skip to main content
10.1145/3209415.3209439acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicegovConference Proceedingsconference-collections
research-article

Empirical evidence of Colombian national e-government programs' impact on local Smart City-Adoption

Authors Info & Claims
Published:04 April 2018Publication History

ABSTRACT

Smart Cities (SC) are a growing trend, and ICT is a fundamental element for their development. Elaborating national policies about SC requires measuring cities' success in ICT adoption. This article describes the Smart City ICT Adoption Maturity Model (SCIAMM), which defines five maturity levels, and consists of five domains (e-government strategy, public innovation, data, infrastructure, and services), 15 key domain areas (KDA), and 48 critical variables (CV). An initial evaluation was conducted, using public data from the IT Ministry (MinICT) for the seven largest Colombian cities. A comparison of 2015 and 2016 values shows the simultaneous improvement some areas (Public Wi-Fi and Open Data) and worsening of some strategy-related areas (Governance, IT plans, and IT Operation); further examination suggests that it may reflect reprioritization of attention and resources as cities aimed to exploit new national programs on Public Wi-Fi and Open Data. SCIAMM identification of this "collateral damage" of national programs shows its value as a public policy designer tool.

References

  1. G. P. Maestre. 2015."Revisión de literatura sobre ciudades inteligentes: Una perspectiva centrada en las TIC," Ingeniare, no. 19, pp. 137--149,.Google ScholarGoogle Scholar
  2. T. Nam and T. A. Pardo.2011. "Conceptualizing smart city with dimensions of technology, people, and institutions," presented at the Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Nam and T. A. Pardo,.2011. "Smart city as urban innovation: Focusing on management, policy, and context," in Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance, pp. 185--194: ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. Gaulė, Š. Jurgita, and S. Jolanta. 2015. Smart Public Governance: dimensions, characteristics, criteria presented at the International Research Society For Public Management Conference., Birmingham, London, Available: http://irspm2015.com/sppa/index.php/irspm/IRSPM2015/paper/viewFile/1286/582Google ScholarGoogle Scholar
  5. M. K. Mishra. 2013. Role of Technology in Smart Governance:'Smart City, Safe City'.Google ScholarGoogle Scholar
  6. European Parlament 2014. Mapping Smart Cities in the EU.Google ScholarGoogle Scholar
  7. S. Ben Letaifa. 2015. How to strategize smart cities: Revealing the SMART model," Journal of Business Research, vol. 68, no. 7, pp. 1414--1419.Google ScholarGoogle ScholarCross RefCross Ref
  8. P. Foley. 2013. Defining Smart Cities Workshop 2: going smart and accessible in public services and cities," ed: Digital Agenda for Europe.Google ScholarGoogle Scholar
  9. S. Allwinkle and P. Cruickshank. 2011. Creating Smart-er Cities: An Overview. Journal of Urban Technology, vol. 18, no. 2, pp. 1--16,Google ScholarGoogle ScholarCross RefCross Ref
  10. S. Manan S and J. J. Bhavsar. 2016. Review on Identification of Success Factors for Designing of Smart Cities. International Journal of Science Technology and Engineering, vol. 2, no. 9 pp. 125--133, 2016.Google ScholarGoogle Scholar
  11. J. Harms. 2016. Critical Success Factors for a Smart City Strategy, presented at the 25th twente student conference on IT, Netherlands-Google ScholarGoogle Scholar
  12. G. Perboli, A. De Marco, F. Perfetti, and M. Marone. 2014. A New Taxonomy of Smart City Project. Transportation Research Procedia, vol. 3, pp. 470--47.Google ScholarGoogle ScholarCross RefCross Ref
  13. N. Kogan and K. J. Lee. 2014. Exploratory research on success factors and challenges of Smart City Projects. Asia Pacific Journal of Information Systems, vol. 24, no. 2, pp. 141--189,.Google ScholarGoogle ScholarCross RefCross Ref
  14. M. Cavada, D. Hunt, and C. Rogers. 2014. Smart Cities: Contradicting Definitions and Unclear Measures.Google ScholarGoogle Scholar
  15. R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler-Milanovic, and E. Meijers. 2007.Smart cities-Ranking of European medium-sized cities.Vienna University of Technology, Available: http://www.smart-cities.eu/download/smart_cities_final_report.pdf.Google ScholarGoogle Scholar
  16. A. Caragliu, C. Del Bo, and P. Nijkamp.2011. Smart cities in Europe. Journal of urban technology, vol. 18, no. 2, pp. 65--82,.Google ScholarGoogle ScholarCross RefCross Ref
  17. P. Neirotti, A. De Marco, A. C. Cagliano, G. Mangano, and F. Scorrano.2014. Current trends in Smart City initiatives: Some stylised facts. Cities, vol. 38, no. 0, pp. 25--36, 6.Google ScholarGoogle ScholarCross RefCross Ref
  18. B. Cohen. 2015. The Smartest Cities In The World 2015: Methodology. Available: https://www.fastcompany.com/3038818/the-smartest-cities-in-the-world-2015-methodologyGoogle ScholarGoogle Scholar
  19. L. Alcatel. 2015. Getting Smart about Smart Cities Recommendations for Smart City Stakeholders. Whitepaper. Available: http://www.tmcnet.com/tmc/whitepapers/documents/whitepapers/2013/6878-alcatel-lucentgetting-smart-smart-cities-enterprise-market.pdfGoogle ScholarGoogle Scholar
  20. C. Moreno Alonso. 2016. Desarrollo de un modelo de evaluación de ciudades basado en el concepto de Ciudad Inteligente (Smart City). Tesis Doctoral, Universidad Politecnica de Madrid, Madrid.Google ScholarGoogle Scholar
  21. P. Branchi, I. Matias, and C. Fernandez. 2013. City & technology: An analysis matrix to serve citizens. International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE), Gijon, pp. 1--5.Google ScholarGoogle Scholar
  22. L. Moreno and J. Paez, 2013.Towards a new model for government IT management in Colombia. ICEGOV '13 Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance pp. 362--363. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. G. P. Maestre, 2014.Public Policy on Information Technology in Colombia: Bet on the future for the use and ownership of IT in society. in XL Latin American Computing Conference (CLEI), 2014, pp. 1--8: IEEE.Google ScholarGoogle Scholar
  24. R. K. Kazanjian and R. Drazin.1989. "An empirical test of a stage of growth progression model," Management Science, vol. 35, no. 12, pp. 1489--1503Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. P. Gottschalk. 2009. Maturity levels for interoperability in digital government. Government Information Quarterly, vol. 26, no. 1, pp. 75--81.Google ScholarGoogle ScholarCross RefCross Ref
  26. The Open Group. 2009. Architecture Framework (TOGAF) Version 9. The Open Group, vol. 1,Google ScholarGoogle Scholar
  27. J. Zachman. 1987 "A framework for information systems architecture," IBM systems journal, vol. 26, no. 3, pp. 276--292. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Australian Government. 2011. Australian Government Architecture Reference Models. Available: http://www.finance.gov.au/policy-guides-procurement/australian-government-architecture-aga/aga-rm/Google ScholarGoogle Scholar
  29. UK Government. 2012. UK Government Reference Architecture (UKRA). Available: www.gov.uk/government/uploads/system/uploads/attachment_data/file/85985/UK-Reference-Architecture-V1-0-HMG-Branded.pdfGoogle ScholarGoogle Scholar
  30. USA Government. 2012. The Common Approach to Federal Enterprise Architecture. Available: www.whitehouse.gov/sites/default/files/omb/assets/egov_docs/shared_services_strategy.pdfGoogle ScholarGoogle Scholar
  31. Scottish Government. 2015.Smart Cities Maturity Model and Self-assessment tool.Google ScholarGoogle Scholar
  32. R. Yesner and A. Brooks 2016. "IDC MaturityScape: Smart City," IDC2015, Available: https://www.thingworx.com/wp-content/uploads/2016/05/WP_idc_maturityscape-smart-city_US40814315_EN.pdf.Google ScholarGoogle Scholar
  33. Brtitish Standar Institute. 2014.Customer service Smart city framework -- Guide to establishing strategies for smart cities and communities. Available: http://shop.bsigroup.com/upload/267775/PAS 181 (2014).pdfGoogle ScholarGoogle Scholar
  34. Deloitte. 2015. Smart Cities: How rapid advances in technology are reshaping our economy and society. Available: https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/public-sector/deloitte-nl-ps-smart-cities-report.pdf.Google ScholarGoogle Scholar
  35. D. Mani and S. Banerjee. 2015. Smart City Maturity Model (SCMM)- BSI. Available: http://isbinsight.isb.edu/smart-city-maturity-model-scmm/.Google ScholarGoogle Scholar

Index Terms

  1. Empirical evidence of Colombian national e-government programs' impact on local Smart City-Adoption

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance
          April 2018
          739 pages
          ISBN:9781450354219
          DOI:10.1145/3209415

          Copyright © 2018 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 4 April 2018

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed limited

          Acceptance Rates

          ICEGOV '18 Paper Acceptance Rate104of184submissions,57%Overall Acceptance Rate350of865submissions,40%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader