On the governmental use of multi-criteria analysis

Public decision making, especially about our natural environment, is inherently exposed to a high conflict potential. The necessity to capture the complex context has led to an increasing request for decision analytic techniques as support for the decision process. Multi-criteria analysis (MCA) is deemed to overcome the shortcomings of traditional decision-support tools used in economics, such as cost-benefit (CBA) or cost-effectiveness analysis (CEA). This is due, among other, to its ability of dealing with qualitative criteria (e.g. sensitive ecological factors), as well as with uncertainties about current or future impacts. Unlike CBA or CEA, MCA is rarely required by national laws or directives. Nonetheless, a number of recent MCA applications were supported by public authorities who either initiated or directly participated in such analyses. Given the theoretical assumptions about MCA's potential to support complex decision problems, as is often the case for environmental or sustainability policies, the key concern in our paper is to evaluate whether this potential has already been recognised in public decision making. For limitation purposes, the present work focuses on real-life case studies reported during the last decade with an insight in the initiation, the actors involved and the importance of the MCA results in the decision process. We argue that the significance and role played by MCA so far reaches beyond its current legal requirements.     

Key study of bank accounts for young people with using multi-criteria optimization and fuzzy analysis

Using multi-criteria optimization and fuzzy analysis this article aims to select the most suitable bank account for young people. Two scientific questions are asked: Is the same type of student account suitable for an active as well as an inactive client? Are there any free of charge student accounts?

The first part focuses on the introduction to the topic, a summary of the advantages and disadvantages of student accounts and modelling of two target groups. The second part describes the methodology of decision-making by using a fuzzy set theory. Selection of the optimum student account will be made by the transformation matrix. Subsequently, the retransformation matrix is set. The most suitable student accounts are again selected for each profile and the results are compared with the analysis in the first part. To complete the solution, the last part of the article focuses on decision-making with the uncertainty of input information. Due to ignorance of their own monthly needs and the number of payments, fuzzy sets are used. In addition to the active and passive client, a third profile will be newly created and can be identified with some of the profiles to a certain extent.     

Dynamic multidimensional assessment of sustainability at the macro level: The case of Austria

This paper explores the issue of sustainability at the macro scale employing multi-criteria decision aid (MCDA) methods. The incommensurability of values and the essentially multi-dimensional and dynamic nature of sustainability challenge the use of composite measurement indices. This determined the choice of MCDA methods. Austria was chosen as a case study, due to the wide availability of data, especially on indicators of strong sustainability. The structure of the multi-criteria problem comprised the evolution of different sustainability dimensions over time. The process for selecting criteria included a critical assessment of institutional sustainability agendas (UN, EU and Austrian Government) and theoretical recommendations.After an assessment of MCDA methods, the NAIADE method demonstrated the most suitable properties for sustainability assessment. The application of this outranking approach was undertaken in three separate settings: long-term from 1960 to 2003, medium-term, 1970-1995, and short-term, 1995-2003 with varying numbers of criteria. The response of results to the addition of evaluating criteria and periods was tested. The degree of credibility for accepting preference relations was also employed for sensitivity analysis.According to the results of long-term and medium-term assessments, especially in the weak sustainability setting, sustainable progress is taking place in Austria. In the short term, in the stronger sustainability setting and, especially as the number of criteria increases, more incomparable periods appear and trends are less determined. Moreover, it is shown how results crucially depend on the methodological choices.This is one of the first applications of the multi-criteria tools to the dynamic analysis of sustainability at the macro scale.     

Measuring the influences of supplier selection and supply chain tasks on firm performance among manufacturing firms in India

The primary objective of this research is to empirically probe the various aspects and variables that have been already addressed in the previous literature related to supplier selection criterion, supply effort management and firm performance. Further, this research aims to develop a measurement framework and pragmatically prove the framework through a measurement model. First, a factor structure for various constructs is made and the initial validity is determined from practicing managers and academicians. This research employs survey method and the data is collected from 358 supply chain professionals working in manufacturing firms in India. A measurement model is developed and proved with various tests of reliability and validity. Finally, three major latent constructs were formulated, namely, criterion of supplier selection, supply effort management and firm performance. The factor scores of these latent variables were used for further analysis. A six-stage approach was followed in the analysis of data. Firm performance was regressed against supplier selection criterion and supply effort management. The results indicate that the predictive variable has positive and significant effect on firm performance and they do not have any interaction and multicollinearity effects.     

A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development

New materials have been recognized as key drivers for corporate profitability and growth in today's fast changing environments. To predict correctly the development of the new materials becomes a critical issue. However, little has been done in discussing the selection of technology forecasting methods for the new materials development. Accordingly, this study adopted the fuzzy AHP method to obtain professional's opinions on this issue. The efforts result in seven evaluation criteria with one, the “data validity” having the highest weight, followed by “method adaptability” and “technology predictability”. Delphi method and case study method are the two most applicable technology forecasting methods for predicting the new materials development.     

Designing knowledge chain networks in China — A proposal for a risk management system using linguistic decision making

Designing Knowledge Supply Networks (KSN) with universities and research institutes has become a key source of technological innovations in Mainland China. In order to explore the key design principles, we first present typologies within KSN and explain the factors that can push, guide, or support the innovation process in such a network. Second, we identify and classify the particular risks that prevail when KSN are designed in an emerging region. To assess these risks, we next propose an advanced method that takes into consideration typical problems in group decision-making processes by applying linguistic operators derived from the field of decision theory and fuzzy-sets theory. The risk evaluation method is illustrated with a case study. Fourth, we offer advice on the mitigation of risks in KSN. Finally, we provide insights into the implementation of the risk evaluation method and its automation using Stakeholder Information Systems.     

Impacts of business environment changes on global manufacturing in the Chinese Greater Pearl River Delta: a supply chain perspective

Business operating conditions have changed substantially in the Chinese Greater Pearl River Delta (GPRD) due to the Chinese currency appreciation, rising labour costs, highly volatile oil prices and new processing trade policies. Such changes have triggered manufacturers to rethink their global operations. This article studies potential global manufacturing trends from a supply chain perspective. A mixed integer programming model suggests that these changes have negatively affected the region's competitive advantages as its labour-intensive production mainly targets at the mass market and competes on low costs. Three production relocation trends are affirmed, i.e. the relocation to lower-cost areas within China, lower-cost Asian countries and areas near end markets. However, it is also discovered that the GPRD region still attracts businesses with its formation of industrial clusters, the enhanced comparative advantage against competing regions in inland China or Asian lower-cost countries under high oil prices, and Hong Kong's being a robust location choice to host trade operations.     

A new method for assessing the sustainability of land-use systems (II): Evaluating impact indicators

In the past decade, numerous indicators and indicator sets for sustainable agriculture and sustainable land management have been proposed. In addition to their interest in comparing different management systems on an indicator by indicator basis, land managers are often interested in comparing individual indicators against a threshold, or, in order to study trade-offs, against each other. To this end it is necessary to (1) transform the original indicators into a comparable format, and (2) score these transformed indicators against a sustainability function.This paper introduces an evaluation method for land-use-related impact indicators, which was designed to accomplish these tasks. It is the second of a series of two papers, and as such it links into a larger framework for sustainability assessment of land use systems.The evaluation scheme introduced here comprises (1) a standardisation procedure, which aims at making different indicators comparable. In this procedure indicators are first normalised, by referencing them to the total impact they contribute towards, and then they are corrected by a factor describing the severity of this total impact in terms of exceeding a threshold. The procedure borrows conceptually from Life Cycle Assessment (LCA) Impact Analysis methodology; (2) a valuation procedure, which judges the individual standardised indicators with regard to sustainability.This methodology is then tested on an indicator set for the environmental impact of a spinach production system in Northwest Germany. The method highlights mineral resource consumption, greenhouse gas emission, eutrophication and impacts on soil quality as the most important environmental effects of the studied system.We then explore the effect of introducing weighting factors, reflecting the differing societal perception of diverse environmental issues. Two different sets of weighting factors are used. The influence of weighting is, however, small compared to that of the standardisation procedure introduced earlier.Finally, we explore the propagation of uncertainty (defined as a variable's 95% confidence limits) throughout the standardisation procedure using a stochastic simulation approach. The uncertainty of the analysed standardised indicator was higher than that of the non-standardised indicators by a factor of 2.0 to 2.5.     

A Delphi-based risk analysis — Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment

Identifying and assessing the potential impact and likelihood of future events, which might evolve into risks, are a prerequisite to identify future security challenges. In particular, risks associated with global supply chains are special since they involve a multitude of international stakeholders with different perspectives on security needs and measures. Therefore, it is essential to determine which techniques and instruments are best suited for risk assessment in complex and multi-organizational environments. The Delphi expert survey technique has proven to be a valuable instrument for long-term decision making support as well as foresight, and has a potential value for risk assessment. We contribute to this research strand and conduct a Delphi-based risk analysis. Our research concentrates on man-made risks in global supply chains which are particularly uncertain in terms of type, location, and affected supply chain partners and can therefore be classified as inherently “wicked” issues, i.e. issues that are multidimensional with often unpleasant outcomes. We illustrate that Delphi research makes a fivefold contribution to risk analysis by: (1) identifying and quantifying risks; (2) analyzing stakeholder perceptions and worldviews; (3) stimulating a global communication process; (4) identifying weak signals, outlier opinions, and wildcards; (5) and facilitating risk scenario development.     

A systemic comparative assessment of the multifunctional performance of alternative olive systems in Spain within an AHP-extended framework

The concept of sustainable agriculture is strongly related to the multifunctional role, either explicitly or implicitly, recognized to the primary sector. When assessing the performance and value to society of particular agricultural systems, the multifunctional nature of agriculture requires an approach based on multicriteria. Amongst others, these include economic, environmental, social, cultural and technical criteria. Like other complex multicriteria analyses, this evaluation of agricultural systems is characterized by the existence of not only many, but often conflicting criteria, multiple stakeholders and decision-makers who have competing interests, lack of information and a consideration of the high risks involved.The Analytic Hierarchy Process (AHP) is a methodology that deals with problems of this sort in a relatively easy, flexible and economical manner. Therefore it is a potentially useful tool for the practical resolution of complex problems, often an object of Ecological Economics. One such problem is the analysis of the sustainability of economic activities.This article has three aims. The first is to present AHP as a powerful methodology for assessing multifunctional performances of different agricultural systems in a comparative way. AHP can also be applied to other multifunctional economic activities. The second aim is to propose an extension of AHP for improving the decision-making processes when different groups of decision agents are involved. A final aim is to illustrate the AHP-extended methodology in a particular case study. This is done by using it to compare the multifunctional performance of alternative olive growing systems in Andalusia, a region located in the south of Spain, on the basis of the assessments of different groups of experts. This tests the hypothetically greater sustainability of organic and integrated farming over conventional farming systems in the medium/long term under average conditions for this region. Results for this case study show a greater global performance of organic and integrated agriculture despite differences in the ideological tendencies of the experts, thus providing a scientific basis for endorsing institutional and social support for the promotion and implementation of these farming techniques. Some conflictive issues, however, have been detected, especially in areas related to environmental performance. Further research on the controversial topics is desirable for clarification.     

A new definition and framework for the development of a national technology strategy: The case of nanotechnology for Iran

In this research, we use the concepts of “national technology policy” as well as the “firm technology strategy” in defining a new definition for “national technology strategy”. Then, by examining several national technology strategies in a variety of fields in different countries the national nanotechnology strategy for Iran is developed. Furthermore, using capability-effectiveness matrix and SWOT analysis we identify strategies of nanotechnology development in Iran. Finally, considering other countries' strategies and the results of PROMETHEE Method, we prioritize different areas of nanotechnology for Iranian economy, and test for the validity of the extracted strategies.     

The inherent dangers of using computable general equilibrium models as a single integrated modelling framework for sustainability impact assessment. A critical note on Böhringer and Löschel (2006)

The search for methods of assessment that best evaluate and integrate the trade-offs and interactions between the economic, environmental and social components of development has been receiving a new impetus due to the requirement that sustainability concerns be incorporated into the policy formulation process. A paper forthcoming in Ecological Economics [Böhringer, C., Löschel, A., in press. Computable general equilibrium models for sustainability impact assessment: status quo and prospects, Ecological Economics.] claims that Computable General Equilibrium (CGE) models may potentially represent the much needed “back-bone” tool to carry out reliable integrated quantitative Sustainability Impact Assessments (SIAs). While acknowledging the usefulness of CGE models for some dimensions of SIA, this commentary questions the legitimacy of employing this particular economic modelling tool as a single integrating modelling framework for a comprehensive evaluation of the multi-dimensional, dynamic and complex interactions between policy and sustainability. It discusses several inherent dangers associated with the advocated prospects for the CGE modelling approach to contribute to comprehensive and reliable sustainability impact assessments. The paper warns that this reductionist viewpoint may seriously infringe upon the basic values underpinning the SIA process, namely a transparent, heterogeneous, balanced, inter-disciplinary, consultative and participatory take to policy evaluation and building of the evidence-base.