Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1866
Dilek Teker, Suat Teker, Irmak Orman
Purpose- This study examines Türkiye's strategic importance and potential to serve as a pivotal regional hub for businesses. The study also investigates the various fields of businesses for being a potential hub. A review of common concerns that needs further developments are analysed. Methodology- The study utilizes an analytical literature survey and investigates the various business fields for becoming a regional hub. Findings- Turkiye is the 7th largest economy by GDP in Europe by IMF among 22 countries for the year 2022. Turkiye is ranked as the 1st in ease of setting and welcoming categories at Expat Explorer Index, and 7th in the world in the year 2019. More, Turkish international airports serve for 342 direct flights for 128 countries with Turkish Airlines and proximity to these markets with a total GDP of 46 trillion USD within 4 hours flight. Conclusion- Turkiye's unique geographical position bridges Europe and Asia providing a natural gateway between the East and the West. Proximity to major markets enhances its appeal as a strategic center for trade and commerce. Ongoing investments in infrastructure, including transportation networks and logistics facilities, are positioning Türkiye as a key hub for the efficient movement of goods and services. Modern ports, airports, and road networks facilitate seamless connectivity within the region. Türkiye's growing economy attracts foreign investments, fostering the development of financial services and encouraging multinational companies to establish regional headquarters Keywords: Regional hub, Istanbul Finance Center, strategic location, logistics hub, service hub. JEL Codes: F10, F18, M20
{"title":"Turkiye as a regional hub","authors":"Dilek Teker, Suat Teker, Irmak Orman","doi":"10.17261/pressacademia.2023.1866","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1866","url":null,"abstract":"Purpose- This study examines Türkiye's strategic importance and potential to serve as a pivotal regional hub for businesses. The study also investigates the various fields of businesses for being a potential hub. A review of common concerns that needs further developments are analysed.\u0000Methodology- The study utilizes an analytical literature survey and investigates the various business fields for becoming a regional hub.\u0000Findings- Turkiye is the 7th largest economy by GDP in Europe by IMF among 22 countries for the year 2022. Turkiye is ranked as the 1st in ease of setting and welcoming categories at Expat Explorer Index, and 7th in the world in the year 2019. More, Turkish international airports serve for 342 direct flights for 128 countries with Turkish Airlines and proximity to these markets with a total GDP of 46 trillion USD within 4 hours flight.\u0000Conclusion- Turkiye's unique geographical position bridges Europe and Asia providing a natural gateway between the East and the West. Proximity to major markets enhances its appeal as a strategic center for trade and commerce. Ongoing investments in infrastructure, including transportation networks and logistics facilities, are positioning Türkiye as a key hub for the efficient movement of goods and services. Modern ports, airports, and road networks facilitate seamless connectivity within the region. Türkiye's growing economy attracts foreign investments, fostering the development of financial services and encouraging multinational companies to establish regional headquarters\u0000\u0000Keywords: Regional hub, Istanbul Finance Center, strategic location, logistics hub, service hub.\u0000JEL Codes: F10, F18, M20\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"85 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896895","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1879
Askim Nurdan Tumbek Tekeoglu, R. A. Kucukcolak, N. I. Kucukcolak
Purpose- The purpose of this article is to explore and analyze the transformative impact of crowdfunding, with a specific focus on the reward-based Fongogo crowdfunding platform in Turkey. The study aims to understand how crowdfunding disrupts traditional financing models, fosters collaboration and innovation, and contributes to financial inclusion for small businesses and startups. Additionally, the purpose involves comparing the project results of Fongogo with international examples to provide insights into Turkey's crowdfunding landscape. Methodology- The study employs a case study approach, focusing on the reward-based crowdfunding platform Fongogo. Data is collected and analyzed from the Fongogo platform in Turkey to gain insights into supporter dynamics, project success, and regional influences. Comparative analysis is conducted by comparing Fongogo's results with international crowdfunding examples. Additionally, literature on crowdfunding is reviewed to identify key success factors, such as project presentation, category, funding type, location, and team size Findings- The findings of the study reveal the diverse models and advantages of crowdfunding, emphasizing its transformative potential in the financial sector. Insights from Fongogo data shed light on supporter dynamics, the impact of project location, and the influence of technological literacy on crowdfunding success in Turkey. The comparative analysis with international examples provides a broader perspective on crowdfunding success factors, highlighting areas where Turkey's crowdfunding potential can be enhanced. Conclusion- In conclusion, the study advocates for the strategic positioning of crowdfunding as a vital financial tool in Turkey. The findings underscore the importance of user-friendly platforms, transparent operations, and effective communication by project owners. The impact of the new Crowdfunding Regulation in Turkey is discussed, acknowledging the need for further assessment as its implementation progresses. The study encourages leveraging the lessons learned from successful projects, both locally and internationally, to guide new initiatives and strengthen Turkey's crowdfunding ecosystem. Ultimately, the article aims to contribute insights to researchers, policymakers, and practitioners interested in the dynamic landscape of crowdfunding in Turkey and beyond. Keywords: Financial inclusion, reward-based crowdfunding, financial innovation, digital platforms JEL Codes: G23, L26, M13, O16, O35
{"title":"Innovative transformation in finance: global and Turkish perspectives on crowdfunding","authors":"Askim Nurdan Tumbek Tekeoglu, R. A. Kucukcolak, N. I. Kucukcolak","doi":"10.17261/pressacademia.2023.1879","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1879","url":null,"abstract":"Purpose- The purpose of this article is to explore and analyze the transformative impact of crowdfunding, with a specific focus on the reward-based Fongogo crowdfunding platform in Turkey. The study aims to understand how crowdfunding disrupts traditional financing models, fosters collaboration and innovation, and contributes to financial inclusion for small businesses and startups. Additionally, the purpose involves comparing the project results of Fongogo with international examples to provide insights into Turkey's crowdfunding landscape. \u0000Methodology- The study employs a case study approach, focusing on the reward-based crowdfunding platform Fongogo. Data is collected and analyzed from the Fongogo platform in Turkey to gain insights into supporter dynamics, project success, and regional influences. Comparative analysis is conducted by comparing Fongogo's results with international crowdfunding examples. Additionally, literature on crowdfunding is reviewed to identify key success factors, such as project presentation, category, funding type, location, and team size\u0000Findings- The findings of the study reveal the diverse models and advantages of crowdfunding, emphasizing its transformative potential in the financial sector. Insights from Fongogo data shed light on supporter dynamics, the impact of project location, and the influence of technological literacy on crowdfunding success in Turkey. The comparative analysis with international examples provides a broader perspective on crowdfunding success factors, highlighting areas where Turkey's crowdfunding potential can be enhanced.\u0000Conclusion- In conclusion, the study advocates for the strategic positioning of crowdfunding as a vital financial tool in Turkey. The findings underscore the importance of user-friendly platforms, transparent operations, and effective communication by project owners. The impact of the new Crowdfunding Regulation in Turkey is discussed, acknowledging the need for further assessment as its implementation progresses. The study encourages leveraging the lessons learned from successful projects, both locally and internationally, to guide new initiatives and strengthen Turkey's crowdfunding ecosystem. Ultimately, the article aims to contribute insights to researchers, policymakers, and practitioners interested in the dynamic landscape of crowdfunding in Turkey and beyond.\u0000\u0000Keywords: Financial inclusion, reward-based crowdfunding, financial innovation, digital platforms \u0000JEL Codes: G23, L26, M13, O16, O35\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"18 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893850","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1856
Ruba Dirani, Mohammad Khataibeh, Ghassan Omet
Purpose- This paper analyzes the determinants of the annual changes in conventional banks’ credit in Jordan and Palestine. In addition, the paper examines whether the differences in the determinants of bank credit in both economies are due to country or bank-specific factors. As one might expect, the argument behind this paper rests on the fact that the Israeli occupation of Palestine makes the political and economic environments of the two countries very different. Methodology- A panel of data of all thirteen (13) Jordanian conventional banks and 12 Palestinian conventional banks are used in the econometric analyses (2010 – 2021). For each set of banks, the annual percentage changes in credit are regresed on the percentage annual change in bank deposits, equity is equity capital, bank size, and bank income diversification level. Following this exercise, the differences in of both sets of coefficients are examined using the F-test. If different, one can argue that the difference can be due to the differential effects of either bank-level differences or country-level differences. To examine this issue, we re-estimate tha main model by controlling for the presence of fixed effects in the bank credit relationship and re-estimate the F-test. If the F test is significant, this implies that the differences in the magnitude of the relationshisp are due to country factors and not to bank-specific factors. Findings- Based on the estimated results, several interesting observations are noted. First, there are differences in the determinants of the annual change in bank credit between banks in Jordan and in Palestinian in terms of the signs of the independent variables and their values. Second, the significant differences in the determinants of the annual change in bank credit between banks in Jordan and in Palestinian are due to country-specific factors and not the bank-specific factors. Finally, given the differences in the political and economic environments in which banks in Jordan and Palestine operate, one should not be surprised of the main finding of this thesis. Conclusion- It would be informative to examine the performance of both sets of banks in terms of other issue including the determinants of cost of intermediation, stability, bank discipline, and bank competition. Keywords: Jordan, Palestine, banks, credit growth, equity capital, seemingly-unrelated regression. JEL Codes: G20, G21, G24
本文分析了约旦和巴勒斯坦常规银行信贷年度变化的决定因素。此外,本文还研究了这两个经济体银行信贷决定因素的差异是由国家因素还是银行特有因素造成的。正如人们所预料的那样,本文的论点是基于以色列对巴勒斯坦的占领使得两国的政治和经济环境大不相同这一事实。对于每一组银行,信贷的年度百分比变化与银行存款的年度百分比变化、股本、银行规模和银行收入多样化水平进行回归。之后,使用 F 检验法检验两组系数的差异。如果存在差异,则可以认为差异可能是由于银行层面的差异或国家层面的差异造成的。为了检验这个问题,我们通过控制银行信贷关系中固定效应的存在来重新估计主模型,并重新进行 F 检验。如果 F 检验是显著的,这就意味着这种关系大小的差异是由国家因素而非银行特定因素造成的。首先,约旦银行和巴勒斯坦银行的银行信贷年度变化的决定因素在自变量的符号和数值方面存在差异。其次,约旦银行和巴勒斯坦银行在银行信贷年度变化决定因素上的显著差异是由特定国家因素而非特定银行因素造成的。最后,鉴于约旦和巴勒斯坦银行所处的政治和经济环境不同,我们不应对本论文的主要结论感到惊讶。结论--从其他问题(包括中介成本的决定因素、稳定性、银行纪律和银行竞争)的角度来研究这两组银行的表现将会很有启发:约旦、巴勒斯坦、银行、信贷增长、股权资本、似非相关回归:G20, G21, G24
{"title":"Determinants of bank credit in Jordan and Palestine: a comparative analysis","authors":"Ruba Dirani, Mohammad Khataibeh, Ghassan Omet","doi":"10.17261/pressacademia.2023.1856","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1856","url":null,"abstract":"Purpose- This paper analyzes the determinants of the annual changes in conventional banks’ credit in Jordan and Palestine. In addition, the paper examines whether the differences in the determinants of bank credit in both economies are due to country or bank-specific factors. As one might expect, the argument behind this paper rests on the fact that the Israeli occupation of Palestine makes the political and economic environments of the two countries very different.\u0000Methodology- A panel of data of all thirteen (13) Jordanian conventional banks and 12 Palestinian conventional banks are used in the econometric analyses (2010 – 2021). For each set of banks, the annual percentage changes in credit are regresed on the percentage annual change in bank deposits, equity is equity capital, bank size, and bank income diversification level. Following this exercise, the differences in of both sets of coefficients are examined using the F-test. If different, one can argue that the difference can be due to the differential effects of either bank-level differences or country-level differences. To examine this issue, we re-estimate tha main model by controlling for the presence of fixed effects in the bank credit relationship and re-estimate the F-test. If the F test is significant, this implies that the differences in the magnitude of the relationshisp are due to country factors and not to bank-specific factors.\u0000Findings- Based on the estimated results, several interesting observations are noted. First, there are differences in the determinants of the annual change in bank credit between banks in Jordan and in Palestinian in terms of the signs of the independent variables and their values. Second, the significant differences in the determinants of the annual change in bank credit between banks in Jordan and in Palestinian are due to country-specific factors and not the bank-specific factors. Finally, given the differences in the political and economic environments in which banks in Jordan and Palestine operate, one should not be surprised of the main finding of this thesis.\u0000Conclusion- It would be informative to examine the performance of both sets of banks in terms of other issue including the determinants of cost of intermediation, stability, bank discipline, and bank competition.\u0000\u0000Keywords: Jordan, Palestine, banks, credit growth, equity capital, seemingly-unrelated regression.\u0000JEL Codes: G20, G21, G24\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"246 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894162","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1857
Suat Teker, Dilek Teker, Esin Demirel Gumustepe
Purpose- Exchange rate is the value of a country's national currency against foreign national currencies. In this context, the exchange rate is considered an important macroeconomic indicator in evaluating the country's economy. The failure to control the exchange rate may damage economy significantly. It is possible to understand this from the 2001 crisis in Turkey, known as 'Black Wednesday', and the foreign exchange crisis that started in Thailand in 1997 and affected many East Asian countries. Interest rate is one of the critical determinants affecting the exchange rates. Therefore, changes in interest rates are expected to affect the level of exchange rates. When there is an increase in interest rates, foreign capital flow is expected for that particular country. Hence, a decrease in exchange rates is expected for the excess capital flows. This study aims to analyze the relationship between exchange rates and interest rates, considering the last 10 announcements of the interest policy of the Central Bank of the Republic of Turkiye. These announcements are between January 19, 2023 and October 26, 2023. The study used the TL/USD exchange rates and 10-year government bond interest rates to measure the relationship in between these two variables. Methodology-The aim of this study is to analyze the relationship between the dollar exchange rate and government bond interest rates for Turkiye. For this purpose, data is collected for the days when the last 10 policy rates published by the CBRT were announced. Data is obtained investing.com. Vector Autoregression (VAR) is used to measure the relationship in between two variables. The VAR system is based on empirical regularities embedded in the data. The VAR model may be viewed as a system of reduced form equations in which each of the endogenous variables is regressed on its own lagged values and the lagged values of all other variables in the system. Vector Autoregressive models are widely used in time series research to examine the dynamic relationships exist in between variables that interact with one another. In addition, VAR models are viable forecasting tools used often by macroeconomic or policy-making institutions. . In this study first, the stationary levels of the variables are determined by using Unit Root Test. Second, pre-tests of autocorrelation, heteroscedasticity and normality are conducted for the validity of the VAR model. Third, the short-term relationship between variables is tested by using VAR Granger Causality Test. Fourth, VAR analysis is utilized by applying Impulse-Response Analysis and Variance Decomposition Analysis . And finally, the long-term relationship between variables is tested by using Johansen Cointegration Test. Vector Autoregressionmodel is employed in this study. Findings- According to the results of Granger Causality test, government bond interest rates strongly affect the changes of exchange rate. However, there is no causality from exhange rates to interest
{"title":"The effects of policy rate announcements on the exchange rates","authors":"Suat Teker, Dilek Teker, Esin Demirel Gumustepe","doi":"10.17261/pressacademia.2023.1857","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1857","url":null,"abstract":"Purpose- Exchange rate is the value of a country's national currency against foreign national currencies. In this context, the exchange rate is considered an important macroeconomic indicator in evaluating the country's economy. The failure to control the exchange rate may damage economy significantly. It is possible to understand this from the 2001 crisis in Turkey, known as 'Black Wednesday', and the foreign exchange crisis that started in Thailand in 1997 and affected many East Asian countries. Interest rate is one of the critical determinants affecting the exchange rates. Therefore, changes in interest rates are expected to affect the level of exchange rates. When there is an increase in interest rates, foreign capital flow is expected for that particular country. Hence, a decrease in exchange rates is expected for the excess capital flows. This study aims to analyze the relationship between exchange rates and interest rates, considering the last 10 announcements of the interest policy of the Central Bank of the Republic of Turkiye. These announcements are between January 19, 2023 and October 26, 2023. The study used the TL/USD exchange rates and 10-year government bond interest rates to measure the relationship in between these two variables.\u0000Methodology-The aim of this study is to analyze the relationship between the dollar exchange rate and government bond interest rates for Turkiye. For this purpose, data is collected for the days when the last 10 policy rates published by the CBRT were announced. Data is obtained investing.com. Vector Autoregression (VAR) is used to measure the relationship in between two variables. The VAR system is based on empirical regularities embedded in the data. The VAR model may be viewed as a system of reduced form equations in which each of the endogenous variables is regressed on its own lagged values and the lagged values of all other variables in the system. Vector Autoregressive models are widely used in time series research to examine the dynamic relationships exist in between variables that interact with one another. In addition, VAR models are viable forecasting tools used often by macroeconomic or policy-making institutions. . In this study first, the stationary levels of the variables are determined by using Unit Root Test. Second, pre-tests of autocorrelation, heteroscedasticity and normality are conducted for the validity of the VAR model. Third, the short-term relationship between variables is tested by using VAR Granger Causality Test. Fourth, VAR analysis is utilized by applying Impulse-Response Analysis and Variance Decomposition Analysis . And finally, the long-term relationship between variables is tested by using Johansen Cointegration Test. Vector Autoregressionmodel is employed in this study.\u0000Findings- According to the results of Granger Causality test, government bond interest rates strongly affect the changes of exchange rate. However, there is no causality from exhange rates to interest ","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"89 1-3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897023","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}
Purpose- Central banks serve as institutions responsible for executing monetary policy in countries, with the primary objective of managing the money supply and ensuring price stability in the economy. These institutions formulate and implement monetary policies, controlling interest rates, maintaining price stability, managing exchange rates, and overseeing the banking sector. Through the use of both traditional and modern tools, such as policy interest rates, reserve requirements, rediscount policies, and open market operations, central banks aim to uphold stability in the economy and financial system. The economic literature extensively explores the theoretical and empirical effects of central banks' expansive and contractionary policies on inflation. This study specifically investigates the practices of selected country central banks regarding monetary policy, with a focus on understanding the relationship between money supply and inflation. The objective is to unveil the impacts of these policies on countries' macroeconomic variables and identify determinants influencing the selection of effective policies and tools in central banks' pursuit of price stability-oriented monetary policy practices. Methodology- One of the tools central banks employ to intervene in the market is the manipulation of the money supply, influencing macroeconomic variables through expansive and contractionary policies. This study analyzes the impact of central banks' monetary policies using PanelVAR analysis for the period 2005–2022. The initial model features inflation as the dependent variable, while independent variables include money supply, policy interest rates, growth, current account deficit, budget deficit, and unemployment. These variables are modeled as annual percentage changes, with the money supply variable included as a level value after logarithmic transformation. Subsequent models are constructed with each independent variable as the dependent variable, adhering to the assumptions of VAR models. To address the stationarity condition of unit roots, cross-sectional dependencies in panel data series are tested. Following the identification of cross-sectional dependency issues, second-generation unit root tests are applied. After stationary analyses, VAR analysis is conducted, cointegration vectors are identified, and error correction models are established for further analysis. Finally, impact response analysis determines the size of the effects of the macroeconomic variables used in the analysis, and Granger causality analysis is applied to ascertain the direction of causality. Findings- In the model for controlling the money supply, the alternative hypothesis is accepted, supporting a statistically significant relationship or a cause-and-effect relationship among policy interest rate, growth, inflation, unemployment rate, current account deficit, and budget deficit variables. In the analysis where inflation is the dependent variable, long-term cointeg
{"title":"The relationship between money supply and inflation: analysis with PANELVAR approach","authors":"Esengul Ozdemir Altinisik, Basak Taninmis Yucememis","doi":"10.17261/pressacademia.2023.1855","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1855","url":null,"abstract":"Purpose- Central banks serve as institutions responsible for executing monetary policy in countries, with the primary objective of managing the money supply and ensuring price stability in the economy. These institutions formulate and implement monetary policies, controlling interest rates, maintaining price stability, managing exchange rates, and overseeing the banking sector. Through the use of both traditional and modern tools, such as policy interest rates, reserve requirements, rediscount policies, and open market operations, central banks aim to uphold stability in the economy and financial system. The economic literature extensively explores the theoretical and empirical effects of central banks' expansive and contractionary policies on inflation. This study specifically investigates the practices of selected country central banks regarding monetary policy, with a focus on understanding the relationship between money supply and inflation. The objective is to unveil the impacts of these policies on countries' macroeconomic variables and identify determinants influencing the selection of effective policies and tools in central banks' pursuit of price stability-oriented monetary policy practices.\u0000Methodology- One of the tools central banks employ to intervene in the market is the manipulation of the money supply, influencing macroeconomic variables through expansive and contractionary policies. This study analyzes the impact of central banks' monetary policies using PanelVAR analysis for the period 2005–2022. The initial model features inflation as the dependent variable, while independent variables include money supply, policy interest rates, growth, current account deficit, budget deficit, and unemployment. These variables are modeled as annual percentage changes, with the money supply variable included as a level value after logarithmic transformation. Subsequent models are constructed with each independent variable as the dependent variable, adhering to the assumptions of VAR models. To address the stationarity condition of unit roots, cross-sectional dependencies in panel data series are tested. Following the identification of cross-sectional dependency issues, second-generation unit root tests are applied. After stationary analyses, VAR analysis is conducted, cointegration vectors are identified, and error correction models are established for further analysis. Finally, impact response analysis determines the size of the effects of the macroeconomic variables used in the analysis, and Granger causality analysis is applied to ascertain the direction of causality.\u0000Findings- In the model for controlling the money supply, the alternative hypothesis is accepted, supporting a statistically significant relationship or a cause-and-effect relationship among policy interest rate, growth, inflation, unemployment rate, current account deficit, and budget deficit variables. In the analysis where inflation is the dependent variable, long-term cointeg","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897256","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1873
Yunis Dede, Sadettin Haluk Çitçi, H. Yanıkkaya
Purpose- How individuals make saving/investment decisions and they are subject to learning processes are important questions in economics. Behavioral economics and finance literature tell us that individuals can deviate from bayesian decisions and the personal experiences can be effective in decision making. “Reinforcement learning” provides a framework for individual investors who are weighing on strategies successful and avoid strategies unsuccessful in which they experience. In this study, we investigate the effect of past experiences on individuals' retirement savings/investment decisions and whether individual investors are reinforcement learner. For this purpose, we examine individual contracts in the annual micro panel dataset obtained from the Pension Monitoring Center in Individual Pension System in Turkey. Methodology- Essentially, we assume that individuals' retirement saving/investment decisions are influenced by returns and variances (represents the risk level) of their avaliable portfolio as well as their time horizon, spending habits, retirement goals, risk tolerance and demographic characteristics. In this context, we estimate a linear model by including returns and variances in order to investigate how much sensitive individual investors are to returns and variances of their portfolio. Moreover, we add lagged returns and variances to our econometric setup to examine whether they are reinforcement learner. After that, we conduct a before-after analysis by looking at the dataset from 3-year window to analyze the impact of the 2013 state subsidy reform on reinforcement learning of individual investors. Findings- Similar to individuals' age, gender and education level, portfolio returns and variances also have a statistically significant effect on the contributions paid. Increases in portfolio returns affect the contributions paid positively, while increases in portfolio variance affect it negatively. As an indicator of reinforcement learning, respectively, lagged returns and variances have a significant positive and negative effect like the same year returns and variances of individual investors. According to this result, individual investors weigh on successful strategies and avoid unsuccessful strategies they have experienced. Increases in variances and lagged variances of individuals' portfolios have a larger negative effect compared to returns. Additionally, looking at the 3-year window, we report that the reinforcement learning of individual investors has strengthened after the 2013 state subsidy reform. Conclusion- We show that individual investors in IPS in Turkey exhibit reinforcement learning when making retirement savings/investment decisions. High return or low variance obtained in previous periods causes individuals to pay more contributions paid in the next period. This result reveals that individuals benefit from their past experiences when making logical and optimized decisions based on their avaliable knowledge and e
{"title":"Reinforcement learning in individual pension system: the case of Turkey","authors":"Yunis Dede, Sadettin Haluk Çitçi, H. Yanıkkaya","doi":"10.17261/pressacademia.2023.1873","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1873","url":null,"abstract":"Purpose- How individuals make saving/investment decisions and they are subject to learning processes are important questions in economics. Behavioral economics and finance literature tell us that individuals can deviate from bayesian decisions and the personal experiences can be effective in decision making. “Reinforcement learning” provides a framework for individual investors who are weighing on strategies successful and avoid strategies unsuccessful in which they experience. In this study, we investigate the effect of past experiences on individuals' retirement savings/investment decisions and whether individual investors are reinforcement learner. For this purpose, we examine individual contracts in the annual micro panel dataset obtained from the Pension Monitoring Center in Individual Pension System in Turkey.\u0000Methodology- Essentially, we assume that individuals' retirement saving/investment decisions are influenced by returns and variances (represents the risk level) of their avaliable portfolio as well as their time horizon, spending habits, retirement goals, risk tolerance and demographic characteristics. In this context, we estimate a linear model by including returns and variances in order to investigate how much sensitive individual investors are to returns and variances of their portfolio. Moreover, we add lagged returns and variances to our econometric setup to examine whether they are reinforcement learner. After that, we conduct a before-after analysis by looking at the dataset from 3-year window to analyze the impact of the 2013 state subsidy reform on reinforcement learning of individual investors.\u0000Findings- Similar to individuals' age, gender and education level, portfolio returns and variances also have a statistically significant effect on the contributions paid. Increases in portfolio returns affect the contributions paid positively, while increases in portfolio variance affect it negatively. As an indicator of reinforcement learning, respectively, lagged returns and variances have a significant positive and negative effect like the same year returns and variances of individual investors. According to this result, individual investors weigh on successful strategies and avoid unsuccessful strategies they have experienced. Increases in variances and lagged variances of individuals' portfolios have a larger negative effect compared to returns. Additionally, looking at the 3-year window, we report that the reinforcement learning of individual investors has strengthened after the 2013 state subsidy reform.\u0000Conclusion- We show that individual investors in IPS in Turkey exhibit reinforcement learning when making retirement savings/investment decisions. High return or low variance obtained in previous periods causes individuals to pay more contributions paid in the next period. This result reveals that individuals benefit from their past experiences when making logical and optimized decisions based on their avaliable knowledge and e","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"20 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897582","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1843
Zekeriya Bildik, K. Tokmakçıoğlu
Purpose - This article aims to establish a correlation between the valuation potential of companies listed on the Borsa Istanbul 30 index and their enduring competitive advantage, focusing on microeconomic Key Performance Indicators (KPIs) and corporate governance dimensions. Methodology - The study conducted an extensive analysis of the financial statements of BIST 30 companies spanning three years. Employing a unique approach utilizing Triangular Spherical Fuzzy Sets, it assessed the significance of these KPIs and corporate dimensions, chosen for their capacity to handle imprecise data. Three experts were consulted over three years to assign importance scores to each indicator, which were then used to calculate cumulative scores for individual stocks. Findings - The application of the Triangular Spherical Fuzzy Sets method provided a comprehensive understanding of these indicators, ena-bling a nuanced evaluation of the cumulative score for each stock. Notably, a clear distinction emerged between service and manufacturing companies, suggesting a potential glass ceiling effect that favors production-oriented enterprises. The observed patterns in certain stocks aligned with the framework developed in this study. Conclusion - This study illustrates the use of fuzzy logic in evaluating stock valuation potential, revealing insights into their sustained growth prospects. Aligned with Warren Buffett's value investing principles, it advances modeling approaches within the Turkish public stock exchange. Offering a unique perspective on BIST 30 stocks' long-term valuation potential, it provides valuable insights for investors, stakeholders, and analysts in the dynamic finance landscape. Emphasizing the understanding of companies' enduring competitive strength in an evolving market is pivotal. Keywords: Value investing, triangular spherical fuzzy sets, long term competitive advantage, corporate governance.
{"title":"Tapping into long term value: a comprehensive overview of BIST 30 index companies future potential","authors":"Zekeriya Bildik, K. Tokmakçıoğlu","doi":"10.17261/pressacademia.2023.1843","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1843","url":null,"abstract":"Purpose - This article aims to establish a correlation between the valuation potential of companies listed on the Borsa Istanbul 30 index and their enduring competitive advantage, focusing on microeconomic Key Performance Indicators (KPIs) and corporate governance dimensions.\u0000Methodology - The study conducted an extensive analysis of the financial statements of BIST 30 companies spanning three years. Employing a unique approach utilizing Triangular Spherical Fuzzy Sets, it assessed the significance of these KPIs and corporate dimensions, chosen for their capacity to handle imprecise data. Three experts were consulted over three years to assign importance scores to each indicator, which were then used to calculate cumulative scores for individual stocks.\u0000Findings - The application of the Triangular Spherical Fuzzy Sets method provided a comprehensive understanding of these indicators, ena-bling a nuanced evaluation of the cumulative score for each stock. Notably, a clear distinction emerged between service and manufacturing companies, suggesting a potential glass ceiling effect that favors production-oriented enterprises. The observed patterns in certain stocks aligned with the framework developed in this study.\u0000Conclusion - This study illustrates the use of fuzzy logic in evaluating stock valuation potential, revealing insights into their sustained growth prospects. Aligned with Warren Buffett's value investing principles, it advances modeling approaches within the Turkish public stock exchange. Offering a unique perspective on BIST 30 stocks' long-term valuation potential, it provides valuable insights for investors, stakeholders, and analysts in the dynamic finance landscape. Emphasizing the understanding of companies' enduring competitive strength in an evolving market is pivotal.\u0000\u0000Keywords: Value investing, triangular spherical fuzzy sets, long term competitive advantage, corporate governance.\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"32 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897613","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1877
E. Kılıç, Sitki Sonmezer
Purpose- This study aims to investigate the relationship between monetary interest rate decisions, liquidity mechanisms and risk management issues. As a core interest the significance of a structural change in the data around the FOMC meetings is analyzed. By the help of continuous time models we analyze the kind of dynamics, which can be observed in the stock returns, i.e. conditional volatilities and jumps. A further central interest is given to investment decisions and risk management issues. This encompasses the elaboration of the hedging strategies to achieve higher performance. Methodology- The study employs GARCH-Ito and GARCH-Ito-Jump models to analyze the stock market returns and their related volatilities on the day of a FED interest decision announcement. The continuous time GARCH model setting allows to model stock market returns with a high flexibility, therefore these models are abled to capture jump dynamics in the stock returns. Findings- The analysis reveals that persistence in conditional volatilities change according to alternative stocks. These stocks can be classified according to alternative market capitalization sizes. Mega market capitalization stocks are better governed by no jump GARCH-Ito models regardless the monetary policy changes, that is, changes in interest rates or not. Conclusion- Based upon the analysis, it may be concluded that risk management applications effectively might perform under the consideration of stock types in terms of market sizes. The persistence in the conditional volatility massively decreases if a jump component is introduced into the model. Since most of the mega market cap stocks perform better without a jump part component, it might be conjectured that persistence in the conditional volatility for mega cap stocks play a more important role compared to large cap stocks. Regardless the case whether there is an interest rate change or not, the persistence in conditional volatility remains in mega cap stocks, and thus, these stocks are prone to the involvement of prices jumps. Keywords: Monetary policy, risk management, jump detection, investment decisions JEL Codes: C22, E49, G11
{"title":"Monetary momentum and risk management in stock market","authors":"E. Kılıç, Sitki Sonmezer","doi":"10.17261/pressacademia.2023.1877","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1877","url":null,"abstract":"Purpose- This study aims to investigate the relationship between monetary interest rate decisions, liquidity mechanisms and risk management issues. As a core interest the significance of a structural change in the data around the FOMC meetings is analyzed. By the help of continuous time models we analyze the kind of dynamics, which can be observed in the stock returns, i.e. conditional volatilities and jumps. A further central interest is given to investment decisions and risk management issues. This encompasses the elaboration of the hedging strategies to achieve higher performance.\u0000Methodology- The study employs GARCH-Ito and GARCH-Ito-Jump models to analyze the stock market returns and their related volatilities on the day of a FED interest decision announcement. The continuous time GARCH model setting allows to model stock market returns with a high flexibility, therefore these models are abled to capture jump dynamics in the stock returns. \u0000Findings- The analysis reveals that persistence in conditional volatilities change according to alternative stocks. These stocks can be classified according to alternative market capitalization sizes. Mega market capitalization stocks are better governed by no jump GARCH-Ito models regardless the monetary policy changes, that is, changes in interest rates or not.\u0000Conclusion- Based upon the analysis, it may be concluded that risk management applications effectively might perform under the consideration of stock types in terms of market sizes. The persistence in the conditional volatility massively decreases if a jump component is introduced into the model. Since most of the mega market cap stocks perform better without a jump part component, it might be conjectured that persistence in the conditional volatility for mega cap stocks play a more important role compared to large cap stocks. Regardless the case whether there is an interest rate change or not, the persistence in conditional volatility remains in mega cap stocks, and thus, these stocks are prone to the involvement of prices jumps. \u0000\u0000Keywords: Monetary policy, risk management, jump detection, investment decisions\u0000JEL Codes: C22, E49, G11\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"272 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894073","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1853
Carmelo Intrisano, Anna Maria Calce, Elisa Cafolla, Michele Lentini
Purpose- The purpose of this study is to explore the relationship between innovation and financial performance in the context of European listed companies. Starting from the initial thesis of Schumpeter, this topic attracts the interest of academics and managers because innovation is included among the factors capable of influencing the value, profitability and competitive advantage of companies. The empirical evidence in this regard appears divergent: the existing literature shows positive or negative impacts or indicates the absence of a relationship between innovation (summarised in research and development expenditure) and financial performance. Methodology- The study employs correlation analysis in order to figure out the existence of a link between innovation and financial performance. In accordance with the literature review, we use R&D expenses divided by sales as proxy of innovation and return on equity (ROE), return on capital employed (ROCE), EBITDA margin and profit margin as measures of financial performance. Data are obtained form the Amadeus Bureau van Dijk database and refers to the year 2020. Given the need to consider companies for which all the quantities mentioned are available for 2020, the final sample is made up of n. 224 European listed companies. Findings- Pearson's correlation coefficient with EBITDA margin is 0.027, with ROA is 0.016, with Net profit margin is 0.034 and with ROE is 0.025, highlighting a weak positive relationship between the independent variable and each dependent variables (that means the R&D activities will increase the profitability of firms on the same financial year). However the p-value, higher than the α=0.05 threshold, makes the correlation coefficient not statistically significant. The analysis reveals that innovation, measured by the ratio R&D espenses to sales, does not show any correlation with financial performance instantly, that is on the same financial year. Our results are consistent with the branch of studies according to which R&D activity has no effects on company performance. Conclusion- The analysis conducted does not prove the existence of a significant relationship between innovation and financial performance. A possible explanation can be found in the circumstance whereby the effect of research and development activities, as well as for all intangible assets, on the performance of companies is mainly observable in the medium-long term (what is known in the literature as the “lagged effect” of intangible assets on performance); therefore limiting the analysis to just one year does not allow us to fully grasp the impact itself. The conclusion reached is not to be understood in an absolute sense since innovation can also be measured by other indicators other than research and development expenses, such as the use of ICT, graduate employees, etc. Hence the possibility of further research developments and points of reflection considering the impact of R&D on the firm’s long-run per
目的--本研究的目的是以欧洲上市公司为背景,探讨创新与财务业绩之间的关系。从熊彼特(Schumpeter)的最初论述开始,这个话题就吸引了学术界和管理者的兴趣,因为创新是能够影响公司价值、盈利能力和竞争优势的因素之一。这方面的实证证据似乎存在分歧:现有文献显示创新(概括为研发支出)与财务业绩之间存在或正或负的影响,或表明两者之间不存在关系。研究方法--本研究采用相关性分析,以找出创新与财务业绩之间存在的联系。根据文献综述,我们用研发支出除以销售额来代表创新,用股本回报率(ROE)、资本回报率(ROCE)、息税折旧摊销前利润率和利润率来衡量财务业绩。数据来源于 Amadeus Bureau van Dijk 数据库,时间为 2020 年。研究结果--与息税折旧摊销前利润率的皮尔逊相关系数为 0.027,与投资回报率的皮尔逊相关系数为 0.016,与净利润率的皮尔逊相关系数为 0.034,与投资回报率的皮尔逊相关系数为 0.025,这表明自变量与各因变量之间存在微弱的正相关关系(即研发活动会提高企业在同一财政年度的盈利能力)。然而,P 值高于 α=0.05 临界值,使得相关系数在统计上并不显著。分析表明,以研发投入与销售额之比衡量的创新与同一财政年度的财务业绩没有任何即时相关性。我们的研究结果与研发活动对公司业绩没有影响的研究结果一致。结论--所做分析并未证明创新与财务业绩之间存在显著关系。一个可能的解释是,研发活动以及所有无形资产对公司业绩的影响主要在中长期内可以观察到(文献中称之为无形资产对业绩的 "滞后效应");因此,将分析限制在一年内并不能让我们完全掌握影响本身。我们不能绝对地理解所得出的结论,因为创新还可以用研发费用以外的其他指标来衡量,如信息和通信技术的使用、毕业生员工等。因此,考虑到研发对企业长期绩效的影响,并在分析中纳入其他因素,可能会有进一步的研究发展和思考点:创新、企业绩效、财务绩效、上市公司 JEL Codes:G30、L29、O30、
{"title":"Innovation and financial performance: an European evidence","authors":"Carmelo Intrisano, Anna Maria Calce, Elisa Cafolla, Michele Lentini","doi":"10.17261/pressacademia.2023.1853","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1853","url":null,"abstract":"Purpose- The purpose of this study is to explore the relationship between innovation and financial performance in the context of European listed companies. Starting from the initial thesis of Schumpeter, this topic attracts the interest of academics and managers because innovation is included among the factors capable of influencing the value, profitability and competitive advantage of companies. The empirical evidence in this regard appears divergent: the existing literature shows positive or negative impacts or indicates the absence of a relationship between innovation (summarised in research and development expenditure) and financial performance. \u0000Methodology- The study employs correlation analysis in order to figure out the existence of a link between innovation and financial performance. In accordance with the literature review, we use R&D expenses divided by sales as proxy of innovation and return on equity (ROE), return on capital employed (ROCE), EBITDA margin and profit margin as measures of financial performance. Data are obtained form the Amadeus Bureau van Dijk database and refers to the year 2020. Given the need to consider companies for which all the quantities mentioned are available for 2020, the final sample is made up of n. 224 European listed companies.\u0000Findings- Pearson's correlation coefficient with EBITDA margin is 0.027, with ROA is 0.016, with Net profit margin is 0.034 and with ROE is 0.025, highlighting a weak positive relationship between the independent variable and each dependent variables (that means the R&D activities will increase the profitability of firms on the same financial year). However the p-value, higher than the α=0.05 threshold, makes the correlation coefficient not statistically significant. The analysis reveals that innovation, measured by the ratio R&D espenses to sales, does not show any correlation with financial performance instantly, that is on the same financial year. Our results are consistent with the branch of studies according to which R&D activity has no effects on company performance. \u0000Conclusion- The analysis conducted does not prove the existence of a significant relationship between innovation and financial performance. A possible explanation can be found in the circumstance whereby the effect of research and development activities, as well as for all intangible assets, on the performance of companies is mainly observable in the medium-long term (what is known in the literature as the “lagged effect” of intangible assets on performance); therefore limiting the analysis to just one year does not allow us to fully grasp the impact itself. The conclusion reached is not to be understood in an absolute sense since innovation can also be measured by other indicators other than research and development expenses, such as the use of ICT, graduate employees, etc. Hence the possibility of further research developments and points of reflection considering the impact of R&D on the firm’s long-run per","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"11 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896903","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}
Pub Date : 2024-02-01DOI: 10.17261/pressacademia.2023.1871
Esteban Pérez Calderón, Samer Azeez Alrahamneh
Purpose- The goal of this study is to conduct a bibliometric analysis of papers relevant to information technology (IT) and auditing that were published in the Web of Science Core Collection database between 1978 and 2022. Methodology- This study does a bibliometric analysis of 2991 audit and information technology publications from a pool of 7738. It works in two steps: descriptive performance metrics and co-word analysis. The descriptive metrics include publishing patterns, productive nations and authors, effect on certain areas and journals, number of citations by country, and publications with the highest citations. The co-occurrence analysis maps the ties between concepts by utilizing social network analysis methods to investigate the field's interconnections. Findings- This study identifies six major trends in IT and auditing: increased technology use in internal auditing, the demand for information security expertise, transparency in the digital age, technology for ethical auditing, cloud-based auditing with blockchain, and post-COVID IT continuous auditing standards. These trends highlight the need for auditors to adapt to evolving technology and ethical considerations, prioritizing data security and privacy. Additionally, the survey reveals key authors, publications, and countries in this field, offering valuable insights for industry leaders and potential research collaborations. Conclusion- This study provides a complete overview of the topic of IT and auditing by integrating several methodological techniques. This study provides direction for future research in addition to offering significant insight into the main research trends, issues, and problems in this subject. Keywords: Information technology, auditing, co-occurrence analysis, bibliometric analysis. JEL Codes: M41, M42
目的--本研究的目的是对 1978 年至 2022 年期间发表在 Web of Science Core Collection 数据库中与信息技术(IT)和审计相关的论文进行文献计量分析。方法--本研究从 7738 篇论文中选取了 2991 篇审计和信息技术方面的论文进行文献计量分析。它分为两个步骤:描述性绩效指标和共词分析。描述性指标包括出版模式、高产国家和作者、对某些领域和期刊的影响、各国的引用次数以及引用次数最高的出版物。研究结果--本研究确定了 IT 和审计领域的六大趋势:内部审计中技术应用的增加、对信息安全专业知识的需求、数字时代的透明度、道德审计技术、基于区块链的云审计以及后 COVID IT 持续审计标准。这些趋势突出表明,审计人员需要适应不断发展的技术和道德考量,优先考虑数据安全和隐私。此外,调查还揭示了该领域的主要作者、出版物和国家,为行业领导者和潜在的研究合作提供了宝贵的见解。本研究为未来的研究提供了方向,同时也为这一主题的主要研究趋势、问题和难题提供了重要见解:信息技术、审计、共现分析、文献计量分析:M41, M42
{"title":"Mapping the intellectual structure and evolution of information technology and auditing: a bibliometric review","authors":"Esteban Pérez Calderón, Samer Azeez Alrahamneh","doi":"10.17261/pressacademia.2023.1871","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1871","url":null,"abstract":"Purpose- The goal of this study is to conduct a bibliometric analysis of papers relevant to information technology (IT) and auditing that were published in the Web of Science Core Collection database between 1978 and 2022.\u0000Methodology- This study does a bibliometric analysis of 2991 audit and information technology publications from a pool of 7738. It works in two steps: descriptive performance metrics and co-word analysis. The descriptive metrics include publishing patterns, productive nations and authors, effect on certain areas and journals, number of citations by country, and publications with the highest citations. The co-occurrence analysis maps the ties between concepts by utilizing social network analysis methods to investigate the field's interconnections.\u0000Findings- This study identifies six major trends in IT and auditing: increased technology use in internal auditing, the demand for information security expertise, transparency in the digital age, technology for ethical auditing, cloud-based auditing with blockchain, and post-COVID IT continuous auditing standards. These trends highlight the need for auditors to adapt to evolving technology and ethical considerations, prioritizing data security and privacy. Additionally, the survey reveals key authors, publications, and countries in this field, offering valuable insights for industry leaders and potential research collaborations.\u0000Conclusion- This study provides a complete overview of the topic of IT and auditing by integrating several methodological techniques. This study provides direction for future research in addition to offering significant insight into the main research trends, issues, and problems in this subject.\u0000\u0000Keywords: Information technology, auditing, co-occurrence analysis, bibliometric analysis.\u0000JEL Codes: M41, M42\u0000","PeriodicalId":517141,"journal":{"name":"Pressacademia","volume":"330 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896965","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}