{"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}
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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.
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验证中小企业数据成熟度标准
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。
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