Skip to main content
SpringerLink
Log in

Construct Hunting in GovTech Research: An Exploratory Data Analysis

  • Conference paper
  • First Online:
Electronic Government (EGOV 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14130))

Included in the following conference series:

  • 580 Accesses

Abstract

The concept of “GovTech” has emerged as a business-oriented model and practice for enabling the public sector to take advantage of digital solutions as service towards the citizen, while the private for-profit sector is responsible for innovation, development, and profitable maintenance of the GovTech services, hence making the whole area of solutions seemingly desirable to invest in.

However, the current literature on stakeholder views of the GovTech market remains rather generic, less connected to concrete examples of GovTech solutions as these are perceived within a given and delimited GovTech domain. The objective of this paper is to apply exploratory quantitative data analysis for phenomena detection and evaluation. We explore to what extent the constructs of the area actually are disparate and ill-suited to use for quantitative GovTech research, and find five factors showing a degree of mistrust between the public and private sector and prescribe further research into developing constructs that can cut across the research area, enabling for a build-up of a stronger theoretical base for tech business in the public-private markets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 22 October 2023

    A correction has been published.

Notes

  1. 1.

    https://projects2014-2020.interregeurope.eu/primaas/ (Retrieved 2023–03-28).

  2. 2.

    https://www.smartpls.com/ (accessed 2023-03-38).

References

  1. Alyavina, E., Nikitas, A., Njoya, E.T.: Mobility as a service (MaaS): a thematic map of challenges and opportunities. Res. Transp. Bus. Manag. 43, 100783 (2022)

    Google Scholar 

  2. Babones, S.: Interpretive quantitative methods for the social sciences. Sociology 50(3), 453–469 (2016)

    Article  Google Scholar 

  3. Badri, M.A., Alshare, K.: A path analytic model and measurement of the business value of e-government: an international perspective. Int. J. Inf. Manage. 28(6), 524–535 (2008)

    Article  Google Scholar 

  4. Benitez, J., Henselser, J., Castillo, A., Schuberth, F.: How to perform and report an impactful analysis using partial least squares: guidelines for confirmatory and explanatory IS research. Inf. Manag. 57(2), 103168 (2020)

    Article  Google Scholar 

  5. Bevir, M., Rhodes, R.A.W., Weller, P.: Traditions of governance: interpreting the changing role of the public sector. Public Adm. 81(1), 1–17 (2003)

    Article  Google Scholar 

  6. Beynon-Davies, P.: Models for e-government. Transf. Gov. People Process Policy 1(1), (2007)

    Google Scholar 

  7. Bharosa, N.: The rise of GovTech: Trojan horse or blessing in disguise? A research agenda. Government Information Quarterly 39(3), (2022)

    Google Scholar 

  8. Butler, L., Yigitcanltar, T., Paz, A.: Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: a systematic review of the literature. Cities 109, 103036 (2021)

    Article  Google Scholar 

  9. Casula, M., Rangarajan, N., Shields, P.: The potential of working hypotheses for deductive exploratory research. Qual. Quant. 55(5), 1703–1725 (2020). https://doi.org/10.1007/s11135-020-01072-9

    Article  Google Scholar 

  10. Dener, C., Nii-Aponsah, H., Ghunney, L.E., Johns, K.D.: GovTech Maturity Index: The State of Public Sector Digital Transformation. The World Bank, Washington DC (2021)

    Book  Google Scholar 

  11. Digital Journal: GovTech Market Size with Emerging Trends (2022). https://www.digitaljournal.com/pr/govtech-market-size-with-emerging-trends-2022-topkey-players-updates-business-growing-strategies-competitive-dynamics-industry-segmentation-and-forecast-to-2027. Accessed 27 Mar 2023

  12. Fabrigar, L.R., Wegener, D.T., MacCallum, R.C., Strahan, E.J.: Evaluating the use of exploratory factor analysis in psychological research. Psychol. Methods 4(3), 272–299 (1999)

    Article  Google Scholar 

  13. Fitzner, K.: Reliability and validity: a quick review. Diabetes Educ. 33(5), 775–780 (2007)

    Article  Google Scholar 

  14. Given, L.: The SAGE Encyclopedia of Qualitative Research Methods, pp. 465–467. SAGE Publications Inc., Thousand Oaks (2023)

    Google Scholar 

  15. Hair, J. F., Hult, T., M., Ringle, C. M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 1st ed. SAGE, California (2013)

    Google Scholar 

  16. Heeks, R., Bailur, S.: Analyzing e-government research: perspectives, philosophies, theories, methods, and practice. Gov. Inf. Q. 24(2), 243–265 (2007)

    Article  Google Scholar 

  17. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2014). https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  18. Holden, B.: Face Validity. In: Weiner, I.B., Craighead, W.E. (eds.) The Corsini Encyclopedia of Psychology, pp. 637–638. Wiley, Hoboken (2010)

    Google Scholar 

  19. Jebb, A.T., Parrigon, S., Woo, S.E.: Exploratory data analysis as a foundation of inductive research. Hum. Resour. Manag. Rev. 27(2), 265–276 (2017)

    Google Scholar 

  20. Karlsson, I., et al.: Development and implementation of mobility-as-a-service–a qualitative study of barriers and enabling factors. Transp. Res. Part A: Policy Pract. 131, 283–295 (2020)

    Google Scholar 

  21. Kattel, R., Mazzucato, M.: Mission-oriented innovation policy and dynamic capabilities in the public sector. Ind. Corp. Chang. 27(5), 787–801 (2018)

    Article  Google Scholar 

  22. Kuziemski, M., Mergel, I., Ulrich, P., Martinez, A.: GovTech practices in the EU. EUR 30985 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-47234-6, JRC128247 (2022). https://doi.org/10.2760/74735

  23. MaaSAlliance: Mobility as a Service? (2022). https://maas-alliance.eu/homepage/what-is-maas/. Accessed 27 Mar 2023

  24. Macedo, E., Cicarelli, G., Bandeira, J.M.: Insights from stakeholder’s perspectives on barriers and enablers for sustainable MaaS across heterogeneous European cities. Transp. Res. Part A (2023, forthcoming)

    Google Scholar 

  25. Nyhlén, S., Gidlund, K.L.: In conversation with digitalization: Myths, fiction or professional imagining? Information Polity 27(3), 331–341 (2022)

    Article  Google Scholar 

  26. PA Consulting: GovTech in the Nordic-Baltic region Part 1: The GovTech situation, challenges and recommendations. Nord 2021:023, Nordic Council of Ministers (2021)

    Google Scholar 

  27. Stebbins, R.A.: Exploratory Research in the Social Sciences. Sage, Thousand Oaks (2001)

    Book  Google Scholar 

  28. Sundgren, B.: What is a public information system? Int. J. Public Inf. Syst. 1(1), 81–99 (2005)

    Google Scholar 

  29. Velicer, W.F., Jackson, D.N.: Component analysis versus common factor analysis: some issues in selecting an appropriate procedure. Multivar. Behav. Res. 25(1), 1–28 (1990)

    Article  Google Scholar 

  30. Vutsova, A., Ignatova, O.: The role of public-private partnership for effective technology transfer. Appl. Technol. Innov. 10(3), 83–90 (2014)

    Article  Google Scholar 

  31. Watkins, M.W.: Exploratory factor analysis: a guide to best practice. J. Black Psychol. 44(3), 219–246 (2018)

    Article  Google Scholar 

  32. Wirtz, B.W., Daiser, P.: A meta-analysis of empirical e-government research and its future research implications. Int. Rev. Adm. Sci. 84(1), 144–163 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Swedish Defence Research Agency, 164 90, Stockholm, Sweden

    Mattias Svahn

  2. Department of Computer and Systems Sciences, Stockholm University, 16440, Kista, Sweden

    Aron Larsson

  3. Department of Communication, Quality Management and Information Systems, Mid Sweden University, 851 70, Sundsvall, Sweden

    Aron Larsson

  4. TEMA Centre for Mechanical Technology, University of Aveiro, 3810-193, Aveiro, Portugal

    Eloísa Macedo & Jorge Bandeira

  5. LASI - Intelligent Systems Associate Laboratory, Guimarães, Portugal

    Eloísa Macedo & Jorge Bandeira

Authors
  1. Mattias Svahn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aron Larsson
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eloísa Macedo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jorge Bandeira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aron Larsson .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Ida Lindgren

  2. Corvinus University of Budapest, Budapest, Hungary

    Csaba Csáki

  3. University of Macedonia, Thessaloniki, Greece

    Evangelos Kalampokis

  4. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  5. University for Continuing Education Krems, Krems an der Donau, Austria

    Gabriela Viale Pereira

  6. Vienna University of Economics and Business, Vienna, Austria

    Shefali Virkar

  7. University of Macedonia, Thessaloniki, Greece

    Efthimios Tambouris

  8. Delft University of Technology, Delft, The Netherlands

    Anneke Zuiderwijk

Rights and permissions

Reprints and permissions

Copyright information

© 2023 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Svahn, M., Larsson, A., Macedo, E., Bandeira, J. (2023). Construct Hunting in GovTech Research: An Exploratory Data Analysis. In: Lindgren, I., et al. Electronic Government. EGOV 2023. Lecture Notes in Computer Science, vol 14130. Springer, Cham. https://doi.org/10.1007/978-3-031-41138-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-41138-0_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41137-3

  • Online ISBN: 978-3-031-41138-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation