Oeconomia Copernicana最新文献

{"title":"Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan","authors":"Tomasz Korol, A. Fotiadis","doi":"10.24136/oc.2022.013","DOIUrl":"https://doi.org/10.24136/oc.2022.013","url":null,"abstract":"Research background: The global financial crisis from 2007 to 2012, the COVID-19 pandemic, and the current war in Ukraine have dramatically increased the risk of consumer bankruptcies worldwide. All three crises negatively impact the financial situation of households due to increased interest rates, inflation rates, volatile exchange rates, and other significant macroeconomic factors. Financial difficulties may arise when the private person is unable to maintain a habitual standard of living. This means that anyone can become financially vulnerable regardless of wealth or education level. Therefore, forecasting consumer bankruptcy risk has received increasing scientific and public attention. \u0000Purpose of the article: This study proposes artificial intelligence solutions to address the increased importance of the personal bankruptcy phenomenon and the growing need for reliable forecasting models. The objective of this paper is to develop six models for forecasting personal bankruptcies in Poland and Taiwan with the use of three soft-computing techniques.\u0000Methods: Six models were developed to forecast the risk of insolvency: three for Polish households and three for Taiwanese consumers, using fuzzy sets, genetic algorithms, and artificial neural networks. This research relied on four samples. Two were learning samples (one for each country), and two were testing samples, also one for each country separately. Both testing samples contain 500 bankrupt and 500 nonbankrupt households, while each learning sample consists of 100 insolvent and 100 solvent natural persons.\u0000Findings & value added: This study presents a solution for effective bankruptcy risk forecasting by implementing both highly effective and usable methods and proposes a new type of ratios that combine the evaluated consumers? financial and demographic characteristics. The usage of such ratios also improves the versatility of the presented models, as they are not denominated in monetary value or strictly in demographic units. This would be limited to use in only one country but can be widely used in other regions of the world.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47667773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel advertising media selection framework for online games in an intuitionistic fuzzy environment","authors":"Jalil Heidary Dahooie, M. Estiri, M. Janmohammadi, E. Zavadskas, Zenonas Turskis","doi":"10.24136/oc.2022.004","DOIUrl":"https://doi.org/10.24136/oc.2022.004","url":null,"abstract":"Research background: The critical role of online games in e-commerce and the great competition among providers to enhance market share has significantly increased the need to use effective advertising patterns, techniques, and tools to attract users. There are two significant challenges to planning online media game selection. The first challenge is that there is no agreement on media selection criteria for online game advertising. The second challenge relates to the complexity of choosing advertising media.\u0000Purpose of the article: Given the multidimensionality and uncertainty in evaluating and selecting advertising media, especially in the case of online games, the need to provide a systematic framework for evaluating and selecting media is critical.\u0000Methods: The present study aims to provide a systematic framework based on multi-attribute decision-making (MADM) methods to evaluate and select the appropriate media for online game advertising. For this purpose, first, by reviewing the literature, a relatively comprehensive list of media selection criteria for online game advertising was extracted and then provided to experts in online game marketing and advertising in the fuzzy Delphi questionnaire. Then, based on their opinions, a localized decision model was obtained. Also, the Step-wise Weight Assessment Ratio Analysis (SWARA) method helped to determine the criteria? importance. In the next step, a preliminary list of online game advertising media was prepared and evaluated by experts based on the criteria obtained in the previous step. Finally, the media was ranked using the Additive Ratio ASsessment (ARAS) method.\u0000Findings & value added: Awareness of the criteria affecting the selection of online game advertising media and having a systematic framework for applying these criteria in advertising media selection decisions play a vital role in practical decisions. This research addresses one of the main gaps in the field of study by proposing a quantitative methodology for integrating information based on the knowledge of experts in the decision-making processes select advertising media for online games. Most traditional media selection processes are based solely on experience and estimation, and in practice, they are unable to systematically prioritize the alternatives due to the multiplicity of media available and the complexity of the decision-making process Interval-valued triangular fuzzy numbers (IVTFNs) can address the shortcomings of previous research while considering the uncertainties in this decision-making process. The findings of this framework can be good support for e-commerce managers and online game advertising practitioners.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45176332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender-generation characteristic in relation to the customer behavior and purchasing process in terms of mobile marketing","authors":"R. Štefko, R. Bačík, Richard Fedorko, M. Oleárová","doi":"10.24136/oc.2022.006","DOIUrl":"https://doi.org/10.24136/oc.2022.006","url":null,"abstract":"Research background: Today, it is an m-commerce platform that provides brands with the opportunity to foster their sustainable image and communicate with environmentally and socially conscious consumers. Proper communication that respects the customer's interests, conducted through mobile marketing tools, can be a key to creating a competitive advantage. Therefore, it is essential, at the level of scientific research, to broaden the knowledge base in the field of consumer behavior.\u0000Purpose of the article: The research was aimed at assessing ten purchasing behavior constructs in terms of gender and generation characteristics, as well as inferring impact on and assessing the difference between generations (Generation X and Y) and gender in terms of purchasing behavior.\u0000Methods: The sample consisted of 765 Slovak respondents. The Wilcoxon Test was used for differences testing. Partial Least Squares ? Path Modeling (PLS-PM) was used to determine the general impact and the permutations-based method was used to assess the difference in impact between gender and generation characteristics.\u0000Findings & value added: The difference in purchasing behavior patterns between the categories of gender and generation was significant in most cases, with the most significant difference being seen in the Visual Appeal of an e-shop. The most striking general influences were recorded between Hedonic Browsing and Urge to Buy, also the impact of Portability on Hedonic Browsing and Utilitarian Browsing. These findings indicate the potential of retailers to communicate effectively with their customers not only about products, but also about sustainable practices and values while engaging consumers in purchasing processes. Proper optimization of marketing processes, in terms of impulsive and thought-through purchases too, positively influences the user experience and the satisfaction with the purchase process. These facts may positively influence the sale and, in a broader perspective, increase the competitiveness and overall value of the e-commerce entity. It is also worth emphasizing the long-term value for the customer, as the application of the model leads to better satisfaction of customer needs, thus to a stable growth not only of the organizations, but ultimately of the economy as a whole.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45158231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the organizational commitment, subjective vitality and burnout effects on turnover intention in private universities","authors":"Vishnu Parmar, Zahid Ali Channar, Rizwan Raheem Ahmed, D. Štreimikienė, M. H. Pahi, J. Streimikis","doi":"10.24136/oc.2022.008","DOIUrl":"https://doi.org/10.24136/oc.2022.008","url":null,"abstract":"Research background: Faculties of private universities are under immense working pressure, which causes stress and burnout. The job burnout triggers the psychological pressure, which increases the turnover intention. \u0000Purpose of the article: The undertaken study aims to evaluate the scale of burnout with its three-element model, which affects faculty members of private universities of Pakistan. This research also aims to examine the mediating effect of organizational commitment (e.g., affective, normative & continuance commitments), and moderating influence of subjective vitality in a relationship of job burnout and its constituents, for example exhaustion, efficacy & cynicism, and the turnover intention.\u0000Methods: The 712 responses were collected through a structured questionnaire from the junior and senior faculty members of private universities of Pakistan. The data was examined by using second order partial least square ? structural equation approach ? PLS-SEM.\u0000Findings & value added: The research findings exhibited that emotional exhaustion, cynicism, and professional efficacy have a direct significant influence on job burnout. The findings further demonstrated that the job burnout has a cogent and negative impact on faculty turnover intention. The findings demonstrated that elements of organizational commitment (e.g., normative, affective & continuance commitments) have a forceful serial mediating influence between burnout & its constituents for example exhaustion, efficacy & cynicism, and turnover intention. Finally, the findings have revealed that subjective vitality has a significant and positive impact as a moderating variable in a relationship between job burnout and turnover intention. This research has a long-term theoretical contribution, as it provides a novel conceptual framework, which can be replicated in different industries. Thus, this unique model provides the solution to reduce employees? turnover for other industries as well. ","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46663762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing structural power dynamics in buyer-supplier relationships: a power sources framework and application of the critical incident technique","authors":"Dariusz Siemieniako, P. Kaliszewski","doi":"10.24136/oc.2022.005","DOIUrl":"https://doi.org/10.24136/oc.2022.005","url":null,"abstract":"Research background: Although the literature on power asymmetry and power dynamics has recognized the issue of factors that cause power shifts in business-to-business relationships, a more systematic approach and research framework regarding the identification of these factors is lacking. There are attempts in business-to-business literature to use the critical incident technique to study dynamic phenomena, but there are no studies on the factors that increase and decrease the power of suppliers in their relationships with dominant buyers.\u0000Purpose of the article: The aim of this paper is to identify the factors that influence the most significant changes in suppliers? power in relationships with dominant buyers. An important objective is also to determine to which power sources the identified factors are assigned. This is crucial for business practitioners, who will be able to adjust their actions when managing a relationship with a dominating partner through knowledge of their own strengths as well as weaknesses.\u0000Methods: The study is based on analysis of questionnaires with open-ended questions, and uses the critical incident technique to investigate the behaviour of dyadic parties at key moments in buyer-seller relationships. We have focused on investigation of manufacturing companies mainly from the furniture, construction, energy and printing industries. The analysis of the data was based on the abductive approach as a combination of inductive and deductive coding.\u0000Findings & value added: In comparison to previous studies, which did not distinguish the level of importance of each factor, we have obtained only those factors with the greatest impact on power dynamics. We have also obtained factors which can decrease suppliers? power, whereas the literature focuses mostly on factors increasing suppliers? power. The research results reveal the factors that affect an increase and decrease in the power of weaker suppliers in relationships with dominant buyers. First- and second-order factors were identified, and subsequently 3 overarching dimensions for each increase and decrease in supplier power were deduced from the results. The most important overall dimension for the increase in power was the building of suppliers' power capabilities, while the decrease in suppliers' power was most influenced by transactional changes and changes in buyer's expectations. The results can be helpful for managers in focusing their attention on expert power in order to gain knowledge and prepare a practical background for managing asymmetric relationships. It is important to mention that the critical incident technique used in this study has not yet been used to represent power dynamics in B2B relationship literature.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46424531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors affecting SMEs growth: the case of the real estate valuation service industry","authors":"A. Małkowska, Małgorzata Uhruska","doi":"10.24136/oc.2022.003","DOIUrl":"https://doi.org/10.24136/oc.2022.003","url":null,"abstract":"Research background: Based on the literature, several ways of assessing the conduct of business and a number of factors influencing the growth and development of the companies can be identified. However, the diversity of business entities and their business environment raises the importance of considering the unique nature of the industry in the selection of performance measures. Our research focuses on real estate valuation firms that provide information and consulting services to real estate markets.\u0000Purpose of the article: As professional practice shows, there are different business models for property valuation. These businesses differ in their organisational and legal form and the type of valuations performed, the type of client served, or the scope of services provided. The main purpose of the research is to identify factors that significantly affect the development odds of valuation companies in Poland, especially the growth of income.\u0000Methods: The study was based on data collected from the survey of Polish real estate valuers. The analysis was conducted on a sample of 277 professionals who own valuation companies and were certified no later than the end of 2014. A quantitative analysis using a logistic regression model was conducted to identify the factors that influence the prospects for valuation business growth.\u0000Findings & value added: The research confirms the relationship between the way of conducting real estate valuation activities and its development chances. The most important factors are a spatial and substantive range of services, cooperation and employment, and clients' profile. Demographic characteristics were also found to be significant. Although the results presented here are based on data from the real estate valuation industry, their relevance is much broader. The findings provide a better understanding of the factors that influence the performance and success of SMEs, particularly in the information and consulting industry.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46224251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models","authors":"Irina Dijmărescu, Mariana Iatagan, Iulian Hurloiu, Marinela Geamănu, Ciprian Rusescu, A. Dijmărescu","doi":"10.24136/oc.2022.007","DOIUrl":"https://doi.org/10.24136/oc.2022.007","url":null,"abstract":"Research background: With growing evidence of biometric identification techniques as authentication, there is a pivotal need for comprehending contactless payments by use of facial recognition algorithms in retail, restaurant, and hotel business models.\u0000Purpose of the article: In this research, previous findings were cumulated showing that harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience.\u0000Methods: Throughout March and November 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms including ?facial recognition payment technology?, ?facial recognition payment system?, ?facial recognition payment application?, ?face recognition-based payment service?, ?facial authentication for mobile payment transactions?, and ?contactless payment through facial recognition algorithms.? As the analyzed research was published between 2017 and 2021, only 187 articles satisfied the eligibility criteria. By removing questionable or unclear findings (limited/nonessential data), results unsubstantiated by replication, too general content, or having quite similar titles, 38, mainly empirical, sources were selected. The Systematic Review Data Repository was harnessed, a software program for the gathering, processing, and analysis of data for our systematic review. The quality of the selected scholarly sources was assessed by employing the Mixed Method Appraisal Tool.\u0000Findings & value added: Harnessing facial recognition payment applications as software-based contactless biometric algorithms results in remarkably qualitative enhancement in purchasing experience. Subsequent attention should be directed to whether perceived value and trust shape customers? adoption of biometric recognition payment devices.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47660435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hysteresis and stochastic convergence in Eurozone unemployment rates: evidence from panel unit roots with smooth breaks and asymmetric dynamics","authors":"Ayşegül Çorakcı, Tolga Omay, M. Hasanov","doi":"10.24136/oc.2022.001","DOIUrl":"https://doi.org/10.24136/oc.2022.001","url":null,"abstract":"Research background: Studying the dynamic characteristics of unemployment rate is crucial for both economic theory and macroeconomic policies. Despite numerous research, the empirical evidence about stochastic behaviour of the unemployment rate remains disputable. It has been widely agreed that most economic variables, including unemployment rates, are characterized by both structural breaks and nonlinearities. However, a little work is done to examine both features simultaneously.\u0000Purpose of the article: In this paper, we analyse the stationarity properties of unemployment rates of Euro area member countries. Also, we aim to test stochastic convergence of unemployment rates among member countries. Our empirical procedures explicitly allow for simultaneous gradual breaks and nonlinearities in the series.\u0000Methods: This paper develops a new unit root test procedure for panel data, allowing for both gradual structural breaks and asymmetric adjustment towards equilibrium. We carry out Monte Carlo simulations to examine small sample performance of the proposed test procedure and compare it to the existing test procedures. We apply the newly proposed test to examine the stochastic properties of the unemployment rates of Euro-member countries as well as relative unemployment rates vis-?-vis the Eurozone unemployment rate.\u0000Findings & value added: We find that the newly developed test procedure outperforms existing tests in highly nonlinear settings. Also, these tests reject the null hypothesis of unit root in more cases when compared to the existing tests. We find stationarity in the series only after allowing for structural breaks in the data generating process. Allowing for nonlinear and asymmetric adjustment in addition to gradual breaks provides evidence of stationarity in more cases. Furthermore, our results suggest that relative unemployment rate series are stationary, providing evidence in favour of stochastic convergence in unemployment rates. Overall, our results imply a limited room for coordinated economic policy to fight unemployment in the Eurozone.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":"1 1","pages":""},"PeriodicalIF":8.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69085802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selected factors of internationalisation and their impact on the SME perception of the market risk","authors":"Zuzana Virglerová, E. Ivanova, J. Dvorský, J. Bélas, T. Krulický","doi":"10.24136/oc.2021.033","DOIUrl":"https://doi.org/10.24136/oc.2021.033","url":null,"abstract":"Research background: Internationalisation of entrepreneurial activities provides an ample opportunity for the growth and sustainability of small and medium-sized enterprises (SMEs). When making their business activities international, SMEs are facing various obstacles. Investigating the key factors of internationalisation and their impact on SME decision making constitutes a key factor of the research work. \u0000Purpose of the article: The main purpose of the paper is to examine the impact of selected factors of SME internationalisation on the positive perception of the market risk. Higher export costs, differences in legal environment, taxes, and linguistic and cultural differences were set to be the significant factors influencing the positive perception of the market risk. Bearing the main purpose in mind, the Visegrad Four (V4 ? Czech Republic, Slovakia, Poland, Hungary) were examined. \u0000Methods: The questionnaire in mother tongue of each country in online and paper form was used. The questionnaire consists of 77 questions divided into several sections. Likert five-point scale was used to allow the respondents to express their opinion. In total, 1585 responses were completed. A regression analysis was used to verify the statistical significance of the independent variables and to quantify the causal relationships (determining the direction and strength of the effect) on the dependent variable. As the variables are of one metric, a linear regression model (LRM) was selected to validate the hypothesis. \u0000Findings & value added: The internationalisation of SME activities brings along many risks and barriers that SMEs need to overcome if they want to enter international markets. Many SMEs consider the barriers and restrictions to enter foreign markets to be severe. Therefore, they decide to do their business domestically. It was established in the research that only 30.2% of the respondents expanded their business activities internationally. The biggest impact on the positive assessment of the market risk was found to have linguistic and cultural differences. They do not have a negative effect on the positive perception of the market risk, so they do not hinder SMEs in their international expansion. The second most important was the factor of the export costs. The factor of possible increased costs is quite important for SMEs in making their decisions whether to expand internationally or not. This factor also shapes a positive approach to assessing the market risk by SMEs. In the research, SMEs confirmed that potential higher costs do not represent a major barrier for them in shaping their attitudes towards the market risk. The remaining factors being analysed, namely differences in legal environment and taxes, did not have a significant impact on the positive assessment of the market risk internationally. The practical implications can be found in new information about market risk in process of internationalisation provided from four selected countrie","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41337062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demand forecasting: an alternative approach based on technical indicator Pbands","authors":"A. Kolková, A. Ključnikov","doi":"10.24136/oc.2021.035","DOIUrl":"https://doi.org/10.24136/oc.2021.035","url":null,"abstract":"Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. \u0000Purpose of the article: This study aims to verify and evaluate the possibility of using Google Trends data for poetry book demand forecasting and compare the results of the application of the statistical methods, neural networks, and a hybrid model versus the alternative possibility of using technical analysis methods to achieve immediate and accessible forecasting. Specifically, it aims to verify the possibility of immediate demand forecasting based on an alternative approach using Pbands technical indicator for poetry books in the European Quartet countries. \u0000Methods: The study performs the demand forecasting based on the technical analysis of the Google Trends data search in case of the keyword poetry in the European Quartet countries by several statistical methods, including the commonly used ETS statistical methods, ARIMA method, ARFIMA method, BATS method based on the combination of the Cox-Box transformation model and ARMA, artificial neural networks, the Theta model, a hybrid model, and an alternative approach of forecasting using Pbands indicator.  The study uses MAPE and RMSE approaches to measure the accuracy. \u0000Findings & value added: Although most currently available demand prediction models are either slow or complex, the entrepreneurial practice requires fast, simple, and accurate ones. The study results show that the alternative Pbands approach is easily applicable and can predict short-term demand changes. Due to its simplicity, the Pbands method is suitable and convenient to monitor short-term data describing the demand. Demand prediction methods based on technical indicators represent a new approach for demand forecasting. The application of these technical indicators could be a further forecasting models research direction. The future of theoretical research in forecasting should be devoted mainly to simplifying and speeding up. Creating an automated model based on primary data parameters and easily interpretable results is a challenge for further research.","PeriodicalId":46112,"journal":{"name":"Oeconomia Copernicana","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44860904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}