A hybrid approach using AHP–TOPSIS–entropy methods for sustainable ranking of structural materials

Nowadays, many countries are looking towards sustainability as a goal because our world has limited resources and serious environmental impacts. In the construction industry, the process of sustainable selection of structural material is considered one of the keys to achieve more sustainable construction. In this paper, the theories of decision making are utilised to develop an approach for evaluation and ranking the structural materials over their total life based on sustainability criteria using multi-attribute decision-making methods. One of them is Analytical Hierarchy Process which is utilised to build the problem hierarchical structure and assign weights of the predetermined sustainable factors. The other is Technique for Order Preference by Similarity to the Ideal Solution which is utilised to rank the structural materials within both each material life cycle phase and the complete material life cycle phases. The third is the concept of entropy by Shannon to evaluate the weight factor for each phase of material life cycle. The proposed approach presents an objective, systematic and comprehensive method for the sustainable ranking of materials that links between the structural element design and the sustainable selection of materials.     

Eco-material selection using fuzzy TOPSIS method

In the classical multiple attribute decision-making or MADM methods, the ratings and the weights of the criteria are known precisely. However, in eco-material selection exercises, the available data are typically inadequate because of the selection dual quantitative and qualitative natures. Some of the qualitative selection criteria can be rated in several classes rather being expressed by exact numerical values; hence the application of fuzzy concepts in decision-making seems attractive to deal with such kind of ratings. Thusly, the presented study attempts to propose an eco-material selection approach specific to the automobile body panels using a fuzzy technique for order preference by similarity to ideal solution (TOPSIS), to incorporate both numerical and rating-based criteria into one holistic sustainability model. TOPSIS and fuzzy logic can aid the material selection process in translating the design goals and parameters into usable numbers that in turn can be used to rank candidate materials in their closeness to the ideal solution. An additional uniqueness of this study stems from using the fuzzy-TOPSIS as a scoring tool without any assigned weights for the different selection attributes, in order to avoid the bias that is typically associated with other classical MADM, such as quality function deployment, analytical hierarchy process and digital logic.     

A sustainability approach for selecting maintenance strategy

Appropriate maintenance can prolong the life of an asset and prevent costly breakdowns that may result in lost production, failed shipping schedules and a decline in customer satisfaction. The goal of this study was to present a comprehensive framework that utilises sustainability metrics based on social, environmental and economic criteria to select an appropriate maintenance strategy among a variety of maintenance strategy alternatives, such as preventive, failure-based, reliability-centred, condition-based and total productive maintenance strategies, for a manufacturing company. The sustainability-based approach may significantly influence the personnel, energy, material and the overall costs in a company. In the first step of this paper, a sustainability-based decision-making structure is proposed for the maintenance strategy selection problem applying the concept of factor analysis to determine the leading factors in each of the sustainability pillars. In the next step, a fuzzy VIKOR framework is used to select the most appropriate maintenance strategy. The provided approach is illustrated using a manufacturing industry case study.     

Constructing sustainability science: emerging perspectives and research trajectories

Over the last decade, sustainability science has emerged as an interdisciplinary and innovative field attempting to conduct problem-driven research that links knowledge to action. As the institutional dimensions of sustainability science continue to gain momentum, this article provides an analysis of emerging research agendas in sustainability science and an opportunity for reflection on future pathways for the field. Based on in-depth interviews with leading researchers in the field and a content analysis of the relevant literature, this article examines how sustainability scientists bound the social, political and normative dimensions of sustainability as they construct research agendas and look to link knowledge to social action. Many scientists position sustainability science as serving universal values related to sustainability and providing knowledge that is crucial to societal decision-making. The implications of these findings are discussed with an eye towards creating a space for a more democratic and reflexive research agenda for sustainability.     

Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions

Abstract

With the global increasing importance of sustainable development, sustainable supply chain has gained value among both researchers and industrialists in the last decade. Nowadays, industries are facing pressure from government legislation and the global competition in addition to the pressure from their clients to carry out environmentally – conscious actions. Thus, organisations are required to implement actions to enhance their level of both environmental and economic performances. Traditionally, organisations use criteria such as cost, quality and on-time delivery to evaluate their suppliers’ performance. Although there have been numerous studies on the common criteria for these assessments, very few studies have taken sustainable criteria into consideration. Thereupon, this study tries to put forward a complete model for selection and evaluation of the suppliers, considering three criteria for sustainability, thus using the fuzzy group graph theory and matrix approach. It is an innovative approach based on fuzzy logic and group decision-making, which aims to treat lack of certainty in selection and evaluation of suppliers. We will also discuss a case study in the industry to demonstrate the effectiveness of our proposed approach.     

Reimagining Sustainability: An Interrogation of the Corporate Knights' Global 100

This study examines sustainability reports of the Corporate Knights' “Global 100 Most Sustainable Companies in the World” in order to examine if and how they have been affected by Arturo Escobar's original critique of sustainable development (SD). Via thematic analysis, the study reveals that these corporations have circumvented Escobar's assessment by emphasizing sustainability as corporate growth and profit, without addressing some of the most prominent social concerns in our world today. The goal of this study was to trigger new ways of imagining SD, which speak to issues of equality and justice. Thus, it advances a view of sustainability that is driven by the logic of nature rather than by the logic of market. This study also suggests that researchers and practitioners should define praxis through engagement with local communities rather than through the traditional top-down approaches to sustainability.     

Crossing technology and sustainability in cities’ development

This paper deals with sustainability in cities and the role technology plays in furthering sustainable results. Recently, many interventions have been implemented in cities to propose paths and models promoting the sustainability of cities from an overall perspective. Technologies are favouring the achievement of aims recalling the three spheres of sustainability as proposed by Arcadis (2017), namely “planet”, “profit”, and “people”. The ties between technology and the three spheres are investigated through a content analysis of reports issued by the 10 cities with the most significant advances in terms of becoming sustainable cities, as indicated in the Arcadis Report 2016. The results highlight technology as an element crossing sustainability, as processes and models in cities management and service provisions to citizens are significantly changing. New tools are innovating the processes addressing environmental issues, thus leading to cost efficiency and better economic conditions. Parallel to this, new models for city management and the provision of public services are addressing the need for a better quality of life for citizens and cities’ other stakeholders. Technology itself is thought of as sustainable because it should lead to efficiency and being efficient itself. A qualitative cluster analysis and a focus on excerpts from reports are proposed to highlight the ties between technologies and the elements representing key issues in managing and leading a city towards more sustainable conditions.     

Social-ecological system resonance: a theoretical framework for brokering sustainable solutions

Sustainability science is a solution-oriented discipline. Yet, there are few theory-rich discussions about how this orientation structures the efforts of sustainability science. We argue that Niklas Luhmann’s social system theory, which explains how societies communicate problems, conceptualize solutions, and identify pathways towards implementation of solutions, is valuable in explaining the general structure of sustainability science. From Luhmann, we focus on two key concepts. First, his notion of resonance offers us a way to account for how sustainability science has attended and responded to environmental risks. As a product of resonance, we reveal solution-oriented research as the strategic coordination of capacities, resources, and information. Second, Luhmann’s interests in self-organizing processes explain how sustainability science can simultaneously advance multiple innovations. The value logic that supports this multiplicity of self-organizing activities as a recognition that human and natural systems are complex coupled and mutually influencing. To give form to this theoretical framework, we offer case evidence of renewable energy policy formation in Texas. Although the state’s wealth is rooted in a fossil-fuel heritage, Texas generates more electricity from wind than any US state. It is politically antagonistic towards climate-change policy, yet the state’s reception of wind energy technology illustrates how social and environmental systems can be strategically aligned to generate solutions that address diverse needs simultaneously. This case demonstrates that isolating climate change—as politicians do as a separate and discrete problem—is incapable of achieving sustainable solutions, and resonance offers researchers a framework for conceptualizing, designing, and communicating meaningfully integrated actions.     

江苏环境经济系统的能值分析与可持续发展对策研究

能值分析将自然资本的价值纳入人类社会环境经济系统评价范畴，解决了传统方法无法衡量自然资本服务价值对经济过程的影响问题。文章通过对江苏主要能值指标的分析，得出江苏环境经济系统近20年来的发展是不可持续的，并从能值分析角度提出实施江苏可持续发展的对策。     

Coevolving Ostrom’s social–ecological systems (SES) framework and sustainability science: four key co-benefits

Research on social–ecological systems (SES) is scattered across many disciplines and perspectives. As a result, much of the knowledge generated between different communities is not comparable, mutually aggregate or easily communicated to nonspecialists despite common goals to use academic knowledge for advancing sustainability. This article proposes a conceptual pathway to address this challenge through outlining how the SES research contributions of sustainability science and researchers using Elinor Ostrom’s diagnostic SES framework (SESF) can integrate and co-benefit from explicitly interlinking their development. From a review of the literature, I outline four key co-benefits from their potential to interlink in the following themes: (1) coevolving SES knowledge types, (2) guiding primary research and assessing sustainability, (3) building a boundary object for transdisciplinary sustainability science, and (4) facilitating comparative analysis. The origins of the SESF include seminal empirical work on common property theory, self-organization, and coupled SES interactions. The SESF now serves as a template for diagnosing sustainability challenges and theorizing explanatory relationships on SES components, interactions, and outcomes within and across case studies. Simultaneously, sustainability science has proposed transdisciplinary research agendas, sustainability knowledge types, knowledge coproduction, and sustainability assessment tools to advance transformative change processes. Key challenges for achieving co-beneficial developments in both communities are discussed in relation to each of the four themes. Evident pathways for advancing SES research are also presented along with a guideline for designing SES research within this co-aligned vision.     

Creating an academic landscape of sustainability science: an analysis of the citation network

Sustainability is an important concept for society, economics, and the environment, with thousands of research papers published on the subject annually. As sustainability science becomes a distinctive research field, it is important to define sustainability clearly and grasp the entire structure, current status, and future directions of sustainability science. This paper provides an academic landscape of sustainability science by analyzing the citation network of papers published in academic journals. A topological clustering method is used to detect the sub-domains of sustainability science. Results show the existence of 15 main research clusters: Agriculture, Fisheries, Ecological Economics, Forestry (agroforestry), Forestry (tropical rain forest), Business, Tourism, Water, Forestry (biodiversity), Urban Planning, Rural Sociology, Energy, Health, Soil, and Wildlife. Agriculture, Fisheries, Ecological Economics, and Forestry (agroforestry) clusters are predominant among these. The Energy cluster is currently developing, as indicated by the age of papers in the cluster, although it has a relatively small number of papers. These results are compared with those obtained by natural language processing. Education, Biotechnology, Medical, Livestock, Climate Change, Welfare, and Livelihood clusters are uniquely extracted by natural language processing, because they are common topics across clusters in the citation network.     

Shedding light on a neglected area: a new approach to knowledge creation

Awareness is needed of sustainability issues that are currently neglected but potentially important. A computer-based approach can highlight unconscious and neglected areas because it can structure vast amounts of knowledge. In this article, we propose a methodology to perceive unconscious areas of sustainability with the support of a computer-based approach, which creates a matrix, named the recognized-unrecognized matrix, which highlights both local and globally neglected problems. A case study is conducted to consider the potential contribution of the aviation industry to sustainability issues. We demonstrate that a citation network analysis is an effective methodology to chart the recognized-unrecognized matrix. We highlight issues of water use in the aviation industry by designing an innovative water and air circulation system, which significantly reduces water and fuel consumption on board airplane flights. We also suggest a new approach to integrating both explicit and tacit knowledge to enable knowledge creation.     

Culture as trigger for sustainability transition in the water domain: the case of the Spanish water policy and the Ebro river basin

There is a mounting body of literature dealing generally with the dynamics of transitions of human systems towards sustainability and specifically with the different stages and processes of transitions. However, the question of why transition processes occur in the first place remains largely unexplained. This paper explores the concept of transition triggers, such as culture or material resource scarcity, and provides a theoretical framework to explain the emergence of a transition and its relation to recent developments in Spanish water policy. We adapt the general framework provided by current transition theory and gather empirical evidence and insights from processes occurring within the Spanish policy context and the Ebro river basin in particular. Our results show that the sole existence of biophysical limits to water use or development cannot explain the start of a possible sustainability transition in this domain in Spain. Changes in the existing water policies in the direction of sustainability were not ignited by people directly affected by water scarcities but by a coalition of sensitive agents, mostly from academia, NGOs and local constituencies, who managed to articulate new identities, integrate multiple sources of policy relevant knowledge, and develop new values under the umbrella of the new water culture movement.

Decision support model to select crop pattern for sustainable agricultural practices using fuzzy MCDM

The crop pattern has a significant impact on the feasibility of sustainable agricultural practices. Selected crop pattern influences environmental and economic condition and affects sustainability profoundly in agricultural practices. Hence, a careful intervention is required in the selection of an optimal crop pattern for sustainable agricultural practices. Selection of a particular set of crop pattern depends on many criteria that may vary from place to place thus pose challenges in deciding an optimum crop pattern. The present research focuses on the crop selection pattern in Indian environment that considers comprehensive criteria related to sustainable farming practices. Based on the in-depth review of the literature and experts opinion, comprehensive criteria related to sustainable farming practices for Ravi season crop are identified. Total twelve criteria covering socioeconomic conditions, soil and water conditions, environmental and climatic conditions are earmarked and taken into account for eight most commonly grown crops in Ravi season and later on modeled to determine the crop pattern for most needed sustainability. A fuzzy-based multi-criteria decision-making model has been developed considering the Indian farming system. The scarce resources availability to Indian farmers poses many challenges to practice farming with most needed sustainability. The present research will be useful in the area of Indian farming practices in particular and global farming practices in general. It will also help stakeholders in their cost effective decision making for better crop productivity leading to sustainable farming practices. Additionally, the state policy makers will be able to formulate effective state driven sustainable farming policy to enhance its stake in gross domestic product to become self-reliance.     

Strengths and weaknesses of common sustainability indices for multidimensional systems

Sustainability is rapidly moving from an abstract concept to a measurable state of dynamic human-ecological systems. The large number of economic, social, and environmental indicators currently available provides an unwieldy view of system sustainability. To aid policy decisions, these indicators are therefore either presented in the context of a conceptual framework, or quantitatively aggregated into indices. Due to the quantitative nature of sustainability indices, their results may be given more weight by scientists and policy-makers. However, policy decisions can be ineffective or even counterproductive if they do not consider factors which influence index behavior: the scale of the available data and choice of system boundaries; the inclusion, transformation, and weighting of indicator data; and the aggregation method used. As previous reviews have demonstrated, sustainability indices do not rank countries consistently, even when using some of the same indicator data. Several improvements would increase the utility of sustainability indices for policy decisions, particularly the identification of biases introduced by the index methodology and data inclusion. The discrepancy of current sustainability indices due to theoretical or methodological differences supports the use of several complementary indices.     

Towards adequately framing sustainability goals in research projects: the case of land use studies

Sustainability-oriented undertakings employ a multitude of different definitions and understandings of the term sustainable development. Against this background, the question of which sustainability goals to refer to at project level must be posed. This article discusses this question using the example of research on land use issues. It presents a qualitative in-depth empirical analysis of the underlying sustainability understanding of research projects, and identifies crucial characteristics of the ways researchers deal with the respective normative goals. The notions of sustainable development advanced by such projects featured different foci with respect to the overall meaning of the concept and were influenced by diverse actor and stakeholder perspectives. Further, the identified sustainability conceptions were deliberated on to different extents, and also differed with respect to whether they were explicit or contextualized. Most importantly, the projects differed in how they broached the issue of sustainability goals as part of research. The findings were used to develop a set of guidelines that clarifies how research can be related successfully to the societal vision of sustainable development. The guidelines draw conceptually on general requirements for appropriate sustainability conceptions derived from the Brundtland definition. They offer a tool for reflecting on one’s assumptions with respect to sustainability goals at any stage of research, which is crucial for advancing the seminal field of sustainability science.     

Adapting to climate change: an integrated biophysical and economic assessment for Mozambique

Mozambique, like many African countries, is already highly susceptible to climate variability and extreme weather events. Climate change threatens to heighten this vulnerability. In order to evaluate potential impacts and adaptation options for Mozambique, we develop an integrated modeling framework that translates atmospheric changes from general circulation model projections into biophysical outcomes via detailed hydrologic, crop, hydropower and infrastructure models. These sector models simulate a historical baseline and four extreme climate change scenarios. Sector results are then passed down to a dynamic computable general equilibrium model, which is used to estimate economy-wide impacts on national welfare, as well as the total cost of damages caused by climate change. Potential damages without changes in policy are significant; our discounted estimates range from US$ 2.3 to US $7.4 billion during 2003?C2050. Our analysis identifies improved road design and agricultural sector investments as key ??no-regret?? adaptation measures, alongside intensified efforts to develop a more flexible and resilient society. Our findings also support the need for cooperative river basin management and the regional coordination of adaptation strategies.     

Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems

The modern age has heralded a shift from the industrial society, in which natural resources are crucial input factors for the economy, towards a knowledge society. To date, sustainability literature has treated knowledge—and in particular digital artifacts—mainly as a means to the end of achieving sustainable development. In this conceptual paper, we argue that digital artifacts themselves ought also to be considered as resources, which also need to be sustainable. While over-consumption is a problem facing natural resources, with sustainable digital artifacts, underproduction, and underuse are the biggest challenges. In our view, the sustainability of digital artifacts improves their potential impact on sustainable development. A theoretical foundation for digital artifacts and their ecosystem allows us to present the relevant research on digital information, knowledge management, digital goods, and innovation literature. Based on these insights, we propose ten basic conditions for sustainable digital artifacts and their ecosystem to ensure that they provide the greatest possible benefit for sustainable development. We then apply those characteristics to four exemplary cases: Linux kernel development, Bitcoin cryptocurrency, the Wikipedia project, and the Linking Open Drug Data repositories. The paper concludes with a research agenda identifying topics for sustainability scholars and information systems academics, as well as practitioners. A number of suggestions for future studies on digital sustainability are also put forward.