Skip to main content
SpringerLink
Log in

Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective

  • Conference paper
  • First Online:
Book cover Advances in Information and Communication (FICC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1129))

Included in the following conference series:

Abstract

By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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. Sadiq, S., Indulska, M.: Open data: quality over quantity. Int. J. Inf. Manage. 37(3), 150–154 (2017)

    Article  Google Scholar 

  2. Bertot, J., Gorham, U., Jaeger, P., Sarin, L., Choi, H.: Big data, open government and e-government: Issues, policies and recommendations. Inf. Polity 19(1–2), 5–16 (2014)

    Article  Google Scholar 

  3. Allen, K.B.: Access to government information. Gov. Inf. Q. 9(1), 67–80 (1992)

    Article  Google Scholar 

  4. Kassen, M.: A promising phenomenon of open data: a case study of the Chicago open data project. Gov. Inf. Q. 30(4), 508–513 (2013)

    Article  Google Scholar 

  5. Dawes, S.S.: Stewardship and usefulness: policy principles for information-based transparency. Gov. Inf. Q. 27(4), 377–383 (2010)

    Article  Google Scholar 

  6. Roa, H.N., Loza-Aguirre, E., Flores, P.: A survey on the problems affecting the development of open government data initiatives. In: Proceedings of the Sixth International Conference on eDemocracy & eGovernment (ICEDEG), Quito, Ecuador (2019)

    Google Scholar 

  7. Conradie, P., Choenni, S.: On the barriers for local government releasing open data. Gov. Inf. Q. 31(S. 1), S10–S17 (2014)

    Article  Google Scholar 

  8. Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manage. 29(4), 258–268 (2012)

    Article  Google Scholar 

  9. Lesca, N., Caron-Fasan, M.-L., Loza-Aguire, E., Chalus-Sauvannet, M.C.: Drivers and barriers to pre-adoption of strategic scanning information systems in the context of sustainable supply chain. Systèmes d’Information et Manage. 20(3), 9–46 (2015)

    Article  Google Scholar 

  10. Krishnamurthy, R., Awazu, Y.: Liberating data for public value: the case of data. Gov. Int. J. Inf. Manage. 36(4), 668–672 (2016)

    Article  Google Scholar 

  11. Styrin, E., Luna-Reyes, L.F., Harrison, T.M.: Open data ecosystems: an international comparison. Transform. Gov. People, Process Policy 11(1), 132–156 (2017)

    Google Scholar 

  12. Nam, T.: Challenges and concerns of open government: a case of government 3.0 in Korea. Soc. Sci. Comput. Rev. 33(5), 556–570 (2015)

    Article  Google Scholar 

  13. Yang, T.-M., Lo, J., Shiang, J.: To open or not to open? Determinants of open government data. J. Inf. Sci. 41(5), 596–612 (2015)

    Article  Google Scholar 

  14. Verra, L.G., Karoui, M., Dudezert, A.: Adoption symbolique d’un Réseau Social pour entreprise: Le cas de Bouygues Construction. In: 17ème colloque de l’AIM, Bordeaux, France (2012)

    Google Scholar 

  15. Baskerville, R., Pries-Heje, J.: A multiple theory analysis of a diffusion of information technology case. Inf. Syst. J. 11(3), 181–212 (2001)

    Article  Google Scholar 

  16. Rogers, E.M.: Diffusion of Innovations. The Free Press, New York (1983)

    Google Scholar 

  17. Hameed, M.A., Counsell, S., Swift, S.: A conceptual model for the process of IT innovation adoption in organisations. J. Eng. Technol. Manage. 29(3), 358–390 (2012)

    Article  Google Scholar 

  18. Klonglan, G.E., Coward Jr., E.W.: The concept of symbolic adoption: a suggested interpretation. Rural Sociol. 35(1), 77–83 (1970)

    Google Scholar 

  19. Kwon, T.H., Zmud, R.W.: Unifying the Fragmented models of information systems implementation. In: Boland, R.J., Hirschheim, R.A. (eds.) Critical Issues in Information Systems Research, pp. 227–251. Wiley, Chichester (1987)

    Google Scholar 

  20. Cooper, R.B., Zmud, R.W.: Information technology implementation research: a technological diffusion approach. Manage. Sci. 36(2), 123–139 (1990)

    Article  Google Scholar 

  21. Rai, A., Brown, P., Tang, X.: Organisational assimilation of electronic procurement innovations. J. Manage. Inf. Syst. 26(1), 257–296 (2009)

    Article  Google Scholar 

  22. Swanson, E., Ramiller, N.C.: Innovating mindfully with information technology. MIS Q. 28(4), 553–583 (2004)

    Article  Google Scholar 

  23. Zhu, K., Kraemer, K.L., Xu, S.: The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Manage. Sci. 52(10), 1557–1576 (2006)

    Article  Google Scholar 

  24. Ngwenyama, O., Nielsen, P.A.: Using organizational influence processes to overcome IS implementation barriers: lessons from a longitudinal case study of SPI implementation. Eur. J. Inf. Syst. 23(2), 205–222 (2014)

    Article  Google Scholar 

  25. Fui-Hoon Nah, F., Tan, X., The, S.H.: An empirical investigation of end-users’ acceptance of enterprise systems. Inf. Resour. Manage, J. 17(3), 32–53 (2004)

    Article  Google Scholar 

  26. Grover, V., Goslar, M.D.: The initiation, adoption, and implementation of telecommunications technologies in U.S. organisations. J. Manage. Inf. Syst. 10(1), 141–163 (1983)

    Article  Google Scholar 

  27. Karahanna, E., Straub, D.W., Chervany, N.L.: Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q. 23(2), 183–213 (1999)

    Article  Google Scholar 

  28. Hofer, A.R., Hofer, C., Eroglu, C., Waller, M.A.: An institutional theoretic perspective on forces driving adoption of lean production globally: China vis-à-vis the USA. Int. J. Logist. Manage. 22(2), 148–178 (2011)

    Article  Google Scholar 

  29. Di Maggio, P.J., Powell, W.W.: The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. Am. Sociol. Rev. 48(2), 147–160 (1983)

    Article  Google Scholar 

  30. Abdennadher, S., Cheffi, W.: L’adoption du vote par internet aux assemblées générales des actionnaires de sociétés cotées en France: une perspective institutionnaliste. Systèmes d’Information et Manage. 16(2), 35–71 (2011)

    Article  Google Scholar 

  31. Mizruchi, M.S., Fein, L.C.: The social construction of organizational knowledge: a study of the uses of coercive, mimetic, and normative isomorphism. Adm. Sci. Q. 44(4), 653–683 (1999)

    Article  Google Scholar 

  32. Scott, W.R.: Institutions and Organizations: Foundations for Organizational Science. Sage Publications, California (1995)

    Google Scholar 

  33. Slack, T., Hinings, B.: Institutional Pressures and Isomorphic Change: An Empirical test. Organ. Stud. 15(6), 803–827 (1994)

    Article  Google Scholar 

  34. Fusch, P.I., Ness, L.R.: Are we there yet? data saturation in qualitative research. Qual. Rep. 20(9), 1408–1416 (2015)

    Google Scholar 

  35. Saldaña, J.: The Coding Manual for Qualitative Researchers. Sage Publications, London (2009)

    Google Scholar 

  36. Bardin, L.: L’analyse de contenu. Presses Universitaires de France, Paris (2007)

    Google Scholar 

Download references

Acknowledgment

This research was supported by the Pontificia Universidad Católica del Ecuador through the grant research project O13050. In addition, we acknowledge and thank the Anonymous Reviewers for their valuable recommendations, which contributed to improving the quality of this paper.

Author information

Authors and Affiliations

  1. Facultad de Ingeniería, Pontificia Universidad Católica del Ecuador, Av. 12 de Octubre 1076 y Roca, P.O. Box 17-01-2184, Quito, Ecuador

    Henry N. Roa

  2. Facultad de Ingeniería en Sistemas, Escuela Politécnica Nacional, Ladrón de Guevara, P.O. Box 17-01-2759, E11-253, Quito, Ecuador

    Edison Loza-Aguirre & Pamela Flores

Authors
  1. Henry N. Roa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Edison Loza-Aguirre
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pamela Flores
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Henry N. Roa .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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

Roa, H.N., Loza-Aguirre, E., Flores, P. (2020). Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_43

Download citation

Publish with us

Policies and ethics

Search

Navigation