{"title":"DATA MANAGEMENT IN INDUSTRIAL COMPANIES: THE CASE OF AUSTRIA","authors":"Wallner Martin, Peracek Tomas","doi":"10.24874/ijqr17.03-14","DOIUrl":null,"url":null,"abstract":": Data has become the most critical asset that companies have. Companies often lack the experience to generate the highest possible value from their data. Most current studies on this topic were not restricted to the participants' geographical location or industrial sector. The originality of this research is that a survey is sent to industrial companies in Austria solely. This article intends to answer the following research question: 'What is the current state regarding data management in Austrian industrial companies? It should start a discussion in the community if Austrian and European companies are behind their international competitors in company-wide data management. It should also give an overview of standardized KPIs, responsibilities, problems, data storage technology, and decision-making. While most industrial companies in Austria stated that their KPIs are standardized within the company and strategic decisions are based on data, Austrian companies lack behind their international competitors in terms of C-level positions for data management and a company-wide data management strategy.","PeriodicalId":45812,"journal":{"name":"International Journal for Quality Research","volume":"21 1","pages":"0"},"PeriodicalIF":1.2000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Quality Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24874/ijqr17.03-14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
: Data has become the most critical asset that companies have. Companies often lack the experience to generate the highest possible value from their data. Most current studies on this topic were not restricted to the participants' geographical location or industrial sector. The originality of this research is that a survey is sent to industrial companies in Austria solely. This article intends to answer the following research question: 'What is the current state regarding data management in Austrian industrial companies? It should start a discussion in the community if Austrian and European companies are behind their international competitors in company-wide data management. It should also give an overview of standardized KPIs, responsibilities, problems, data storage technology, and decision-making. While most industrial companies in Austria stated that their KPIs are standardized within the company and strategic decisions are based on data, Austrian companies lack behind their international competitors in terms of C-level positions for data management and a company-wide data management strategy.
期刊介绍:
International Journal for Quality Research examines new research and development at the quality. It provides a common forum for both frontline industrial management as well as pioneering academic research. The journal''s multidisciplinary approach draws from such fields as benchmarking, business excellence, e-quality, management systems, performance measurements and management, proces management and improvement, quality management, six sigma, supply chain management, quality and leadership, quality information systems, quality of life.