Skip to main content

A Classification of Digital-Oriented Work Practices

  • Conference paper
  • First Online:
Business Process Management Workshops (BPM 2020)

Abstract

Digital innovation (DI) profits from new IT opportunities to affect the internal and external interactions of organizations. This impact is also present on business process management (BPM), which is an important managerial approach, resulting in digital process innovation projects to acquire more reliable business processes for all stakeholders. While most studies focus on the innovation outcome of better serving end customers, this study takes the perspective of employees who are crucial agents for executing and digitalizing work. Based on a representative European dataset, we statistically investigated current work practices related to DI and BPM, and linked them to work satisfaction. Our classification presents five types of current digital-oriented work practices, which we translated into a gradual adoption model. Remarkably, the more advanced groups of digital workers also had a lower work satisfaction. We encourage organizations to launch efforts for affecting employees’ intrinsic and extrinsic motivation to help realize digital work more efficiently.

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

Access this chapter

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

References

  1. Clemons, E.K., Dewan, R.M., Kauffman, R.J., Weber, T.A.: Understanding the information-based transformation of strategy and society. J. Manag. Info. Sys. 34(2), 425–456 (2017)

    Article  Google Scholar 

  2. Pontieri, L.: Extending Process Mining techniques with additional AI capabilities to better exploit incomplete/low-level log data. In: AI4BPM Proceedings (2019).

    Google Scholar 

  3. Kirchmer, M., Franz, P., Gusain, R.: Digitalization for agile business process management. In: BPM-D Proceedings, London, Philadelphi (2018).

    Google Scholar 

  4. Huesig, S., Endres, H.: The role of functionality for the adoption of innovation management software by innovation managers. Eur. J. of Innov. Manag. 22(2), 302–314 (2018)

    Article  Google Scholar 

  5. vom Brocke, J., Zelt, S., Schmiedel, T.: On the role of context in business process management. Int. J. Info. Manag. 36(3), 486–495 (2016)

    Article  Google Scholar 

  6. Hussein, D.M.E-D.M., Taha, M.H.N., Khalifa, N.E.M.: A blockchain technology evolution between business process management (BPM) and Internet-of-Things (IoT). Int. J. Adv. Comp. Science and Applications, 9(8), 442–45, (2018).

    Google Scholar 

  7. Mendling, J., Weber, I., Van der Aalst, W., vom Brocke, J., Cabanillas, C., Daniel, F., Debois, S., Di Ciccio, C., Dumas, M., Dustdar, S., Gal, A., Garcia-Banuelos, L., Governatori, G., Hull, R., La Rosa, M.: Blochchains for business process management. ACM Trans. Manag. Info. Sys. 9(1), 1–16 (2018)

    Article  Google Scholar 

  8. Trkman, P., Mertens, W., Viaene, S., Gemmel, P.: From business process management to customer process management. BPM J. 21(2), 250–266 (2015)

    Article  Google Scholar 

  9. Mikalef, P., Krogstie, J.: Big Data Analytics as an Enabler of Process Innovation Capabilities: A Configurational Approach. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 426–441. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98648-7_25

    Chapter  Google Scholar 

  10. Schmiedel, T., vom Brocke, J.: Business Process Management: Potentials and Challenges of Driving Innovation. Springer, Cham (2014)

    Google Scholar 

  11. Van Looy, A.: A Quantitative Study of the Link Between Business Process Management and Digital Innovation. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNBIP, vol. 297, pp. 177–192. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65015-9_11

    Chapter  Google Scholar 

  12. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q 27(3), 425–478 (2003)

    Article  Google Scholar 

  13. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of BPM. Springer, Berlin (2018)

    Google Scholar 

  14. Hasan, Z., Hossain, M.S.: Improvement of effectiveness by applying PDCA Cycle or Kaizen. J. of Scientific Research 10(2), 159–173 (2018)

    Article  Google Scholar 

  15. Yousif, A.S.H., Najm, N.A., Al-Ensour, J.A.: Total quality management (TQM), organizational characteristics and competitive advantage. J. Econ. Financ. Studies 5(4), 12–23 (2017)

    Article  Google Scholar 

  16. Hammer, M., Champy, J.: Reengineering the Corporation. HarperCollins, NY (2003)

    Google Scholar 

  17. Davenport, T.: Process Innovation. Harvard Business School, Boston (1993)

    Google Scholar 

  18. Bronzo, M., de Resende, P.T.V., de Oliveira, M.P.V., McCormack, K.P.: Improving performance aligning business analytics with process orientation. Int. J. Inf. Manag. 33(2), 300–307 (2013)

    Article  Google Scholar 

  19. Dijkman, R., Lammers, S.V., de Jong, A.: Properties that influence BPM maturity and its effect on organizational performance, Info. Sys., Front., 18(4), 717–734 (2016).

    Google Scholar 

  20. McCormack, K., Johnson, W.C.: Business process orientation. St. Lucie, Florida (2001)

    Book  Google Scholar 

  21. Hammer, M.: The process audit. Harvard Bus. Rev 85(4), 111–123 (2007)

    Google Scholar 

  22. De Bruin, T., Rosemann, M.: Using the Delphi study technique to identify BPM capability areas. ACIS Proceedings 42, 642–653 (2007)

    Google Scholar 

  23. Bucher, T., Winter, R.: Taxonomy of business process management approaches. In: vom Brocke, J., Rosemann, M. (Eds.). Handbook on BPM 2 (pp. 93–114). Berlin: Springer (2010).

    Google Scholar 

  24. vom Brocke, J., Rosemann, M.: Handbook On Business Process Management 2. Springer, Berlin (2010)

    Book  Google Scholar 

  25. Adomavicius, G., Bockstedt, J.C., Gupta, A., Kauffman, R.J.: Making sense of technology trends in the information technology landscape. MIS Q 32(4), 779–809 (2008)

    Article  Google Scholar 

  26. Yoo, Y., Lyytinen, K.J., Boland, R.J., Berente, N.: The next wave of digital innovation, Accesssed 1/2020: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1622170 (2010).

  27. Chavan, M.: The balanced scorecard: a new challenge. J. Manag. Dev. 28(5), 393–406 (2009)

    Article  Google Scholar 

  28. Kane, G.C., Palmer, D., Philips, A.N., Kiron, D.: Is your business ready for a digital future? MIT Sloan Manag. Rev. 56(4), 37–44 (2015)

    Google Scholar 

  29. Mithas, S., Tafti, A., Mitchell, W.: How a firm’s competitive environment and digital strategic posture influence digital business strategy. MIS Q. 37(2), 511–536 (2013)

    Article  Google Scholar 

  30. Attaran, M., Attaran, S., Kirkland, D.: The need for digital workplace. Intern. J. Enterpr. Inform. Sys. 15(1), 1–23 (2019)

    Article  Google Scholar 

  31. Paunov, C., Planes-Satorra, S.: How are digital technologies changing innovation, OECD Science, Technology and Industry Policy (74) (2019).

    Google Scholar 

  32. Trkman, P.: The critical success factors of BPM. Int. J. Inf. Manag. 30(2), 125–134 (2010)

    Article  Google Scholar 

  33. von Rosing, M., Scheer, A.-W., von Scheel, H.: The Complete Business Process Handbook. Morgan Kaufmann, Waltham, MA (2015)

    Google Scholar 

  34. Everitt, B.S., Landau, S., Leese, M., Stahl, D.: Cluster Analysis. Wiley, London (2011)

    Book  Google Scholar 

  35. Klecka, W.: Discriminant analysis. Sage Publications, California (1980)

    Book  Google Scholar 

  36. Fiss, P.C.: A set-theorectic approach to organizational configurations. Acad. of Manag. 32(4), 1180–1198 (2007)

    Google Scholar 

  37. Shingala, M.C., Rajyaguru, A.: Comparison of post hoc tests for unequal variance. Int. J. of New Techn. in Science and Engin., 2(5), 22–33 (2015).

    Google Scholar 

  38. Box, G.E.: Non-normality and tests on variances. Biometrica 40(3–4), 318–335 (1953)

    Google Scholar 

  39. Vickers, A.J.: Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data. BMC Med. Res. Methodol. 5(35), 1–2 (2005)

    Google Scholar 

  40. Röglinger, M., Pöppelbuss, J., Becker, J.: Maturity Models in Business Process Management. BPM Journal 18(2), 328–346 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Pooria Jafari or Amy Van Looy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jafari, P., Van Looy, A. (2020). A Classification of Digital-Oriented Work Practices. In: Del RĂ­o Ortega, A., Leopold, H., Santoro, F.M. (eds) Business Process Management Workshops. BPM 2020. Lecture Notes in Business Information Processing, vol 397. Springer, Cham. https://doi.org/10.1007/978-3-030-66498-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66498-5_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66497-8

  • Online ISBN: 978-3-030-66498-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics