IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v90y2023ics0038012123002604.html
   My bibliography  Save this article

Creating technical criteria for the hierarchization of public works: Case study in Paraná state, Brazil

Author

Listed:
  • Steiner, Alexandre Arns
  • Franco, David Gabriel de Barros
  • Nara, Elpídio Oscar Benitez
  • Steiner, Maria Teresinha Arns

Abstract

Public works in general play an important role because of their expressive value and considerable social relevance. In this respect, it is necessary to establish criteria/indicators for defining the hierarchy of works that must be conducted by a public entity, mainly for works considered ordinary, that is, those that do not stand out from a set of alternatives by degree of emergency or importance. Specifically, the hierarchization of engineering works to be carried out by the Public Administration in Brazil usually adopts the political approach to decision making without the application of rational technical criteria. Therefore, the aim of this article is to present a methodology to define the hierarchy of engineering works with the judiciary branch of power through the creation of technical criteria/indicators, followed by the application of the Fuzzy-Delphi technique to define the indices/weights that comprise the indicators. The technical criteria were created based on Resolution 114 of the country's National Council of Justice (Conselho Nacional de Justiça; CNJ), whose weights were obtained through the aforementioned method, which was applied to a panel of experts, in two stages, with the adoption of triangular fuzzy numbers. The results, which were clear and objective, provide the General Hierarchization Index (GHI), with the ordering/ranking of the works included in the process. The methodology was validated in a case study applied to 162 alternatives (districts), containing 192 buildings of the Court of Justice of Paraná State (Tribunal de Justiça do Paraná; TJPR), proving to be an important tool to support decision making. The optimization of resources through the determination of priorities converges to the sustainable hiring applied to public contracts. Institutions of the other Powers of the Republic could and should also be encouraged by public authorities to conduct technical studies similar to the proposal presented here, always clarifying the need for a clear and objective definition of the criteria and weights to be applied in the development of solutions for multicriteria decision making.

Suggested Citation

  • Steiner, Alexandre Arns & Franco, David Gabriel de Barros & Nara, Elpídio Oscar Benitez & Steiner, Maria Teresinha Arns, 2023. "Creating technical criteria for the hierarchization of public works: Case study in Paraná state, Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:soceps:v:90:y:2023:i:c:s0038012123002604
    DOI: 10.1016/j.seps.2023.101748
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123002604
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101748?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shengping Peng & Yi Zhou & Wen-Tsao Pan, 2022. "Allocation and Optimization of Public Sports Facilities Resources in International Tourist Cities Based on Fuzzy Multicriteria Decision-Making Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, August.
    2. Meijering, J.V. & Kampen, J.K. & Tobi, H., 2013. "Quantifying the development of agreement among experts in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1607-1614.
    3. Reon Matemane & Tankiso Moloi & Michael Adelowotan, 2022. "Appraising Executive Compensation ESG-Based Indicators Using Analytical Hierarchical Process and Delphi Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    4. Jokar, Ebrahim & Aminnejad, Babak & Lork, Alireza, 2021. "Assessing and Prioritizing Risks in Public-Private Partnership (PPP) Projects Using the Integration of Fuzzy Multi-Criteria Decision-Making Methods," Operations Research Perspectives, Elsevier, vol. 8(C).
    5. Benny Lianto, 2023. "Identifying Key Assessment Factors for a Company’s Innovation Capability Based on Intellectual Capital: An Application of the Fuzzy Delphi Method," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    6. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    7. Cheng, Ching-Hsue & Lin, Yin, 2002. "Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 174-186, October.
    8. Matei, Ani & Savulescu, Carmen, 2009. "Enhancing the efficiency of local government in the context of reducing the administrative expenditures," MPRA Paper 17640, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christoph Markmann & Alexander Spickermann & Heiko A. von der Gracht & Alexander Brem, 2021. "Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.
    2. Seng Boon Lim & Jalaluddin Abdul Malek & Md Farabi Yussoff Md Yussoff & Tan Yigitcanlar, 2021. "Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    3. Marta Salgado & Ana C. L. Vieira & Anália Torres & Mónica D. Oliveira, 2020. "Selecting Indicators to Monitor and Assess Environmental Health in a Portuguese Urban Setting: A Participatory Approach," IJERPH, MDPI, vol. 17(22), pages 1-16, November.
    4. Meijering, Jurian V. & Tobi, Hilde, 2016. "The effect of controlled opinion feedback on Delphi features: Mixed messages from a real-world Delphi experiment," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 166-173.
    5. Zam, Milad & Rezasoltani, Amin & Ramezanian, Hasan & Tavakoli, Mohammadhosein, 2023. "Investigation of Consumer Attitude Impacting Parameters in Online Shopping," OSF Preprints dmqfr, Center for Open Science.
    6. Zam, Milad & Ramezanian, Hasan, 2023. "An examination of the factors that influence consumer attitude in online shopping," OSF Preprints yv5fx, Center for Open Science.
    7. Bolger, Fergus & Rowe, Gene & Belton, Ian & Crawford, Megan M & Hamlin, Iain & Sissons, Aileen & Taylor Browne Lūka, Courtney & Vasilichi, Alexandrina & Wright, George, 2020. "The Simulated Group Response Paradigm: A new approach to the study of opinion change in Delphi and other structured-group techniques," OSF Preprints 4ufzg, Center for Open Science.
    8. Tiberius, Victor & Gojowy, Robin & Dabić, Marina, 2022. "Forecasting the future of robo advisory: A three-stage Delphi study on economic, technological, and societal implications," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    9. Shin-Liang Chan & Wann-Ming Wey & Pin-Huai Chang, 2014. "Establishing Disaster Resilience Indicators for Tan-sui River Basin in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 387-418, January.
    10. Meijering, Jurian Vincent & Tobi, Hilde, 2018. "The effects of feeding back experts’ own initial ratings in Delphi studies: A randomized trial," International Journal of Forecasting, Elsevier, vol. 34(2), pages 216-224.
    11. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.
    12. Nur, Suardi & Burton, Bruce & Bergmann, Ariel, 2023. "Evidence on optimal risk allocation models for Indonesian geothermal projects under PPP contracts," Utilities Policy, Elsevier, vol. 81(C).
    13. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    14. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    15. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    16. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.
    17. Nibedita Mukherjee & Jean Huge & Farid Dahdouh-Guebas & Nico Koedam, 2014. "Ecosystem service valuations of mangrove ecosystems to inform decision making and future valuation exercises," ULB Institutional Repository 2013/217963, ULB -- Universite Libre de Bruxelles.
    18. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    19. Sheida Abdoli & Farah Habib & Mohammad Babazadeh, 2018. "Making spatial development scenario for south of Bushehr province, Iran, based on strategic foresight," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1293-1309, June.
    20. Shannon Li & Anne Honey & Francesca Coniglio & Peter Schaecken, 2022. "Mental Health Peer Worker Perspectives on Resources Developed from Lived Experience Research Findings: A Delphi Study," IJERPH, MDPI, vol. 19(7), pages 1-15, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:90:y:2023:i:c:s0038012123002604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.