Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method

Bui, Tat‐Dat; Tsai, Feng Ming; Tseng, Ming‐Lang; Ali, Mohd Helmi

doi:10.1016/j.resconrec.2019.104625

Cited by 163 publications

(114 citation statements)

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“…This study combines the fuzzy set theory and the Delphi method to help address the lack of expert references and to improve questionnaire quality ( Ishikawa et al 1993 ). It is used to refine the valid indicators based on experts’ linguistic perceptions ( Bui et al, 2020 ). The method can transform their fuzzy assessment into fuzzy numbers efficiently.…”

Section: Data Collection and Methodologymentioning

confidence: 99%

“…The round 1 is aims remove the needless attributes by conforming expert judgments and round 2 allows experts to amend their judgment based on simplify attribute set from round 1 (Lee et al, 2018). The process allows the experts to clarify their selections by rapidly accomplishing conjunction in revising their judgement on validating the proposed attribute set ( Bui et al, 2020 ).…”

Section: Data Collection and Methodologymentioning

confidence: 99%

“… Tseng et al (2018) used the fuzzy DEMATEL to handle complexity, so that examine the attributes distribution based on the identification of driving and dependent powers and offer visual analysis. Bui et al (2020) employed the method to address human linguistic preferences and analyze the complicated interrelationships among the attributes. Tsai et al (2020) used the method to convert the qualitative information into crisp values for visual analysis, and the causal relationships among attributes are examined.…”

Section: Data Collection and Methodologymentioning

confidence: 99%

“…Content and bibliometric analyses is to identify the SSCM indicators based on publications data in the Scopus database ( Gao et al, 2020 ; Shukla et al, 2019 ). FDM is applied to identify valid indicators from the experts’ linguistic perception ( Bui et al, 2020 ). EWM is used to find the indicators’ weights to determine regional performance ( Tseng, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

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151

119

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Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

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Section: Data Collection and Methodologymentioning

confidence: 99%

Section: Data Collection and Methodologymentioning

confidence: 99%

Section: Data Collection and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

Self Cite

151

119

View full text Add to dashboard Cite

show abstract

“…However, developing strategy and implementation alternatives is not easy because different parameters, not only experimental and analytical, influence decision making. "Solid waste management leads to resource loss and limited waste management approaches, nevertheless, there are barriers to understanding and challenges to maintaining sustainable solid waste management practices [5]". This problem has become serious in urban areas, where its inadequate management causes soil, water and environmental pollution, which can affect public health.…”

Section: Introductionmentioning

confidence: 99%

Analytical Methodology for the Identification of Critical Zones on the Generation of Solid Waste in Large Urban Areas

Meza

Rodrigo-Ilarri

Hernandez

et al. 2020

IJERPH

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One of the main environmental issues to address in large urban areas is the ever-increasing generation of municipal solid waste (MSW) and the need to manage it properly. Despite significant efforts having been made to implement comprehensive solid waste management systems, current management methods often do not provide sustainable alternatives which ensure the reduction of solid waste generation. This paper presents an analytical methodology that employs a combination of geographic information system techniques (GIS) along with statistical and numerical optimization methods to evaluate solid waste generation in large urban areas. The methodology was successfully applied to evaluate MSW generation in different exclusive service areas (ASES) of the city of Bogotá (Colombia). The results of the analysis on the solid waste generation data in each collection area in terms of its socioeconomic level are presented below. These socioeconomic levels are explained by defining different strata in terms of their purchasing power. The results demonstrate the usefulness of these GIS and numerical optimization techniques as a valuable complementary tool to analyze and design efficient and sustainable solid waste management systems.

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Digital innovations for micro, small and medium enterprises in the net zero economy: A strategic perspective

Sonar,

Ghag,

Kharde

et al. 2023

Bus Strat Dev

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In order to achieve a net zero economy, there must be a thorough digital revolution where sustainability is given top priority by spurring innovation, generating efficiencies, and improving services. Data show that digitalization is essential to reaching sustainable development goals as the world community struggles to meet the urgent need to combat climate change. Therefore, this study aims at identifying important barriers to digital innovation for MSMEs in a net‐zero economy. This study used past academic literature and the fuzzy‐Delphi method to identify important barriers and the weighted influence nonlinear gauge system (WINGS) method to prioritize and develop contextual relationships between identified barriers. As per the findings, lack of organizational resources and support is the most crucial barrier to digital innovation. This is followed by challenges in designing a digital strategy. The novelty of this study is the identification of digital innovation barriers for MSMEs from net‐zero perspectives and prioritizing them using the WINGS method. This work will help practitioners to define clear organizational policies on digital innovation which will offer great promise for MSMEs to increase their performance.

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Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method

Cited by 163 publications

References 50 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Analytical Methodology for the Identification of Critical Zones on the Generation of Solid Waste in Large Urban Areas

Digital innovations for micro, small and medium enterprises in the net zero economy: A strategic perspective

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