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Lidiya Guryanova, Oksana Panasenko, Serhiy Voznyuk
Pág. 32 - 42
The subject of the research is a set of models of systems analysis of the educational services market. The goal of the work is to develop a set of models of systems analysis of the educational services market in Ukraine, which allow to assess the state o...
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Vivien Lorencic, Elen Twrdy and Milan Batista
Cruise shipping has been extremely popular in recent years, and one of the fastest-growing areas has been the Mediterranean. In the paper, we examine the evaluation of possible competitive?cooperative relationships among Mediterranean cruise ports for th...
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Michal Dominik Stasiak
Pág. 39 - 45
An exchange rate between two currencies can be described in a binary representation. The binarization algorithm transforms the exchange rate represented by tick data into a binary string. Each course change equal to a given discretization unit is assigne...
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Alexis S. Esposto, Luis Federico Giménez
Pág. 37 - 56
Los países industrializados evidencian un sostenido proceso de upskilling en sus mercados de trabajo durante los últimos treinta años, esto implica que la demanda laboral se ha sesgado hacia ocupaciones intensivas en habilidades y conocimiento,...
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Luis A. Fletscher, Alejandra Zuleta, Alexander Galvis, David Quintero, Juan Felipe Botero and Natalia Gaviria
While 5G has become a reality in several places around the world, some countries are still in the process of assigning frequency bands and deploying networks. In this context, there is a significant opportunity to explore new market models for the manage...
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Gianluigi Farru, Fabiano Bisinella Scheufele, Daniela Moloeznik Paniagua, Fritz Keller, Changyoon Jeong and Daniele Basso
This study assesses the status of hydrothermal carbonization (HTC) technology and identifies barriers hindering its commercial viability. Conducting a global survey among HTC companies (with a total of 24 surveys sent), the research evaluates the current...
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Treerak Kongthanasuwan, Nakarin Sriwiboon, Banpot Horbanluekit, Wasakorn Laesanklang and Tipaluck Krityakierne
The automotive and auto parts industries are important economic sectors in Thailand. With rapidly changing technology, every organization should understand what needs to be improved clearly, and shift their strategies to meet evolving consumer demands. T...
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Benomar Ikram, Ben El Haj Fouad and Chelh Sara
This paper offers a comprehensive empirical overview of the impact of overconfidence in the stock market, thus contributing to the existing research literature on this topic. The study employs a bibliometric approach that utilizes the VOSviewer to extrac...
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Shahid Raza, Sun Baiqing, Pwint Kay-Khine and Muhammad Ali Kemal
The stock markets in developing countries are highly responsive to breaking news and events. Our research explores the impact of economic conditions, financial policies, and politics on the KSE-100 index through daily market news signals. Utilizing simpl...
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Ben Hasselgren, Christos Chrysoulas, Nikolaos Pitropakis and William J. Buchanan
Making investment decisions by utilizing sentiment data from social media (SM) is starting to become a more tangible concept. There has been a broad investigation into this field of study over the last decade, and many of the findings have promising resu...
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Bikram Pratim Bhuyan, Vaishnavi Jaiswal and Amar Ramdane Cherif
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gaining ...
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Amonrat Thoumrungroje and Olimpia C. Racela
Given that the ultimate goal of business is performance enhancement, this study approaches the phenomenon by drawing on resource-advantage (R-A) theory to conceptualize a model with the aim of investigating the links among composite operant resources (CO...
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Changro Lee
Pág. 30 - 40
Although clustering analysis is a popular tool in unsupervised learning, it is inefficient for the datasets dominated by categorical variables, e.g., real estate datasets. To apply clustering analysis to real estate datasets, this study proposes an entit...
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Sboniso Mokoena, Bomi Nomlala
Pág. 25 - 33
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Sofana Reka S, Prakash Venugopal, Ravi V, Hassan Haes Alhelou, Amer Al-Hinai and Pierluigi Siano
The automotive industry is marching towards cleaner energy in the impending future. The need for cleaner energy is promoted by the government to a large degree in the global market in order to reduce pollution. Automobiles contribute to an upper scale in...
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Markus Arlindo Monteiro, Bennie Grové and Nicolette Matthews
Grain marketing is complex because important decisions are made on the timing of sales and the quantities sold at every trading activity. The literature suggest various grain-hedging strategies, however these strategies are not adaptable to changing mark...
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Hülya Yilmaz,Bülent Ilhan
Pág. 26 - 38
This paper investigates the dynamic relationship between the stock market index and a set of macroeconomic variables in four emerging countries. The dependent variable measures monthly stock exchange points of respective markets from January 2010 to Marc...
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Hülya Yilmaz, Bülent Ilhan
Pág. 26 - 38
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Fahd Alduais, Nashat Ali Almasria, Abeer Samara and Ali Masadeh
The purpose of this study was to examine the relationship between the conciseness and complexity of financial disclosures and market reactions, using the annual reports of Chinese-listed B-share companies over the period 2006?2018. We employed a set of s...
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Yuefeng Cen, Mingxing Luo, Gang Cen, Cheng Zhao and Zhigang Cheng
It is meaningful to analyze the market correlations for stock selection in the field of financial investment. Since it is difficult for existing deep clustering methods to mine the complex and nonlinear features contained in financial time series, in ord...
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