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

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.

2021 ◽  
Vol 20 (1) ◽  
pp. 119-130
Author(s):  
Dana Marsetiya Utama ◽  
Bianca Maharani ◽  
Ikhlasul Amallynda

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.


Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti

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.


2018 ◽  
Vol 12 (4) ◽  
pp. 376-386 ◽  
Author(s):  
Xiao-Guang Zhou ◽  
Yang-Fan Ding ◽  
Mi Lu

Intuitionistic fuzzy preference relations can take membership degrees, non-membership degrees, and hesitancy degrees into account during decision making. It has good practicability and flexibility in dealing with fuzzy and uncertain information. As for analytic network process, it is performed by thinking over the interaction and feedback relationships between criteria and indices, so that an effective method is provided for multi-criteria decision making. An index system with network structure for evaluating the bonds is presented, and a comprehensive method by combining the advantages of intuitionistic fuzzy preference relations and analytic network process is proposed to select and rank the bonds. A case study is given by the proposed method as well.


2016 ◽  
Vol 34 (6) ◽  
pp. 740-756 ◽  
Author(s):  
Imen Boukhris ◽  
Raouia Ayachi ◽  
Zied Elouedi ◽  
Sehl Mellouli ◽  
Nahla Ben Amor

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davoud Yadegari ◽  
Soroush Avakh Darestani

Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects.


2021 ◽  
Vol 9 ◽  
Author(s):  
Ahmad Mumani ◽  
◽  
Ghazi M. Magableh ◽  

The number of green energy options in different fields is growing because of the need for reducing energy consumption and eliminating gas emission. One of these options is the use of eco-friendly cars produced by various manufacturers. Given the many available options and conflicting evaluation criteria, evaluation of such options becomes complex, and different multi-criteria decision-making (MCDM) approaches have been used to select the most suitable car in terms of eco-friendly car selection. Previous research has been somewhat limited with respect to consideration of interdependencies between evaluation criteria and multi-levels of preference. This paper proposes a new integrated MCDM approach with the capability for considering interdependent criteria for eco-friendly car evaluation and different levels of preference. An analytic network process (ANP) will be used to evaluate the levels of importance of interdependent criteria, and ELECTRE III will be modeled to include thresholds of preference. The introduced model, based on twenty-eight evaluation criteria, was demonstrated in a case study dealing with five alternative electric and hybrid cars. The results from this model were compared to a traditional decision-making method and better results were obtained from the model. The model can help users make proper decisions regarding their future car options in a comprehensive manner. Sensitivity analysis showed the robustness of the model under different setups.


JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 54
Author(s):  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi ◽  
Ike Agustiyani ◽  
Indra Agustian

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.


2010 ◽  
Vol 16 (4) ◽  
pp. 672-689 ◽  
Author(s):  
Mónica García-Melón ◽  
Tomás Gómez-Navarro ◽  
Silvia Acuña-Dutra

Decision‐making for sustainable development involves high levels of uncertainty. In the present paper a study about sustainable management of tourism in national parks is presented. A case study approach is applied to coastal national parks (NP) in Venezuela. Tourism can contribute to the sustainability of national parks but currently it is their main cause of environmental impact. The Government of Venezuela and its natural park managers are therefore looking for new sustainable tourism development strategies. To help managers in making decisions about NP sustainability a new multicriteria approach based on the Analytic Network Process (ANP) technique is proposed. ANP provides a more realistic approach for modelling complex situations such as decision making for sustainable tourism management because ANP allows the general study of the quantitative and qualitative explanatory variables and the incorporation of feedback and interdependence relationships among variables. A case study has been carried out with the help of two experts closely related to the 12 coastal NP analyzed and 8 stakeholders of “Los Roques” national park who provided most of the information needed. Santrauka Priimant darnios plėtros sprendimus kyla labai daug neapibrėžtumų. Straipsnyje pateikta darnios nacionalinių parkų turizmo vadybos analizė. Straipsnio tyrimo objektas – Venesuelos pakrantės nacionaliniai parkai. Turizmas gali prisidėti prie nacionalinių parkų darnos didinimo, tačiau šiuo metu jam būdingas tiesiog didelis poveikis aplinkai. Todėl Venesuelos Vyriausybe ir gamtos parku vadovai ieško naujų darnaus turizmo plėtros strategijų. Nacionalinių parkų vadovams straipsnio autoriai siūlo taikyti daugiakriteriniais metodais sukurtą analitinio tinklo proceso (ATP) techniką. Jis padėtų vadovams priimti su nacionaliniu parkų darną susijusius sprendimus. ATP leidžia tikroviškiau modeliuoti tokias sudėtingas situacijas, kaip sprendimų priėmimas darnaus turizmo vadyboje, nes su ATP įmanoma ištirti kiekybinius ir kokybinius kintamuosius, galima įdiegti grįžtamąjį ryši ir tarpusavio ryšius tarp kintamųjų. Ištirtas “Los Roques” nacionalinis parkas. Tyrime dalyvavo ekspertai ir minėto parko darbuotojai, kurie suteikė dauguma reikalingos informacijos.


2013 ◽  
Vol 1 (1) ◽  
pp. 153 ◽  
Author(s):  
Massoud Kassaee ◽  
Mojtaba Farrokh ◽  
Hassan Hosseini Nia

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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