{"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}
引用次数: 0
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.