This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the multiple equivalent paths for different factors that jointly produce TSC. The sample of this study involves 32 countries, and the research framework is constructed from the technological, organizational, and environmental aspects of the phenomenon. The fsQCA method was used to demonstrate the asymmetric relationship between cause and effect. The results indicate four configuration paths but no necessary conditions leading to TSC. Academic research intensity and market size play vital roles in developing TSC. Some logically complementary relationships exist between organizational participation, technological innovation ability, and international competitive pressure. These findings are helpful for policymakers in their formulation of artificial intelligence– related strategies.
{"title":"EXPLORING THE FORMATION MECHANISM OF TECHNOLOGY STANDARD COMPETITIVENESS IN ARTIFICIAL INTELLIGENCE INDUSTRY: A FUZZY-SET QUALITATIVE COMPARATIVE ANALYSIS","authors":"Siwei Liu, Lijun Zhou, Jing Yang","doi":"10.3846/jbem.2023.18845","DOIUrl":"https://doi.org/10.3846/jbem.2023.18845","url":null,"abstract":"This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the multiple equivalent paths for different factors that jointly produce TSC. The sample of this study involves 32 countries, and the research framework is constructed from the technological, organizational, and environmental aspects of the phenomenon. The fsQCA method was used to demonstrate the asymmetric relationship between cause and effect. The results indicate four configuration paths but no necessary conditions leading to TSC. Academic research intensity and market size play vital roles in developing TSC. Some logically complementary relationships exist between organizational participation, technological innovation ability, and international competitive pressure. These findings are helpful for policymakers in their formulation of artificial intelligence– related strategies.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"14 4‐6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135392492","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}
Increasing the incidence of work out of company office (WOCO) by transforming it from a more limited and circumstantial practice into a predominant work option requires a special attention of social partners and political decision-makers in order to harmonize economic and social performances. The aim of this research is to evaluate the effects of WOCO from the economic perspective – resources allocation and performance, developing the previous studies through the approach of the broad area of WOCO, extending the analysis at the microeconomic and macroeconomic level, in order to harmonize the objectives of sustainable economic growth. Using bibliometric techniques, the 289 scientific publications from the Web of Science platform were analysed, highlighting the conceptual and intellectual structure of the research, in the field. The research themes related to economic topic consist of: the degree of employment, technology and digital infrastructure development, economic performance and productivity, and carrying out economic activities from the perspective of WOCO. The results of this broad-spectrum research reveal a holistic view of the network, constituting a relevant reference to develop a comprehensive understanding of the impact of WOCO, useful to researchers, managers, and regulatory bodies, and identifying the potential research gaps and future research direction.
增加公司办公室外工作(WOCO)的发生率，将其从一种更有限和间接的做法转变为一种主要的工作选择，需要社会伙伴和政治决策者特别注意，以便协调经济和社会绩效。本研究旨在从资源配置与绩效的经济学视角来评价WOCO的效果，通过WOCO广阔领域的研究方法来发展以往的研究，扩展微观和宏观层面的分析，以协调经济可持续增长的目标。利用文献计量学技术，对来自Web of Science平台的289份科学出版物进行了分析，突出了该领域研究的概念和知识结构。与经济主题相关的研究主题包括:就业程度，技术和数字基础设施发展，经济绩效和生产力，以及从WOCO的角度开展经济活动。这项广谱研究的结果揭示了网络的整体观点，为全面了解WOCO的影响提供了相关参考，对研究人员、管理人员和监管机构有用，并确定了潜在的研究差距和未来的研究方向。
{"title":"EXPLORING ECONOMIC EFFECTS OF WORK OUT OF COMPANY OFFICE BASED ON BIBLIOMETRIC ANALYSIS","authors":"Monica Aureliana Petcu, Irina Daniela Cișmașu","doi":"10.3846/jbem.2023.20247","DOIUrl":"https://doi.org/10.3846/jbem.2023.20247","url":null,"abstract":"Increasing the incidence of work out of company office (WOCO) by transforming it from a more limited and circumstantial practice into a predominant work option requires a special attention of social partners and political decision-makers in order to harmonize economic and social performances. The aim of this research is to evaluate the effects of WOCO from the economic perspective – resources allocation and performance, developing the previous studies through the approach of the broad area of WOCO, extending the analysis at the microeconomic and macroeconomic level, in order to harmonize the objectives of sustainable economic growth. Using bibliometric techniques, the 289 scientific publications from the Web of Science platform were analysed, highlighting the conceptual and intellectual structure of the research, in the field. The research themes related to economic topic consist of: the degree of employment, technology and digital infrastructure development, economic performance and productivity, and carrying out economic activities from the perspective of WOCO. The results of this broad-spectrum research reveal a holistic view of the network, constituting a relevant reference to develop a comprehensive understanding of the impact of WOCO, useful to researchers, managers, and regulatory bodies, and identifying the potential research gaps and future research direction.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"2 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393302","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}
Emilio Ruzo-Sanmartín, Alaa A. Abousamra, Carmen Otero-Neira, Göran Svensson
The present paper aims to assess both the direct as well as the indirect effects of internal enablers on internal integration and business performance in the supply chain. A full managerial comprehension of the connection between supply chain integration (SCI) and business performance is missing so far and earlier results are inconclusive. To fill this gap, this study expands the growing body of research on SCI and contributes to the SCM field by explaining the direct and indirect effects of internal enablers on internal integration and business performance. Results show that hierarchical organizational culture influences internal integration and supply chain performance, that top management support and information technology department size influence internal integration, and, finally, that supply chain performance impacts operational performance. These findings confirm the relevance for firms to pay attention to those key internal enablers of internal integration, and their benefits on business performance. Considering our results, future research should deepen on the influence of internal integration on business performance by focusing on the links between internal integration and the other dimensions of SCI, that is supplier and customer integration, as well as with the external side of the supply chain performance.
{"title":"THE DIRECT AND INDIRECT EFFECTS OF INTERNAL ENABLERS ON INTERNAL INTEGRATION AND BUSINESS PERFORMANCE","authors":"Emilio Ruzo-Sanmartín, Alaa A. Abousamra, Carmen Otero-Neira, Göran Svensson","doi":"10.3846/jbem.2023.20115","DOIUrl":"https://doi.org/10.3846/jbem.2023.20115","url":null,"abstract":"The present paper aims to assess both the direct as well as the indirect effects of internal enablers on internal integration and business performance in the supply chain. A full managerial comprehension of the connection between supply chain integration (SCI) and business performance is missing so far and earlier results are inconclusive. To fill this gap, this study expands the growing body of research on SCI and contributes to the SCM field by explaining the direct and indirect effects of internal enablers on internal integration and business performance. Results show that hierarchical organizational culture influences internal integration and supply chain performance, that top management support and information technology department size influence internal integration, and, finally, that supply chain performance impacts operational performance. These findings confirm the relevance for firms to pay attention to those key internal enablers of internal integration, and their benefits on business performance. Considering our results, future research should deepen on the influence of internal integration on business performance by focusing on the links between internal integration and the other dimensions of SCI, that is supplier and customer integration, as well as with the external side of the supply chain performance.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135884275","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}
Vytautas Dikčius, Karina Adomavičiūtė-Sakalauskė, Sigita Kiršė, Ignas Zimaitis
Although online stores operate internationally for an already long time, the impact of cultural differences on them only recently gained interest. The aim of this study is to assess the impact of cultural dimensions on loyalty to online stores. It is based on a systematic analysis of 10 core databases that included 3,557 articles published between 2000 and 2020. Using PRISMA steps, 116 articles, totalling around 56,000 respondents from 25 different countries across all continents, are included in the meta-analysis. The results extend theoretical knowledge by showing that uncertainty avoidance harms customer loyalty, while masculinity has a positive impact. Additionally, it is found that loyalty is lower in countries with a low level of long-term orientation and higher in countries with a high level of power distance or a low level of indulgence. Lastly, individualism has no impact on the level of loyalty. Theoretical and managerial implications are also presented.
{"title":"THE IMPACT OF CULTURAL DIMENSIONS ON ONLINE STORE LOYALTY","authors":"Vytautas Dikčius, Karina Adomavičiūtė-Sakalauskė, Sigita Kiršė, Ignas Zimaitis","doi":"10.3846/jbem.2023.19879","DOIUrl":"https://doi.org/10.3846/jbem.2023.19879","url":null,"abstract":"Although online stores operate internationally for an already long time, the impact of cultural differences on them only recently gained interest. The aim of this study is to assess the impact of cultural dimensions on loyalty to online stores. It is based on a systematic analysis of 10 core databases that included 3,557 articles published between 2000 and 2020. Using PRISMA steps, 116 articles, totalling around 56,000 respondents from 25 different countries across all continents, are included in the meta-analysis. The results extend theoretical knowledge by showing that uncertainty avoidance harms customer loyalty, while masculinity has a positive impact. Additionally, it is found that loyalty is lower in countries with a low level of long-term orientation and higher in countries with a high level of power distance or a low level of indulgence. Lastly, individualism has no impact on the level of loyalty. Theoretical and managerial implications are also presented.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344753","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}
Ștefan Cristian Gherghina, Seyed Mehdian, Ovidiu Stoica
The purpose of this study is to investigate the relationship between investor sentiment and leading equity market indices from the U.S., Europe, Asia, and globally between January 2020 and June 2022. The methodological approaches utilized are quantile regression and wavelet analysis. The results of quantile regression suggested that Google Search Volume (GSV) and Twitter-based Market Uncertainty Index (TMU) negatively influenced the equity indices at lower quantiles. The wavelet coherence analysis highlighted that, at lower frequency bands, GSV moves in sync with the S&P 500, NASDAQ Composite, Dow Jones Industrials, and FTSE 100 but not with the DAX, CAC 40, TOPIX, Nikkei 225, or MSCI. Nonetheless, when the TMU was used to measure investors’ sentiment, the results revealed that the whole series was out of phase.
{"title":"INVESTORS’ SENTIMENT AND EQUITY MARKETS DURING COVID-19 PERIOD: A QUANTILE REGRESSION APPROACH AND WAVELET ANALYSIS","authors":"Ștefan Cristian Gherghina, Seyed Mehdian, Ovidiu Stoica","doi":"10.3846/jbem.2023.19814","DOIUrl":"https://doi.org/10.3846/jbem.2023.19814","url":null,"abstract":"The purpose of this study is to investigate the relationship between investor sentiment and leading equity market indices from the U.S., Europe, Asia, and globally between January 2020 and June 2022. The methodological approaches utilized are quantile regression and wavelet analysis. The results of quantile regression suggested that Google Search Volume (GSV) and Twitter-based Market Uncertainty Index (TMU) negatively influenced the equity indices at lower quantiles. The wavelet coherence analysis highlighted that, at lower frequency bands, GSV moves in sync with the S&P 500, NASDAQ Composite, Dow Jones Industrials, and FTSE 100 but not with the DAX, CAC 40, TOPIX, Nikkei 225, or MSCI. Nonetheless, when the TMU was used to measure investors’ sentiment, the results revealed that the whole series was out of phase.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344881","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}
Digitalization has brought profound changes to enterprises. As the main decision maker of firm, manager has an important impact on the digital transformation of enterprises that cannot be ignored. Based on the perspective of managerial heterogeneity, we tested the impact of managerial ability on the digital transformation of enterprises in China context. The results showed that managerial ability has a significant positive impact on the digital transformation of enterprises, that is, the stronger the managerial ability, the higher digitalization of firm. The mechanism study confirmed that managerial ability can overcome strategic inertia and improve capital allocation efficiency, then promote digital transformation of firm. Further research showed that the younger the top management team, the more significant the positive effect is; Independent directors can provide resources and play a consulting role to promote the impact of managerial ability on the digital transformation of firm; The older the firm is, the stronger the organizational inertia is, which can impede the impact of managerial ability on the digital transformation of firm. This study enriches the literature about executives, and has a certain practical significance for digitalization implement of enterprises.
{"title":"RESEARCH ON THE IMPACT OF MANAGERIAL CAPABILITIES ON THE DIGITAL TRANSFORMATION OF ENTERPRISES","authors":"Jialin Fu, Nana Zhang, Fei Li","doi":"10.3846/jbem.2023.19915","DOIUrl":"https://doi.org/10.3846/jbem.2023.19915","url":null,"abstract":"Digitalization has brought profound changes to enterprises. As the main decision maker of firm, manager has an important impact on the digital transformation of enterprises that cannot be ignored. Based on the perspective of managerial heterogeneity, we tested the impact of managerial ability on the digital transformation of enterprises in China context. The results showed that managerial ability has a significant positive impact on the digital transformation of enterprises, that is, the stronger the managerial ability, the higher digitalization of firm. The mechanism study confirmed that managerial ability can overcome strategic inertia and improve capital allocation efficiency, then promote digital transformation of firm. Further research showed that the younger the top management team, the more significant the positive effect is; Independent directors can provide resources and play a consulting role to promote the impact of managerial ability on the digital transformation of firm; The older the firm is, the stronger the organizational inertia is, which can impede the impact of managerial ability on the digital transformation of firm. This study enriches the literature about executives, and has a certain practical significance for digitalization implement of enterprises.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135386617","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}
The development and availability of information technology and the possibility of deep integration of internal IT systems with external ones gives a powerful opportunity to analyze data online based on external data providers. Recently, machine learning algorithms play a significant role in predicting different processes. This research aims to apply several machine learning algorithms to predict high frequent daily hotel occupancy at a Chinese hotel. Five machine learning models (bagged CART, bagged MARS, XGBoost, random forest, SVM) were optimized and applied for predicting occupancy. All models are compared using different model accuracy measures and with an ARDL model chosen as a benchmark for comparison. It was found that the bagged CART model showed the most relevant results (R2 > 0.50) in all periods, but the model could not beat the traditional ARDL model. Thus, despite the original use of machine learning algorithms in solving regression tasks, the models used in this research could have been more effective than the benchmark model. In addition, the variables’ importance was used to check the hypothesis that the Baidu search index and its components can be used in machine learning models to predict hotel occupancy.
{"title":"APPLICATION OF MACHINE LEARNING ALGORITHMS TO PREDICT HOTEL OCCUPANCY","authors":"Konstantins Kozlovskis, Yuanyuan Liu, Natalja Lace, Yun Meng","doi":"10.3846/jbem.2023.19775","DOIUrl":"https://doi.org/10.3846/jbem.2023.19775","url":null,"abstract":"The development and availability of information technology and the possibility of deep integration of internal IT systems with external ones gives a powerful opportunity to analyze data online based on external data providers. Recently, machine learning algorithms play a significant role in predicting different processes. This research aims to apply several machine learning algorithms to predict high frequent daily hotel occupancy at a Chinese hotel. Five machine learning models (bagged CART, bagged MARS, XGBoost, random forest, SVM) were optimized and applied for predicting occupancy. All models are compared using different model accuracy measures and with an ARDL model chosen as a benchmark for comparison. It was found that the bagged CART model showed the most relevant results (R2 > 0.50) in all periods, but the model could not beat the traditional ARDL model. Thus, despite the original use of machine learning algorithms in solving regression tasks, the models used in this research could have been more effective than the benchmark model. In addition, the variables’ importance was used to check the hypothesis that the Baidu search index and its components can be used in machine learning models to predict hotel occupancy.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135386381","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}
Rasa Bruzgė, Jurgita Černevičienė, Alfreda Šapkauskienė, Aida Mačerinskienė, S. Masteika, Kęstutis Driaunys
This study explores the stylized facts, volatility clustering, other highly irregular behaviour, and risk measures of cryptocurrencies’ returns. By analysing bitcoin, ripple, and ethereum daily data we establish evidence of strong dependencies among analysed cryptocurrencies. This paper provides new insights about cryptocurrency behaviour and the main measures of risk and detailed comparative analysis with tech-stocks. Comprehensive research on stylized facts confirmed high risk for both cryptocurrencies and tech-stocks with cryptocurrencies being even riskier. Empirical research findings are useful in developing dependence and risk strategies for investment and hedging purposes, especially during more volatile periods in the markets as there was confirmed existence of volatility clusters when high volatility periods are followed by low volatility periods. Sensitivity analysis and measures of Value-at-Risk (VaR) and Expected Shortfall (ES) show the amount of losses investors can expect in the worst case scenario. Our results confirm the existence of predictability, volatility clustering, and possibilities for arbitrage opportunities. Findings could be beneficial for investors and policymakers as well as for scientific purposes as findings give us a better understanding of the behaviour of cryptocurrencies.
{"title":"STYLIZED FACTS, VOLATILITY DYNAMICS AND RISK MEASURES OF CRYPTOCURRENCIES","authors":"Rasa Bruzgė, Jurgita Černevičienė, Alfreda Šapkauskienė, Aida Mačerinskienė, S. Masteika, Kęstutis Driaunys","doi":"10.3846/jbem.2023.19118","DOIUrl":"https://doi.org/10.3846/jbem.2023.19118","url":null,"abstract":"This study explores the stylized facts, volatility clustering, other highly irregular behaviour, and risk measures of cryptocurrencies’ returns. By analysing bitcoin, ripple, and ethereum daily data we establish evidence of strong dependencies among analysed cryptocurrencies. This paper provides new insights about cryptocurrency behaviour and the main measures of risk and detailed comparative analysis with tech-stocks. Comprehensive research on stylized facts confirmed high risk for both cryptocurrencies and tech-stocks with cryptocurrencies being even riskier. Empirical research findings are useful in developing dependence and risk strategies for investment and hedging purposes, especially during more volatile periods in the markets as there was confirmed existence of volatility clusters when high volatility periods are followed by low volatility periods. Sensitivity analysis and measures of Value-at-Risk (VaR) and Expected Shortfall (ES) show the amount of losses investors can expect in the worst case scenario. Our results confirm the existence of predictability, volatility clustering, and possibilities for arbitrage opportunities. Findings could be beneficial for investors and policymakers as well as for scientific purposes as findings give us a better understanding of the behaviour of cryptocurrencies.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"41 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87569971","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}
Karolina Krisciukaityte, T. Baležentis, D. Štreimikienė
Efficiency generally translates to better financial performance and profitability and, thus, is often taken into account when analyzing activity of the banking sector. The sustainability approach adds social and environmental effects to the economic ones. Even though there have been studies on the different facets of the sustainable banking and its dimensions, it is important to discuss the integration of the sustainability concept with banking efficiency and financial performance measures. The objective of this research is to identify the prevailing indicators of sustainable banking in the presence of considerations on bank financial performance and efficiency. Such indicators can be used in multiple frameworks directed towards specific goals. Therefore, this paper also discusses the notions of the sustainable banking alongside the used methods used to handle the sustainability indicators. Thus, this paper presents the comprehensive review of sustainable banking linked to financial performance and efficiency, where indicators, and methods are analyzed in an integrated manner.
{"title":"LINKING FINANCIAL PERFORMANCE AND EFFICIENCY TO SUSTAINABILITY IN BANKING SECTOR: A LITERATURE SYNTHESIS","authors":"Karolina Krisciukaityte, T. Baležentis, D. Štreimikienė","doi":"10.3846/jbem.2023.19462","DOIUrl":"https://doi.org/10.3846/jbem.2023.19462","url":null,"abstract":"Efficiency generally translates to better financial performance and profitability and, thus, is often taken into account when analyzing activity of the banking sector. The sustainability approach adds social and environmental effects to the economic ones. Even though there have been studies on the different facets of the sustainable banking and its dimensions, it is important to discuss the integration of the sustainability concept with banking efficiency and financial performance measures. The objective of this research is to identify the prevailing indicators of sustainable banking in the presence of considerations on bank financial performance and efficiency. Such indicators can be used in multiple frameworks directed towards specific goals. Therefore, this paper also discusses the notions of the sustainable banking alongside the used methods used to handle the sustainability indicators. Thus, this paper presents the comprehensive review of sustainable banking linked to financial performance and efficiency, where indicators, and methods are analyzed in an integrated manner.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"32 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90495613","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 the current era, technological advancement has completely changed many facets of our daily lives, such as the workplace, where modern-day companies are compelled to take proactive actions. Employees face the same challenges by shifting their practices from conventional to more innovative ones. This study explores Generation Z and Millennials‘ receptivity to technological advancement and how it impacts their personal and professional lives. By exploring four personalitybased characteristics – optimism, innovation, discomfort, and insecurity – this study develops clear pathways from the perspective of Romanian younger employees. The proposed research hypotheses were tested with a sample of 399 employees, and quantitative data analysis was carried out using partial least squares structural equation modelling. Our findings are expected to provide employers, human resource managers, recruiters, and policymakers with new insights that enable them to develop methods, strategies, policies, and measures tailored to the mentality and behavioural patterns of these specific target groups.
{"title":"THE RECEPTIVITY OF YOUNGER GENERATION ROMANIAN EMPLOYEES TO NEW TECHNOLOGY IMPLEMENTATION AND ITS IMPACT ON THE BALANCE BETWEEN WORK AND LIFE","authors":"V. A. Trifan, Mioara Florina Pantea","doi":"10.3846/jbem.2023.19500","DOIUrl":"https://doi.org/10.3846/jbem.2023.19500","url":null,"abstract":"In the current era, technological advancement has completely changed many facets of our daily lives, such as the workplace, where modern-day companies are compelled to take proactive actions. Employees face the same challenges by shifting their practices from conventional to more innovative ones. This study explores Generation Z and Millennials‘ receptivity to technological advancement and how it impacts their personal and professional lives. By exploring four personalitybased characteristics – optimism, innovation, discomfort, and insecurity – this study develops clear pathways from the perspective of Romanian younger employees. The proposed research hypotheses were tested with a sample of 399 employees, and quantitative data analysis was carried out using partial least squares structural equation modelling. Our findings are expected to provide employers, human resource managers, recruiters, and policymakers with new insights that enable them to develop methods, strategies, policies, and measures tailored to the mentality and behavioural patterns of these specific target groups.","PeriodicalId":47594,"journal":{"name":"Journal of Business Economics and Management","volume":"14 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84327858","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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