Pressacademia最新文献

{"title":"FINANCIAL DISTRESS PREDICTION COMPETENCE OF THE ALTMAN Z SCORE AND ZMIJEWSKI MODEL: EVIDENCE FROM SELECTED ZIMBABWE STOCK EXCHANGE FIRMS","authors":"Kudakwashe Mavengere, Phathisani Gumede","doi":"10.17261/pressacademia.2024.1892","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1892","url":null,"abstract":"Purpose- The study aimed to assess the predictive competence of Zmijewski X score and Altman Z score in detecting financial distress in two manufacturing companies that are listed on the Zimbabwe Stock Exchange. The purpose of the study was to ascertain which of the two models is better at foretelling financial distress. The study's conclusions may aid in improving practitioners' and academics' comprehension of the relative benefits of each model and their ability to forecast financial trouble and bankruptcy.\u0000\u0000Methodology- The Altman Z score model was employed in the study as a yardstick measure to differentiate between the safe (Z >2.99), grey (1.81 < Z < 2.99), and distress (Z < 1.81) zones for manufacturing organisations. An entity would be classified as bankrupt (X >0) or non-bankrupt (X <0) based on the Zmijewski X score, which was also employed in the research. Two manufacturing businesses registered on the Zimbabwe Stock Exchange made up the sample size for this study, which was carried out between 2010 and 2017. The research was dependent on secondary data gleaned from the two companies' financial statements.\u0000\u0000Findings- Manufacturing firm 1's Z-score placed the firm in the distress zone in 2010 and the grey zone in the years 2011 to 2012. From 2010 until 2017, Manufacturing Company 2 experienced financial difficulties. The two manufacturing enterprises under investigation did not exhibit bankruptcy, according to the X-score statistics. According to the study's findings, the Z-score is a better indicator of financial difficulty in emerging nations than the X-score. The Altman Z score and Zmijewski X score models are both useful in predicting financial distress in firms. However, a limitation of these models is that they constitute different financial ratios (Z-score with 5 ratios and X-score 3 ratios) and interpretation. Despite this limitation, these models are still key in unearthing financial distress in firms.\u0000\u0000Conclusion- The study concludes that the Altman Z score is superior to the Zmijewski X score in predicting financial distress in developing countries. The Altman Z score model uses 5 financial ratios to predict whether a company has a high probability of becoming insolvent. The Zmijewski X score model uses 3 financial ratios to predict bankruptcy. The study’s findings are important for investors in protecting their investments as the model can help with informed decision making in terms of future prospects of the firm in terms of bankruptcy. There have been cases where an auditor provides an unqualified opinion of the financial statements of an entity only for the entity to be declared bankrupt after the release of the financial statements. Therefore, models such as the Altman Z score can aid in protecting investor loss as the tool can be used to determine bankruptcy, a key signal to divest from the company.","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"219 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141413241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TRACING THE MAGNITUDE OF PUBLICATION ON CORPORATE SOCIAL RESPONSIBILITY 2010-2023: A BIBLIOMETRICS ANALYSIS","authors":"Sarita Panchal, Pyla Naryan Rao","doi":"10.17261/pressacademia.2024.1890","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1890","url":null,"abstract":"Purpose- This study is designed to examine the bibliometrics analysis of existing studies with VOSviewer to provide a perspective to researchers who will work on corporate social responsibility. The objective of this study to investigates current trend in this area of research, what the related concepts are that affect CSR and to investigate the literature in this context. \u0000Methodology- The current research study was selected in the span of 2010 to 2023 and the total number of research papers published during this period was 235. \u0000Findings- The results of analysis determine that first study dealing with CSR theme was published in 1991. Afterwards, another study was published in 2003, 2006, 2008,2009,2010,2012,2013,11 studies were published in 2015 and 14 studies in 2016. After 2022 number of studies increased, 24 countries are represented in this research topic. It is observed that the prominent countries are China (29), Spain (23), United States (23), and Malaysia (19). In keyword analysis, the keywords that appeared most were Corporate social responsibility (total link strength 237) Financial performance (total link strength 166) Economic and social effect (total link strength 124).\u0000Conclusion- The study indicates that CSR has become a buzzword in the business world. Companies are not only expected to be profitable but also to be ethical and socially conscious. When a company integrates CSR into their business operation both social and financial target becomes easier and resulting in better financial performance.\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"33 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141279407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PERFORMANCE OF DIA AND FORWARD-LOOKING OPTIMAL PORTFOLIOS OF DOW STOCKS","authors":"Geungu Yu","doi":"10.17261/pressacademia.2024.1891","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1891","url":null,"abstract":"Purpose- This paper compares the performance of DIA, trailing optimal portfolio and forward-looking optimal portfolio constructed from a pool of DOW stocks, applying a modified contrarian portfolio construction to the forward-looking optimization. The modified contrarian optimization of this study is based on the premise that loser stocks, in the short run, would have reversal performance and become winner stocks in the short-run future. The investigative question is: Do forward-looking optimal portfolios of DOW stocks perform better than trailing optimal portfolios of DOW stocks in the short run after DJIA hit the year's lowest point in 2022?\u0000Methodology- To answer the investigative question, this study compares the short-run performance of forward-looking optimal portfolios with the performance of trailing optimal portfolios. Elton, Gruber, and Padberg (1987) originally introduced the optimal portfolio technique.\u0000Findings- The primary focus was on the case related to September 30, 2022, when DJIA hit the lowest level in 2022. To get the trend analysis of the cases of DJIA hitting the lowest level of the year, this study examined two comparable findings, having examined the performance properties of trailing vs. forward-looking optimal portfolios using the same method. One examined the case related to March 23, 2020, and another examined the case related to December 24, 2018. It finds a robust performance of DIA compared to the performance of two forms of optimal portfolios. It also finds that forward-looking optimal portfolios performed better than trailing optimal portfolios regarding the average performance of three cases.\u0000Conclusion- It concludes the potential usefulness of DIA as evidence of the market efficiency of DOW stocks. At the same time, forward-looking optimal portfolios for short-run investment in DOW stocks are a viable alternative to investing in the DIA. \u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"53 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EXAMINING THE NEXUS BETWEEN CORPORATE SOCIAL RESPONSIBILITY DISCLOSURE AND EARNINGS MANAGEMENT: EVIDENCE FROM THE STATE-OWNED ENTERPRISES OF BANGLADESH","authors":"Raihan Sobhan, Touhida Sharmin","doi":"10.17261/pressacademia.2024.1899","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1899","url":null,"abstract":"Purpose- The purpose of the study is to examine the association between corporate social responsibility (CSR) disclosure and the practice of earnings management in the listed state-owned enterprises (SOEs) of Bangladesh. \u0000Methodology- All the listed SOEs (17 firms) of Dhaka Stock Exchange (DSE) for the years 2017-2022 were considered in the study, resulting in observations of 102 firm-years. Content analysis was used to assess the level of CSR disclosure in the annual reports. For measuring earnings management, Beneish M-score model was used as the proxy variable. To investigate the association between CSR disclosure and earnings management, multivariate regression analysis was conducted using pooled OLS model, random effects model and lag model. \u0000Findings- The regression outcomes of the study found a positive and significant association between CSR disclosure and earnings management. This study shows how managers can use CSR disclosures as a competitive advantage by manipulating earnings while also fostering positive relationships with stakeholders. \u0000Conclusion- Investors and governments alike are increasingly demanding ethical business practices and full disclosure from corporations. The study concludes that managers' opportunistic behavior is a primary motivation for using CSRD to cover their tracks. This study will provide valuable insights to the policy-makers, regulators, investors and other stakeholders on how CSR reporting can be used as a medium to hide management’s manipulative practices and, why it is important to implement a more comprehensive guideline on CSR reporting and effective governance to eliminate such practices.\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"11 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BANK TECHNICAL EFFICIENCY OF COUNTRY GROUPS: A META-REGRESSION ANALYSIS","authors":"Neylan Kaya","doi":"10.17261/pressacademia.2024.1898","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1898","url":null,"abstract":"Purpose- This study endeavors to examine studies using Data Envelopment Analysis in calculating the banking sector efficiency across country groups and to determine the factors affecting their technical efficiency through meta-regression analysis. \u0000Methodology- As of November 22, 2023, relevant works were systematically reviewed using Web of Science, Scopus, and Google Scholar. The literature review employed a comprehensive search encompassing all files with the keywords such as ‘‘technical efficiency (All Field) AND bank (All Field)’’. The research process adhered to the PRISMA guidelines. This study reviewed all studies published between 1932 and 2023 identifying 64599 studies in the initial scan by the author. The author independently scrutinized the titles, abstracts, keywords, text, and references of all manuscripts to mitigate selection bias and reveal whether eligibility criteria were met. Exclusions from the scope encompassed duplicate downloads, papers, books and book chapters, together with studies having low quality scores, no full-text versions, and those that are irrelevant to the subject. \u0000Findings- The results of meta-regression analysis revealed that the data collection year of the studies and the income groups of the countries did not have an impact on the mean technical efficiency. The number of banks, number of observations, publication year, and number of countries were statistically significant on the mean technical efficiency estimate.\u0000Conclusion- The study further standardized variables and methodological assumptions used in bank sector efficiency studies within country groups through meta-regression analysis. Empirical findings in the literature were combined. This study enhances accessibility to the existing body of knowledge for researchers in the field\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE INFLUENCE OF SOCIAL MEDIA ON TANZANIAN HIGHER LEARNING STUDENTS PERFORMANCE","authors":"Dominic Nkolimwa","doi":"10.17261/pressacademia.2024.1885","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1885","url":null,"abstract":"Purpose- This study aimed to analyze the influence of social media on Tanzanian higher learning students’ performance. It specifically examined the influence of social media on students' academic performance.\u0000Methodology- The multiple regression analysis was used to analyze data collected from the Institute of Social Work where 94 questionnaires were involved in the field.\u0000Findings- Three hypotheses were tested and results demonstrated that the Benefit of Using Social Media and Academic Performance (BUSM) and the Effect of Using Social Media and Academic Performance (EUSM) have a positive influence on both dimensions of academic performance while Awareness of Time Wastage on Social Media (ATWSM) reviled that there is no relationship with students’ academic performance.\u0000Conclusion- Therefore, this article concludes that despite the significant influence of social media, students should make proper use of social media to improve academic performance.\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"70 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MAIN FACTORS AFFECTING THE FINANCIAL STRUCTURE OF ENTERPRISES","authors":"Mehmet Akif Demir","doi":"10.17261/pressacademia.2024.1887","DOIUrl":"https://doi.org/10.17261/pressacademia.2024.1887","url":null,"abstract":"Purpose- The purpose of this study is to reveal which main elements affect financial structures within the fields of activity of businesses and the rules they must comply with.\u0000Methodology- In order to carry out profitable and efficient activities in business life, complying with laws and regulations, ensuring safety, trust and motivation among employees, regulating employees' rights, wages and personal development have been tried to be revealed with economic information. The harmony of capital owners, managers and employees and the importance of experience and knowledge in making the company financially profitable are explained.\u0000Findings- Occupational health and safety have been determined as the order of the working environment, advanced technological infrastructure, support of communication and cooperation, allocation of meeting and rest areas, implementation of policies that make employees valuable, exchange of information in crises, elements based on experience and knowledge that shape and direct international business life. In addition, detection of errors, arrangements between departments, elimination of negativities due to the time effect, positive contribution of employees to business activities, efficient use of financial instruments and development and implementation of audit mechanisms were also found to be important.\u0000Conclusion- The problems created by the incompatibility between business life and managerial elements should be sought and solutions should be sought with new working models to eliminate these problems. It is clear that the financial structure of companies will improve, and they will become profitable with the cooperation between employees and managers.\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"37 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the relationship between bitcoin and altcoins","authors":"Esra Aksoylu","doi":"10.17261/pressacademia.2023.1864","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1864","url":null,"abstract":"Purpose- The purpose of this study is to examine the long and short-term relationship between Bitcoin and altcoins selected based on their market capitalization through an empirical analysis. For this purpose, the daily data of Bitcoin and nine altcoins consisting of Ether, Ripple, Tether, Litecoin, Monero, Stellar, Dash, Nem, Dogecoin for the period 07/08/2015-08/01/2020 were used.\u0000Methodology- The long-run relationship between Bitcoin and altcoins is first analyzed by Vector Autoregression (VAR) analysis. Granger causality test was utilized to determine the short-run causality relationship between the variables. The tests were conducted with the Eviews program.\u0000Findings- According to the results of the VAR analysis conducted to investigate the long-run relationship, there is a long-run relationship between Dogecoin, Dash, Litecoin, Nem, Stellar and Ripple and Bitcoin. After determining the long-run relationship between the variables, the relationships between the variables were analyzed with the help of impulse response functions. Impulse response function shows the effect of a one-unit shock to one variable on the other variable. Accordingly, when the results of impulse response functions are analyzed; it is seen that a one-unit random shock in Bitcoin has a negative effect on Ripple, Nem, Litecoin, Dash, Litecoin, Dogecoin in the first two periods, the effect decreases in the second period, and this effect disappears in the third period. A random shock to Bitcoin causes a positive effect on Stellar that lasts for two periods. This positive effect ends in the third period. After analyzing the relationship between Bitcoin and altcoins with impulse response functions, the source of the changes in the variance of the variables is analyzed through variance decomposition. According to the variance decomposition results, the effect of Bitcoin on Dogecoin is 25% in the first period and 22% in the other periods. The variance decomposition of Dash shows that approximately 18% of the change in standard deviation was caused by Bitcoin in the first period and this percentage increased to 25.5% in the following periods. Litecoin's variance decomposition results show that 33% of the change in standard deviation from the first period to the last period was caused by Bitcoin. It is observed that approximately 8% of the change in Nem's standard deviation in the first period was caused by Bitcoin, while this rate increased to 21.5% in the last period. From the first period to the last period, 13.5% of the change in Stellar's standard deviation was caused by Bitcoin. When the variance decomposition of Ripple is analyzed, it is observed that 10% of the difference in the standard deviation is due to Bitcoin. This situation continued similarly from the first period to the last period. Following the VAR analysis, Granger causality test was conducted to explain the short-term relationship between the variables. According to the test results, there is a bidirectional ","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"1046 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirircal investigation into y-the integration of cloud-based artificial intelligence in auditing","authors":"Yazan Abdelmajid Abu Huson, Laura Sierra‐García, M. García-Benau, N. Aljawarneh","doi":"10.17261/pressacademia.2023.1874","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1874","url":null,"abstract":"Purpose- The increasing prevalence of cloud computing and the rapid proliferation of artificial intelligence technologies have opened up novel prospects for enhancing auditing methodologies. This research aims to scrutinize the consequences of incorporating cloud-based artificial intelligence (CBAI) in auditing, focusing on its implications for audit clients, auditors, and the overall audit process.\u0000Methodology- A method of quantitative research was utilized in this study, where 322 questionnaires were distributed to external auditors in Jordan. The objective was to collect information on the potential enhancements brought about by cloud-based artificial intelligence in the auditing field. The study employed convenience random sampling, a technique involving the collection of data from readily available members of the population, which, in this context, refers to external audit offices in Jordan. Jordan has a total of 454 audit offices with a diverse range of auditors, including partner-owner auditors, assistant auditors, and certified auditors. The analysis of the gathered data was conducted using SmartPLS software, which employs structural equation modeling (SEM).\u0000Findings- The study's outcomes reveal the potential for cost savings associated with the adoption of CBAI, as well as the streamlining of audit procedures and the enhancement of overall efficiency. Moreover, the research observes the transformation of auditors' roles, with a shift towards a greater focus on analytical and advisory responsibilities, departing from traditional manual tasks. These findings underscore the potential advantages for audit clients, auditors, and the audit process, underscoring the significance of embracing these technologies to advance the auditing profession in the digital age.\u0000Conclusion- The study investigates how CBAI influences audit quality and efficiency through a thorough examination of data sourced from a sample of external auditors operating within the context of Jordan. Additionally, it delves into the significant advancements that CBAI can introduce to the auditing field, encompassing its potential for data storage and analysis, the improvement of communication between auditors and clients, the adoption of innovative audit techniques, and the shift from manual to digital auditing methodologies.\u0000\u0000Keywords: Cloud-based artificial intelligence, Auditing, Auditors, Cloud computing, Artificial Intelligence, Audit quality. \u0000JEL Codes: O30, O33, O35\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"78 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cryptocurrency interest in geographical regions with high unemployment rates","authors":"Elif Bezirgan","doi":"10.17261/pressacademia.2023.1844","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1844","url":null,"abstract":"Purpose- In regions with high unemployment rates, individuals often face economic uncertainty and may seek alternatives to traditional financial systems. In such circumstances, some individuals may turn to alternative investments and financial instruments, with cryptocurrencies such as Bitcoin being among them. The value of these cryptocurrencies is often volatile due to their speculative nature, which can lead investors to take on more significant risks. While this situation can result in substantial gains, it can also lead to significant financial losses.\u0000The primary use of cryptocurrencies is generally for investment purposes. Since cryptocurrencies are digital, they operate entirely in a virtual environment. The loss or theft of the digital password in the virtual space means the loss of the wallet. Security in cryptocurrencies is very weak. The lack of government guarantees and legal infrastructure globally poses certain threats to investors, making cryptocurrencies carry a higher risk compared to other investment instruments.\u0000This study will investigate the regional relationship between cryptocurrency interest and unemployment rates. The aim is to determine whether individuals living in geographical areas with high unemployment rates show more interest in cryptocurrencies compared to those in other geographical regions.\u0000Methodology- In line with the research objective, Google search engine data for the past 10 years has been analyzed using content analysis methodology. A query has been conducted to determine in which regions of Turkey cryptocurrency names are most frequently searched, and a comparison has been made on a provincial level across all 81 provinces. Additionally, considering the unemployment data provided by the Turkish Statistical Institute (TUIK), regions with high and low unemployment rates have been identified. Subsequently, an investigation has been carried out to determine whether there is any correlation between regional Google searches and unemployment rates in these areas.\u0000Findings- When examining the findings from the perspective of unemployment, it has been observed that the regions where cryptocurrency names are most frequently searched align with areas having the highest unemployment rates, while the least searched areas correspond to regions with lower unemployment rates. Among the 10 provinces with the highest unemployment rates, 8 of them are included in the list of 10 provinces with the highest Bitcoin search frequency. Similarly, 8 out of 10 provinces with the lowest employment rates are also listed among the 10 provinces with the highest Bitcoin search frequency. Furthermore, among the 10 provinces with the lowest per capita gross domestic product (GDP), 7 of them are included in the list of 10 provinces with the highest Bitcoin search frequency.\u0000Conclusion- As a result of the relationship analyses conducted in the research, it has been observed that in Turkey, regions with high unemployment rates, low employm","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"112 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}