Purpose The purpose of this paper is to identify how multicriteria decision aid (MCDA) can assist the investment portfolios formation, increasing the reliability of decision-making. Design/methodology/approach To develop this paper, a simulation-based approach is used. Information about the assets traded on the spot market of the São Paulo Stock Exchange - BM&FBOVESPA was selected. They had 100 per cent participation in the 246 trading sessions carried out in 2015 and had an average number of business/day greater or equal to 1,000. The stratification resulted in the selection of 111 assets. Aiming assets evaluation, data are collected from 21 financial indicators. Subsequently, the principal component analysis (PCA) is used to reduce the mass of collected data without the loss of essential information. PROMETHEE II method is used for assets ranking; it belongs to the group of methods for MCDA. At the end of these stages, four groups of investment portfolios are created for simulation. Findings After the construction of portfolios, a simulation was performed with real data of the assets from January 03, 2011 to November 14, 2016. It resulted in a comparison in which it was observed that 100 per cent of portfolios showed positive returns on the investment. The result of portfolios’ group composed of assets based on the 21 financial indicators was higher than the other one formed from PCA criteria. Both of them were higher than Ibovespa result in the same period. Research limitations/implications As a contribution to new research, the model presents an opportunity for improvement through linear programming methodologies with the objective of optimizing the results, as the results obtained with the model were not optimized. Practical implications This research presents an alternative logic to the traditional one, as it seeks the reduction of investment risk based on the results of the management of the companies, reflected through their indicators. The model implies a change in how companies, financial institutions and small and medium investors choose their assets to form investment portfolios. The authors believe that the model has the potential to attract investors looking for long-term gains, such as public servants, retirees, professionals and others who seek to build heritage to overcome the adversities of the uncertain future. The model offers these investors the opportunity to choose which companies to invest in, based on established indicators in the literature, whose information is available in the market. The model systematizes the information and builds a ranking of the best companies so that the investor can make a conscious decision, thus avoiding what experts call a “herd effect”, which makes the majority of investors decide according to the oscillation of the market, thus ignoring the financial fundamentals of companies. Originality/value This study presents a proprietary methodology by merging the PCA tool with MCDA to build efficient investment portfolios.
Purpose The purpose of this paper is to develop a methodology for knowledge discovery in emergency response service databases based on police occurrence reports, generating information to help law enforcement agencies plan actions to investigate and combat criminal activities. Design/methodology/approach The developed model employs a methodology for knowledge discovery involving text mining techniques and uses latent Dirichlet allocation (LDA) with collapsed Gibbs sampling to obtain topics related to crime. Findings The method used in this study enabled identification of the most common crimes that occurred in the period from 1 January to 31 December of 2016. An analysis of the identified topics reaffirmed that crimes do not occur in a linear manner in a given locality. In this study, 40 per cent of the crimes identified in integrated public safety area 5, or AISP 5 (the historic centre of the city of RJ), had no correlation with AISP 19 (Copacabana – RJ), and 33 per cent of the crimes in AISP 19 were not identified in AISP 5. Research limitations/implications The collected data represent the social dynamics of neighbourhoods in the central and southern zones of the city of Rio de Janeiro during the specific period from January 2013 to December 2016. This limitation implies that the results cannot be generalised to areas with different characteristics. Practical implications The developed methodology contributes in a complementary manner to the identification of criminal practices and their characteristics based on police occurrence reports stored in emergency response databases. The generated knowledge enables law enforcement experts to assess, reformulate and construct differentiated strategies for combating crimes in a given locality. Social implications The production of knowledge from the emergency service database contributes to the government integrating information with other databases, thus enabling the improvement of strategies to combat local crime. The proposed model contributes to research on big data, on the innovation aspect and on decision support, for it breaks with a paradigm of analysis of criminal information. Originality/value The originality of the study lies in the integration of text mining techniques and LDA to detect crimes in a given locality on the basis of the criminal occurrence reports stored in emergency response service databases.
Multicriteria methods have gained traction in academia and industry practices for effective decision-making. This systematic review investigates and presents an overview of multi-criteria approaches research conducted over forty-four years. The Web of Science (WoS) and Scopus databases were searched for papers on multi-criteria methods with titles, abstracts, keywords, and articles from January 1977 to 29 April 2022. Using the R Bibliometrix tool, the bibliographic data was evaluated. According to this bibliometric analysis, in 131 countries over the past forty-four years, 33,201 authors have written 23,494 documents on multi-criteria methods. This area’s scientific output increases by 14.18 percent every year. China has the highest percentage of publications at 18.50 percent, followed by India at 10.62 percent and Iran at 7.75 percent. Islamic Azad University has the most publications with 504, followed by Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. Expert Systems With Applications, Sustainability, and the Journal of Cleaner Production are the top journals, accounting for over 4.67 percent of all indexed works. In addition, E. Zavadskas and J. Wang have the most papers in the multi-criteria approaches sector. AHP, followed by TOPSIS, VIKOR, PROMETHEE, and ANP, is the most popular multi-criteria decision-making method among the ten nations with the most publications in this field. The bibliometric literature review method enables researchers to investigate the multi-criteria research area in greater depth than the conventional literature review method. It allows a vast dataset of bibliographic records to be statistically and systematically evaluated, producing insightful insights. This bibliometric study is helpful because it provides an overview of the issue of multi-criteria techniques from the past forty-four years, allowing other academics to use this research as a starting point for their studies.
Purpose This study aims to focus on the application of a multiple criteria decision analysis (MCDA) method to compare results presented by the Integrated Goals System based on the 12th edition of the Integrated Public Safety Areas (IPSAs) Award, which achieved goals established for Strategic Crime Indicators for the state of Rio de Janeiro, Brazil. The main objective of this research was to limit the compensatory effects of classification criteria on IPSAs that have achieved goals established for crime indicators by applying the MCDA method. Design/methodology/approach The methodology was based on the application of MCDA. The MCDA method selected and used was ELECTRE III, being implemented by J-Electre software. Findings Compared to results of the current method, the results of the ELECTRE III method showed a 94.87 per cent change in ranking positions revealed via the SIM method. This finding denotes the elimination of compensatory effects of the criteria. As a consequence, it can be affirmed that the application of resources by IPSA managers to reduce the prevalence of a single strategic crime indicator is no longer a success factor for awarding in the established goal system. Research limitations/implications As limitations, it is possible to indicate the time cut used to carry out the research. The research may be extended to other issues of the productivity award. Practical implications The methodology applied with the use of ELECTRE III revealed that the government could reduce the cost with the incentive program to reduce criminal indices. Social implications As the MCDA method is based on a binary pairwise comparison system, the methodology imposes a change of attitude on local managers fighting crime to reduce crime indicators and to consequently build a local sense of safety in IPSAs. Originality/value This research fills a gap in the literature because there are few studies using the MCDA method in the field of public security. The value of the work lies in the creation of a method that gives the decision-maker, of the law enforcement agency, an alternative to improve the process of rewarding by productividad of the integrated areas of public security.
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