Sustainability Concept

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Marek Jabłoński - One of the best experts on this subject based on the ideXlab platform.

  • Value Migration to the Sustainable Business Models of Digital Economy Companies on the Capital Market
    Sustainability, 2018
    Co-Authors: Marek Jabłoński
    Abstract:

    The topic of a sustainable business model is currently the subject of much scientific research that covers a wide range of topics, from terminological aspects to aspects related to the impact of Sustainability factors on company development. So far, however, the topic of Sustainability in business models operating in electronic markets has only been studied to some extent. This article covers broad research into the value migration to sustainable business models of companies operating in the digital economy on the capital market. The aim of the article is to present key results of research into value migration to sustainable business models of companies operating in the digital economy on the capital market. The relevant literature on the trends in the application of the Sustainability Concept in the digital economy, the attributes of business models, and the interpretation of value within the Concept of business models is also reviewed. The results obtained are ambiguous.

Nikolai V Hovanov - One of the best experts on this subject based on the ideXlab platform.

  • energy system assessment with Sustainability indicators
    Energy Policy, 2000
    Co-Authors: Naim H Afgan, Maria Da Graca Carvalho, Nikolai V Hovanov
    Abstract:

    Abstract The paper presents an attempt to select, define and apply a set of Sustainability indicators for the energy system assessment. Starting from the general Sustainability Concept, a set of indicators is defined reflecting specific criteria for the energy system evaluation. Particular attention is devoted to the resource, environment, social and economic criteria. Among these groups of criteria there are individual indicators emphasising respective aspect of the Sustainability Concept. This approach has its limitation due to the lack of data for serious consideration of the system. But it should be anticipated that these excises might serve as the guidance for the eventual future application. Also, this methodology for the assessment of energy system will become an useful tool only if it proves useful in the engineering practice. The example under consideration is an island with only individual consumption to be satisfied with solar, wind, biomass and oil-fired power plant which represent four options under consideration. The set of indicators is defined and determined with the aim to demonstrate the method of decision making procedure in selecting the option which meet selected indicators numerical values and constrain reflecting the non-numeric information of weighting factor for the determination of general criteria for the selection of appropriate option.

Oriol Pons - One of the best experts on this subject based on the ideXlab platform.

  • multi criteria decision making method for assessing the Sustainability of post disaster temporary housing units technologies a case study in bam 2003
    Sustainable Cities and Society, 2016
    Co-Authors: S Amin M Hosseini, Albert De La Fuente, Oriol Pons
    Abstract:

    Abstract Temporary housing units (THUs) have been used for displaced population (DP) in the aftermath of natural disasters to serve as an alternative residence while the permanent housing process is completed. A THU is often provided as a prefabricated system, which has been criticized due to the economic, environmental, and social aspects of THUs. However, this model has been widely used in previous recovery programs. Additionally, it should be highlighted that the lack of potential of certain areas persuades decision-makers to implement the THUs. This paper presents a new model for choosing optimized THUs based on the Sustainability Concept. This model supports decision-makers in selecting a more adequate type of THU, to reduce the negative impact of temporary housing (TH) when there is no other possibility. The Integrated Value Model for Sustainable Assessment (MIVES), a Multi-Criteria Decision Making (MCDM) model that includes the value function Concept, is used to evaluate the Sustainability value of each THU alternative. THU technologies that had been suggested for the Bam earthquake recovery program by a semi-public organization have been analysed by this method to achieve two aims: (1) to determine the most sustainable technology to use and (2) to test the designed model.

Rolf Frischknecht - One of the best experts on this subject based on the ideXlab platform.

Kerry Kirwan - One of the best experts on this subject based on the ideXlab platform.

  • analysis of the potentials of multi criteria decision analysis methods to conduct Sustainability assessment
    Ecological Indicators, 2014
    Co-Authors: Marco Cinelli, Stuart R Coles, Kerry Kirwan
    Abstract:

    Sustainability assessments require the management of a wide variety of information types, parameters and uncertainties. Multi criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform Sustainability evaluations as a result of its flexibility and the possibility of facilitating the dialogue between stakeholders, analysts and scientists. However, it has been reported that researchers do not usually properly define the reasons for choosing a certain MCDA method instead of another. Familiarity and affinity with a certain approach seem to be the drivers for the choice of a certain procedure. This review paper presents the performance of five MCDA methods (i.e. MAUT, AHP, PROMETHEE, ELECTRE and DRSA) in respect to ten crucial criteria that Sustainability assessments tools should satisfy, among which are a life cycle perspective, thresholds and uncertainty management, software support and ease of use. The review shows that MAUT and AHP are fairly simple to understand and have good software support, but they are cognitively demanding for the decision makers, and can only embrace a weak Sustainability perspective as trade-offs are the norm. Mixed information and uncertainty can be managed by all the methods, while robust results can only be obtained with MAUT. ELECTRE, PROMETHEE and DRSA are non-compensatory approaches which consent to use a strong Sustainability Concept, accept a variety of thresholds, but suffer from rank reversal. DRSA is less demanding in terms of preference elicitation, is very easy to understand and provides a straightforward set of decision rules expressed in the form of elementary “if … then …” conditions. Dedicated software is available for all the approaches with a medium to wide range of results capability representation. DRSA emerges as the easiest method, followed by AHP, PROMETHEE and MAUT, while ELECTRE is regarded as fairly difficult. Overall, the analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches.