Pub Date : 2023-09-30DOI: 10.17261/pressacademia.2023.1819
Mehmet Yasar
Purpose- Users typically choose the option that is most convenient for them in terms of time or cost based on their preferences when multiple options are presented on the same line. In this regard, users' preferences are significantly impacted by the product components given by competing travel options. The aim of this study is to evaluate the criteria that are considered to be effective in competition and user preferences in transport corridors where there is cross-competition, and to rank the routes according to these criteria. Methodology- In this context, transport corridors in Turkey and some European countries have been selected. The criteria evaluation of the selected routes was carried out using the Entropy method and then the ranking of the routes was carried out using the WASPAS method. Findings- It can be seen that the London-Manchester air route is ranked first, while the Paris-Lyon air route is ranked last in the study. Taking into account the HSR ranking, the London-Manchester corridor is in first place, as in the airline sector. Among the selected routes, the Ankara-Istanbul HSR corridor is ranked the last. When it comes to bus transport, the Ankara-Istanbul route is in the top position. On the other hand, the Berlin-Frankfurt corridor comes last. Conclusion- The results of the research are important in terms of understanding the factors that are effective in cross-competition By considering the performance criteria of these routes and their respective weightings, it can inform decisions related to the regulation of fares or the development of investment programmes to enhance the competitiveness of public transport modes such as High Speed Rail (HSR). In essence, this research fills a gap in transport decision studies by providing a comprehensive analysis of routes across all modes and providing actionable insights for policy makers. Keywords: Cross competition, transportation modes, airline, WASPAS, entropy. JEL Codes: D61, L91, L93.
{"title":"Determinat,on of the best transport alternatives by entropy based WASPAS method: a comparative study on cross-competetive routes","authors":"Mehmet Yasar","doi":"10.17261/pressacademia.2023.1819","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1819","url":null,"abstract":"Purpose- Users typically choose the option that is most convenient for them in terms of time or cost based on their preferences when multiple options are presented on the same line. In this regard, users' preferences are significantly impacted by the product components given by competing travel options. The aim of this study is to evaluate the criteria that are considered to be effective in competition and user preferences in transport corridors where there is cross-competition, and to rank the routes according to these criteria. Methodology- In this context, transport corridors in Turkey and some European countries have been selected. The criteria evaluation of the selected routes was carried out using the Entropy method and then the ranking of the routes was carried out using the WASPAS method. Findings- It can be seen that the London-Manchester air route is ranked first, while the Paris-Lyon air route is ranked last in the study. Taking into account the HSR ranking, the London-Manchester corridor is in first place, as in the airline sector. Among the selected routes, the Ankara-Istanbul HSR corridor is ranked the last. When it comes to bus transport, the Ankara-Istanbul route is in the top position. On the other hand, the Berlin-Frankfurt corridor comes last. Conclusion- The results of the research are important in terms of understanding the factors that are effective in cross-competition By considering the performance criteria of these routes and their respective weightings, it can inform decisions related to the regulation of fares or the development of investment programmes to enhance the competitiveness of public transport modes such as High Speed Rail (HSR). In essence, this research fills a gap in transport decision studies by providing a comprehensive analysis of routes across all modes and providing actionable insights for policy makers. Keywords: Cross competition, transportation modes, airline, WASPAS, entropy. JEL Codes: D61, L91, L93.","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136343270","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1822
G.K.H Ganewatta, N.L.D.H Hiroshima
Purpose- This article investigates the impact of work overload and work-family conflict as job stressors on employees' intention to leave in the Sri Lankan apparel sector, focusing on the mediating effect of work-family conflict. The study addresses concerns over high employee turnover rates among machine operators in the sector. Methodology- The study collected primary data through a self-administered questionnaire from a sample of 106 machine operators working in a selected factory in the western province of Sri Lanka. The research adopted a cross-sectional quantitative survey design, and data analysis was performed using the SPSS PROCESS macro. Findings- The study revealed that work overload positively influenced work-family conflict, indicating challenges in balancing work and family responsibilities. Further, work overload increased employees' intention to leave, suggesting its detrimental effects on employee motivation and job satisfaction. Work-family conflict serves as a partial mediator in the relationship between work overload and turnover intentions, playing a crucial role in transmitting adverse effects, leading to increased turnover intentions. Conclusion- This research demonstrates the combined effects of work overload and work-family conflict on employee turnover intentions within the Sri Lankan apparel sector context. The findings highlight the importance of addressing work-related demands and resources to enhance job outcomes, such as employee turnover, in compliance with the Job Demands-Resources model. These insights provide practical implications for implementing strategies that promote work-life balance, reduce turnover intentions and enhance both employee and organisational performance. Keywords: Work overload, work-family conflict, employee turnover intentions, job stressor, Sri Lankan apparel sector. JEL Codes: J28, J63, J81
{"title":"Impact of work overload as a job stressor on employees intention to leave: The mediating effect of work-family conflict in a Sri Lankan apparel sector organisation","authors":"G.K.H Ganewatta, N.L.D.H Hiroshima","doi":"10.17261/pressacademia.2023.1822","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1822","url":null,"abstract":"Purpose- This article investigates the impact of work overload and work-family conflict as job stressors on employees' intention to leave in the Sri Lankan apparel sector, focusing on the mediating effect of work-family conflict. The study addresses concerns over high employee turnover rates among machine operators in the sector. Methodology- The study collected primary data through a self-administered questionnaire from a sample of 106 machine operators working in a selected factory in the western province of Sri Lanka. The research adopted a cross-sectional quantitative survey design, and data analysis was performed using the SPSS PROCESS macro. Findings- The study revealed that work overload positively influenced work-family conflict, indicating challenges in balancing work and family responsibilities. Further, work overload increased employees' intention to leave, suggesting its detrimental effects on employee motivation and job satisfaction. Work-family conflict serves as a partial mediator in the relationship between work overload and turnover intentions, playing a crucial role in transmitting adverse effects, leading to increased turnover intentions. Conclusion- This research demonstrates the combined effects of work overload and work-family conflict on employee turnover intentions within the Sri Lankan apparel sector context. The findings highlight the importance of addressing work-related demands and resources to enhance job outcomes, such as employee turnover, in compliance with the Job Demands-Resources model. These insights provide practical implications for implementing strategies that promote work-life balance, reduce turnover intentions and enhance both employee and organisational performance. Keywords: Work overload, work-family conflict, employee turnover intentions, job stressor, Sri Lankan apparel sector. JEL Codes: J28, J63, J81","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136343712","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1799
Ali Akbaba
Purpose- For airline companies to continue their operations, their growth is of critical importance. Increasing the number of passengers transported and/or cargo volume compared to the previous period is one way to gain a larger share of the market. At this point, selecting the most profitable potential flight routes is crucial in optimizing resource utilization. The aim of this study can be reported as selecting the most effective flight route through data envelopment analysis (DEA) from potential flight routes for evaluating aircraft resources in the airline industry. Methodology- The study consists of two phases. In the first phase, effective flight routes are determined in three stages using the DEA method. In the second phase, the flight route to be flown was decided by evaluating factors such as transit passenger numbers and flight hours among the most effective routes determined in the first phase using the DEA method. Findings- Despite having a flight time of more than 25 minutes longer than DMU 9, DMU 6 is forecasted to have an additional 26 transit passenger revenue. Therefore, it can be reported that DMU 6 is a more effective route than DMU 9. DMU 6 is executed with an average of 02:35 hours less flight time, despite the prediction of 8 transit passenger revenue less than DMU 7. Therefore, as using the aircraft resource for an additional flight would result in more revenue, DMU 6 may be a more effective route for the airline. These data indicate that DMU 6 is the optimal DMU for scheduling flights. Conclusion- The aim of this study is to measure the efficiency of airline flight route selection using the DEA method. The results of the study reveal that the DEA method is not suitable for determining the most efficient flight route, but it can be used to eliminate inefficient flight routes and narrow down potential flight routes. To determine the most efficient route, it is critical to eliminate inefficient flight routes using the DEA method and evaluate other flight-related factors. This will help in identifying the optimal flight route Keywords: Airline flight route, efficiency, Data Envelopment Analysis (DEA), flight revenues, flight expenses, transit passengers. JEL Codes: L93, M21, C44
{"title":"DETERMINATION OF NEW FLIGHT ROUTE WITH DEA METHOD IN AIRLINE OPERATIONS","authors":"Ali Akbaba","doi":"10.17261/pressacademia.2023.1799","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1799","url":null,"abstract":"Purpose- For airline companies to continue their operations, their growth is of critical importance. Increasing the number of passengers transported and/or cargo volume compared to the previous period is one way to gain a larger share of the market. At this point, selecting the most profitable potential flight routes is crucial in optimizing resource utilization. The aim of this study can be reported as selecting the most effective flight route through data envelopment analysis (DEA) from potential flight routes for evaluating aircraft resources in the airline industry. Methodology- The study consists of two phases. In the first phase, effective flight routes are determined in three stages using the DEA method. In the second phase, the flight route to be flown was decided by evaluating factors such as transit passenger numbers and flight hours among the most effective routes determined in the first phase using the DEA method. Findings- Despite having a flight time of more than 25 minutes longer than DMU 9, DMU 6 is forecasted to have an additional 26 transit passenger revenue. Therefore, it can be reported that DMU 6 is a more effective route than DMU 9. DMU 6 is executed with an average of 02:35 hours less flight time, despite the prediction of 8 transit passenger revenue less than DMU 7. Therefore, as using the aircraft resource for an additional flight would result in more revenue, DMU 6 may be a more effective route for the airline. These data indicate that DMU 6 is the optimal DMU for scheduling flights. Conclusion- The aim of this study is to measure the efficiency of airline flight route selection using the DEA method. The results of the study reveal that the DEA method is not suitable for determining the most efficient flight route, but it can be used to eliminate inefficient flight routes and narrow down potential flight routes. To determine the most efficient route, it is critical to eliminate inefficient flight routes using the DEA method and evaluate other flight-related factors. This will help in identifying the optimal flight route Keywords: Airline flight route, efficiency, Data Envelopment Analysis (DEA), flight revenues, flight expenses, transit passengers. JEL Codes: L93, M21, C44","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136272089","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- This paper investigates earnings management, capital management, the impact of the Covid-19 pandemic and signalling by United States listed banks of loan loss provisions. This study is particularly important because there is a relative dearth of research in banking on these topics and thus remain considerably under researched. Methodology- The dataset comprises a pooled cross-sectional and time series data for a sample of 249 U.S. listed banks for the period 2015 to 2020 consisting of 1,494 observations. A panel data analysis is conducted. Findings- Results overall show no evidence of systematic earnings management, capital management or signaling by the banks. Findings reveal the impact of the Covid-19 pandemic is not significant during this period of economic fragility for listed banks. The elasticity of loan loss provisions with regards to the annual growth in gross domestic product is negative and statistically significant overall. This is evidence that U.S. listed banks’ loan loss provisioning exhibits a pro-cyclical nature. Overall, these results provide evidence of the success of restrictions due to tighter bank regulation and supervision that came into effect at the end of 2014. This required U.S. banks to maintain a minimum common equity tier 1 capital ratio of 4 percent, a minimum tier 1 capital ratio of 5.5 percent, a minimum total capital ratio of 8 percent, and a minimum leverage ratio of 4 percent. Conclusion- This study adds to the literature as it provides evidence that restrictions on bank activities in the form of minimum capital and leverage ratios at the end of 2014, restrictions in the use of bank capital, and extension of financial support via government intervention funding during the Covid-19 pandemic crisis period have reduced incentives to smooth earnings in the United States banking system. It therefore represents a tried and tested model that can be adopted by banking systems in other countries. Keywords: Banks, capital management, COVID-19 pandemic, earnings management, loan loss provision, signalling. JEL Codes: M41, G21, C23, G28
{"title":"Earnings management, capital management, signalling and the Covid-19 pandemic: the case of listed banks in the United States","authors":"Ikechukwu Ndu, , Emmanuel Anoruo, Chiaku Chukwuogor","doi":"10.17261/pressacademia.2023.1815","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1815","url":null,"abstract":"Purpose- This paper investigates earnings management, capital management, the impact of the Covid-19 pandemic and signalling by United States listed banks of loan loss provisions. This study is particularly important because there is a relative dearth of research in banking on these topics and thus remain considerably under researched. Methodology- The dataset comprises a pooled cross-sectional and time series data for a sample of 249 U.S. listed banks for the period 2015 to 2020 consisting of 1,494 observations. A panel data analysis is conducted. Findings- Results overall show no evidence of systematic earnings management, capital management or signaling by the banks. Findings reveal the impact of the Covid-19 pandemic is not significant during this period of economic fragility for listed banks. The elasticity of loan loss provisions with regards to the annual growth in gross domestic product is negative and statistically significant overall. This is evidence that U.S. listed banks’ loan loss provisioning exhibits a pro-cyclical nature. Overall, these results provide evidence of the success of restrictions due to tighter bank regulation and supervision that came into effect at the end of 2014. This required U.S. banks to maintain a minimum common equity tier 1 capital ratio of 4 percent, a minimum tier 1 capital ratio of 5.5 percent, a minimum total capital ratio of 8 percent, and a minimum leverage ratio of 4 percent. Conclusion- This study adds to the literature as it provides evidence that restrictions on bank activities in the form of minimum capital and leverage ratios at the end of 2014, restrictions in the use of bank capital, and extension of financial support via government intervention funding during the Covid-19 pandemic crisis period have reduced incentives to smooth earnings in the United States banking system. It therefore represents a tried and tested model that can be adopted by banking systems in other countries. Keywords: Banks, capital management, COVID-19 pandemic, earnings management, loan loss provision, signalling. JEL Codes: M41, G21, C23, G28","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342844","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1818
Xitong Liu
Purpose- Firstly, this paper examines how current measurements of consumer confidence might be used to forecast future household spending by using economic variable (i.e. unemployment rate, national adjusted income per capita) data in China, with the help of statistic tools (i.e. Python and Pandas) for the job of data cleaning and analyzing. Secondly, I will focus on the ways in which businesses alter their marketing mix in the face of economic hardship to survive by understanding the importance of utilizing effective marketing strategies during economic downturns. Methodology- This paper examines the predictive performance of consumer confidence index on change in consumption growth by constructing three different OLS regression models and by integrating several existing proposals for effective marketing strategies for businesses in times of low consumer confidence to help business managers to make wise and effective response to economic downturns. Findings- It is shown both 1 year lagged consumer confidence and 3 years lagged consumer confidence are good predictors for current change in consumption patterns, whereas 2 years lagged consumer confidence shows negative correlation with consumption change, and consumer confidence have their own predictive power regardless of the macroeconomic variables. Conclusion- Therefore, this paper contributes to the existing literature by providing empirical findings that consumer confidence cannot always fulfill the role of anticipating consumption change and by further providing concrete policy recommendations for consumer confidence’ revival during recessions in an effort to fill the gap. Keywords: Consumer confidence, marketing, consumption, consumer behavior, forecasting. JEL Codes: B16, B22, E21, E27, M21, M31
{"title":"Understanding consumer confidence evolution in response to adverse shocks and how marketing contributes to business s success in economic downturns","authors":"Xitong Liu","doi":"10.17261/pressacademia.2023.1818","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1818","url":null,"abstract":"Purpose- Firstly, this paper examines how current measurements of consumer confidence might be used to forecast future household spending by using economic variable (i.e. unemployment rate, national adjusted income per capita) data in China, with the help of statistic tools (i.e. Python and Pandas) for the job of data cleaning and analyzing. Secondly, I will focus on the ways in which businesses alter their marketing mix in the face of economic hardship to survive by understanding the importance of utilizing effective marketing strategies during economic downturns. Methodology- This paper examines the predictive performance of consumer confidence index on change in consumption growth by constructing three different OLS regression models and by integrating several existing proposals for effective marketing strategies for businesses in times of low consumer confidence to help business managers to make wise and effective response to economic downturns. Findings- It is shown both 1 year lagged consumer confidence and 3 years lagged consumer confidence are good predictors for current change in consumption patterns, whereas 2 years lagged consumer confidence shows negative correlation with consumption change, and consumer confidence have their own predictive power regardless of the macroeconomic variables. Conclusion- Therefore, this paper contributes to the existing literature by providing empirical findings that consumer confidence cannot always fulfill the role of anticipating consumption change and by further providing concrete policy recommendations for consumer confidence’ revival during recessions in an effort to fill the gap. Keywords: Consumer confidence, marketing, consumption, consumer behavior, forecasting. JEL Codes: B16, B22, E21, E27, M21, M31","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342969","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1806
Raja Tumati, Mithaa Al-Salmi
Purpose- The main aim of this study is to analyse the work-life balance initiatives practised in Muscat hotels. The study also aims to examine the influence of work-life balance initiatives on employee career development and retention. Methodology- As the objective of this study was to assess and quantify several factors to provide findings, quantitative research was used. A descriptive research design was employed to collect extensive data by thoroughly detailing the topic or testing hypotheses. The sampling technique used in this study was purposeful sampling, with hotel employees in Muscat serving as the major target group. Responses from 164 individuals were gathered for the study using a questionnaire. Findings- Flexible Working Hours (4.27) was the work-life balance practise used in hotels to assist employees in finding a balance between work and family life. Career breaks (4.35) have the highest mean rating for work-life balance practises that motivate employees to stay with their employers. The results show that there is a positive and significant relationship between work-life balance and employees’ career development, with a Pearson's r value of 0.451 and a p-value of 0.000 < 0.01. Further, the Pearson’s r correlation shows that work-life balance and employee retention are positively and significantly correlated, with the obtained Pearson's r value of 0.634 and a p-value of 0.000 < 0.01. Conclusion- The results of this research indicate that hotels that promote work-life balance will reap benefits such as higher job satisfaction, lower turnover rates, possibilities for career advancement, better morale, and higher organisational productivity. Keywords: Work-life balance, luxury hotels, employees, career breaks, work-life balance initiatives JEL Codes: N30, J53, M54
{"title":"Discovering harmony: unravelling the work-life balance of hotel employees in Oman: an explorative study of luxury hotels in Muscat","authors":"Raja Tumati, Mithaa Al-Salmi","doi":"10.17261/pressacademia.2023.1806","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1806","url":null,"abstract":"Purpose- The main aim of this study is to analyse the work-life balance initiatives practised in Muscat hotels. The study also aims to examine the influence of work-life balance initiatives on employee career development and retention. Methodology- As the objective of this study was to assess and quantify several factors to provide findings, quantitative research was used. A descriptive research design was employed to collect extensive data by thoroughly detailing the topic or testing hypotheses. The sampling technique used in this study was purposeful sampling, with hotel employees in Muscat serving as the major target group. Responses from 164 individuals were gathered for the study using a questionnaire. Findings- Flexible Working Hours (4.27) was the work-life balance practise used in hotels to assist employees in finding a balance between work and family life. Career breaks (4.35) have the highest mean rating for work-life balance practises that motivate employees to stay with their employers. The results show that there is a positive and significant relationship between work-life balance and employees’ career development, with a Pearson's r value of 0.451 and a p-value of 0.000 < 0.01. Further, the Pearson’s r correlation shows that work-life balance and employee retention are positively and significantly correlated, with the obtained Pearson's r value of 0.634 and a p-value of 0.000 < 0.01. Conclusion- The results of this research indicate that hotels that promote work-life balance will reap benefits such as higher job satisfaction, lower turnover rates, possibilities for career advancement, better morale, and higher organisational productivity. Keywords: Work-life balance, luxury hotels, employees, career breaks, work-life balance initiatives JEL Codes: N30, J53, M54","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136343090","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1812
Sardar Naeem Hakimzai
Purpose- This study examines the impact of monetary policy shocks on industrial output in Afghanistan. Quarterly secondary data were collected for the period from 2003 to 2021 from various official sources such as the Statistical Bulletin of the Central Bank of Afghanistan, the International Monetary Fund, and the World Bank. Methodology- This study used a three-stage procedure. The first stage involved testing the stability of the variables to be included in the model. The second stage involves selecting the optimal lag length using various lag length criteria. Finally, the Vector Error Correction (VECM) model was used to determine if there were any short-run correlations or dynamics among the variables. The study also conducted some post-tests to confirm the validity and robustness of the regression model. Findings- The results of the long-run vector error correction model show that there is a long-run causality running from monetary policy rate, broad money supply, inflation, exchange rate, and a commercial bank loan to the industrial sector. So, there was a speed of adjustment from the short-run to the long-run equilibrium. However, the Wald test confirmed that the short-run causality runs from the explanatory variables to the dependent variable. Commercial bank credit to the industrial sector was found to cause a change in industrial production in all six lag periods. The results were further supported by the Granger causality test. Shocks in commercial bank lending to the industrial sector were found to have no significant effect on industrial output. However, the performance of the industrial sector was the main cause of the flow of commercial banks' credit to the industrial sector. Conclusion- The study recommends that monetary policy should proceed with extreme caution in managing the exchange rate. The study also recommends that the Central Bank of Afghanistan should encourage commercial banks to offer credit to the industrial sector at low-interest rates. Keywords: Monetary policy shocks, industrial output, Vector Error Correction Model (VECM), Granger Causality Test, Afghanistan. JEL Codes: E52, E32, L60
{"title":"The effect of monetary policy shocks on industrial output in Afghanistan","authors":"Sardar Naeem Hakimzai","doi":"10.17261/pressacademia.2023.1812","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1812","url":null,"abstract":"Purpose- This study examines the impact of monetary policy shocks on industrial output in Afghanistan. Quarterly secondary data were collected for the period from 2003 to 2021 from various official sources such as the Statistical Bulletin of the Central Bank of Afghanistan, the International Monetary Fund, and the World Bank. Methodology- This study used a three-stage procedure. The first stage involved testing the stability of the variables to be included in the model. The second stage involves selecting the optimal lag length using various lag length criteria. Finally, the Vector Error Correction (VECM) model was used to determine if there were any short-run correlations or dynamics among the variables. The study also conducted some post-tests to confirm the validity and robustness of the regression model. Findings- The results of the long-run vector error correction model show that there is a long-run causality running from monetary policy rate, broad money supply, inflation, exchange rate, and a commercial bank loan to the industrial sector. So, there was a speed of adjustment from the short-run to the long-run equilibrium. However, the Wald test confirmed that the short-run causality runs from the explanatory variables to the dependent variable. Commercial bank credit to the industrial sector was found to cause a change in industrial production in all six lag periods. The results were further supported by the Granger causality test. Shocks in commercial bank lending to the industrial sector were found to have no significant effect on industrial output. However, the performance of the industrial sector was the main cause of the flow of commercial banks' credit to the industrial sector. Conclusion- The study recommends that monetary policy should proceed with extreme caution in managing the exchange rate. The study also recommends that the Central Bank of Afghanistan should encourage commercial banks to offer credit to the industrial sector at low-interest rates. Keywords: Monetary policy shocks, industrial output, Vector Error Correction Model (VECM), Granger Causality Test, Afghanistan. JEL Codes: E52, E32, L60","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136343091","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1779
Fatih Pinarbasi
Purpose- Environmental concern is a key issue for today's society, and consumer behavior is one of the reflection areas of environmental concern in today's marketing. Understanding the behavior patterns of consumers acting with the awareness of protecting the environment, evaluating their practices, and examining their opinions will be beneficial for marketing research. This paper aims to explore an online community discussing the Zero Waste concept and evaluate the themes in the discussion content. With an exploratory aim, this study examines the posts on an online community on a social media platform (Reddit/ZeroWaste) to evaluate community discussion for the Zero Waste concept. Methodology- Data collected from Reddit community of ZeroWaste with the filter of “top posts” and “all time” is used for the sample of the study. Consistent with the exploratory purpose of the study, thematic analysis methodology is employed on community posts. Content is evaluated in two dimensions -post type and content categories- and four post types and thirteen content categories are concluded in the study. Findings- Post types include information, instruction, personal experience, and discussion with community. Content categories include zero waste cases, showcase of zerowaste lifestyle and applications, upcycling, repurposing, reusable items/reusing, recycling, food waste, do it yourself, news sharing, product instruction, discussion about responsibility, environmental awareness, and memes/humor. Conclusion- Post types can signal how the discussion is shaped in the community, while content categories are reflecting the different type of themes in the content. "Zero Waste cases" theme expresses the industrial applications, therefore companies can use this theme to benchmark themselves and understand the applications. "Showcase of Zerowaste Lifestyle and Applications" theme can signal the consumers’ behaviors about the topic. Other themes such as "Upcycling, Repurposing, Reusable items / Reusing, Recycling" also shows the different types of zero waste applications. Evaluation of the post types and content categories included in the conversation of Zero Waste community can help managerial decision-making process about sustainable marketing practises and consumer behavior. Keywords: Zero waste, sustainable consumption, consumer behavior, reddit JEL Codes: M31, Q56
{"title":"ZERO WASTE AND CONSUMERS: A THEMATIC ANALYSIS OF REDDIT R/ZEROWASTE COMMUNITY POSTS","authors":"Fatih Pinarbasi","doi":"10.17261/pressacademia.2023.1779","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1779","url":null,"abstract":"Purpose- Environmental concern is a key issue for today's society, and consumer behavior is one of the reflection areas of environmental concern in today's marketing. Understanding the behavior patterns of consumers acting with the awareness of protecting the environment, evaluating their practices, and examining their opinions will be beneficial for marketing research. This paper aims to explore an online community discussing the Zero Waste concept and evaluate the themes in the discussion content. With an exploratory aim, this study examines the posts on an online community on a social media platform (Reddit/ZeroWaste) to evaluate community discussion for the Zero Waste concept. Methodology- Data collected from Reddit community of ZeroWaste with the filter of “top posts” and “all time” is used for the sample of the study. Consistent with the exploratory purpose of the study, thematic analysis methodology is employed on community posts. Content is evaluated in two dimensions -post type and content categories- and four post types and thirteen content categories are concluded in the study. Findings- Post types include information, instruction, personal experience, and discussion with community. Content categories include zero waste cases, showcase of zerowaste lifestyle and applications, upcycling, repurposing, reusable items/reusing, recycling, food waste, do it yourself, news sharing, product instruction, discussion about responsibility, environmental awareness, and memes/humor. Conclusion- Post types can signal how the discussion is shaped in the community, while content categories are reflecting the different type of themes in the content. \"Zero Waste cases\" theme expresses the industrial applications, therefore companies can use this theme to benchmark themselves and understand the applications. \"Showcase of Zerowaste Lifestyle and Applications\" theme can signal the consumers’ behaviors about the topic. Other themes such as \"Upcycling, Repurposing, Reusable items / Reusing, Recycling\" also shows the different types of zero waste applications. Evaluation of the post types and content categories included in the conversation of Zero Waste community can help managerial decision-making process about sustainable marketing practises and consumer behavior. Keywords: Zero waste, sustainable consumption, consumer behavior, reddit JEL Codes: M31, Q56","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136272509","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1820
Ibrahim Halil Efendioglu
Purpose- This study aims to provide a bibliometric review of publications where the terms 'digital marketing' and 'artificial intelligence' are used together. Leading publications, authors, countries, and institutions in the Web of Science (WoS) database have been examined to achieve this goal. Additionally, this article investigates the combined use of digital marketing and artificial intelligence. Furthermore, it aims to offer insights into artificial intelligence strategies for marketing that businesses can employ. Methodology- The research employs the technique of bibliometric analysis. The Bibliometrix package within R Studio and its web-based component, Biblioshiny, were utilized for analysis. Searches were conducted in the Web of Science database using the keywords 'Digital Marketing' and 'Artificial Intelligence' in the title, abstract, and keywords sections. Findings- As a result of the analysis, a total of 60 publications authored by 140 researchers and distributed across 46 journals between 2017 and 2023 were identified. Examination of the included publications reveals frequent usage of terms such as 'artificial intelligence,' 'creativity,' 'analytics,' 'impact,' 'expertise,' 'social networks,' 'big data,' 'governance,' 'success,' and 'AI.' Upon scrutinizing the authors' countries, India emerged as the leading contributor, followed by Spain and the USA. Moreover, Finland (370), Spain (92), and France (58) had the highest citation counts. Conclusion- This research aims to contribute to researchers interested in working in digital marketing and artificial intelligence by examining its past and present. For this purpose, 60 relevant studies from the literature were systematically reviewed and analyzed across various categories. Additionally, the examined publications' conceptual, intellectual, and social structures were illuminated. Keywords: Digital marketing, artificial intelligence, AI systems, bibliometric analysis, bibliometrix. JEL Codes: M15, M30, M31
目的-本研究旨在对“数字营销”和“人工智能”这两个术语一起使用的出版物进行文献计量分析。为了实现这一目标，对Web of Science (WoS)数据库中的主要出版物、作者、国家和机构进行了研究。此外，本文还研究了数字营销和人工智能的结合使用。此外，它旨在为企业可以采用的营销人工智能策略提供见解。研究方法:本研究采用文献计量分析技术。使用R Studio中的Bibliometrix包及其基于web的组件Biblioshiny进行分析。在Web of Science数据库中，在标题、摘要和关键词部分使用关键词“数字营销”和“人工智能”进行搜索。研究结果:通过分析，确定了140名研究人员在2017年至2023年期间在46个期刊上发表的60篇论文。通过对收录的出版物进行检查，可以发现“人工智能”、“创造力”、“分析”、“影响”、“专业知识”、“社交网络”、“大数据”、“治理”、“成功”和“人工智能”等术语的频繁使用。仔细观察作者的国家，印度是最大的贡献者，其次是西班牙和美国。此外，芬兰(370篇)、西班牙(92篇)和法国(58篇)的引用次数最高。结论-本研究旨在通过研究数字营销和人工智能的过去和现在，为有兴趣从事数字营销和人工智能工作的研究人员做出贡献。为此，我们从文献中系统地回顾和分析了60项相关研究。此外，研究出版物的概念、知识和社会结构也被阐明。关键词:数字营销，人工智能，人工智能系统，文献计量分析，文献计量矩阵JEL代码:M15, M30, M31
{"title":"The evaluation of AI integration in innovative digital marketing strategies","authors":"Ibrahim Halil Efendioglu","doi":"10.17261/pressacademia.2023.1820","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1820","url":null,"abstract":"Purpose- This study aims to provide a bibliometric review of publications where the terms 'digital marketing' and 'artificial intelligence' are used together. Leading publications, authors, countries, and institutions in the Web of Science (WoS) database have been examined to achieve this goal. Additionally, this article investigates the combined use of digital marketing and artificial intelligence. Furthermore, it aims to offer insights into artificial intelligence strategies for marketing that businesses can employ. Methodology- The research employs the technique of bibliometric analysis. The Bibliometrix package within R Studio and its web-based component, Biblioshiny, were utilized for analysis. Searches were conducted in the Web of Science database using the keywords 'Digital Marketing' and 'Artificial Intelligence' in the title, abstract, and keywords sections. Findings- As a result of the analysis, a total of 60 publications authored by 140 researchers and distributed across 46 journals between 2017 and 2023 were identified. Examination of the included publications reveals frequent usage of terms such as 'artificial intelligence,' 'creativity,' 'analytics,' 'impact,' 'expertise,' 'social networks,' 'big data,' 'governance,' 'success,' and 'AI.' Upon scrutinizing the authors' countries, India emerged as the leading contributor, followed by Spain and the USA. Moreover, Finland (370), Spain (92), and France (58) had the highest citation counts. Conclusion- This research aims to contribute to researchers interested in working in digital marketing and artificial intelligence by examining its past and present. For this purpose, 60 relevant studies from the literature were systematically reviewed and analyzed across various categories. Additionally, the examined publications' conceptual, intellectual, and social structures were illuminated. Keywords: Digital marketing, artificial intelligence, AI systems, bibliometric analysis, bibliometrix. JEL Codes: M15, M30, M31","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136343279","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 : 2023-09-30DOI: 10.17261/pressacademia.2023.1821
Ersin Kanat
Purpose- This study aims to assess the effectiveness of technical analysis indicators used by investors in the cryptocurrency market for making informed decisions. Emphasizing the importance of accurate decision-making methods in financial markets, this research particularly focuses on the cryptocurrency market, which has gained significant attention among investors in recent years. Methodology- The study specifically examines technical analysis, a widely employed method in various financial markets, with a focus on its predictive capabilities concerning Bitcoin price forecasts. Leveraging advanced technologies, such as big data analysis and machine learning, the research utilizes daily trading data from January 1, 2017, to June 30, 2022, presenting technical indicators and their associated error margins. Findings- The study highlights the significance of using Weighted Moving Average (WMA) and Stochastic Oscillator (STO) indicators in combination, demonstrating that multiple indicators outperform individual ones. This research underscores the effectiveness of technical analysis methods in the cryptocurrency market, aiding the development of enhanced investment strategies. Conclusion- In conclusion, this study delves into the potency of technical analysis techniques employed by investors in cryptocurrency markets. The insights indicate that combining indicators and technical analysis methods holds promise for future investment strategies. It is essential to note that even the best method can lead to losses, as evidenced by the presence of error margins, and absolute profitability cannot be guaranteed through technical analysis methods. Keywords: Cryptocurrency, technical analysis, machine-learning, classification algorithms, investment. JEL Codes: C38, C55, G17
{"title":"The validity of technical analysis in the cryptocurrency market: evidence from machine learning methods","authors":"Ersin Kanat","doi":"10.17261/pressacademia.2023.1821","DOIUrl":"https://doi.org/10.17261/pressacademia.2023.1821","url":null,"abstract":"Purpose- This study aims to assess the effectiveness of technical analysis indicators used by investors in the cryptocurrency market for making informed decisions. Emphasizing the importance of accurate decision-making methods in financial markets, this research particularly focuses on the cryptocurrency market, which has gained significant attention among investors in recent years. Methodology- The study specifically examines technical analysis, a widely employed method in various financial markets, with a focus on its predictive capabilities concerning Bitcoin price forecasts. Leveraging advanced technologies, such as big data analysis and machine learning, the research utilizes daily trading data from January 1, 2017, to June 30, 2022, presenting technical indicators and their associated error margins. Findings- The study highlights the significance of using Weighted Moving Average (WMA) and Stochastic Oscillator (STO) indicators in combination, demonstrating that multiple indicators outperform individual ones. This research underscores the effectiveness of technical analysis methods in the cryptocurrency market, aiding the development of enhanced investment strategies. Conclusion- In conclusion, this study delves into the potency of technical analysis techniques employed by investors in cryptocurrency markets. The insights indicate that combining indicators and technical analysis methods holds promise for future investment strategies. It is essential to note that even the best method can lead to losses, as evidenced by the presence of error margins, and absolute profitability cannot be guaranteed through technical analysis methods. Keywords: Cryptocurrency, technical analysis, machine-learning, classification algorithms, investment. JEL Codes: C38, C55, G17","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342842","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}
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