scholarly journals Analysing the Purchasing Decision-Making for a Recycled Materials Used Garment by Dematel Method

2022 ◽  
Author(s):  
Burak SARI ◽  
Derya TAMA BİRKOCAK ◽  
Meral İŞLER
Keyword(s):  
Decision Making ◽  
Recycled Materials ◽  
Purchasing Decision ◽  
Materials Used

Rethinking Waste Through Design

2021 ◽  
pp. 449-459
Author(s):  
Caroline O'Donnell ◽  
Dillon Pranger
Keyword(s):  
Case Studies ◽  
Construction Industry ◽  
Recycled Materials ◽  
Sustainable Practices ◽  
The Us ◽  
Materials Used ◽  
Made In

This chapter will study the proliferation of architectural follies that use recycled or recyclable materials in a move to promote better practices in waste and recycling. Given the slow uptake of this impetus in the architectural world proper, the text will investigate the obstacles in engaging in materially sustainable practices in the construction industry as well as case studies for rethinking currently problematic materials. However, while some improvements have been made in the construction industry's use of recycled materials, the industry often dismisses the afterlife of materials used throughout the process. What are the motivations of the industry and how can we incentivize circular thinking in an industry that produces hundreds of millions of tons of waste per year in the US?

scholarly journals Evaluating the materials used for hydrogen production based on photoelectrochemical technology

2019 ◽  
Vol 8 (2) ◽  
pp. 169 ◽  
Author(s):  
Mohammdreza Nazemzadegan ◽  
Roghayeh Ghasempour
Keyword(s):  
Decision Making ◽  
Hydrogen Production ◽  
Fossil Fuels ◽  
Material Selection ◽  
H2 Production ◽  
University Professors ◽  
Selection Approach ◽  
Materials Used ◽  
Physical And Chemical ◽  
Pec Water Splitting

Hydrogen as a CO2-free fuel has been considered as a serious alternative for problematic fossil fuels in recent decades Photoelectrochemical (PEC) water splitting is a developing solar-based technology for hydrogen production. In this study, some possible options for upgrading this technology from R&D stage to prototype stage through a material selection approach is investigated. For these purpose, TOPSIS algorithm through a multi criteria decision making (MCDM) approach was utilized for evaluating different (PEC)-based hydrogen production materials. TiO2, WO3 and BiVO4 as three semiconductors known for their PEC application, were selected as alternatives in this decision-making study. After defining a set of criteria, which were assessed based on similar studies and experts' visions, a group of ten PEC-experts including university professors and PhD students were asked to fill the questionnaires. The eight criteria considered in this study are include "Study Cost", "Synthesis Simplicity", "Facility & Availability", "Deposition capability on TCO", "Modifiability", "Commercialization in H2 production", "Physical and Chemical Durability" and "Eco-friendly Fabrication". The final TOPSIS results indicates that TiO2 is selected as the best semiconductor for further investments in order to upgrade the PEC-based hydrogen production technology from R&D level to prototype stage. ©2019. CBIORE-IJRED. All rights reserved

Green maintenance for heritage buildings: paint repair appraisal

2017 ◽  
Vol 35 (1) ◽  
pp. 63-89 ◽  
Author(s):  
Brit Anak Kayan
Keyword(s):  
Decision Making ◽  
Carbon Emissions ◽  
Maintenance Phase ◽  
Content Type ◽  
Embodied Carbon ◽  
Heritage Buildings ◽  
Materials Used ◽  
Maintenance Model ◽  
Practical Implications ◽  
Calculation Procedures

Purpose Sustainability encapsulates economic, environmental and societal domains. In order to conform to these domains, the efficiency of maintenance and repair of heritage buildings is no exception. Emergently, environmental considerations for sustainable heritage buildings repair have become increasingly important. The purpose of this paper is to present a decision-making process based on “Green Maintenance Model” – an appraisal approach based on life cycle assessment (LCA) of paint repair options for heritage buildings. Design/methodology/approach Calculation procedures of Green Maintenance model within selected boundaries of LCA enable evaluation of carbon emissions, in terms of embodied carbon expenditure, expended from paint repair for heritage buildings during maintenance phase. Findings “Green Maintenance” model could be understood as a carbon LCA of paint repair and has been recognized in reducing carbon emissions. Significantly, the model underpins decision-making for repair options for heritage buildings. Practical implications It must be emphasized that the calculation procedures of Green Maintenance model is not limited to heritage buildings and can be applied to any repair types, materials used and building forms. More importantly, this model practically supports environmentally focused conservation and promotes sustainable repair approach. Social implications The implementation of Green Maintenance model highlights the efficiency of repairs options that may be adopted. Originality/value Green Maintenance shows that generated environmental maintenance impact from repair options relays the “true” embodied carbon expenditure contextualized within the longevity of repair and its embodied carbon. This will consequently allow rationale in appraisal of repair options.

scholarly journals The potential of recycled materials used in agriculture to contaminate food through uptake by livestock

2019 ◽  
Vol 667 ◽  
pp. 359-370 ◽  
Author(s):  
A.R. Fernandes ◽  
I.R. Lake ◽  
A. Dowding ◽  
M. Rose ◽  
N.R. Jones ◽  
...  
Keyword(s):  
Recycled Materials ◽  
Materials Used

scholarly journals Faktor Bauran Pemasaran Yang Mempengaruhi Konsumen Terhadap Keputusan Pembelian Produk Pada Konsumen Starbucks Coffee

2019 ◽  
Vol 3 (1) ◽  
pp. 157-164
Author(s):  
Arief Satriansyah
Keyword(s):  
Decision Making ◽  
Sampling Technique ◽  
Marketing Mix ◽  
Survey Method ◽  
Purchase Decision ◽  
Purchasing Decisions ◽  
Product Price ◽  
Purchasing Decision ◽  
Joint Contribution ◽  
Method Of Correlation

 Abstract - This research was conducted to find out how much influence of the product, price, place and promotion on Starbucks Coffee Bogor city consumers' decision making. The research used the survey method with a sample of 100 people. The sampling technique is non-probability sampling: judgment sampling. The analytical method used is the method of correlation analysis and multiple regression. The results of the study show that both partially and jointly the factors of product, price, place, and promotion have a significant influence on product purchase decision making. The higher the level of influence of the product, price, place and promotion, the stronger the influence of product purchasing decisions. Based on the results of the analysis of the factors that influence the purchasing decision shows the adjusted R2 value of 0.663, this means that all variables derived from the marketing mix have a joint contribution of 66.3% to the dependent variable (Y), namely the purchasing decision. The remaining 33.7% is influenced by other factors.                                                             Keywords: marketing mix, decision making, Starbuck Coffee

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