Pub Date : 2021-10-28DOI: 10.5755/j01.ee.32.4.28717
D. Antinienė, B. Šeinauskienė, Aušra Rūtelionė, Shahrokh Nikou, R. Lekavičienė
This paper aims to investigate the effects of personal characteristics such as gender, income, education and age on consumer materialism. Research hypotheses are based on both existing marketing literature and an additional integration of gender studies literature in order to further the study of materialism. By using random sampling and surveying 1000 respondents living across different regions in Lithuania, the results show significant differences along gender, age, self-perceived relative income and education in terms of consumers’ materialistic dispositions. The study confirms that younger consumers are more inclined to materialistic values than older ones. Women differ from men on materialism centrality, as well as happiness and success measures. Regarding consumers’ self-perceived relative income, Lithuanians with low income are more prone to aspire to material possessions. Furthermore, research indicates higher rates of consumer materialism to appear among less educated individuals. This is one of the first representative studies in Lithuania revealing what effects different demographic consumer characteristics have on materialistic behaviour. Our findings have some practical implications; for example, they show that vulnerable segments of the population are more susceptible to materialism, necessitating educational policies to reduce such behavior and encourage a more responsible approach. As a result, these educational programs should be tailored to these individuals, with a greater emphasis on the risks associated with overconsumption.
{"title":"Do Demographics Matter in Consumer Materialism?","authors":"D. Antinienė, B. Šeinauskienė, Aušra Rūtelionė, Shahrokh Nikou, R. Lekavičienė","doi":"10.5755/j01.ee.32.4.28717","DOIUrl":"https://doi.org/10.5755/j01.ee.32.4.28717","url":null,"abstract":"This paper aims to investigate the effects of personal characteristics such as gender, income, education and age on consumer materialism. Research hypotheses are based on both existing marketing literature and an additional integration of gender studies literature in order to further the study of materialism. By using random sampling and surveying 1000 respondents living across different regions in Lithuania, the results show significant differences along gender, age, self-perceived relative income and education in terms of consumers’ materialistic dispositions. The study confirms that younger consumers are more inclined to materialistic values than older ones. Women differ from men on materialism centrality, as well as happiness and success measures. Regarding consumers’ self-perceived relative income, Lithuanians with low income are more prone to aspire to material possessions. Furthermore, research indicates higher rates of consumer materialism to appear among less educated individuals. This is one of the first representative studies in Lithuania revealing what effects different demographic consumer characteristics have on materialistic behaviour. Our findings have some practical implications; for example, they show that vulnerable segments of the population are more susceptible to materialism, necessitating educational policies to reduce such behavior and encourage a more responsible approach. As a result, these educational programs should be tailored to these individuals, with a greater emphasis on the risks associated with overconsumption.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85360297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to forecast stock prices based on economic indicators, many studies have been conducted using well-known statistical methods. Meanwhile, since ~2010 as the power of computers improved, new methods of machine learning began to be used. It would be interesting to know how those algorithms using a variety of mathematical and statistical methods, are able to predict the stock market. The purpose of this article is to model the monthly price of the S&P 500 index based on U.S. economic indicators using statistical, machine learning, deep learning approaches and finally compare metrics of those models. After the selection of indicators according to the data visualization, multicollinearity tests, statistical significance tests, 3 out of 27 indicators remained. The main finding of the research is that the authors improved the baseline statistical linear regression model by 19 percent using a ML Random Forest algorithm. In this way, model achieved accuracy 97.68% of prediction S&P 500 index.
{"title":"Modelling of S&P 500 Index Price Based on U.S. Economic Indicators: Machine Learning Approach","authors":"Ligita Gasparėnienė, Rita Remeikienė, Aleksejus Sosidko, Vigita Vėbraitė","doi":"10.5755/j01.ee.32.4.27985","DOIUrl":"https://doi.org/10.5755/j01.ee.32.4.27985","url":null,"abstract":"In order to forecast stock prices based on economic indicators, many studies have been conducted using well-known statistical methods. Meanwhile, since ~2010 as the power of computers improved, new methods of machine learning began to be used. It would be interesting to know how those algorithms using a variety of mathematical and statistical methods, are able to predict the stock market. The purpose of this article is to model the monthly price of the S&P 500 index based on U.S. economic indicators using statistical, machine learning, deep learning approaches and finally compare metrics of those models. After the selection of indicators according to the data visualization, multicollinearity tests, statistical significance tests, 3 out of 27 indicators remained. The main finding of the research is that the authors improved the baseline statistical linear regression model by 19 percent using a ML Random Forest algorithm. In this way, model achieved accuracy 97.68% of prediction S&P 500 index.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74882521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.5755/j01.ee.32.3.28360
Maria Rybaczewska, L. Sulkowski, Y. Bilan
Covid-19 brought the new reality into every-day life, global economy, and various sectors, including independent convenience stores. After the first and during the second wave of Coronavirus in the United Kingdom (mid-November 2020), the overall situation was very dynamic and turbulent. This paper is thus aimed at answering the question how the independent convenience stores sector in the United Kingdom functions in the Covid-19 reality. We analyse such issues as the recession phase in the global economy, and challenges the independent convenience stores sector in the UK faces, including the changing aspects of the consumer shopping behaviour. We identify the changes in the footfall, basket spend, sale, product categories, etc. Finally, we conclude that the convenience store sector in the UK is relatively resistant to Covid-19 pandemic and emphasise the most challenging consumer behaviour aspects in the middle of the Covid-19 pandemic.
{"title":"Covid-19 Pandemic and Independent Convenience Stores in the United Kingdom","authors":"Maria Rybaczewska, L. Sulkowski, Y. Bilan","doi":"10.5755/j01.ee.32.3.28360","DOIUrl":"https://doi.org/10.5755/j01.ee.32.3.28360","url":null,"abstract":"Covid-19 brought the new reality into every-day life, global economy, and various sectors, including independent convenience stores. After the first and during the second wave of Coronavirus in the United Kingdom (mid-November 2020), the overall situation was very dynamic and turbulent. This paper is thus aimed at answering the question how the independent convenience stores sector in the United Kingdom functions in the Covid-19 reality. We analyse such issues as the recession phase in the global economy, and challenges the independent convenience stores sector in the UK faces, including the changing aspects of the consumer shopping behaviour. We identify the changes in the footfall, basket spend, sale, product categories, etc. Finally, we conclude that the convenience store sector in the UK is relatively resistant to Covid-19 pandemic and emphasise the most challenging consumer behaviour aspects in the middle of the Covid-19 pandemic.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86273404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.5755/j01.ee.31.2.25956
Jesús Arteaga-Ortiz, Nemanja Berber, Mindaugas Butkus Lector, Paulo Sergio Ceretta, Daniel Arruda, F. Ferreira, Gyula Fülöp, Marjan S. Jalali, Ronald Ravinesh, Yaya Li, Yongli Li, Antonio Mihi-Ramírez, Marcelo Brutti
Information About Article Authors
文章作者信息
{"title":"Information about article authors","authors":"Jesús Arteaga-Ortiz, Nemanja Berber, Mindaugas Butkus Lector, Paulo Sergio Ceretta, Daniel Arruda, F. Ferreira, Gyula Fülöp, Marjan S. Jalali, Ronald Ravinesh, Yaya Li, Yongli Li, Antonio Mihi-Ramírez, Marcelo Brutti","doi":"10.5755/j01.ee.31.2.25956","DOIUrl":"https://doi.org/10.5755/j01.ee.31.2.25956","url":null,"abstract":"Information About Article Authors","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72902777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.5755/j01.ee.31.2.25957
Author
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发表文章的要求
{"title":"Requirements for the Article to be Published","authors":"Author","doi":"10.5755/j01.ee.31.2.25957","DOIUrl":"https://doi.org/10.5755/j01.ee.31.2.25957","url":null,"abstract":"Requirements for the Article to be Published","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82472289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.5755/j01.ee.31.2.24603
M. Kędzior, M. Cygańska, D. Syrrakos
The paper examines the determinants of voluntary International Financial Reporting Standards (IFRS) adoption in Poland. In doing so, it empirically confirms the impact of diverse CEO and supervisory board characteristics on voluntary IFRS adoption. The paper focuses on 446 publicly traded production companies from Poland. The analysis is based on logistic regression analysis. The empirical investigation confirms the impact on voluntary IFRS adoption of such factors as company size, international investors, international supervisory board, number of supervisory board members, CEO nationality. The paper contributes to the assessment of voluntary IFRS adoption determinants, by presenting for the first time CEO and supervisory board characteristics and their impact on voluntary International Financial Reporting Standards (IFRS) adoption, and the determinants of IFRS adoption from Central and Eastern Europe. The paper enhances existing knowledge of voluntary IFRS adoption by incorporating new CEO and supervisory board characteristics, thus closing a gap in the relevant literature. The results of the paper are significant from the supervisor’s perspective, the quality of financial statements and the effectiveness of corporate governance systems.
{"title":"Determinants of Voluntary International Financial Reporting Standards Adoption in Poland","authors":"M. Kędzior, M. Cygańska, D. Syrrakos","doi":"10.5755/j01.ee.31.2.24603","DOIUrl":"https://doi.org/10.5755/j01.ee.31.2.24603","url":null,"abstract":"The paper examines the determinants of voluntary International Financial Reporting Standards (IFRS) adoption in Poland. In doing so, it empirically confirms the impact of diverse CEO and supervisory board characteristics on voluntary IFRS adoption. The paper focuses on 446 publicly traded production companies from Poland. The analysis is based on logistic regression analysis. The empirical investigation confirms the impact on voluntary IFRS adoption of such factors as company size, international investors, international supervisory board, number of supervisory board members, CEO nationality. The paper contributes to the assessment of voluntary IFRS adoption determinants, by presenting for the first time CEO and supervisory board characteristics and their impact on voluntary International Financial Reporting Standards (IFRS) adoption, and the determinants of IFRS adoption from Central and Eastern Europe. The paper enhances existing knowledge of voluntary IFRS adoption by incorporating new CEO and supervisory board characteristics, thus closing a gap in the relevant literature. The results of the paper are significant from the supervisor’s perspective, the quality of financial statements and the effectiveness of corporate governance systems.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84130719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.5755/j01.ee.31.2.24609
Martin M. Bojaj, Gordana Djurovic
The objective of this paper is to investigate and forecast the determinants of Montenegrin inflation empirically, using forecast combination methods, from January 2006 to December 2016, and out-of-sample 12-month horizon forecasting from January 2017 to December 2017. The main research problem is that given the struggle policymakers have had to define proper criteria to diagnose the onset of inflation indicators, we felt compelled to identify an approach and methodology that the government of Montenegro can use in the threshold to accessing the European Union. We examine three individual-predictor SVAR models to forecast inflation. Model 1 examines the internal determinants of inflation. Model 2 relates to demand-pull and cost-push variables. Model 3 examines external determinants. Combining the above three forecasts, we disclose two more RMSEs: equal and inverse MSE weights. Model 1 predicts inflation at 1.3%, the inverse MSE at 1.5%, and the weighted average at 1.4%. They show forecasting performances that are sustainable and average inflation not more than 1.5% above the rate of the three best performing Member states: Cyprus (0.2%), Ireland (0.3%), and Finland (0.8%) over the 12 months covering April 2017-March 2018. Our findings allow the policymakers to understand the factors involved in identifying the onset of inflation dynamics and inflation expectations in Montenegro better and develop more effective government regulations that can be employed nationally. In so doing, this research advances and recommends the toolset needed, combining forecasts, to combat the concerns of many macroprudential policymakers in Montenegro, especially the Central Bank of Montenegro.
{"title":"Forecasting Inflation: A Combination Approach","authors":"Martin M. Bojaj, Gordana Djurovic","doi":"10.5755/j01.ee.31.2.24609","DOIUrl":"https://doi.org/10.5755/j01.ee.31.2.24609","url":null,"abstract":"The objective of this paper is to investigate and forecast the determinants of Montenegrin inflation empirically, using forecast combination methods, from January 2006 to December 2016, and out-of-sample 12-month horizon forecasting from January 2017 to December 2017. The main research problem is that given the struggle policymakers have had to define proper criteria to diagnose the onset of inflation indicators, we felt compelled to identify an approach and methodology that the government of Montenegro can use in the threshold to accessing the European Union. We examine three individual-predictor SVAR models to forecast inflation. Model 1 examines the internal determinants of inflation. Model 2 relates to demand-pull and cost-push variables. Model 3 examines external determinants. Combining the above three forecasts, we disclose two more RMSEs: equal and inverse MSE weights. Model 1 predicts inflation at 1.3%, the inverse MSE at 1.5%, and the weighted average at 1.4%. They show forecasting performances that are sustainable and average inflation not more than 1.5% above the rate of the three best performing Member states: Cyprus (0.2%), Ireland (0.3%), and Finland (0.8%) over the 12 months covering April 2017-March 2018. Our findings allow the policymakers to understand the factors involved in identifying the onset of inflation dynamics and inflation expectations in Montenegro better and develop more effective government regulations that can be employed nationally. In so doing, this research advances and recommends the toolset needed, combining forecasts, to combat the concerns of many macroprudential policymakers in Montenegro, especially the Central Bank of Montenegro.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90221758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.5755/j01.ee.30.4.24550
Vytautas Grušas, Simanavičienė Aušra
Requirements for the Article to be Published
发表文章的要求
{"title":"Requirements for the Article to be Published","authors":"Vytautas Grušas, Simanavičienė Aušra","doi":"10.5755/j01.ee.30.4.24550","DOIUrl":"https://doi.org/10.5755/j01.ee.30.4.24550","url":null,"abstract":"Requirements for the Article to be Published","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78122978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-30DOI: 10.5755/j01.ee.30.4.16379
F. Taghavi, J. Antuchevičienė, Seyyed Aria Yaghobian
Regarding existing pressures for effectiveness and performance improvement, there is a steep rise for the establishment of Enterprise Resource Planning (ERP). Unfortunately, failure rate for successful ERP establishment is high. Thereupon, evaluation of organizations’ preparedness to ensure organizational capabilities aimed at reaching desired outcomes is of paramount importance. The current research is intended to suggest Step-wise Weight Assessment Ractio Analysis (SWARA) method and assess the preparedness of our case study, i.e. the University of Mazandaran, for successful ERP implementation. Related factors impacting on the accomplishment of the ERP system were identified from former studies and weighted according to a hierarchical structure using our suggested methodology. After receiving numerical results, the preparedness of the University of Mazandaran for successful ERP implementation was calculated when the final weights were determined. Results showed that motivations required for ERP establishment as well as processes and IT infrastructures are average, while the influencing cultural factors, protective factors, and capabilities of the organization are weak.
{"title":"Assessment of Universities’ and Higher Education Centers’ Preparedness for Successful Establishment of Enterprise Resource Planning Based on SWARA Method","authors":"F. Taghavi, J. Antuchevičienė, Seyyed Aria Yaghobian","doi":"10.5755/j01.ee.30.4.16379","DOIUrl":"https://doi.org/10.5755/j01.ee.30.4.16379","url":null,"abstract":"Regarding existing pressures for effectiveness and performance improvement, there is a steep rise for the establishment of Enterprise Resource Planning (ERP). Unfortunately, failure rate for successful ERP establishment is high. Thereupon, evaluation of organizations’ preparedness to ensure organizational capabilities aimed at reaching desired outcomes is of paramount importance. The current research is intended to suggest Step-wise Weight Assessment Ractio Analysis (SWARA) method and assess the preparedness of our case study, i.e. the University of Mazandaran, for successful ERP implementation. Related factors impacting on the accomplishment of the ERP system were identified from former studies and weighted according to a hierarchical structure using our suggested methodology. After receiving numerical results, the preparedness of the University of Mazandaran for successful ERP implementation was calculated when the final weights were determined. Results showed that motivations required for ERP establishment as well as processes and IT infrastructures are average, while the influencing cultural factors, protective factors, and capabilities of the organization are weak.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80126190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-30DOI: 10.5755/j01.ee.30.4.19291
M. M. Kasim, Razamin Ramli, Md. Azizul Baten, J. Jamil, Mushtaq Taleb
The stability of the economic system of a country very much depends on its banking industry. Data Envelopment Analysis (DEA) has been applied widely for measuring efficiency of banks. Limited studies, however, have employed the radial and non-radial DEA models to evaluate efficiency of banks without considering the ranking of the fully efficient banks since those banks have the same efficiency score. Considering the weakness of the radial and non-radial DEA, this paper aims to calculate the banks efficiency of nine commercial banks in Malaysia from 2004 to 2013 by adopting the two-stage of super efficiency slack-based measure (SE-SBM) model. This model can discriminate between the efficient banks and recalculate their efficiency scores. Then, the selected banks were able to be ranked according to their final efficiency scores. Moreover, comparative analyses of the efficiency of the banks and the year-wise efficiency of the selected banks were also conducted. The methodology consists of two stages. In the first stage the SBM model is run to classify efficient and inefficient banks. In the second stage the super efficiency model is run to rank the efficient banks obtained from the first stage by calculating their super efficiency scores. Our empirical results show that: (1) the efficiency status of the banks fluctuated over the examined period, the high number of the efficient banks is achieved in the years 2006 and 2008, while the year 2012 has the lowest number of the efficient banks. (2) the ranking of the banks fluctuated in the studied period. (3) most of the banks are inefficient in terms of their average efficiency scores. This paper has two limitations. First, the paper did not integrate undesirable output, despite it deals with non-interest income. Second, performance evaluation of Malaysian commercial banks was only compared among the Malaysian banks.
{"title":"Efficiency of banks in Malaysia: A super efficiency approach","authors":"M. M. Kasim, Razamin Ramli, Md. Azizul Baten, J. Jamil, Mushtaq Taleb","doi":"10.5755/j01.ee.30.4.19291","DOIUrl":"https://doi.org/10.5755/j01.ee.30.4.19291","url":null,"abstract":"The stability of the economic system of a country very much depends on its banking industry. Data Envelopment Analysis (DEA) has been applied widely for measuring efficiency of banks. Limited studies, however, have employed the radial and non-radial DEA models to evaluate efficiency of banks without considering the ranking of the fully efficient banks since those banks have the same efficiency score. Considering the weakness of the radial and non-radial DEA, this paper aims to calculate the banks efficiency of nine commercial banks in Malaysia from 2004 to 2013 by adopting the two-stage of super efficiency slack-based measure (SE-SBM) model. This model can discriminate between the efficient banks and recalculate their efficiency scores. Then, the selected banks were able to be ranked according to their final efficiency scores. Moreover, comparative analyses of the efficiency of the banks and the year-wise efficiency of the selected banks were also conducted. The methodology consists of two stages. In the first stage the SBM model is run to classify efficient and inefficient banks. In the second stage the super efficiency model is run to rank the efficient banks obtained from the first stage by calculating their super efficiency scores. Our empirical results show that: (1) the efficiency status of the banks fluctuated over the examined period, the high number of the efficient banks is achieved in the years 2006 and 2008, while the year 2012 has the lowest number of the efficient banks. (2) the ranking of the banks fluctuated in the studied period. (3) most of the banks are inefficient in terms of their average efficiency scores. This paper has two limitations. First, the paper did not integrate undesirable output, despite it deals with non-interest income. Second, performance evaluation of Malaysian commercial banks was only compared among the Malaysian banks.","PeriodicalId":46830,"journal":{"name":"Inzinerine Ekonomika-Engineering Economics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85350536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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