Department of Management

Big data in the Danish industry: application and value creation

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Documents

DOI

Purpose - The development within storage and processing technologies combined with the growing collection of data has created opportunities for companies to create value through the application of big data. The purpose of this paper is to focus on how small and medium-sized companies in Denmark are using big data to create value.

Design/methodology/approach - The research is based on a literature review and on data collected from 457 Danish companies through an online survey. The paper looks at big data from the perspective of SMEs in order to answer the following research question: to what extent does the application of big data create value for small and medium-sized companies.

Findings - The findings show clear links between the application of big data and value creation. The analysis also shows that the value created through big data does not arise from data or technology alone but is dependent on the organizational context and managerial action. A holistic perspective on big data is advocated, not only focusing on the capture, storage, and analysis of data, but also leadership through goal setting and alignment of business strategies and goals, IT capabilities, and analytical skills. Managers are advised to communicate the business value of big data, adapt business processes to data-driven business opportunities, and in general act on the basis of data.

Originality/value - The paper provides researchers and practitioners with empirically based insights into how the application of big data creates value for SMEs.

Original languageEnglish
JournalBusiness Process Management Journal
Volume23
Issue3
Pages (from-to)645-670
Number of pages26
ISSN1463-7154
DOIs
Publication statusPublished - 2017

    Research areas

  • Big data, Process management, Value analysis, ANALYTICS, CHALLENGES, MANAGEMENT, SCIENCE, CHAIN

See relations at Aarhus University Citationformats

Download statistics

No data available

ID: 121468189