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Business Performance Measurements in Asset Management with the Support of Big Data Technologies
Linnaeus University, Faculty of Technology, Department of Informatics. (Informatics)ORCID iD: 0000-0001-7048-8089
Indian Institute of Technology Delhi, India.
VTT Technical Research Centre of Finland, Finland.
University of Sunderland, UK.
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2017 (English)In: Management Systems in Production Engineering, E-ISSN 2450-5781, Vol. 25, no 3, p. 143-149Article in journal (Refereed) Published
Abstract [en]

The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

Place, publisher, year, edition, pages
De Gruyter Open, 2017. Vol. 25, no 3, p. 143-149
Keyword [en]
business performance measurements, asset management, big data technologies
National Category
Communication Systems Computer Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-68666DOI: 10.1515/mspe-2017-0021ISI: 000408931800001OAI: oai:DiVA.org:lnu-68666DiVA, id: diva2:1155863
Available from: 2017-11-09 Created: 2017-11-09 Last updated: 2018-04-04Bibliographically approved

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Campos, Jaime

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