The pathology of housing policies in Iran: a criterion-based analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 453-473 ◽  
Author(s):  
Moslem Zarghamfard ◽  
Abolfazl Meshkini ◽  
Ahmad Pourahmad ◽  
Beniamino Murgante
Keyword(s):  
Housing Policy ◽  
Social Stratification ◽  
Qualitative Method ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Critical Perspective ◽  
Housing Policies ◽  
Human Welfare ◽  
Content Type ◽  
Comprehensive Study

Purpose Housing policy is a key tool in urban development and has multiple functions that directly affect human welfare. This study aims to review housing policies in Iran from a critical perspective. In fact, the study and pathology of housing policies are considered in this research. Design/methodology/approach To advance this research, a quantitative (fuzzy TOPSIS and fuzzy AHP) method was used to rank the policies and the qualitative method (interview and literature review) was used for the pathology of housing policies. Findings The failure of policies to provide housing in Iran is decisive, but social housing policy has a relative superiority to other policies. Causes of failure of Iranian housing policies are as follows in a pathological perspective: commodification and speculative approach to housing; lake of social and physical sustainability; social stratification and classification; inconsistency with environmental conditions; non-indigenous nature of housing policies; exclusion of local institutions in the decision-making process; and the dominance of a populist perspective on housing. Originality/value This study is a comprehensive study because it has been extracted from the dissertation. By reading this study, the reader will be aware of the general conditions of the Iranian housing sector.

Assessing the feasibility of blockchain technology in industries: evidence from Turkey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Ali Ihsan Ozdemir ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  
Keyword(s):  
Supply Chain ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Content Type ◽  
Blockchain Technology ◽  
Consulting Firms ◽  
Utmost Care ◽  
The Right ◽  
Agriculture And Food

PurposeThe objective of this study is to assess quantitatively how feasible blockchain is for various industries, such as logistics and supply chain, health, energy, finance, automotive, pharmaceutical and agriculture and food using a comprehensive list of indicators.Design/methodology/approachA decision aid was applied to the problem of identifying the feasibility of blockchain in Turkish industries. To this end, first, a set of indicators was identified. Then, the fuzzy AHP and fuzzy TOPSIS were utilized to assess the feasibility comparatively using the data gathered from a group of experts. Finally, a scenario analysis was conducted to ensure the consistency of our evaluation.FindingsThe findings of this study suggest that comparatively, logistics and supply chain, finance and health industries are the most feasible industries for blockchain. This study further suggests that blockchain is the least feasible for the automotive industry compared to the rest of the identified industries.Research limitations/implicationsIt is cumbersome to find out the respondents who have sufficient knowledge of both blockchain and the identified industries. Even if we took the utmost care in identifying the right respondents, we limited our search to the biggest industrial hubs of Turkey.Practical implicationsThe findings of this research may help various decision-makers employed in governments, conglomerates, software and consulting firms and national research institutions make more informed decisions and allocate their resources more effectively.Originality/valueTo this date, the current studies have solely investigated possible research opportunities in blockchain and demonstrated several blockchain applications in stand-alone cases. To the best of our knowledge, however, no single study exists that evaluates the feasibility of blockchain comparatively and holistically among a group of industries using various indicators.

Evaluating hotel websites through the use of fuzzy AHP and fuzzy TOPSIS

2020 ◽  
Vol 13 (12) ◽  
pp. 3747-3765
Author(s):  
Rahmi Baki
Keyword(s):  
Information Quality ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Step Method ◽  
Analytic Hierarchy ◽  
Website Evaluation ◽  
Content Type ◽  
Ideal Situation ◽  
Order Preference ◽  
Hotel Websites

Purpose The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites. Design/methodology/approach The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation. Findings The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information. Practical implications This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer. Originality/value The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.

An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽  
2019 ◽  
Vol 49 (9) ◽  
pp. 2263-2284 ◽  
Author(s):  
Chunxia Yu ◽  
Zhiqin Zou ◽  
Yifan Shao ◽  
Fengli Zhang
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Risk Attitude ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ann Model ◽  
Content Type ◽  
Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

A fuzzy MCDM algorithm and practical decision aid tool to determine the best ROV design alternative

Kybernetes ◽  
2015 ◽  
Vol 44 (4) ◽  
pp. 623-645 ◽  
Author(s):  
Birol Ülker
Keyword(s):  
Sensitivity Analysis ◽  
Decision Process ◽  
Decision Aid ◽  
Fuzzy Ahp ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Manufacturing Companies ◽  
Remotely Operated Vehicle ◽  
Content Type ◽  
Design Alternative

Purpose – Proposing a fuzzy multi-criteria decision making (MCDM) algorithm that is able to incorporate the heterogeneousness effect of DM group into the decision process, in order to determine the best remotely operated vehicle (ROV) design alternative to manufacture and developing a practical decision aid tool based on this algorithm. The paper aims to discuss these issues. Design/methodology/approach – An algorithm utilizes fuzzy AHP Buckley’s approach for modeling heterogeneousness of the DM group, fuzzy AHP Chang’s extent analysis to calculate the priority values of criteria and Chen’s fuzzy TOPSIS for ranking the alternatives and finally group working technique for initiation issues is developed. MATLAB is used to implement the algorithm and generate a decision aid tool. Real life application and sensitivity analysis is performed by the help of generated tool. Literature and background explanations are also provided. Findings – A MCDM algorithm that incorporates the heterogeneousness effect of the DM group into the decision process is introduced. Sensitivity analysis suggested the independence of the final result from DM group and criteria set. A practical decision aid tool is generated for ROV manufacturing companies. Practical implications – A computerized MCDM aid tool that incorporates heterogeneousness of the DM group into the decision process is generated. Tool let ROV manufacturing companies to evaluate ROV design alternatives with respect to qualitative and quantitative criteria and determine proper choice. Originality/value – Determination of the proper ROV design alternative to manufacture gap within the literature filled with an algorithm that provides more reliable results due to its incorporation the heterogeneousness of the DM group into the decision process characteristic. A practical decision aid tool is generated.

scholarly journals Convenience store locations prioritization: a fuzzy TOPSIS-GRA hybrid approach

2020 ◽  
Vol 2 (4) ◽  
pp. 281-302
Author(s):  
Jyotdeep Singh ◽  
Parnika Tyagi ◽  
Girish Kumar ◽  
Saurabh Agrawal
Keyword(s):  
Fuzzy Ahp ◽  
Geographical Area ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Population Characteristics ◽  
Convenience Store ◽  
Large Sample Size ◽  
National Capital Region ◽  
Content Type ◽  
National Capital

PurposeThe objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.Design/methodology/approachA case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.FindingsIt is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.Research limitations/implicationsA large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.Originality/valueThe study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

Affordable housing policy development: public official perspectives

2019 ◽  
Vol 12 (5) ◽  
pp. 934-951
Author(s):  
Xiang Cai ◽  
Wei-Ning Wu
Keyword(s):  
Policy Implementation ◽  
Housing Policy ◽  
Affordable Housing ◽  
Local Governments ◽  
Central Government ◽  
Intergovernmental Relations ◽  
Public Officials ◽  
Housing Policies ◽  
Content Type ◽  
Local Officials

Purpose This paper aims to examine the factors affecting the implementation of affordable housing policies in two Chinese municipal governments. Since 2010, the Chinese government has enforced an ambitious plan to adopt affordable housing provisions accompanying a series of urbanization programs. Furthermore, the policy implementation at the local level has led to various outcomes but has been scarcely investigated. The views of policy implementation from local officials are crucial in the context of intergovernmental relations. Therefore, it is important to examine the views of local public officials on the development status and challenges in the context of Chinese intergovernmental relations. Design/methodology/approach This paper verifies which factors exert significant impacts on the willingness of local officials to adapt affordable housing policies by using the logistic regression model and marginal effect estimation. With original data from the fieldwork surveys of city administrators, the measures incorporated local characteristics as well as the intergovernmental support from the central government in two selected megacities, Guangzhou and Shenzhen. Findings There are significant differences in local investment between the selected cities. Intergovernmental support from the central government, city development strategies, implementation perceptions of local governments and land supply, all significantly impact the selection of an affordable housing program and its overall implementation. Originality/value To the best of the authors’ understanding, this study would be one of the first to empirically explore the view of municipal public officials on affordable housing policy in China. This paper provides an empirical analysis from municipal public officials on the local implementation of affordable housing policies in China. As the outcome of housing policies actually depends on the implementation willingness of public officials and the overall performance of local governments, this explorative study would benefit the future development of China’s affordable housing policy.

Housing policy and demographic changes: the case of Iran

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Safar Ghaedrahmati ◽  
Moslem Zarghamfard
Keyword(s):  
Qualitative Method ◽  
Sampling Method ◽  
Essential Element ◽  
Housing Policies ◽  
Content Type ◽  
Demographic Indicators ◽  
The Relationship ◽  
Practical Implications ◽  
Unpleasant Consequence

Purpose Housing is an essential element in the dynamics of urbanization. One of the main reasons for urbanization is population growth. As the population grows, the need for housing also increases. Therefore, the purpose of this study is to examine the links between housing policies and plans and demographic issues in Iran. Design/methodology/approach The research has been conducted using the qualitative method. First, 14 main indicators of the population that occurred over the past 40 years have been extracted. To investigate the role of demographic indicators in seven main housing plans and policies in Iran, 30 indigenous housing experts have been interviewed. A criteria-based sampling method has been used in this research. Findings The results of this study show that demographic developments have been neglected in the formulation of Iranian housing policies and plans. It is also worth noting that the lack of attention to demographic issues a main reason for the failure of housing policies in Iran. Practical implications As an important implication, the present paper revealed that the mere submission of planning to the economists has been associated with an unpleasant consequence in Iran, and now, it is time to use various expertise and sciences in this important process, as well. Certainly, the use of other sciences such as urban planners contribute greatly to the housing promotion of plans. Originality/value In the present research, the relationship between housing and population changes has been investigated because of the significance of the housing sector in Iran besides the problems in the implementation of housing plans.

Fuzzy AHP-TOPSIS method for ranking the solutions of environmental taxes implementation to overcome its barriers under fuzzy environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad Khodamipour ◽  
Mahdi Askari Shahamabad ◽  
Fateme Askari Shahamabad
Keyword(s):  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Developed Countries ◽  
Environmental Taxes ◽  
Knowledge Gap ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Effective Implementation ◽  
Fuzzy Environment

PurposeMany developed countries have been using environmental taxes in their economic systems for many years. These taxes have a great impact on reducing the environmental damages of companies and individuals in society. But many developing countries have not used this tool effectively yet, and some countries face barriers to the effective implementation of environmental taxes that make it difficult and unsuccessful. To increase the effectiveness of the implementation of environmental taxes, governments must prioritize barriers and solutions to overcome its barriers. The identified knowledge gap of the pre-literature review is that an overview of the identification which completely considers all barriers and solutions of environmental taxes implementation does not exist. In response to this knowledge gap, this study aims to identify and prioritize the barriers and solutions of environmental taxes implementation.Design/methodology/approachRanking the barriers and solutions is a complicated multi-criteria decision making (MCDM) problem that requires consideration of multiple feasible alternatives and conflicting tangible and intangible criteria. This study addresses the prioritization of solutions of Environmental Taxes implementation by proposing hybrid MCDM methods based on the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and the Fuzzy Technique for order preference by similarity to an ideal solution (Fuzzy-TOPSIS) under fuzzy environment. Fuzzy AHP is used to determine the weight of each barrier using a pairwise comparison, and fuzzy TOPSIS is used to finalize the ranking of solutions for more effective implementation of environmental taxes.FindingsThe results showed that environmental tax reform (ETR) (S3) has the highest value among the solutions for more effective implementation of environmental taxes. The result of the proposed model is validated by performing sensitivity analysis.Research limitations/implicationsThis study could foster research on the discussion of these barriers and precise ways of implementing solutions to pay more attention to environmental taxes.Practical implicationsRatings of solutions can be a guide and help governments to improve the implementation of environmental taxes or even develop this policy by being aware of the ranking of barriers and solutions.Social implicationsThis paper creates a new perspective on the effective implementation of environmental taxes, which is closely related to improving environmental performance and increasing social welfare through improving the tax system.Originality/valueFor the first time, this study comprehensively identifies barriers and solutions for more effective implementation of environmental taxes and ranks them using two MCDM techniques.

Application of fuzzy AHP – TOPSIS for ranking additive manufacturing processes for microfabrication

2018 ◽  
Vol 24 (2) ◽  
pp. 424-435 ◽  
Author(s):  
Anand M.B. ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Fuzzy Ahp ◽  
Selective Laser Sintering ◽  
Fuzzy Topsis ◽  
Technology Selection ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Criteria Weights ◽  
Am Processes

Purpose The purpose of this study is to rank additive manufacturing (AM) processes for microfabrication using integrated fuzzy analytic hierarchy process (AHP)-technique for order of preference by similarity to ideal solution (TOPSIS). Design/methodology/approach AM technology selection is formulated as multi-criteria decision-making (MCDM) problem and ranking is obtained using fuzzy AHP-TOPSIS. Five candidate processes considered are laser-induced forward transfer (LIFT), microstereolithography, micro-selective laser sintering (micro-SLS), inkjet, micro 3D printing. Findings Criteria weights are obtained using fuzzy AHP, and ranking is obtained using fuzzy TOPSIS. The top ranked criteria include material compatibility, geometrical complexity and minimum feature size. The ranking sequence is LIFT > microstereolithography > micro-SLS > inkjet > micro-3D printing. Research limitations/implications In the present study, ten criteria and five alternatives are used. In future, additional criteria and alternatives could be considered in line with technological advancements. Practical implications The generated ranking enabled the selection of appropriate AM process for microfabrication. Originality/value The application of hybrid MCDM approach for ranking AM processes for microfabrication is the contribution of the study.

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