Skip to main content
SpringerLink
Log in

Digital Transformation in the Public Sector: Enabling Technologies and Their Impacts

  • Conference paper
  • First Online:
Industrial Engineering and Operations Management (IJCIEOM 2022)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 400))

  • 501 Accesses

Abstract

Digital transformation has allowed advances in several areas, as it promotes the adoption of sophisticated digital technologies aimed at improving processes and reducing costs. Digital transformation technologies have the potential to encourage improvements and innovations in all types of institutions, both public and private. Unlike the evolution of private organizations, the public sector lacks adaptation to these innovations. Thus, to reap the benefits of digital transformation, the public sector needs to be more agile and more flexible and adaptive. Therefore, this study aims to raise contributions from enabling technologies for digital transformation in the public sector. We carried out a systematic review of the literature using the ProKnow-C method. Through content analysis, the focus of this article, the technologies were pointed out where and how they are being used in this sector, in addition to some benefits and difficulties of implementation. The survey results from the 18 articles in the bibliographic portfolio indicated that Europe and Asia have the highest utilization rate, especially the United Kingdom. In addition, Blockchain is the technology with the most significant applications. On the other hand, the Internet of Things, widely used in the private sector, had few appearances. However, public agencies in several countries have improved using these technologies despite the nascent maturity.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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. Pereira, G.V., et al.: Smart governance in the context of smart cities: a literature review. Inf. Polity. 23(2), 143–162 (2018)

    Article  Google Scholar 

  2. Schwer, K., et al.: Digital maturity variables and their impact on the enterprise architecture layers. Probl. Perspect. Manag. 16(4), 141–154 (2018)

    Google Scholar 

  3. Lappi, T.M., Aaltonen, K., Kujala, J.: Project governance and portfolio management in government digitalization. Transform. Gov.: People Process Policy. 13, 159–196 (2019)

    Article  Google Scholar 

  4. Henriette, Emily, Feki, Mondher, Boughzala, Imed: Digital Transformation Challenges. MCIS 2016 Proceedings. 33. Paphos – Chipre (2016). http://aisel.aisnet.org/mcis2016/33

    Google Scholar 

  5. Vial, G.: Understanding digital transformation: a review and a research agenda. J. Strateg. Inf. Syst. 28(2), 118–144 (2019)

    Article  Google Scholar 

  6. Morakanyane, R., Grace, A., O’Reilly, P.: Conceptualizing digital transformation in business organizations: a systematic review of literature. 30th bled econference: digital transformation – from connecting things to transforming our lives. Bled, Slovenia. (2017). https://doi.org/10.18690/978-961-286-043-1.30 . ISBN 978-961-286-043-1

  7. Dobrolyubova, E., Klochkova, E., Alexandrov, O.: Digitalization and effective government: what is the cause and what is the effect? In: International Conference on Digital Transformation and Global Society, pp. 55–67. Springer, Cham (2019)

    Chapter  Google Scholar 

  8. Schallmo, D., Williams, C.A., Boardman, L.: Digital transformation of business models—best practice, enablers, and roadmap. Int. J. Innov. Manag. 21(08), 1740014 (2017)

    Article  Google Scholar 

  9. Fitzgerald, M., et al.: Embracing digital technology: a new strategic imperative. MIT Sloan Manag. Rev. 55(2), 1 (2014)

    Google Scholar 

  10. Singh, A., Hess, T.: How Chief Digital Officers promote the digital transformation of their companies. MIS Q. Executive. 16(1), 1–17 (2017)

    Google Scholar 

  11. Teichert, R., et al.: Digital transformation maturity: a systematic review of literature. Acta Univ. Agric. et Silvic. Mendelianae Brun. 67(6), 1673–1687 (2019)

    Article  Google Scholar 

  12. Matt, C., Hess, T., Benlian, A.: Digital transformation strategies. Bus. Inf. Syst. Eng. 57(5), 339–343 (2015)

    Article  Google Scholar 

  13. Wischnevsky, J.D., Damanpour, F.: Organizational transformation and performance: an examination of three perspectives. J. Manag. Issues. 18, 104–128 (2006)

    Google Scholar 

  14. Reis, J., Santo, P.E., Melão, N.: Artificial intelligence in government services: a systematic literature review. In: World Conference on Information Systems and Technologies, pp. 241–252. Springer, Cham (2019)

    Google Scholar 

  15. Santos, R.C., Martinho, J.L.: An Industry 4.0 maturity model proposal. J. Manuf. Technol. Manag. 31(5), 1023–1043 (2019)

    Article  Google Scholar 

  16. Fishenden, J., Thompson, M.: Digital government, open architecture, and innovation: why public sector IT will never be the same again. J. Public Adm. Res. Theory. 23(4), 977–1004 (2013)

    Article  Google Scholar 

  17. Cordella, A., Tempini, N.: E-government and organizational change: reappraising the role of ICT and bureaucracy in public service delivery. Gov. Inf. Q. 32(3), 279–286 (2015)

    Article  Google Scholar 

  18. Magnusson, J., et al.: Closeness and distance: configurational practices for digital ambidexterity in the public sector. Transform. Gov.: People Process Policy. 15(4), 420–441 (2021)

    Article  Google Scholar 

  19. Mergel, I., Gong, Y., Bertot, J.: Agile government: systematic literature review and future research. Gov. Inf. Q. 35(2), 291–298 (2018)

    Article  Google Scholar 

  20. Bannister, F., Connolly, R.: ICT, public values and transformative government: a framework and programme for research. Gov. Inf. Q. 31(1), 119–128 (2014)

    Article  Google Scholar 

  21. Asgarkhani, M.: Digital government and its effectiveness in public management reform: a local government perspective. Public Manag. Rev. 7(3), 465–487 (2005)

    Article  Google Scholar 

  22. Wang, Y., et al.: Making sense of blockchain technology: how will it transform supply chains? Int. J. Prod. Econ. 211, 221–236 (2019)

    Article  Google Scholar 

  23. Makhdoom, I., et al.: Blockchain’s adoption in IoT: the challenges, and a way forward. J. Netw. Comput. Appl. 125, 251–279 (2019)

    Article  Google Scholar 

  24. Tecuci, G.: Artificial intelligence. Wiley Interdiscip. Rev. Comput. Stat. 4(2), 168–180 (2012). https://doi.org/10.1002/wics.200

    Article  Google Scholar 

  25. Russell, S., Norvig, P., Intelligence, S.: Artificial. A Modern Approach. Prentice Hall, Upper Saddle River (2002)

    Google Scholar 

  26. Mittal, N., Kuder, D.S.H.: AI-fueled organizations: reaching AI’s full potential in the enterprise. Deloitte Insights. (2019)

    Google Scholar 

  27. Gil-Garcia, J.R., Pardo, T.A., Gasco-Hernandez, M.: Internet of Things and the public sector. In: Beyond Smart and Connected Governments, pp. 3–24. Springer, Cham (2020)

    Chapter  Google Scholar 

  28. Velsberg, O., Westergren, U.H., Jonsson, K.: Exploring smartness in public sector innovation-creating smart public services with the Internet of Things. Eur. J. Inf. Syst. 29(4), 350–368 (2020)

    Article  Google Scholar 

  29. ITU Internet Reports, International Telecommunication Union: The Internet of Things, 7th edn (2005). www.itu.int/internetofthings/on

  30. Xiaocong, Q., Jidong, Z.: Study on the structure of “Internet of Things (IOT)” business operation support platform. In: 2010 IEEE 12th International Conference on Communication Technology, pp. 1068–1071. IEEE, Nanjing, China (2010). https://doi.org/10.1109/ICCT.2010.5688537

    Chapter  Google Scholar 

  31. Han, K., et al.: Initially researches for the development of SSME under the background of IOT. Phys. Procedia. 24, 1507–1513 (2012)

    Article  Google Scholar 

  32. Khalid, A.: Internet of Thing architecture and research agenda. Int. J. Comput. Sci. Mob. Comput. 5(3), 351–356 (2016)

    MathSciNet  Google Scholar 

  33. Middha, K., Verma, A.: Internet of Things (IOT) architecture, challenges, applications: a review. Int. J. Adv. Res. Comput. Sci. 9(1), 389–393, p. 5, (2018)

    Google Scholar 

  34. *Abai, N.H.Z., et al.: Integrating business intelligence and analytics in managing public sector performance: an empirical study. Int. J. Adv. Sci. Eng. Inf. Technol. 9(1), 172–180 (2019)

    Google Scholar 

  35. Obeidat, M., North, M., Richardson, R., Rattanak, V., North, S.: Business intelligence technology, applications, and trends. International Management Review Journal. 11(2), 47–56 (2015)

    Google Scholar 

  36. Lim, E., Chen, H., Chen, G.: Business intelligence and analytics: research directions. ACM Trans. Manag. Inf. Syst. (TMIS). 3(4), 1–10 (2013)

    Article  Google Scholar 

  37. Bronzo, M., et al.: Improving performance aligning business analytics with process orientation. Int. J. Inf. Manag. 33(2), 300–307 (2013)

    Article  Google Scholar 

  38. Sheng, J., Amankwah-Amoah, J., Wang, X.: A multidisciplinary perspective of big data in management research. Int. J. Prod. Econ. 191, 97–112 (2017)

    Article  Google Scholar 

  39. Russom, P., et al.: Big data analytics. TDWI best practices report, fourth quarter. 19(4), 1–34 (2011)

    Google Scholar 

  40. Lomotey, R.K., Deters, R.: Towards knowledge discovery in big data. In: 2014 IEEE 8th International Symposium on Service Oriented System Engineering, pp. 181–191. IEEE, Oxford, UK (2014)

    Chapter  Google Scholar 

  41. Mell, P., et al.: The NIST Definition of Cloud Computing. U.S. Dept. of Commerce, National Institute of Standards and Technology, Gaithersburg (2011)

    Book  Google Scholar 

  42. Weng, F., Hung, M.: Competition and challenge on adopting cloud ERP. Int. J. Innov. Manag. Technol. 5(4), 309 (2014)

    Google Scholar 

  43. Hayes, B.: Cloud computing. Commun. ACM. 51, 9–11 (2008)

    Article  Google Scholar 

  44. 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)

    Article  Google Scholar 

  45. Tassabehji, R., Hackney, R., Popovič, A.: Emergent digital era governance: enacting the role of the ‘institutional entrepreneur’in transformational change. Gov. Inf. Q. 33(2), 223–236 (2016)

    Article  Google Scholar 

  46. Janowski, T.: Digital government evolution: from transformation to contextualization. Gov. Inf. Q. 32(3), 221–236 (2015)

    Article  Google Scholar 

  47. Ensslin, L., et al.: ProKnow-C, knowledge development process-constructivist. Processo técnico com patente de registro pendente junto ao INPI. Brasil. 10(4) (2010)

    Google Scholar 

  48. Cepik, M.A.C., Canabarro, D.R., Possamai, A.J.: Do novo gerencialismo público à era da governança digital. In: Governança de TI: transformando a administração pública no Brasil, pp. 11–35. WS, Porto Alegre (2010)

    Google Scholar 

  49. Miguel, P.A.C., et al.: Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução. Revista Produção, SCIELO Brasil. 17(1), 216–229 (2007)

    Google Scholar 

  50. Janovec, T.: Procedural Justice in Organizations: A Literature Map. Unpublished manuscript. University of Nebraska-Lincoln (2001)

    Google Scholar 

  51. *Benítez-Martínez, F.L., Hurtado-Torres, M.V., Romero-Frías, E.: A neural blockchain for a tokenizable e-Participation model. Neurocomputing 423, 703–712 (2020)

    Google Scholar 

  52. *Hyvärinen, H., Risius, M., Friis, G.: A blockchain-based approach towards overcoming financial fraud in public sector services. Bus. Inf. Syst. Eng. 59(6), 441–456 (2017)

    Google Scholar 

  53. *Khan, S.N., Shael, M., Majdalawieh, M.: Blockchain technology as a support infrastructure in E-Government Evolution at Dubai Economic Department. In: Proceedings of the 2019 International Electronics Communication Conference, pp. 124–130. Association for Computing Machinery, New York (2019)

    Google Scholar 

  54. *Ølnes, S. Beyond bitcoin enabling smart government using blockchain technology. In: International Conference on Electronic Government, pp. 253–264. Springer, Cham (2016)

    Google Scholar 

  55. *Warkentin, M., Orgeron, C.: Using the security triad to assess blockchain technology in public sector applications. Int. J. Inf. Manag. 52, 102090 (2020)

    Google Scholar 

  56. *Sokolov, B., Kolosov, A.: Blockchain technology as a platform for integrating corporate systems. Autom. Control Comput. Sci. 55(3), 234–242 (2021). Creswell, J.W.: A concise introduction to mixed methods research. SAGE Publications (2014)

    Google Scholar 

  57. *De Sousa, W.G., et al.: How and where is artificial intelligence in the public sector going? A literature review and research agenda. Gov. Inf. Q. 36(4), 101392 (2019)

    Google Scholar 

  58. *Pool, R., et al.: The Internet of Things in a smart society: how government policy can help seize opportunities and mitigate threats. In: Beyond Smart and Connected Governments, pp. 25–48. Springer, Cham (2020)

    Google Scholar 

  59. *Hartley, M., Seymour, L.: Key success factors for implementing Business Intelligence in South African public sector organisations. In: 9th IDIA Conference, IDIA2015, pp. 249–265 (2015)

    Google Scholar 

  60. *Choi, Y., Lee, H., Irani, Z.: Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector. Ann. Oper. Res. 270(1–2), 75–104 (2018)

    Google Scholar 

  61. *Fraefel, M., Haller, S., Gschwend, A.: Big data in the public sector. Linking cities to sensors. In: International Conference on Electronic Government, pp. 276–286. Springer, Cham (2017)

    Google Scholar 

  62. *Malomo, F., Sena, V.: Data intelligence for local government? Assessing the benefits and barriers to use of big data in the public sector. Policy Internet 9(1), 7–27 (2017)

    Google Scholar 

  63. *Merhi, M. I.; Bregu, K. Effective and efficient usage of big data analytics in public sector. Transform. Gov.: People Process Policy 14(4), 605–622 (2020)

    Google Scholar 

  64. *Shin, D.: Demystifying big data: anatomy of big data developmental process. Telecomm. Policy 40(9), 837–854 (2016)

    Google Scholar 

  65. *Wahdain, E.A., Baharudin, A.S., Ahmad, M.N.: Big data analytics in the Malaysian public sector: the determinants of value creation. In: International Conference of Reliable Information and Communication Technology, pp. 139–150. Springer, Cham, (2018)

    Google Scholar 

  66. *Alassafi, M.O., et al.: A framework for critical security factors that influence the decision of cloud adoption by Saudi government agencies. Telemat. Inform. 34(7), 996–1010 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidade Tecnológica Federal do Paraná, Pato Branco, PR, Brazil

    Shayane Betiatto dos Santos, Fabio Capellin, Marcelo Trentin, Sandro Cézar Bortoluzzi & Edson Pinheiro de Lima

Authors
  1. Shayane Betiatto dos Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fabio Capellin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marcelo Trentin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sandro Cézar Bortoluzzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Edson Pinheiro de Lima
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shayane Betiatto dos Santos .

Editor information

Editors and Affiliations

  1. Engineering, Universidad Anáhuac, Anáhuac Huixquilucan, Mexico

    Victor Manuel López Sánchez

  2. Mechanical Engineering, Federal University of Bahia, Salvador, Bahia, Brazil

    Francisco Gaudêncio Mendonça Freires

  3. Industrial Engineering and Management, Universidade Lusófona, Lisbon, Portugal

    João Carlos Gonçalves dos Reis

  4. DEGEIT, University of Aveiro, Aveiro, Portugal

    Joana Maria Costa Martins das Dores

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

dos Santos, S.B., Capellin, F., Trentin, M., Bortoluzzi, S.C., de Lima, E.P. (2022). Digital Transformation in the Public Sector: Enabling Technologies and Their Impacts. In: López Sánchez, V.M., Mendonça Freires, F.G., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2022. Springer Proceedings in Mathematics & Statistics, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-031-14763-0_9

Download citation

Publish with us

Policies and ethics

Search

Navigation