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Measuring urban digitalization using cognitive mapping and the best worst method (BWM)

Author

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  • Vieira, Fabiana C.
  • Ferreira, Fernando A.F.
  • Govindan, Kannan
  • Ferreira, Neuza C.M.Q.F.
  • Banaitis, Audrius

Abstract

Rapid population growth and urbanization have a strong impact on individuals’ well-being. These trends are currently important topics in city management. As a significant driver of digitalization, technological development has been found to have great potential as a mitigator of a wide range of issues that cities face. To ensure the available technologies are being correctly used, municipalities need to measure their degree of digitalization. This assessment is also important to improve city officials’ understanding of areas that need interventions so that cities can be managed better and provide their residents with a better quality of life. This study applies the baseline principles of the multiple-criteria decision analysis (MCDA) approach to develop a decision-support system that facilitates urban digitalization evaluations. The results rely on insights provided by a panel of experts in this area, who used cognitive mapping and the best worst method (BWM) to identify important evaluation criteria within urban digitalization and to analyze their cause-and-effect relationships. The final outcomes were validated by the panel members and representatives of the Associação Nacional de Municípios Portugueses (i.e., National Association of Portuguese Municipalities) and the Agência National de Inovação (i.e., National Innovation Agency). These specialists confirmed that the evaluation system developed facilitates city differentiation in key areas of urban digitalization. The advantages and limitations of the proposed procedures are also discussed.

Suggested Citation

  • Vieira, Fabiana C. & Ferreira, Fernando A.F. & Govindan, Kannan & Ferreira, Neuza C.M.Q.F. & Banaitis, Audrius, 2022. "Measuring urban digitalization using cognitive mapping and the best worst method (BWM)," Technology in Society, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x2200272x
    DOI: 10.1016/j.techsoc.2022.102131
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    1. Tuba Bakıcı & Esteve Almirall & Jonathan Wareham, 2013. "A Smart City Initiative: the Case of Barcelona," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 135-148, June.
    2. J Rosenhead, 2006. "Past, present and future of problem structuring methods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(7), pages 759-765, July.
    3. Eden, Colin, 2004. "Analyzing cognitive maps to help structure issues or problems," European Journal of Operational Research, Elsevier, vol. 159(3), pages 673-686, December.
    4. Eden, Colin & Ackermann, Fran, 2004. "Cognitive mapping expert views for policy analysis in the public sector," European Journal of Operational Research, Elsevier, vol. 152(3), pages 615-630, February.
    5. Yigitcanlar, Tan & Kamruzzaman, Md., 2018. "Does smart city policy lead to sustainability of cities?," Land Use Policy, Elsevier, vol. 73(C), pages 49-58.
    6. Braga, Irina F.B. & Ferreira, Fernando A.F. & Ferreira, João J.M. & Correia, Ricardo J.C. & Pereira, Leandro F. & Falcão, Pedro F., 2021. "A DEMATEL analysis of smart city determinants," Technology in Society, Elsevier, vol. 66(C).
    7. S Bell & S Morse, 2013. "Groups and facilitators within problem structuring processes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(7), pages 959-972, July.
    8. Paulo M.M. Rodrigues & Fernando A. F. Ferreira, 2010. "A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness," Working Papers w201010, Banco de Portugal, Economics and Research Department.
    9. Pinto, Ana M.F. & Ferreira, Fernando A.F. & Spahr, Ronald W. & Sunderman, Mark A. & Govindan, Kannan & Meidutė-Kavaliauskienė, Ieva, 2021. "Analyzing blight impacts on urban areas: A multi-criteria approach," Land Use Policy, Elsevier, vol. 108(C).
    10. Ferreira, Fernando A.F. & Spahr, Ronald W. & Sunderman, Mark A. & Govindan, Kannan & Meidutė-Kavaliauskienė, Ieva, 2022. "Urban blight remediation strategies subject to seasonal constraints," European Journal of Operational Research, Elsevier, vol. 296(1), pages 277-288.
    11. Joana S. R. Correia & Ieva Meidutė-Kavaliauskienė & Leandro F. Pereira & Constantin Zopounidis & Ricardo J. C. Correia, 2020. "Factors Influencing Urban Investment Attractiveness: An Fcm-Sd Approach," Post-Print hal-02880085, HAL.
    12. Mingers, John & Rosenhead, Jonathan, 2004. "Problem structuring methods in action," European Journal of Operational Research, Elsevier, vol. 152(3), pages 530-554, February.
    13. Mohammadi, Majid & Rezaei, Jafar, 2020. "Bayesian best-worst method: A probabilistic group decision making model," Omega, Elsevier, vol. 96(C).
    14. Lombardi, P. & Giordano, S. & Caragliu, A. & Del Bo, C., 2011. "An advanced triple-helix network model for smart cities performance," Serie Research Memoranda 0045, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Tan Yigitcanlar & Md. Kamruzzaman, 2015. "Planning, Development and Management of Sustainable Cities: A Commentary from the Guest Editors," Sustainability, MDPI, vol. 7(11), pages 1-12, November.
    16. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    17. Lami, Isabella M. & Tavella, Elena, 2019. "On the usefulness of soft OR models in decision making: A comparison of Problem Structuring Methods supported and self-organized workshops," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1020-1036.
    18. Jafar Rezaei, 2020. "A Concentration Ratio for Nonlinear Best Worst Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 891-907, May.
    19. Badri Ahmadi, Hadi & Kusi-Sarpong, Simonov & Rezaei, Jafar, 2017. "Assessing the social sustainability of supply chains using Best Worst Method," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 99-106.
    20. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    21. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    22. Eden, Colin & Ackermann, Fran, 2018. "Theory into practice, practice to theory: Action research in method development," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1145-1155.
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