Skip to main content
SpringerLink
Log in

The Future Use of LowCode/NoCode Platforms by Knowledge Workers – An Acceptance Study

  • Conference paper
  • First Online:
Knowledge Management in Organizations (KMO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1027))

Included in the following conference series:

Abstract

Knowledge Workers have to deal with lots of different information systems to support daily work. This assumption leads to massive gaps in companies based on the complexity of legacy systems on one hand side and the development of the business processes on the other hand side. Many knowledge workers build their own shadow IT to get efficient process support without thinking about compliance, security, and scalability. One possible solution to deactivate this situation might be the idea of LowCode/NoCode platforms. The question is: Will knowledge workers be using this technology or are they not accepting the new trend? Therefore, the authors conducted a quantitative study based on an online questionnaire (N = 106) to check the acceptance of this upcoming technology for companies in the DACH region. The result of the study is a statement about the future willingness to use.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Maier, R., Hädrich, T., Peinl, R.: Enterprise Knowledge Infrastructures, 2nd edn. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-89768-2

    Book  Google Scholar 

  2. Maier, R.: Knowledge Management Systems: Information and Communication Technologies for Knowledge Management, 3rd edn. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-71408-8

    Book  Google Scholar 

  3. Satell, G.: The Future of Software is No-Code (2018). https://www.inc.com/greg-satell/how-no-code-platforms-are-disrupting-software.html. Accessed 15 Dec 2018

  4. Bloomberg, J.: The Low-Code/No-Code Movement: More Disruptive Than You Realize (2017). https://www.forbes.com/sites/jasonbloomberg/2017/07/20/the-low-codeno-code-movement-more-disruptive-than-you-realize/#16c5e355722a. Accessed 15 Dec 2018

  5. Opitz, N., Langkau, T.F., Schmidt, N.H., Kolbe, L.M.: Technology acceptance of cloud computing: empirical evidence from German IT departments. In: Sprague, R.H. (ed.) 2012 45th Hawaii International Conference on System Science: (HICSS); USA, 4–7 January 2012, pp. 1593–1602. IEEE, Piscataway (2012). https://doi.org/10.1109/HICSS.2012.557

  6. Davis, F.D.: A technology acceptance model for empirically testing new end-user information systems: theory and results. Massachusetts Institute of Technology (1985)

    Google Scholar 

  7. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319 (1989). https://doi.org/10.2307/249008

    Article  Google Scholar 

  8. Rosli, K., Yeow, P., Siew, E.-G.: Factors influencing audit technology acceptance by audit firms: a new I-TOE adoption framework. J. Acc. Auditing Res. Pract. 1–11 (2012). https://doi.org/10.5171/2012.876814

  9. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000). https://doi.org/10.1287/mnsc.46.2.186.11926

    Article  Google Scholar 

  10. Thompson, R.L., Higgins, C.A., Howell, J.M.: Personal computing: toward a conceptual model of utilization. MIS Q. 15(1), 125 (1991). https://doi.org/10.2307/249443

    Article  Google Scholar 

  11. Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991). https://doi.org/10.1287/isre.2.3.192

    Article  Google Scholar 

  12. Compeau, D.R., Higgins, C.A.: Computer self-efficacy: development of a measure and initial test. MIS Q. 19, 189–211 (1995)

    Article  Google Scholar 

  13. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425 (2003). https://doi.org/10.2307/30036540

    Article  Google Scholar 

  14. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989). https://doi.org/10.1287/mnsc.35.8.982

    Article  Google Scholar 

  15. Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995). https://doi.org/10.1287/isre.6.2.144

    Article  Google Scholar 

  16. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace1. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992). https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

    Article  Google Scholar 

  17. Kelman, H.C.: Compliance, identification, and internalization three processes of attitude change. J. Conflict Resolut. 2(1), 51–60 (1958)

    Article  MathSciNet  Google Scholar 

  18. Reinhardt, W., Schmidt, B., Sloep, P., Drachsler, H.: Knowledge worker roles and actions – results of two empirical studies. Knowl. Process Manage. 18(3), 150–174 (2011). https://doi.org/10.1002/kpm.378

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Management Center Innsbruck, Management, Communication & IT, Innsbruck, Austria

    Christian Ploder, Reinhard Bernsteiner, Stephan Schlögl & Christoph Gschliesser

Authors
  1. Christian Ploder
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Reinhard Bernsteiner
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stephan Schlögl
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Christoph Gschliesser
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christian Ploder .

Editor information

Editors and Affiliations

  1. University of Staffordshire, Stoke-on-Trent, UK

    Lorna Uden

  2. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

  3. University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado

Appendix

Appendix

Given are the H1–H10 used for the model shown in Fig. 1:

Fig. 1.
figure 1

TAM Model with the suggested correlations based on H1–H10

Full size image
Fig. 2.
figure 2

Regression Results TAM2

Full size image

  • Hypothesis 1: Perceived Usefulness will have a positive effect on the Intention to Use.

  • Hypothesis 2: Perceived Ease of Use will have a positive effect on the Intention to Use.

  • Hypothesis 3: Perceived Ease of Use will have a positive effect on Perceived Usefulness.

  • Hypothesis 4a: Subjective Norm will have no significant effect on the Intention to Use when usage is perceived to be voluntary.

  • Hypothesis 4b: Subjective Norm will have a positive direct effect on Intention to Use when usage is perceived to be mandatory.

  • Hypothesis 5a: Subjective Norm will have a positive effect on Perceived Usefulness.

  • Hypothesis 5b: The positive effect of Subjective Norm on Perceived Usefulness will attenuate with increased experience.

  • Hypothesis 6: Subjective Norm will have a positive effect on Image.

  • Hypothesis 7: Image will have a positive effect on Perceived Usefulness.

  • Hypothesis 8: Job Relevance will have a positive effect on Perceived Usefulness.

  • Hypothesis 9: Output Quality will have a positive effect on Perceived Usefulness.

  • Hypothesis 10: Results Demonstrability will have a positive effect on Perceived Usefulness.

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ploder, C., Bernsteiner, R., Schlögl, S., Gschliesser, C. (2019). The Future Use of LowCode/NoCode Platforms by Knowledge Workers – An Acceptance Study. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21451-7_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21450-0

  • Online ISBN: 978-3-030-21451-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation