rss_2.0Folia Oeconomica Stetinensia FeedSciendo RSS Feed for Folia Oeconomica Stetinensia Oeconomica Stetinensia Feed Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Maritime transport helps the development of the economy of countries. Improving the current situation in this type of transport requires the application of modern software tools for assessment, analysis and forecasting.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The aim of this paper is to suggest an approach for an in-depth analysis of marine traffic near to independent ports. This approach is tested and validated for the Varna and Constanta ports for the period 2004–2021. Data from Eurostat are used.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>This paper proposes a new methodology for an in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Correlations, multiple regression, graphical methods, seasonality and trendlines are used to test and validate the proposed methodology.</p> </sec> <sec><title style='display:none'>Results</title> <p>The results show that the proposed methodology may be applied for other independent ports and periods. The results show some interesting facts about the analyzed ports of Varna and Constanta. Our initial assumptions that these two independent ports have similar seasonality is rejected.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>The novelty of the paper refers to a new methodology for the in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Using the methodology in this paper (for an in-depth analysis of marine traffic of independent nearby ports) similar research may be done for other nearby ports and periods. Other research may focus on finding the specific types of cargo for each port influencing the differences in seasonality. Nearby ports with separate management may use the proposed methodology for better cargo planning and investment planning.</p> </sec> </abstract>ARTICLEtrue Bibliometric Review of Green Finance: Current Status, Development and Future Directions<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>The worldwide fight against climate change and its impacts finds support in the realm of green financing. The realization of the United Nations’ sustainable objectives hinges upon it. Considering that green financing is hailed as the future of banking and investment, it demands a thorough comprehension.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The purpose of this study is to delve into the cutting-edge trends within the domain of green financing research. Employing a mixed-methods approach involving bibliometric and qualitative analysis, this research aims to provide insights into this vital field.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>Utilizing a mixed-methods approach, this study employs a bibliometric analysis, qualitative assessment, and content analysis to delve into the realm of green financing. Over a thousand interconnected papers are quantitatively analyzed, with validation from reputable sources such as Google Scholar, Web of Science, and ScienceDirect.</p> </sec> <sec><title style='display:none'>Results</title> <p>The study’s findings reveal a clear trajectory. China leads in the implementation of green finance within business operations, with the USA following suit. These results underscore crucial applications of green financing within specific research domains.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>This study unveils significant applications of green financing across various research domains. Furthermore, it highlights methods to harness the potential benefits of green financing, thus promoting research and development advancements.</p> </sec> </abstract>ARTICLEtrue Study on Loan Delinquency of the Self Help Group-Bank Linkage Programme in Rural Rajasthan<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Providing the microfinance to rural women is the prime concern of the government at central and state level in which the best microfinance programme is the Self Help Group Bank Linkage Programme. However, the Delinquency rate of the SHGBLP loan is on the higher side. As, borrowers do not make their loan repayments on time.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The purpose of this research is to examine which types of self-help groups make timely repayments of an old loan. Also, to find out the different aspects of the loan delinquency rate which affect them and to find out the impact of self-help group maturity on loan repayment.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>For this a total of 300 members were selected from the Udaipur and Banswara district of Rajasthan. Further, Tobit Regression has been applied to find out the factors which affect the loan delinquency percentages in the Self Help Group Bank Linkage Programme.</p> </sec> <sec><title style='display:none'>Results</title> <p>The results highlighted that the maturity of the SHG group affects their repayment performance as old SHGs are functioning well in terms of repayment. The reason for the high delinquency rate is that the members had no surplus Income to repay back because of the failure of Business, natural calamities and medical issues. The members who are repaying the loan back on time are giving from their agriculture and enterprise profits.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>A lot of research has been carried out on the Impact of SHGBLP on many other factors but there is no research that has been done to find out why the programme has high loan delinquencies after being the best together with the impactful microfinance programme.</p> </sec> </abstract>ARTICLEtrue Frequency Connectedness Between the Foreign Exchange Rates of Non-Euro Area Member Countries<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>The main purpose of monetary integration between EU countries is to eliminate excessive fluctuations in exchange rates. High volatility in exchange rates can cause various negative economic and financial effects, especially during periods of economic shocks. In addition, estimating the volatility between currencies and their interactions is of great importance for effective portfolio management.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The objective of this research is to scrutinize the transmission of volatility between the currencies of those European Union nations that do not participate in the EURO area, focusing on the exchange rate parity of the US Dollar with seven non-EURO zone currencies.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>Daily volatility in exchange rates was calculated using the Garman-Klass-Yang-Zhang (GK-YZ) method. To investigate the connectedness between these volatilities, we used the Time-Varying Parameter Vector Autoregression (TVP-VAR) frequency connectedness approach.</p> </sec> <sec><title style='display:none'>Results</title> <p>The Average Total Connectedness Index exhibits a significant degree of connectedness of approximately 71.84%. The Net Total Directional Connectedness Index indicates that the CZK, DKK and RON exchange rates are net beneficiaries in aggregate and in a longer term perspective, whereas the DKK, HUF and PLN exchange rates are net beneficiaries in a shorter term horizon. In the context of major global events such as the onset of the COVID-19 outbreak in March 2020 and the start of the Russia-Ukraine conflict in February 2022, it could be observed that the dynamic Total Connectedness Index exhibited a substantial increase, both overall and from a long-term perspective, corroborating theoretical expectations. According to the Net Pairwise Directional Connectedness index, the highest bilateral connectedness overall and in the short run was between DKK and RON, while in the long run between BGN and DKK.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Examining the connectedness of currencies is of great importance for investors doing business with foreign currency, international cooperation and policies, risk management and portfolio management. Determining the connectedness in different frequency (short and long-term) ranges provides important information for hedging risk. In addition, the bilateral connectedness between currencies is a guide for effective portfolio diversification.</p> </sec> </abstract>ARTICLEtrue and Monetary Measures in Achieving Green Ecology: Evidence from Nigeria<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>In light of the apparent density of the carbon output in the ecosystems of emerging regions, the United Nations has established a manual that puts an emphasis on carbon taxes as one of the quick fixes to environmental uncleanness in evolving states.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The purpose of this research is to look into the impact of monetary and fiscal policy measures on reducing carbon emissions in the ecosystems of Nigeria.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The study employs the Autoregressive Distributed Lag (ARDL) co-integration technique or the bound co-integration technique to confirm the existence of long and short term nexus and the influence of selected financial instruments on pollutant reduction. The study spans 1991 to 2021 and relies on World Bank Development Indicators data on inflation and CO<sub>2</sub> discharges in millions of metric tons. The statistics on tax earnings is derived from the Central Tax Authority in billions of national currency, but the figures on the state’s outlay and broad money supply are generated from the database of the Apex Bank in the country.</p> </sec> <sec><title style='display:none'>Result</title> <p>According to the analysis, financial instruments are not yet being directed toward reducing air pollution and environmental devastation in the country. Further investigation reveals that tax revenue gathering is positively irrelevant, but CO<sub>2</sub> has a strong positive effect on its reduction at lag 1, implying that a more eco-friendly financial strategy is required to combat environmental hazards in Nigeria.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>A Green financial system is a big issue of contention in the global public discussion about rising temperatures. Presently, there are few studies on the management of pollution using financial instruments in emerging regions. This study will serve as one of the leading investigations to align with the United Nations goal to restore our biodiversity through green fiscal and monetary policies. The study strongly suggests that the Nigerian government should pursue green fiscal and monetary mechanisms that include: issuance of green bonds; potential and cost-effective green payment plans, carbon taxation, and ecologically responsible national budgets and investment opportunities.</p> </sec> </abstract>ARTICLEtrue Sustainability of Emotional Intelligence and Decision-Making Flair by Financial Investors Through the Mediating Role of Coachability<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Investors today are more inclined towards a financial market that increases their knowledge and excess involvement. It is often observed that they are extensively emotionally involved, that impact financial investors’ investment decisions. It is observed that investors always seek guidance from an expert to invest in more appropriate products and services. This guidance and support lead to reaching the ultimate satisfaction of the participants.</p> </sec> <sec> <title style='display:none'>Purpose:</title> <p>This paper aims to examine the potential mediating role of investor coachability and its impact on financial investors’ emotional intelligence and decision-making styles.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The structured questionnaire was circulated among 106 respondents, of which 102 useful responses were considered. This research used validated scales of the Coachability Quotient questionnaire and the Schutte Self-Report Emotional Intelligence Test (SSEIT). The study has applied multiple regressions to predict rational decision-making and intuitive decision-making style through emotional intelligence and coachability as mediators.</p> </sec> <sec><title style='display:none'>Results</title> <p>The results have found that emotional intelligence has a significant positive linear effect on coachability, with a positive direct impact on intuitive decision-making style. It was also found that emotional intelligence was found to have a significant positive direct effect on intuitive decision-making style and a negative linear direct effect on avoidance decision-making style.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>This research was to introduce the idea of incorporating behavioural finance or financial coaching as standard practice and to help investors learn to cope with the ever-increasing demands of the financial markets.</p> </sec> </abstract>ARTICLEtrue Profitability of Legal Mergers in Times of Economic Crisis – A Polish Example<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Recent years have brought a serious economic crisis, first caused by the COVID-19 pandemic and later worsened by the Russian invasion of Ukraine. The global economy was greatly affected by these events, so it can be expected to see them affect the post-merger financial performance of companies.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The aim of the paper is to examine if the pandemic and the Russian invasion of Ukraine had any effect on the financial performance of combined companies during these events in comparison to merged companies for which the 3-year post-merger period ended in 2019.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The research methods used involve a critical literature analysis and statistical tests. This study analyses the financial ratios of Polish public companies which participated in legal mergers which were finalised between 2016 and 2018. For each company necessary ROA ratios were calculated (pre-merger ROA ratio, ROA ratio for the 3rd year after the merger). The data was grouped according to the year of the merger and then compared to test the hypotheses.</p> </sec> <sec><title style='display:none'>Results</title> <p>There was no statistically significant difference in the distribution of profitability ratios for the analysed companies before and during the crisis. However, there is evidence that there was a statistically significant increase in profitability ratios pre- and post-merger for legal mergers finalised in 2017.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>The paper provides an initial insight into how the latest economic crisis affected the financial performance of Polish public companies after a legal merger.</p> </sec> </abstract>ARTICLEtrue Capital Value Addition and the Efficient Assets Management of Listed Manufacturing Firms in Nigeria<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>One crucial area that has not received good research attention is intellectual property. Even organizations engage the services of recruiting firms to get the best labour, and some workers earn more than others. But intellectual value addition is not ascertained.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The goal of this study is to examine the effect of intellectual capital value addition on the efficient asset management of manufacturing firms in Nigeria.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>Data was sourced from the published annual accounts of 24 manufacturing firms. The VAIC was adapted to measure Intellectual capital value addition which is the predictor variable, while Return on Assets was used as a determinant of efficient assets management. The ordinary least square regression of the panel data was used to test the hypothesis.</p> </sec> <sec><title style='display:none'>Result</title> <p>The outcome of the regression revealed that HC is a determinant of ROA with a co-efficient of regression and a significant value of (0.102 &gt; 0.5). SC has an adverse and noteworthy influence on ROA as indicated (–0.046 &gt; 0.05) while CEE has a positive and significant influence on ROA (0.825 &gt; 0.50). The paper affirmed that a weighty and constructive relationship exists amid intellectual capital and efficient assets management of the manufacturing companies and endorsed that listed manufacturing businesses in Nigeria should efficiently and effectively manage intellectual capital.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>This has contributed to extant literature as it’s the first study to investigate the effect of intellectual capital addition on efficient assets management in listed manufacturing companies in Nigeria. There is no study of this nature in Nigeria that has successfully adopted VAIC and it has proved that corporations consider hiring the best-skilled labour because of its contribution which improves the performance of such business. Again, this study covered 240 firm years, that is, ten years each of twenty-four companies, which no other previous study has done.</p> </sec> </abstract>ARTICLEtrue Differences In Work Values In The Workplace<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Generational differences in work values, specifically in India, are now having an impact on organizational effectiveness and workplace environments. Even though a wide range of perspectives, experiences, and skill sets might be valuable to a business, generational mixing can also lead to conflict and a lack of agreement in the workplace. Such disagreements have a negative effect on the workplace since they reduce productivity and negatively damage employee morale. To solve the problems of inefficiency caused by the generation gap, different generations in the workplace must understand the differences between the three generations and be able to get along with each other.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>Examining the differences between three generations in the workplace is the purpose of the study. The study also aims to examine how different generations have different work values.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>To examine the current situation in IT companies of Delhi and NCR. A total of 450 employees completed a questionnaire. Baby Boomers were defined as those born between (1946–1964), Generation X was born between (1965-1980) and Generation Y was born between (1981–1996). The values of status and freedom at work were more important to the younger group than to the older group.</p> </sec> <sec><title style='display:none'>Results</title> <p>There were significant generational differences, with Baby Boomers having higher status values and extrinsic values in organizations than Generation X and Generation Y. Values have an important role in directing behaviour and improving work motivation. An organization’s work values and expectations must be clarified to workers, and values must be flexible enough to satisfy the demands of various employees.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Furthermore, Generation Y is the first generation that has grown up with the Internet; as a result, they consider working together virtually to be standard procedure.</p> </sec> </abstract>ARTICLEtrue Comparative Analysis of Household Incomes of People with Different Levels of Education in Poland and the USA<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Household income is one of the most important economic categories depending on various factors, in particular on the level of education of the head of the household. Salaries are treated as the market valuation of graduates made by employers. Hence, the question arises of how the education system affects the distribution of household income, in particular in the group of people with higher education.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The aim of the paper is to apply the Singh-Maddala model to describe the income distribution of people with primary, secondary and higher education in Poland and the USA. On the basis of numerical characteristics and measures of income inequality, the situation of education, in particular higher education, and its impact on household income in the analyzed countries were assessed.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The study used data from the Luxembourg Income Study Database (LIS) from 2020. All analyzes were based on the Singh-Maddala model. The maximum likelihood method was used to estimate the model parameters.</p> </sec> <sec><title style='display:none'>Results</title> <p>The analysis showed that the higher the level of education, the better the income situation of the household. In Poland, salaries in the group of people with higher education are the most unequal, while in the USA the greatest income inequalities occur in the group of people with primary education.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>The paper describes the issue of household income distribution and income inequality, which is an important and current socio-economic problem. To describe and analyze the economic situation of the household incomes of people with different levels of education in Poland and the USA statistical data from the Luxembourg Income Study Database (LIS) was used. Empirical studies conducted for different samples add significantly to existing knowledge on the topic.</p> </sec> </abstract>ARTICLEtrue of Production Risk in Intensive Chicken Farms – The Case of Kosovo<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>The egg production sector in the poultry industry in Kosovo is well developed, with intensive chicken farms that meet 99% of domestic demand (MAFRD, 2021). However, this industry is not without risks. As such, this research investigates the production risks faced by intensive chicken farms.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>This study aims to investigate the severity of production risks and familiarize farmers with their levels.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>Both qualitative and quantitative statistical methods were utilized in this study. Indicators are defined to measure the perception of farmers according to the Likert scale ranging from 1 (very low) to 5 (very high). A quantitative analysis is then performed to calculate the interval width, loss distribution, damage standard deviation, and coefficient of variation.</p> </sec> <sec><title style='display:none'>Results</title> <p>The qualitative analysis reveals that farmers’ perceptions of production risks are not necessarily related to financial damages. The risk matrix is used to convey the levels and severity of production risks. The quantitative analysis shows that production risks have a high degree of dispersion (82.35%), a high standard deviation (€13,526), and a very high coefficient of variation (204%).</p> </sec> <sec><title style='display:none'>Novelty</title> <p>This study is novel in that it is the first to explore production risks in the intensive chicken production industry in Kosovo. Previous studies have only focused on financial risk, market risk, legal risk and human resource risk.</p> </sec> </abstract>ARTICLEtrue and Cash Financial Performance of Information Technology Companies During the COVID-19 Pandemic<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Many companies have experienced a significant impact on their financial performance due to the pandemic period. The effects were mostly negative as a result of by due to the various restrictions that were put in place to limit direct contact among people and restrict mobility during the pandemic. As a result, online contacts increased, therefore, we decided to ask the following research question: Did the performance of Information Technology companies increase during the COVID-19 pandemic?</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The aim of the research was to examine the financial performance of Information Technology businesses from 2018 to 2021. In the article, a ratio analysis was conducted using the bi-annual financial data of IT companies.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The analysis included data accrual and cash results. The objective of the investigation was to assess the economic status of Information Technology firms, utilizing various analytical tools such as ratio analysis. Descriptive statistical methods were also employed to provide an overview of the findings. Furthermore, logit and discriminant models were utilized to summarize the financial outcomes.</p> </sec> <sec><title style='display:none'>Results</title> <p>Based on the findings of the study that examined the financial status of Information Technology firms before and during the COVID-19 pandemic, it appears that these companies were able to maintain or improve their financial status during the pandemic, which goes against the general trend observed in the economy.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Our examination of Information Technology firms’ bi-annual accrual and cash financial outcomes amid the COVID-19 pandemic is unique due to the macroeconomic element – the epidemic at such a scale had not taken place in many years of the Polish market economy.</p> </sec> </abstract>ARTICLEtrue Effects of Foreign Participation on Chinese Government Bond Yields<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Since 2015, when China opened up its onshore bond markets more substantially, foreign investors have significantly increased their investments in Chinese local currency bonds.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>This study aims to examine the effects of foreign participation on Chinese government bond yields.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>This study adopts a robust least squares model and a cointegration model.</p> </sec> <sec><title style='display:none'>Results</title> <p>(Greater) foreign participation can significantly decrease 10-year Chinese government bond yields.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>There are almost no studies of the benefits and costs of foreign participation in Chinese bond markets. The conclusion drawn from this study is the first of its kind in the academic literature on the Chinese market, and contributes to knowledge about foreign participation in local currency bond markets.</p> </sec> </abstract>ARTICLEtrue Predictive Power of Macroeconomic Variables on the Indian Stock Market Utilizing an Ann Model Approach: An Empirical Investigation Based on BSE Sensex<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>The paper focuses on the use of Artificial Neural Networks (ANNs) for forecasting time series data of the stock market since ANNs are dynamic and are more capable of handling complex data sets in comparison to conventional forecasting techniques such as regression, Logistic regression, and have massive potential for the prediction of stock market prices.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>Artificial neural networks are an effective method for forecasting time series. Therefore, this study aims to forecast the closing price of the BSE Sensex using artificial neural networks (ANNs).</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The study uses nine input variables, including macroeconomic and global stock market factors, to estimate the BSE Sensex using scaled conjugate gradient algorithm artificial neural networks (SCGANNs) and Bayesian regularized artificial neural networks (BRANN).</p> </sec> <sec><title style='display:none'>Results</title> <p>As per the empirical results of the study, the ANN model can forecast the closing values of the BSE Sensex with a Bayesian Regularization (BR) method with an accuracy of over 99 percent, thus leading to significant implications for domestic institutional investors (DIIs), foreign institutional investors (FIIs), investment houses, and so on. This study adds more value to the existing literature by proving that the BRANN models outperform SCGANN in stock market forecasting.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>This is the first study to employ macroeconomic variables as input variables for predicting the Indian stock market using ANN. The study highlights the ANN model’s forecasting potential, giving investors robust and accurate stock value prediction capabilities.</p> </sec> </abstract>ARTICLEtrue Direct Investment, Gross Capital Formation, Foreign Remittances, and Economic Growth in Zimbabwe<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Capital investment financing has been cited as a critical element in economic growth the world over although there is no consensus regarding the significance, direction, and magnitude of the relationship.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The article investigated the relationship between foreign direct investment, gross capital formation, personal remittances, and gross domestic product in Zimbabwe from 1960–2020.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The random effects model was used to examine this relationship using data collected from the World Development Indicators database. The random effects model was selected after performing the Hausman test.</p> </sec> <sec><title style='display:none'>Results</title> <p>All the regression coefficients of the country’s gross domestic product reveal a direct or positive relationship with the three independent variables. Furthermore, the study reveals that gross capital formation had the highest contribution to Zimbabwe’s gross domestic product compared to that of foreign direct investment and personal remittances for the period under study. The coefficients of determination of the independent variables were significant. In other words, foreign direct investment accounted for 57.24%, gross capital formation 68.47%, and personal remittances 48.76% to foreign direct investment for the same period.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>The article closed the gap in knowledge by drawing attention to the relationship between foreign direct investment, gross capital formation, personal remittances, and gross domestic product in Zimbabwe.</p> </sec> </abstract>ARTICLEtrue Common Correlated Effects of Geopolitical Risk on International Tourism Arrivals<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Geopolitical risk is currently recognized as a worldwide concern that significantly affects various economic sectors. As a consequence, rising geopolitical risks can cause a decline in the number of tourist arrivals.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The aim of this paper is to examine the applicability of a commonly used dynamic model, the autoregressive distributed lag model (ARDL), in a panel data context and the effect of geopolitical risk on explaining tourist demand in chosen countries across long and short time periods.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>On 18 developing economies, the Cross-sectionally Augmented Distributed Lag (CS-ARDL) technique is used.</p> </sec> <sec><title style='display:none'>Results</title> <p>The results of the test show interesting insights. Although the consequences of geopolitical threats in the short term are significant and have a negative impact on tourist arrivals, in the long term, results show there is no effect. Specifically, a rise in geopolitical risk decreases foreign visitor visits in the short term but has no lasting impact.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Using an econometric model, this study contributes to the limited research on the link between geopolitical risk and tourist arrivals.</p> </sec> </abstract>ARTICLEtrue of Business Intelligence on Company Performance: A System Dynamics Approach<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Businesses struggle with operational optimisation and seek a solution by implementing Business Intelligence (BI) to boost sales. But, due to the lack of research that use actual data from real-world situations; the impetus of this research is to exploit BI parameters to enhance company performance.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>This research aims to develop a System Dynamics (SD) based model to assess whether a Japanese company which manufactures Printed Circuit Boards (PCB) should invest in BI to improve its operations based on the rate of information processing, thereby leading to increased financial performance.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>The authors requested financial statements for three years (2019 to 2021) from the management of the PCB company, followed by validation based on subject experts’ assessments. The model was developed and simulated step-by-step with consideration of the SD approach involving problem identification, model prototyping, trouble shooting and error analysis.</p> </sec> <sec><title style='display:none'>Results</title> <p>If BI was used to process data at a rate of 40%, the endogenous factors considered in this study would increase the company’s net profit and accumulated earnings by 25.77% and 48.28%, respectively.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>The research is unique in the sense that the model was developed based on inter-relationships between the variables, and the data is based on a real-life situation. Furthermore, the methodology could be applied with the necessary modifications to industries such as service, media, and education.</p> </sec> </abstract>ARTICLEtrue Impact of Innovation on the Sustainable Development of Enterprises<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Innovations are of great interest to scientists, practitioners, and decision-makers as a key instrument for achieving sustainable development, the existing literature indicates theoretical and methodological gaps in this area.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The main objective of this article is to examine whether innovation positively impacts sustainable development in enterprises in the SME sector.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>the study was conducted among enterprises from the SME sector in Poland. In the field of research, the electronic questionnaire technique (Google Forms) was used. Partial square inclusion equation (PLS) structural modeling was used to analyze the data.</p> </sec> <sec><title style='display:none'>Results</title> <p>The ability of enterprises to achieve the desired result, create and improve products and services, high-quality products, and quick processes of transforming an idea into a product/service affect the development of enterprises towards sustainable development.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Compared to previous studies, this article contains significant novelties. First, the measure of innovation and sustainable development was analyzed. Secondly, the contribution of innovation to sustainable development is shown. The article is a contribution to further research, as it formulates selective conclusions from empirical research.</p> </sec> </abstract>ARTICLEtrue Effect of Pleasure-Seeking and Loss Aversion in the Relationship Between Phantasy and Financial Risk Tolerance and the Moderating Role of Confidence<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Deciding to trade in financial markets is psychologically difficult and wearing. Investors want to find rational justifications for the correctness of their decisions. However, there is uncertainty in financial markets. This uncertainty does not allow for mathematical calculations. In such case, feelings get involved in the decision process.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>This study aimed to investigate the mediating effect of two motivational systems (loss aversion and pleasure-seeking) on the effect of phantasy, which is fantasies that are based on an individual’s early infancy, that develop and exist throughout life, but are not consciously aware of by the individual, on financial risk tolerance, and to analyze the moderating effect of confidence in the effect of these two motivational systems on financial risk tolerance.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>Data were collected from 1,643 subjects from Turkey in November–December 2021 using a questionnaire. The link to the survey prepared by the researchers was created using Google Survey and shared by our graduates’ students on their social networks.</p> </sec> <sec><title style='display:none'>Results</title> <p>According to the results, phantasy had a positive and significant effect on both motivational systems and financial risk tolerance. Simultaneously, two motivational systems have a mediating effect on the relationship between phantasy and financial risk tolerance. Confidence, on the other hand, has a moderating effect on the effect of these two motivational systems on financial risk tolerance. In addition, as expected, phantasy showed its effect on all individuals without differing according to demographic variables. Despite this, loss aversion and low financial risk tolerance were higher in female and married individuals. While pleasure-seeking is higher in males, it does not differ according to marital status.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Modeling unconscious processes, motivational systems and individual characteristics such as confidence together will provide important and useful findings for both investors and market authority in terms of showing the effect of unconscious and cognitive factors on financial risk tolerance.</p> </sec> </abstract>ARTICLEtrue Assessment of How the Impact of Emotional Intelligence and Behavioural Biases Determine the Investment Decisions of Information Technology Professionals<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Research background</title> <p>Emotional intelligence (EI) has been shown in earlier research to be crucial in determining how people proceed through life. Emotional intelligence (EI) is one of the most important determinants of how people relate to one another and feel.</p> </sec> <sec><title style='display:none'>Purpose</title> <p>The study’s main aim is to comprehend in detail the assessment of Behavioural components and better understand the decision-making process of Information Technology Professionals, interrelationship and impact of emotional intelligence.</p> </sec> <sec><title style='display:none'>Research methodology</title> <p>438 Information Technology Professionals provided the data for this study. The study conducted in a tri-city area in India consisting of Chandigarh, Mohali, and Panchkula. This investigation used the purposive testing technique and a conceptual framework developed to outline an empirical assessment of the impact of emotional intelligence on the behavioural biases of IT professionals.</p> </sec> <sec><title style='display:none'>Results</title> <p>Individual investors’ investment selections connected to information technology professionals’ conduct predispositions and emotional intelligence insights. Information Technology Professionals take investing selections that have an impact of Emotional Intelligence.</p> </sec> <sec><title style='display:none'>Novelty</title> <p>Knowledge of behavioural biases while making an investment choice will be useful for financial advisers, who can then advise investors on how to counteract such biases.</p> </sec> </abstract>ARTICLEtrue