What drives clients to purchase green building?: The cybernetic fuzzy analytic hierarchy process approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Serdar Durdyev ◽  
Saeed Reza Mohandes ◽  
Amir Mahdiyar ◽  
Syuhaida Ismail
Keyword(s):  
Developing Countries ◽  
Analytic Hierarchy Process ◽  
Purchase Intention ◽  
Green Building ◽  
Influential Factors ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Hierarchy Process

PurposeHomebuyers' motivation to purchase the green building (GB) is vital for the widespread adoption of greener practices and for tackling the adverse impact of the built environment. In this regard, through the lenses of qualified and competent GB developers (GBD) and real estate agents (REAs) using judgment sampling technique, this paper aims to evaluate the factors stimulating the purchase intention of Malaysian homebuyers.Design/methodology/approachThe study uses the interval-valued fuzzy Delphi method (IVFDM) to identify influential factors, while the cybernetic fuzzy analytic hierarchy process (CFAHP) for prioritizing the identified factors according to their significance in nationwide promotion of GBs is utilized.FindingsThe findings, which are consistent with those reported in the literature and validated by the focus group, uncover the most prominent factors that drive the purchase intention of GB homebuyers. The results indicate that the homebuyers are familiar with the benefits of GB; however, the benefits are not sufficient to overcome the perceived “high cost” of green practices. Hence, homebuyers still seek financial incentives, which is a clear indication that financial issues are the most motivating factor.Practical implicationsIncrease in informative promotion of GB is necessary, particularly among prospective homebuyers in developing countries where GB adoption is in its infancy. Frontline players (those who are responsible for wider promotion) can utilize the factors that this study found to be important to identify appropriate steps to increase prospective homebuyers' motivation for purchasing greener dwellings.Originality/valueThe contribution of this paper is threefold. First, review and identification of the most cited determinants that have been reported in the context of the subject. Second, this paper presents the most significant determinants in a developing country setting through the lenses of Malaysian experts in the area. Third, improvement measures could be implemented in Malaysia and other developing countries to promote the GB paradigm with an aim to make the building environment more sustainable.

scholarly journals A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluseye Adewale Adebimpe ◽  
David G. Proverbs ◽  
Victor Oluwasina Oladokun
Keyword(s):  
Analytic Hierarchy Process ◽  
Integrated Approach ◽  
Quantitative Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Individual Property ◽  
Content Type ◽  
Sea Levels ◽  
Qualitative Approaches ◽  
Hierarchy Process

PurposeRecent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.Design/methodology/approachA synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.FindingsThe implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.Social implicationsThe methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.Originality/valueWhereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.

Comprehensive evaluation of Iranian regional innovation system (RIS) performance using analytic hierarchy process (AHP)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Asghar Sadabadi ◽  
Zohreh Rahimi Rad ◽  
Kiarash Fartash
Keyword(s):  
Analytic Hierarchy Process ◽  
Comprehensive Evaluation ◽  
Innovation System ◽  
Assessment Model ◽  
Regional Innovation ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose This study aims to to provide a model based on the context and conditions of the regions in Iran for monitoring regional innovation systems (RISs). Design/methodology/approach In the first stage, after reviewing the literature, interviewing the experts, and then thematic analyzing the content of the obtained data, initial Dimensions and indicators were identified. Then, a fuzzy Delphi technique and a seven-scale questionnaire were used to test the results and expert opinion. Finally, after the extraction and correction of the indicators to evaluate the RISs, a comprehensive model was identified in 5 dimensions, 16 indicators and 176 sub-indicators. In the next step, the importance weights of the main 16 indicators were determined using the analytic hierarchy process method. Findings The proposed RIS assessment model consists of firms’ behavior and regional interactions, economy, human capital, innovative outputs, locational features, that each dimension has its own indicators and sub-indicators, each one is discussed in the paper. Originality/value The research contribution is that the proposed RIS model of this research is the first model that is appropriate to the context of Iran.

scholarly journals Uma proposta de métodos híbridos para critérios e subcritérios de implantação do Sistema Produto-Serviço (PSS)

Exacta ◽  
2016 ◽  
Vol 14 (3) ◽  
pp. 431-448
Author(s):  
Nara Medianeira Stefano
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Fuzzy Delphi ◽  
Hierarchy Process

Neste artigo, objetivou-se avaliar os critérios e subcritérios para implementação de PSS (Sistema Produto-Serviço), com base nas dimensões de qualidade, por meio de metodologia híbrida (Fuzzy Delphi – FDelphi e Fuzzy Analytic Hierarchy Process – FAHP). O método FDelphi foi utilizado para validar os critérios e subcritérios retirados da literatura, por meio de entrevista com cinco especialistas em implementação do PSS, e o FAHP foi aplicado para calcular os pesos relativos dos critérios selecionados e subcritérios. Os resultados demonstram que os critérios relevantes foram: reestruturação, fiabilidade einovação e tecnologia. Quanto aos subcritérios (peso global), os mais influentes foram: aprendizagem e compreensão dos requisitos de necessidade e satisfação do cliente. Com os achados neste artigo, espera-se contribuir para o melhor desempenho das empresas que desejam implantar o PSS.

Primary influential factors in the management of public transportation projects in Taiwan

2007 ◽  
Vol 34 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Chau-Ping Yang
Keyword(s):  
Analytic Hierarchy Process ◽  
Price Index ◽  
Government Procurement ◽  
Influential Factors ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Transportation Projects ◽  
Five Factors ◽  
Hierarchy Process ◽  
Laws And Regulations

The primary influential factors must be screened out to improve the efficiency of management of public projects. This study synthesizes 91 possible influential factors in the management of transportation projects in Taiwan. Following the procedures of the multicriteria evaluation method and the fuzzy analytic hierarchy process (FAHP), the primary influential factors are screened out and ranked in order of priority. After analysis, it was found that the top five primary influential factors for responsible entities are (i) introduction of the earned value analysis, (ii) efficiency of the geotechnical survey, (iii) environmental laws and regulations of the local government, (iv) price-index fluctuation, and (v) on-site safety management. The top five factors ranked by the supervisory entities are (i) manpower, (ii) revision of laws and regulations, (iii) price-index fluctuation, (iv) traffic conditions, and (v) mistakes or faults of design. In the contractor phase, the top five factors are (i) bidding price, (ii) scope of the contractor, (iii) price-index fluctuation, (iv) management education and training system, and (v) government procurement act.Key words: management, influential factors, transportation project, fuzzy analytic hierarchy process (FAHP), Taiwan.

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