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Data Science or Process Science? How to Promote the Next Digital Transformation in the Public Sector

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12850)

Abstract

As citizen orientation and public value creation are more in the focus, how do we set priorities for the upcoming digital transformation in the public sector? Distinguishing data science and process science as paradigms that promote different directions for the transformation, this research seeks to improve the transparency of how IT-related decisions are directing projects and resources and thus promoting directions of public value production and delivery. Digital government research along this line may help constituents, IT experts and other stakeholders to engage in the needed discourse about the (not) wanted future of government performance and related technology usage.

Keywords

  • Data science
  • Process science
  • Digital transformation
  • Public sector
  • Public value
  • Digital government research
  • Paradigm

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References

  1. Alford, J., Yates, S.: Mapping public value processes. Int. J. Public Sector Manage. 27(4), 334–352 (2014)

    CrossRef  Google Scholar 

  2. BearingPoint: The three waves of digitalization. https://www.bearingpoint.com/en-fi/blog/three-waves-of-digitalization. Accessed 05 Mar 2021

  3. Cao, L.: Data science: a comprehensive overview. ACM Comput. Surv. (CSUR) 50(3), 1–42 (2017)

    CrossRef  Google Scholar 

  4. Deloitte: Digital Government Transformation. https://www2.deloitte.com/global/en/pages/public-sector/articles/digital-government-transformation.html. Accessed 05 Mar 2021

  5. Dennis, A.R.: Relevance in information systems research. Commun. Assoc. Inf. Syst. 6, Article 10 (2001)

    Google Scholar 

  6. Duneja, R., Lasku, A., Pichai, H., Kilefors, P.: Digitalization of government services (2018). https://www.adlittle.com/en/Government_Digitalization. Accessed 21 Feb 2021

  7. Eggers, W., Bellman, J.: The Journey to Government’s Digital Transformation. Deloitte University Press, UK (2015)

    Google Scholar 

  8. Express Computer: Digitalization wave to transform CIOs role completely: Gartner. https://www.expresscomputer.in/news/digitalization-wave-to-transform-cios-role-completely-gartner/22478/. Accessed 21 Feb 2021

  9. Gal, A., Senderovich, A.: Process minding: closing the big data gap. In: Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.) BPM 2020. LNCS, vol. 12168, pp. 3–16. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58666-9_1

    CrossRef  Google Scholar 

  10. Gong, Y., Yang, J., Shi, X.: Towards a comprehensive understanding of digital transformation in government: analysis of flexibility and enterprise architecture. Gov. Inf. Q. 37(3), 101487 (2020)

    Google Scholar 

  11. Grisold, T., Wurm, B., Mendling, J., Vom Brocke, J.: Using process mining to support theorizing about change in organizations. In: Proceedings 53rd HICSS. IEEE (2020)

    Google Scholar 

  12. Hassan, N.R., Mingers, J.: Reinterpreting the Kuhnian paradigm in information systems. J. Assoc. Inf. Syst. 19(7), 568–599 (2018)

    Google Scholar 

  13. Kirchmer, M., Franz, P., Gusain, R.: From strategy to process improvement portfolios and value realization. In: Shishkov, B. (ed.) BMSD 2018. LNBIP, vol. 319, pp. 32–55. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94214-8_3

    CrossRef  Google Scholar 

  14. KPMG: Enabling the Digital Enterprise: A CIO Checklist for Digital Transformation. https://assets.kpmg/content/dam/kpmg/pdf/2016/04/digital-enterprise-cio-checklist.pdf. Accessed 21 Feb 2021

  15. Kuhn, T.: The Structure of Scientific Revolutions, 2nd edn. University of Chicago Press, Chicago (1970)

    Google Scholar 

  16. Lee, J.K., Park, J., Gregor, Sh., Yoon, V.: Axiomatic theories and improving the relevance of information systems research. Inf. Syst. Res. (2021, published online in Articles in Advance 01 Feb 2021).

    Google Scholar 

  17. Lindgren, I., Madsen, C.Ø., Hofmann, S., Melin, U.: Close encounters of the digital kind: a research agenda for the digitalization of public services. Gov. Inf. Q. 36(3), 427–436 (2019)

    CrossRef  Google Scholar 

  18. Lynch, C.: Jim Gray’s fourth paradigm and the construction of the scientific record. In: Hey, T., Tansley, S., Tolle, K. (eds.) The Fourth Paradigm: Data-intensive Scientific Discovery, pp. 177–184. Microsoft Research, Redmond (2009)

    Google Scholar 

  19. Majchrzak, A., Markus, M.L., Wareham, J.: Designing for digital transformation: lessons for information systems research from the study of ICT and societal challenges. Manage. Inf. Syst. Q. 40(2), 267–277 (2016)

    CrossRef  Google Scholar 

  20. Mendling, J.: From scientific process management to process science: towards an empirical research agenda for business process management. In: Hochreiner, Ch., Schulte, S. (eds.) Proceedings 8th ZEUS Workshop, Vienna, Austria, pp. 1–4 (2016)

    Google Scholar 

  21. Mergel, I., Edelmann, N., Haug, N.: Defining digital transformation: results from expert interviews. Gov. Inf. Q. 36(4), 101385 (2019)

    Google Scholar 

  22. Mergel, I., Kattel, R., Lember, V., McBride, K.: Citizen-oriented digital transformation in the public sector. In: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, pp. 1–3 (2018)

    Google Scholar 

  23. Panagiotopoulos, P., Klievink, B., Cordella, A.: Public value creation in digital government. Gov. Inf. Q. 36(4), 101421 (2019)

    Google Scholar 

  24. Pang, M.-S., Lee, G., DeLone, W.H.: IT resources, organizational capabilities, and value creation in public-sector organizations: a public-value management perspective. J. Inf. Technol. 29(3), 187–205 (2014)

    CrossRef  Google Scholar 

  25. Press, G.: A Very Short History of Data Science. Forbes Technology (2013). http://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/. Accessed 11 Feb 2021

  26. Ross, J.W.: Don’t confuse digital with digitization. MIT Sloan Manage. Rev. (2017). https://sloanreview.mit.edu/article/dont-confuse-digital-with-digitization/

  27. Rowe, F.: Being critical is good, but better with philosophy! From digital transformation and values to the future of IS research. Eur. J. Inf. Syst. 27(3), 380–393 (2018)

    CrossRef  Google Scholar 

  28. Scholl, H.J.: E-government: a special case of ICT-enabled business process change. In: Proceedings 36th Hawaii International Conference on System Sciences. IEEE (2003)

    Google Scholar 

  29. Tangi, L., Janssen, M., Benedetti, M., Noci, G.: Barriers and drivers of digital transformation in public organizations: results from a survey in the Netherlands. In: VialePereira, G., et al. (eds.) EGOV 2020. LNCS, vol. 12219, pp. 42–56. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57599-1_4

    CrossRef  Google Scholar 

  30. Twizeyimana, J.D., Andersson, A.: The public value of E-Government–a literature review. Gov. Inf. Q. 36(2), 167–178 (2019)

    CrossRef  Google Scholar 

  31. Aalst, W.M.P.: Data scientist: the engineer of the future. In: Mertins, K., Bénaben, F., Poler, R., Bourrières, J.-P. (eds.) Enterprise Interoperability VI. PIC, vol. 7, pp. 13–26. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-04948-9_2

    CrossRef  Google Scholar 

  32. Van der Aalst, W.: Process Mining: Data Science in Action, 2nd edn. Springer, Berlin (2016)

    CrossRef  Google Scholar 

  33. Van der Aalst, W., Damiani, E.: Processes meet big data: connecting data science with process science. IEEE Trans. Serv. Comput. 8(6), 810–819 (2015)

    CrossRef  Google Scholar 

  34. Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.): BPM 2020. LNCS, vol. 12168. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58666-9

    CrossRef  Google Scholar 

  35. Vom Brocke, J., Schmid, A. M., Simons, A., Safrudin, N.: IT-enabled organizational transformation: a structured literature review. Bus. Process Manage. J. (2020, ahead-of-print). https://doi.org/10.1108/BPMJ-10-2019-0423

  36. Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., Blegind Jensen, T.: Unpacking the difference between digital transformation and IT-enabled organizational transformation. J. Assoc. Inf. Syst. 22(1), Article 6 (2021)

    Google Scholar 

  37. Ylinen, M., Pekkola, S.: A process model for public sector IT management to answer the needs of digital transformation. In: Proceedings of the 52nd HICSS. IEEE (2019)

    Google Scholar 

  38. Zhang, J., Luna-Reyes, L.F., Mellouli, S.: Transformational digital government. Gov. Inf. Q. 4(31), 503–505 (2014)

    CrossRef  Google Scholar 

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Correspondence to Ralf Klischewski .

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Klischewski, R. (2021). Data Science or Process Science? How to Promote the Next Digital Transformation in the Public Sector. In: Scholl, H.J., Gil-Garcia, J.R., Janssen, M., Kalampokis, E., Lindgren, I., Rodríguez Bolívar, M.P. (eds) Electronic Government. EGOV 2021. Lecture Notes in Computer Science(), vol 12850. Springer, Cham. https://doi.org/10.1007/978-3-030-84789-0_1

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  • DOI: https://doi.org/10.1007/978-3-030-84789-0_1

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