Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

TOPSIS Based Approach to Scoring Negotiating Offers in Negotiation Support Systems

In this paper we analyze the possibility of applying the technique for order preferences by similarity to ideal solution (TOPSIS) to building the scoring system for negotiating offers. TOPSIS is a multiple criteria decision making method that is based on measuring distances between alternatives under consideration and two bipolar reference alternatives, a positive and negative ideal. Thus the criteria used for the evaluation of alternatives should be described using strong scales. However, in the negotiation, the issues are very often described qualitatively, which results in ordinal or even nominal variables that must be taken into consideration in offers’ evaluation process. What is more, TOPSIS may be applied to solving the discrete decision problems while the negotiation space may be defined by the means of continuous variables too. In this paper we try to modify the TOPSIS algorithm to make it applicable to negotiation support and, moreover, discuss the following methodological issues: using TOPSIS for a negotiation problem with continuous negotiation space; selecting the distance measure for adequate representation of negotiator’s preferences and measuring distances for qualitative issues. Finally, we propose a simple additional mechanism that allows for building the TOPSIS-based scoring system for negotiating offers and does not involve negotiators in time consuming and tiresome preference elicitation process. This mechanism requires from negotiators to construct examples of offers that represent some categories of quality and then by using a goal programming approach it infers all the parameters required by the TOPSIS algorithm. We also show a simple prototype software tool that applies the TOPSIS modified algorithm and may be used in electronic negotiation support.     

Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0

Quality & Quantity - The goal of this paper is to present an innovative conception how to use metrisable vector structure of a manufacturing process, based on quantitative relations between the...     

Toward sustainable corporate behavior: The effect of the critical mass of female directors on environmental,social, and governance disclosure

Boards of directors have recently become more attentive to their stakeholders' concerns, providing more transparent information and adopting more sustainable business strategies. This study investigates the influence of a critical mass of women on boards on the environmental, social, and governance (ESG) disclosure score and its three components separately. Using a sample of the FTSE-MIB listed companies in the 2005–2017 period, we show that reaching a critical mass of female board members—going from one or two women to at least three—enhances the level of ESG disclosure. The results also show that the critical mass of female board members has a positive influence on every component of the ESG score, with the highest contribution of women reaching the governance score. These findings provide insights to shareholders and policymakers and suggest that a critical mass of female board members is particularly effective in improving transparency, and it can be seen as a mechanism to transit to stakeholder governance, fostering more sustainable behavior in firms.     

Macroeconomic Effects of an Ageing Population in Mauritius

The economic literature focuses mostly on faster ageing of population among developed countries; however, many developing countries experience even more dramatic pace of this process. Mauritius, with the median age of population higher than the world average since 1990s, represents a prominent example of such a case. In this paper, we analyse demographic developments in Mauritius and discuss their macroeconomic implications using an open-economy OLG model with demographic shocks. We project that a decline in the Mauritian interest rate and net foreign assets to GDP resulting from ageing will be accompanied by a temporary increase in GDP, consumption and investment.     

Depositors Discipline through Interest Costs during Good and Bad Times: the Role of the Guarantor of Last Resort<Superscript>1</Superscript>

We investigate whether the public sector’s ability as the guarantor of last resort (GLR) to help banks or to guarantee banks’ liabilities affects the sensitivity of interest costs to bank fundamentals. We use a global bank sample and find that the sensitivity is an increasing function of GLR risk, regardless of the method applied to describe this risk. Therefore, our results indicate that increased levels of GLR risk might foster market monitoring by depositors.     

Demographic impacts in central and eastern European countries

All countries undergoing socioeconomic transformation in the central, eastern, and southeastern parts of Europe, regardless of the progress made in systemic transformation, have witnessed significant changes in their population. This paper presents some of these demographic changes and considers the dynamics produced by a drop in reproduction rates and the declining frequency of marriages. The intensity of these changes tended to vary. All of the countries, with the exception of Albania, are characterized by low birth rates approaching nominally the level of death rates. Infant mortality rates in the majority of the countries were relatively high at the beginning of the 1990s compared with their minimum.     

Robust pricing and hedging under trading restrictions and the emergence of local martingale models

We pursue the robust approach to pricing and hedging in which no probability measure is fixed, but call or put options with different maturities and strikes can be traded initially at their market prices. We allow the inclusion of robust modelling assumptions by specifying a set of feasible paths on which (super)hedging arguments are required to work. In a discrete-time setup with no short selling, we characterise absence of arbitrage and show that if call options are traded, then the usual pricing–hedging duality is preserved. In contrast, if only put options are traded, a duality gap may appear. Embedding the results into a continuous-time framework, we show that the duality gap may be interpreted as a financial bubble and link it to strict local martingales. This provides an intrinsic justification of strict local martingales as models for financial bubbles arising from a combination of trading restrictions and current market prices.