A novel best-worst method and Kendall model integration for optimal selection of digital voting tools to enhance citizen engagement in public decision making-Reference-Cited by-同舟云学术

A novel best-worst method and Kendall model integration for optimal selection of digital voting tools to enhance citizen engagement in public decision making

Published:2024-03 Issue: Volume:10 Page:100378
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Moslem Sarbast^ORCID,Deveci Muhammet,Pilla Francesco^ORCID

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference47 articles.

1. A stakeholder theory perspective on business models: Value creation for sustainability;Freudenreich;J. Bus. Ethics,2020

2. Public engagement for designing new transport services: investigating citizen preferences from a multiple criteria perspective;Ignaccolo;Transp. Res. Procedia,2019

3. Sustainable urban mobility: One definition, different stakeholders’ opinions;Foltýnová;Transp. Res. D,2020

4. Frameworks for citizens participation in planning: From conversational to smart tools;Horgan;Sustainable Cities Soc.,2019

5. Implementing smart sustainable cities in Saudi Arabia: A framework for citizens’ participation towards SAUDI VISION 2030;Alamoudi;Sustainability,2023

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel interval rough model for optimizing road network performance and safety;Expert Systems with Applications;2024-12

2. Decision algorithm for educational institute selection with spherical fuzzy heronian mean operators and Aczel-Alsina triangular norm;Heliyon;2024-04

3. Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment;Heliyon;2024-03

4. A hybrid decomposed fuzzy multi-criteria decision-making model for optimizing parcel lockers location in the last-mile delivery landscape;Applied Soft Computing;2024-03