验证中小企业数据成熟度标准

Blaz Gasperlin
{"title":"验证中小企业数据成熟度标准","authors":"Blaz Gasperlin","doi":"10.18690/um.fov.6.2023.58","DOIUrl":null,"url":null,"abstract":"Data is a fundamental source for any business to operate and to develop. Inefficient data management can lead to lack or a flood of data and consequently non-optimal business decisions. This is particularly evident in small and medium-sized enterprises (SMEs), which often lag behind due to limited resources (financial, human, time, knowledge). To support SMEs in understanding how to manage and utilize data effectively we propose a data maturity assessment multiple-cirteria model. Important criteria were identified from the literature and have been validated through semi-structured interviews with seven Slovenian SMEs. The results suggest some new criteria to describe the data maturity, relevant to Slovenian SMEs.","PeriodicalId":504907,"journal":{"name":"36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of Data Maturity Criteria for Small and Medium-Sized Enterprises\",\"authors\":\"Blaz Gasperlin\",\"doi\":\"10.18690/um.fov.6.2023.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data is a fundamental source for any business to operate and to develop. Inefficient data management can lead to lack or a flood of data and consequently non-optimal business decisions. This is particularly evident in small and medium-sized enterprises (SMEs), which often lag behind due to limited resources (financial, human, time, knowledge). To support SMEs in understanding how to manage and utilize data effectively we propose a data maturity assessment multiple-cirteria model. Important criteria were identified from the literature and have been validated through semi-structured interviews with seven Slovenian SMEs. The results suggest some new criteria to describe the data maturity, relevant to Slovenian SMEs.\",\"PeriodicalId\":504907,\"journal\":{\"name\":\"36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18690/um.fov.6.2023.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18690/um.fov.6.2023.58","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

数据是任何企业运营和发展的基本来源。数据管理效率低下会导致数据匮乏或泛滥,进而无法做出最佳的业务决策。这一点在中小型企业(SMEs)中尤为明显,这些企业往往由于资源(财力、人力、时间和知识)有限而落后。为了帮助中小企业了解如何有效地管理和利用数据,我们提出了一个数据成熟度评估多圈模型。我们从文献中确定了重要标准,并通过对斯洛文尼亚七家中小企业进行半结构化访谈进行了验证。结果提出了一些描述数据成熟度的新标准,这些标准与斯洛文尼亚中小型企业相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of Data Maturity Criteria for Small and Medium-Sized Enterprises
Data is a fundamental source for any business to operate and to develop. Inefficient data management can lead to lack or a flood of data and consequently non-optimal business decisions. This is particularly evident in small and medium-sized enterprises (SMEs), which often lag behind due to limited resources (financial, human, time, knowledge). To support SMEs in understanding how to manage and utilize data effectively we propose a data maturity assessment multiple-cirteria model. Important criteria were identified from the literature and have been validated through semi-structured interviews with seven Slovenian SMEs. The results suggest some new criteria to describe the data maturity, relevant to Slovenian SMEs.
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
×
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