skip to main content
10.1145/3551504.3551552acmotherconferencesArticle/Chapter ViewAbstractPublication PagesceeegovConference Proceedingsconference-collections
research-article

Effect of Digitalisation on Business Performance of Companies in the Manufacturing Industry in Hungary

Authors Info & Claims
Published:25 October 2022Publication History

ABSTRACT

The manufacturing industry in Hungary is responsible for 24,3% of the GDP. In overall Hungarian companies’ labour productivity reaches only 70% of the EU average. This study shows that digitalisation may contribute to higher labour productivity. In this study a new index to measure digital business process integration (DBII) is introduced based on Porter's Value Chain model. Historic data from a questionnaire is used to categorize companies based on DBII. The association between DBII, organization IT capabilities and business performance indicators (labour productivity and profit per employee) is analysed with the help of cross tabulation and SPSS. It is also shown that higher DBII can be associated with higher labour productivity. Positive association between organization IT capabilities and labour productivity is also presented. A weaker but significant association between DBII and profit per employee suggests, that organizations still need to work out ways how digitalisation can help to harvest the gains from increased labour productivity.

References

  1. KSH. 2021. Helyzetkép az iparról, 2020. https://www.ksh.hu/docs/hun/xftp/idoszaki/jelipar/2020/index.html.Google ScholarGoogle Scholar
  2. MNB. 2020. Productivity Report, 2020 NovemberGoogle ScholarGoogle Scholar
  3. Seddon, P.B. 2005. Are ERP systems a source of competitive advantage? Strategic Change 14, 5, 283–293.Google ScholarGoogle ScholarCross RefCross Ref
  4. Hsu, P.F. 2013. Commodity or competitive advantage? Analysis of the ERP value paradox. Electronic Commerce Research and Applications 12, 6, 412–424Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Koch, C. 2002. The ABCs of ERP.Google ScholarGoogle Scholar
  6. Porter, M.E. 1998. Competitive Advantage Creating and Sustaining Superior Performance.Google ScholarGoogle Scholar
  7. Hitt, L.M., Wu, D.J., and Zhou, X. 2002. Investment in Enterprise Resource Planning: Business Impact and Productivity MeasuresGoogle ScholarGoogle Scholar
  8. Kroll, H., Horvat, D., and Jäger, A. 2018. Effects of Automatisation and Digitalisation on Manufacturing Companies’ Production Efficiency and Innovation Performance | Enhanced Reader. Fraunhofer ISI Discussion Papers Innovation Systems and Policy Analysis No. 58.Google ScholarGoogle Scholar
  9. Carr NG. 2003. IT doesn't matter. Harvard Business Review 81, 5, 41–49Google ScholarGoogle Scholar
  10. Carr NG. 2004. Does IT matter? Harvard Business School Press: Boston, MAGoogle ScholarGoogle Scholar

Index Terms

  1. Effect of Digitalisation on Business Performance of Companies in the Manufacturing Industry in Hungary
            Index terms have been assigned to the content through auto-classification.

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Other conferences
              CEEeGov '22: Proceedings of the Central and Eastern European eDem and eGov Days
              September 2022
              192 pages
              ISBN:9781450397667
              DOI:10.1145/3551504

              Copyright © 2022 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 25 October 2022

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article
              • Research
              • Refereed limited
            • Article Metrics

              • Downloads (Last 12 months)23
              • Downloads (Last 6 weeks)5

              Other Metrics

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader

            HTML Format

            View this article in HTML Format .

            View HTML Format