陷入山崩?探究对大数据的日益关注对管理学理论发展的利弊得失

IF 7 1区 管理学 Q1 BUSINESS
Caroline Gatrell
{"title":"陷入山崩?探究对大数据的日益关注对管理学理论发展的利弊得失","authors":"Caroline Gatrell","doi":"10.1111/joms.13058","DOIUrl":null,"url":null,"abstract":"<p>The author teams in this Point-Counterpoint (PCP) put forward contrasting views regarding the benefits – or otherwise – of using commercially generated corporate ‘big data’ algorithms to inform scholarly research. In this editorial, I reflect on the lines of reasoning for, and against, whether such data offers a reliable means of building new theory. Are academics who refuse to mine and analyse corporately owned big data taking sensible steps to manage scholarly integrity? Or are they Luddites? I invite readers to consider these timely and provocative PCP articles and to consider the implications, for management studies, of the key arguments presented.</p>","PeriodicalId":48445,"journal":{"name":"Journal of Management Studies","volume":"61 6","pages":"2719-2723"},"PeriodicalIF":7.0000,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joms.13058","citationCount":"0","resultStr":"{\"title\":\"Caught in a Landslide? Exploring how Far the Increasing Focus on Big Data Benefits or Damages Theoretical Development in Management Studies\",\"authors\":\"Caroline Gatrell\",\"doi\":\"10.1111/joms.13058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The author teams in this Point-Counterpoint (PCP) put forward contrasting views regarding the benefits – or otherwise – of using commercially generated corporate ‘big data’ algorithms to inform scholarly research. In this editorial, I reflect on the lines of reasoning for, and against, whether such data offers a reliable means of building new theory. Are academics who refuse to mine and analyse corporately owned big data taking sensible steps to manage scholarly integrity? Or are they Luddites? I invite readers to consider these timely and provocative PCP articles and to consider the implications, for management studies, of the key arguments presented.</p>\",\"PeriodicalId\":48445,\"journal\":{\"name\":\"Journal of Management Studies\",\"volume\":\"61 6\",\"pages\":\"2719-2723\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joms.13058\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Management Studies\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/joms.13058\",\"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 Management Studies","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/joms.13058","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

在这篇 "观点-反驳"(PCP)中,作者团队就使用商业生成的企业 "大数据 "算法为学术研究提供信息的好处(或坏处)提出了截然不同的观点。在这篇社论中,我将从正反两方面反思这些数据是否是构建新理论的可靠手段。拒绝挖掘和分析企业拥有的大数据的学者是在采取明智的措施管理学术诚信?还是他们是鲁德分子?我邀请读者考虑这些及时的、具有启发性的PCP文章,并思考其中提出的关键论点对管理研究的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Caught in a Landslide? Exploring how Far the Increasing Focus on Big Data Benefits or Damages Theoretical Development in Management Studies

The author teams in this Point-Counterpoint (PCP) put forward contrasting views regarding the benefits – or otherwise – of using commercially generated corporate ‘big data’ algorithms to inform scholarly research. In this editorial, I reflect on the lines of reasoning for, and against, whether such data offers a reliable means of building new theory. Are academics who refuse to mine and analyse corporately owned big data taking sensible steps to manage scholarly integrity? Or are they Luddites? I invite readers to consider these timely and provocative PCP articles and to consider the implications, for management studies, of the key arguments presented.

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
16.40
自引率
5.70%
发文量
99
期刊介绍: The Journal of Management Studies is a prestigious publication that specializes in multidisciplinary research in the field of business and management. With a rich history of excellence, we are dedicated to publishing innovative articles that contribute to the advancement of management and organization studies. Our journal welcomes empirical and conceptual contributions that are relevant to various areas including organization theory, organizational behavior, human resource management, strategy, international business, entrepreneurship, innovation, and critical management studies. We embrace diversity and are open to a wide range of methodological approaches and philosophical perspectives.
×
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:481959085
Book学术官方微信