Decision Model for Policy Makers in the Context of Citizens Engagement

2016 ◽  
Vol 34 (6) ◽  
pp. 740-756 ◽  
Author(s):  
Imen Boukhris ◽  
Raouia Ayachi ◽  
Zied Elouedi ◽  
Sehl Mellouli ◽  
Nahla Ben Amor
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Smart Cities ◽  
Multicriteria Decision Making ◽  
Policy Makers ◽  
The North ◽  
Proposed Model ◽  
Network Process ◽  
The City

Citizens’ engagement is considered as one of the important dimensions for the development of smart cities since, in the vision of a city of the future (smart city), citizens will be more and more involved in the decision-making process of different issues related to the development of a city. In this context, policy makers face a decision problem where they have to integrate a new dimension, which is the voice of the citizens’ decision. This article proposes a tool based on multicriteria decision making methods to provide decision makers with the best alternative(s) that are based on citizens’ opinions. In order to tackle the potential interdependencies between criteria and also between alternatives in the selection process, we apply a hybrid model integrating the analytical network process and an extended version of technique for order performance by similarity to ideal solution to support group decision-making. The proposed model is applied in the context of participatory budgeting (PB) where citizens decide on the projects in which the money can be invested. This process is complex since it encompasses multiple interdependent criteria that may be conflicting with each other and that are used to take decisions. To illustrate our approach, we will apply the proposed technique for the case study of La Marsa, a city in the north of the capital Tunis (Tunisia) that adopted, since 2014, a PB strategy in which citizens proposed alternatives on how an amount of money can be used to lighten specific streets in the city.

scholarly journals Framework for Developing an Information Technology Maturity Model for Smart City Services in Emerging Economies: (FSCE2)

2021 ◽  
Vol 11 (22) ◽  
pp. 10712
Author(s):  
Wilson Nieto Bernal ◽  
Keryn Lorena García Espitaleta
Keyword(s):  
Information Technology ◽  
Emerging Economies ◽  
Smart City ◽  
Smart Cities ◽  
Maturity Model ◽  
It Services ◽  
Implementation Model ◽  
Proposed Model ◽  
The City

The goal of this research is to design a framework to develop an information technology (IT) maturity model to guide the planning, design, and implementation of smart city services. The objectives of the proposed model are to define qualitatively and measure quantitatively the maturity levels for the IT dimensions used by smart cities (IT governance, IT services, data management and infrastructure), and to develop an implementation model that is practical and contextualized to the needs of any territory that wants to create or improve smart city services. The proposed framework consists of three components: a conceptual model of smart city services, IT dimensions and indicators, and IT maturity levels. The framework was validated by applying it to a case study for the evaluation of the IT maturity levels for the city of Cereté, Colombia.

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

A Contingent/Assimilation Framework for Public Interorganizational Systems Decisions: Should the City of Pittsburgh and Allegheny County Consolidate Information Technology Services?

2018 ◽  
Vol 17 (06) ◽  
pp. 1611-1658 ◽  
Author(s):  
Enrique Mu ◽  
Howard Stern
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Allegheny County ◽  
Financial Variables ◽  
Information Technology Services ◽  
Network Process ◽  
Technology Services ◽  
Specific Factors ◽  
The City

Many times, benefit-opportunity-cost-risk (BOCR) information system (IS)-related decisions are based mainly on short-term financial variables. We propose a broader decision-making framework, using contingency theory to identify environmental specific factors and assimilation theory to identify post-implementation factors to be considered in the decision. This approach is demonstrated within the context of a case study: the decision to merge the City of Pittsburgh and Allegheny County IS functions using an analytic network process (ANP)/BOCR analysis. ANP is a multi-criteria decision-making approach toward making decisions taking into account multiple criteria, alternatives and their interrelationships. The contingency/assimilation approach proposed here can be used in all sorts of IS decisions while the proposed IS merge decision model can be applied, with some contextual modifications, to similar public IS merge decisions. In addition, the ANP/BOCR approach is meticulously explained to serve as a useful reference for prospective users.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

scholarly journals Multicriteria decision making approach as a tool for street network re-design in the city of Bitola, North Macedonia

2019 ◽  
Vol 65 (2) ◽  
pp. 1-5
Author(s):  
Jasmina Bunevska Talevska ◽  
Marija Malenkovska Todorova
Keyword(s):  
Urban Form ◽  
Smart Cities ◽  
Multicriteria Decision Making ◽  
Assessment Procedure ◽  
Urban Mobility ◽  
Urban Network ◽  
Sustainable Urban Mobility ◽  
Pedestrian Crossing ◽  
The City

The current urban planning principles are based on the renewal and use of the cities’ available potentials, with the aim of their sustainable urban mobility development. Today, according to the literature, there is no doubt that urban reconstruction is a much better direction for the development of smart cities since numerous challenges threaten the ability of cities to become viable pillars of sustainable development. The main objective of this paper is to adopt recently developed methodology for the analysis and selection of pedestrian crossing types on the case study location example regarding first phase on sustainable urban mobility plan development for the Municipality of Bitola, North Macedonia, as well as to underline the principles and assessment procedure for the re-design of urban network in Bitola as a sustainable urban form.

scholarly journals An Application of Multicriteria Decision-making for the Evaluation of Alternative Monorail Routes

Mathematics ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 16 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Transportation Planning ◽  
Selection Process ◽  
Urban Transportation ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Route Selection ◽  
Network Process ◽  
Order Preference ◽  
Selection For

Urban transportation planning is important for a metropolitan city. Route selection, which is among the decisions of urban transportation planning, is also important in terms of developing the urban transportation. This study contains the route selection for the planned monorail transport system that is a new system in Ankara. The most suitable monorail route was selected among the determined eight alternative monorail routes. In this decision process, we used the Analytic Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, which is one of the multi-criteria decision-making methods. Finally, we provided the most suitable ranking and planning with the selection process for the development of urban transportation.

Project appraisal and selection using the analytic network process

2007 ◽  
Vol 34 (7) ◽  
pp. 786-792 ◽  
Author(s):  
Irem Dikmen ◽  
M Talat Birgonul ◽  
Beliz Ozorhon
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Project Selection ◽  
Project Appraisal ◽  
Turkish Government ◽  
Network Process ◽  
Benefit Cost

Where prioritization and selection process of large-scale construction projects is concerned, governments should consider various quantitative and qualitative criteria when choosing the best project alternative. The traditional benefit–cost (BC) analysis has some drawbacks in terms of analyzing qualitative attributes that cannot be easily expressed in monetary terms. To eliminate this limitation, multicriteria decision-making techniques are proposed for the solution of project prioritization problems. In this paper, an analytic network process (ANP) model is developed to demonstrate how the project selection process can be carried out by considering both quantitative and qualitative factors, as well as their interrelations. The decision network is grouped under four subnetworks, namely benefits, costs, opportunities, and risks. The selected alternatives are real highway projects that are in the investment agenda of the Turkish government. Using the proposed network model, four investment alternatives are assessed by a team of experts and achieved results demonstrate that the ranking of project alternatives may significantly change when the ANP model is used instead of the classical B/C approach. Key words: analytic network process (ANP), multi-criteria decision making, project selection, benefit–cost analysis.

scholarly journals Resilient Communities: A Novel Workflow

2021 ◽  
Vol 7 ◽  
Author(s):  
Silvio Carta ◽  
Luigi Pintacuda ◽  
Ian Wyn Owen ◽  
Tommaso Turchi
Keyword(s):  
Quantitative Methods ◽  
Sustainable Communities ◽  
Policy Makers ◽  
Clustering Techniques ◽  
Daily Routines ◽  
Proposed Model ◽  
Resilient Communities ◽  
The City ◽  
Different Levels

This study presents a novel workflow to define how resilient communities can be analysed and improved through the optimisation of sustainable design principles through quantitative methods. Our model analyses successful sustainable communities extracting information about daily routines (commuting, working, use of buildings etc.). From these routines, we infer a set of key successful aspects based on location, density and proximity. We then model a resilient community and analyse it using a combination of clustering techniques to find patterns and correlations in the success of existing communities. The proposed workflow is applied to the city of Copenhagen as a case study. The aim of the proposed model is to suggest to designers and city-level policy makers improvements (with manipulation of variables like density, proximity and location of urban typologies) to help them to achieve different levels of sustainable goals as set out by the United Nations Global Challenges including integration inclusiveness and resilience. By using a clustering technique, patterns of proximity have been identified along with density and initial correlations in the observed urban typologies. Some of these correlations were used to illustrate the potential of this novel workflow.

THE APPLICATION OF ANALYTIC NETWORK PROCESS ANP METHODS FOR COMPANY PROFILE SELECTING ( A CASE STUDY )

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 54
Author(s):  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi ◽  
Ike Agustiyani ◽  
Indra Agustian
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Raw Materials ◽  
Selection Process ◽  
Analytic Network Process ◽  
Decision Making Process ◽  
Highest Weight ◽  
Network Process ◽  
Decision Making System

PT. X is a newspaper publishing company. In publishing newspapers, paper raw materials are needed as the main ingredient. In choosing a supplier of paper suppliers, so far the company still applies conventional methods. Improper supplier selection process will have an impact on the sales of the company because it relates to the production process and also the products to be sold later. Many things must be considered in choosing suppliers. In the decision-making process for selecting suppliers, it must be noted that the factors (criteria) that each other might be interrelated. The Analytic Network Process (ANP) method is a method of decision making with many interrelated criteria. This problem is represented in a system with dependence and feedback. The linkages found in the ANP method are linkages in a set of elements (node comparison) and linkages to different elements (cluster comparison). The use of the ANP method will produce priority value weights on all elements contained in the decision making system. From the research that has been done at PT. X there are 4 consideration criteria consisting of 12 sub-criteria, and 3 alternative choices. Based on the results of data processing, alternative suppliers of CV. A was chosen as the best alternative supplier with the highest weight value of 0.158 then CV. B with 0.145 and CV. C of 0.134. Therefore, alternative suppliers of CV. A is the best alternative supplier for the company.

scholarly journals An Integrated Hybrid MCDM Approach for Vendor Selection Problem (Case Study: Iran Khodro)

2013 ◽  
Vol 1 (1) ◽  
pp. 153 ◽  
Author(s):  
Massoud Kassaee ◽  
Mojtaba Farrokh ◽  
Hassan Hosseini Nia
Keyword(s):  
Decision Making ◽  
Uncertain Data ◽  
Analytic Network Process ◽  
Selection Problem ◽  
Vendor Selection ◽  
Structural Relationships ◽  
Proposed Model ◽  
Network Process ◽  
Topsis Technique

Vendor selection is an important issue in most company based on many criteria that includes ambiguous or uncertain data. Therefore in the study, it is essential that fuzzy approach is employed for coping with the uncertainty and achieving more accurate results. In other hand, the relationships between criteria and sub-criteria are complex; for encompassing the complexity, most conventional decision models cannot help us explain the interrelationships among the criteria. In this paper, a hybrid multi-criteria decision making (MCDM) technique is proposed to determine the structural relationships and the interrelationships among all the evaluation’s dimensions based the Analytic Network Process (ANP) method determining appropriate weightings to each sub-criterion. Then alternatives priority should be determined which can aid the decision making. For the purpose, The TOPSIS (technique for order performance by similarity to idea solution) is used to rank all competing alternatives in terms of their overall performances. In MCDM studies and research, applying TOPSIS in ranking alternatives has recently been customary because of its advantages. In the end, a case study of an Iranian company, in automotive industry, is demonstrated to illustrate the proposed model can improve solving of vendor selection problem.

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