供应链组织中的分析能力与企业绩效:员工分析技能的作用

Samira Farivar, A. Golmohammadi, Alejandro Ramirez
{"title":"供应链组织中的分析能力与企业绩效:员工分析技能的作用","authors":"Samira Farivar, A. Golmohammadi, Alejandro Ramirez","doi":"10.3390/analytics1010001","DOIUrl":null,"url":null,"abstract":"Developing analytics capability has become one of the main priorities in organizations today. Despite the increasing use of analytics, the necessary conditions to obtain the expected benefits from such investment still need to be examined. Relying on information processing theory (OIPT), this study sheds some light on the requirements for properly utilizing analytics to receive the potential benefits in supply chain firms. Specifically, we study the role of supply chain process integration in developing analytics capability, and we further examine the role of analytics capability and employees’ analytics skills in improving firm performance. Survey data collected from 240 supply chain top- and middle-level managers show that supply chain process integration enhances firms’ analytics capability. However, analytics capability alone is not sufficient in improving firm performance; it must be complemented with employees’ analytics skills. These findings extend the current literature on supply chain analytics and provide guidance and insights to supply chain managers for their analytics capability investments.","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"112 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analytics Capability and Firm Performance in Supply Chain Organizations: The Role of Employees’ Analytics Skills\",\"authors\":\"Samira Farivar, A. Golmohammadi, Alejandro Ramirez\",\"doi\":\"10.3390/analytics1010001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing analytics capability has become one of the main priorities in organizations today. Despite the increasing use of analytics, the necessary conditions to obtain the expected benefits from such investment still need to be examined. Relying on information processing theory (OIPT), this study sheds some light on the requirements for properly utilizing analytics to receive the potential benefits in supply chain firms. Specifically, we study the role of supply chain process integration in developing analytics capability, and we further examine the role of analytics capability and employees’ analytics skills in improving firm performance. Survey data collected from 240 supply chain top- and middle-level managers show that supply chain process integration enhances firms’ analytics capability. However, analytics capability alone is not sufficient in improving firm performance; it must be complemented with employees’ analytics skills. These findings extend the current literature on supply chain analytics and provide guidance and insights to supply chain managers for their analytics capability investments.\",\"PeriodicalId\":93078,\"journal\":{\"name\":\"Big data analytics\",\"volume\":\"112 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Big data analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/analytics1010001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big data analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/analytics1010001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

开发分析能力已成为当今组织的主要优先事项之一。尽管越来越多地使用分析,但仍然需要审查从这种投资中获得预期收益的必要条件。依靠信息处理理论(OIPT),本研究揭示了供应链企业正确利用分析以获得潜在利益的要求。具体而言,我们研究了供应链流程集成在发展分析能力中的作用,并进一步研究了分析能力和员工分析技能在提高公司绩效中的作用。从240位供应链高层和中层管理人员中收集的调查数据表明,供应链流程集成增强了企业的分析能力。然而,分析能力本身并不足以改善企业绩效;它必须与员工的分析技能相辅相成。这些发现扩展了供应链分析的现有文献,并为供应链管理人员的分析能力投资提供了指导和见解。
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
Analytics Capability and Firm Performance in Supply Chain Organizations: The Role of Employees’ Analytics Skills
Developing analytics capability has become one of the main priorities in organizations today. Despite the increasing use of analytics, the necessary conditions to obtain the expected benefits from such investment still need to be examined. Relying on information processing theory (OIPT), this study sheds some light on the requirements for properly utilizing analytics to receive the potential benefits in supply chain firms. Specifically, we study the role of supply chain process integration in developing analytics capability, and we further examine the role of analytics capability and employees’ analytics skills in improving firm performance. Survey data collected from 240 supply chain top- and middle-level managers show that supply chain process integration enhances firms’ analytics capability. However, analytics capability alone is not sufficient in improving firm performance; it must be complemented with employees’ analytics skills. These findings extend the current literature on supply chain analytics and provide guidance and insights to supply chain managers for their analytics capability investments.
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
自引率
0.00%
发文量
0
审稿时长
5 weeks
期刊最新文献
A Comparative Analysis of VirLock and Bacteriophage ϕ6 through the Lens of Game Theory Can Oral Grades Predict Final Examination Scores? Case Study in a Higher Education Military Academy Relating the Ramsay Quotient Model to the Classical D-Scoring Rule An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market A Novel Curve Clustering Method for Functional Data: Applications to COVID-19 and Financial Data
×
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