Search results

The financial crisis of 2007–2008 has brought critical attention to those financial institutions whose high destabilizing effects can have an impact on the financial system. Basel Committee (BIS) has introduced a set of regulations to identify such banks, defined global systemically important banks (G-SIBs). The purpose of this paper is to investigate the robustness of the BIS's methodology.

In this study, a multicriteria decision aid (MCDA) approach is considered, specifically HSMAA (hierarchy stochastic multiobjective acceptability analysis), which can take into account uncertainty on BIS's criteria weights as standard SMAA, but also uncertainty with respect to the subcriteria of the considered criteria. The results are analyzed to provide insights into the robustness of the BIS's methodology.

The obtained results indicate that overall the BIS's methodology does not appear robust. Within the two uncertainty scenarios considered, the results show a great variability in identifying the G-SIBs' systemic risk.

The paper proposes an analytical way to assess the robustness of the BIS's methodology. Moreover, the authors’ analysis reveals a great variability on the results, which highlight different issues for banks, regulators and enterprises.

This study aims to determine the mall criteria that are the most crucial for the youth market by determining the winning brand in comparison to other offerings to understand what is required to gain a competitive advantage and to differentiate a mall from its rivals.

This study chose the Stochastic Multicriteria Acceptability Analysis-2 method to evaluate the mall preferences of young people. By using this method, the various criteria were evaluated for more than one alternative to find the best solution. JSMA program was used to analyze the data. The survey was administered using the mall intercept method to reduce sample bias.

The study identifies that the criteria that have the highest impact on the mall preferences of young people are the mall campaigns for loyal customers; the traffic in the mall locality and the mall’s parking facilities; the mall’s facilities for disabled people; the quality of the mall locality; and the quality of the people visiting the mall. The study reveals that a mall’s physical features, its facilities and the criteria related to employees have a very low impact on the mall choices of young people. The study further finds that the youth market has very low satisfaction levels for all of the identified criteria. This study reveals that this macro accessibility criterion is less relevant for the youth market than for the general population.

Despite the importance of this market, there is insufficient research on the shopping behavior of young people. They have a considerable impact on the purchasing decisions of their families, significant disposable income and constitute the future market for the sector. This study uniquely enables the sequential ordering of customers’ decision-making criteria and determines the effectiveness or impact of these criteria in the mall sector.

Following the methodology designed for selecting the best industrial and technological diversification strategy, one of the best methods for achieving the long-term sustainability of companies, the purpose of this paper is to describe its application in the service supply chains (SSCs) sector, specifically, in freight transport in product service supply chains.

The methodology used in diversification processes comprises four stages: evaluation of the technological diversification suitability; selection of the technological diversification strategy; implementation of the diversification strategy; and evaluation of the process.

The main contributions of the paper are: the proposal of a taxonomy or functional inventory for information and communication technologies (ICTs) in the freight transport industry (FTI); the introduction of a new concept, the technological shrub, a variant of the technological tree that allows interdependencies between the functionality systems; the construction of a technological shrub for ICTs in a standard FTI firm; and the multicriteria selection, based on the Analytic Hierarchy Process (AHP), of the best diversification strategy that can be incorporated by this standard firm for improving competitiveness. This selection utilises a “bottom-up” approach.

The paper deals with the long-term sustainability of companies by means of technological diversification strategies. Based on the taxonomy constructed for ICTs in the SSC sector and the identification of key technologies for a particular firm, a technological shrub is constructed and a multicriteria procedure is developed in order to select the best diversification strategy.

This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods.

To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented.

The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries.

The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

The purpose of this paper is to propose a multi-methodological approach for assessing the sustainability of urban projects. The proposed framework has the objective of addressing the different dimensions involved in the analysis (economic, environmental, social, technological, cultural, etc.), following the subsequent phases for the definition of the projects (from a very general masterplan to more detailed preliminary projects).

The multi-methodological approach is organized according to subsequent steps, involving the application of different evaluation methods, namely SWOT analysis, multicriteria analysis, discounted cash flow analysis and sensitivity analysis. With the aim of better illustrating the proposed approach, the method is applied on a real case concerning the project of a new boulevard in the city of Skopje.

The proposed approach resulted to be successful in structuring the complex planning context and in increasing and improving the information for the project, thus acting as a learning process.

The paper is based on the experimentation of an hybrid approach for addressing planning process. The multi-methodological framework can be useful in supporting decision making process in the domain of urban projects. In this sense, the proposed framework is able to communicate the planners’, designers’ and decision maker’s perspectives, to enhance transparency in the decision process and thus to increase acceptance.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to discuss the application of a method for combining multiple criteria based on the transformation of numerical evaluations into probabilities of preference. It is applied to compare failure risks and to measure efficiency in the retail trade sector.

The main conceptual aspect of the method employed is taking into account uncertainty. Its other important feature is allowing for the combination of evaluations in terms of joint probabilities. This avoids the need of assigning weights to the criteria. In the context of failure modes and effects analysis (FMEA) it provides a probabilistic derivation for priority scores. An application of FMEA to the sector of services is discussed. Another area of application investigated is the assessment of efficiency.

Details of the application of the probabilistic composition in the evaluation of modes of failure and in the comparison of operational efficiencies of retail stores are evidenced.

The study is limited to the retail market. Other factors might be considered in the reliability analysis and other inputs and outputs might be added to the productivity evaluation. The extension of the study to other cases and sectors is straightforward.

Features of the evaluation of modes of failure and of productivity in the retail sector are revealed.

The main contribution of this paper is showing how to use a probabilistic framework to measure efficiency in services management.

Supplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.

The concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.

This study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.

This research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.

This work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.

In this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.

Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream mapping (VSM) is one of the many LM tools. It is understood that combining LM implementation with VSM tools can generate better outcomes. This paper aims to develop an expert system for optimal sequencing of VSM tools for lean implementation.

A proposed artificial neural network (ANN) model is based on the analytic network process (ANP) devised for this study. It will facilitate the selection of VSM tools in an optimal sequence.

Considering different types of wastes and their level of occurrence, organizations need a set of specific tools that will be effective in the elimination of these wastes. The developed ANP model computes a level of interrelation between wastes and VSM tools. The ANN is designed and trained by data obtained from numerous case studies, so it can predict the accurate sequence of VSM tools for any new case data set.

The design and use of the ANN model provide an integrated result of both empirical and practical cases, which is more accurate because all viable aspects are then considered. The proposed modeling approach is validated through implementation in an automobile manufacturing company. It has resulted in benefits, namely, reduction in bias, time required, effort required and complexity of the decision process. More importantly, according to all performance criteria and subcriteria, the main goal of this research was satisfied by increasing the accuracy of selecting the appropriate VSM tools and their optimal sequence for lean implementation.

The purpose of this paper is to evaluate the logistics performance of intermodal freight transportation, a reasonably innovative methodology, to Thailand.

Fuzzy set techniques are applied to assess the meaning of logistics performance within the decision process of freight operators. The fuzzy‐analytical hierarchy process is applied to identify the relative significance among the attributes in the hierarchy framework levels. Consequently, the fuzzy‐multi‐criteria analysis is used to assess decision makers' perception of the logistics performance via proper assignment of numerical scores. The subjective judgments for hierarchical attributes are transformed into fuzzy degrees of score.

Results show a summary of performance indices for different levels in the hierarchy framework. The results demonstrate that the lack of coordination among modes limit the attractiveness of intermodal system. In addition, the methodology is proposed to examine changing variables regarding modal shift and challenge the truck dominance in Thailand.

The proposed framework is only a starting point for integrating the views of logistics operators in the analytical processes. This study did not include several external social costs such as accidents, congestion, and environmental costs.

The methodology provides an approach lead to the index values for assessment and comparative analysis. The strengths and limitations of each alternative were benchmarked relative to a set of hierarchical attributes. Sensitivity analyses of significant variables are performed to examine the impact on changed costs and services levels. The model can entail use of corresponding parameters to improve a logistics system.

The performance measurement is formulated from the modal choice perspective with a human decision problem. The use of logistics performance base indicators has been linked to the intermodal transport system. This study extends the newly developed methodological framework to evaluate the logistics performance of intermodal transportation.