"186 \",\"pages\":\"Article 114994\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Business Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0148296324004983\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296324004983","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

尽管人工智能(AI)在运营管理中非常重要,但人工智能导向(即实施人工智能并将其融入组织的战略方向)与运营效率之间的关系仍不明确。我们从战略导向的角度出发,提出人工智能导向与运营效率之间的关系是正向的,但会受到市场、行业和制度环境的影响。我们分析了 2012 年至 2020 年在中国上海和深圳证券交易所上市的 1597 家 A 股公司。我们采用了固定效应普通最小二乘法回归和工具变量两阶段最小二乘法(IV-2SLS)模型。我们的研究结果为有关战略导向和运营改进的文献做出了贡献,并为企业是否以及何时应该发展人工智能导向以提高运营效率提供了实用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Does AI orientation facilitate operational efficiency? A contingent strategic orientation perspective
Despite the importance of Artificial Intelligence (AI) in operations management, the relationship between AI orientation––the strategic direction towards the implementation and integration of AI into the organization––and operational efficiency remains unclear. Drawing upon a strategic orientation perspective, we propose that the relationship between AI orientation and operational efficiency is positive, but it is subject to the influences of market, industry and institutional environments. We analyzed a sample of 1597 A-share firms listed in Shanghai and Shenzhen Stock Exchanges in China from 2012 to 2020. We deployed fixed-effect ordinary least square regressions, as well as instrumental variable two-stage least squares (IV-2SLS) models. Our findings contribute to the literature on strategic orientation and operational improvement, and provide practical insights into whether and when firms should develop AI orientation to enhance operational efficiency.
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
20.30
自引率
10.60%
发文量
956
期刊介绍: The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.
期刊最新文献
Content dissimilarity and online review helpfulness: Contextual insights Editorial Board Preventing algorithm aversion: People are willing to use algorithms with a learning label Agility in marketing teams: An analysis of factors influencing the entry decision into a trendy social network Socio-politically silent brands: A double edged sword
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1