Banji Rildwan Olaleye, J. Lekunze, Folasade Funmi Olorunsola
With an emphasis on the mediating role of relational psychological contracts, this study sets out to investigate the structural connection between perceived organizational support (POS), service quality (SERVQ), and customer satisfaction (CS). Using descriptive and inferential statistics, we tested the heuristic model for the relationship using data from 394 clients at selected banks in Nigeria. It was found that both perceived organizational support and service quality significantly affected customer satisfaction, with the former serving as a predictor of the latter. In addition, a positive and statistically significant influence of the relational psychological contract was found in the connection between “POS” and CS, and perceived organizational support and SERVQ. In addition, it was determined that banks must maintain all required standards in gaining customers by continually providing a higher degree of service to keep clients satisfied. The structural nexus between the identified variables stood out as a novel idea with a heuristic model depicted for business practitioners and society’s opportunities.
{"title":"Exploring the Link Between Customer Satisfaction, Service Quality, and Perceived Organizational Support: The Mediating Role of Relational Psychological Contract","authors":"Banji Rildwan Olaleye, J. Lekunze, Folasade Funmi Olorunsola","doi":"10.2478/sues-2024-0013","DOIUrl":"https://doi.org/10.2478/sues-2024-0013","url":null,"abstract":"\u0000 With an emphasis on the mediating role of relational psychological contracts, this study sets out to investigate the structural connection between perceived organizational support (POS), service quality (SERVQ), and customer satisfaction (CS). Using descriptive and inferential statistics, we tested the heuristic model for the relationship using data from 394 clients at selected banks in Nigeria. It was found that both perceived organizational support and service quality significantly affected customer satisfaction, with the former serving as a predictor of the latter. In addition, a positive and statistically significant influence of the relational psychological contract was found in the connection between “POS” and CS, and perceived organizational support and SERVQ. In addition, it was determined that banks must maintain all required standards in gaining customers by continually providing a higher degree of service to keep clients satisfied. The structural nexus between the identified variables stood out as a novel idea with a heuristic model depicted for business practitioners and society’s opportunities.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"57 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652033","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}
The automotive industry is widely considered to be crucial for the economy, as it reflects economic development in general. Despite interest in financial performance, few studies have considered paying attention to the ownership structure among stockholders. Hence, the study aims to find out how the degree of ownership concentration, measured through the independence indicator of the Bureau van Dijk, is reflected in the financial management of companies in the automotive industry among selected European countries. The generalized method of moments (GMM) technique is widely used while investigating panel data with a short estimating period, i.e. nine years annually in this case. However, this study reveals that, without deploying techniques, subsequently introduced a modified version of GMM estimators with panel data by providing an implementation using Stata statistical software. Otherwise, these particular econometric tools to analyze a dynamic panel can often give false significant estimates. Overall, liquidity seems to be significant in the case of firms with less concentrated ownership, whereas companies with a major owner are affected more by selected macroeconomic variables.
人们普遍认为汽车行业对经济至关重要，因为它反映了经济发展的总体情况。尽管人们对财务业绩很感兴趣，但很少有研究考虑关注股东之间的所有权结构。因此，本研究旨在找出通过 Bureau van Dijk 独立性指标衡量的所有权集中程度如何反映在选定欧洲国家汽车行业公司的财务管理中。广义矩量法（GMM）技术在研究估计期较短的面板数据时被广泛使用，在本案例中，估计期为 9 年。然而，本研究显示，在没有部署技术的情况下，随后通过提供使用 Stata 统计软件的实现方法，引入了面板数据 GMM 估计器的改进版本。否则，这些用于分析动态面板的特殊计量经济学工具往往会给出错误的重要估计值。总体而言，流动性似乎对所有权不那么集中的公司意义重大，而拥有主要所有者的公司受选定宏观经济变量的影响更大。
{"title":"Financial Performance Among Top10 Automotive Leaders in the EU: Essential Techniques to Investigate the Structure of Moments While Using the GMM with Dynamic Panel Data","authors":"Tomáš Heryán, Petra Růčková, Giovanni Cerulli","doi":"10.2478/sues-2024-0012","DOIUrl":"https://doi.org/10.2478/sues-2024-0012","url":null,"abstract":"\u0000 The automotive industry is widely considered to be crucial for the economy, as it reflects economic development in general. Despite interest in financial performance, few studies have considered paying attention to the ownership structure among stockholders. Hence, the study aims to find out how the degree of ownership concentration, measured through the independence indicator of the Bureau van Dijk, is reflected in the financial management of companies in the automotive industry among selected European countries. The generalized method of moments (GMM) technique is widely used while investigating panel data with a short estimating period, i.e. nine years annually in this case. However, this study reveals that, without deploying techniques, subsequently introduced a modified version of GMM estimators with panel data by providing an implementation using Stata statistical software. Otherwise, these particular econometric tools to analyze a dynamic panel can often give false significant estimates. Overall, liquidity seems to be significant in the case of firms with less concentrated ownership, whereas companies with a major owner are affected more by selected macroeconomic variables.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"69 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651497","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}
Murat Korkmaz, A. Yücel, H. Gümüşdağ, A. Aytaç, Ozan Düz
The research aims to analyze the differences between male and female employment in Turkey between 2007 and 2022. In this process, various variables are taken into account and the results are supported by TUIK (Turkish Statistical Institute) data. In this study, panel data of TUIK for the years 2007-2022 were used as the methodology. These data were analyzed using SPSS 22 and E-Views programs using Correlation, Anova, Independent Samples t test, Man-Whitney u test and Regression tests. At the end of the analysis, it was seen that there is a high degree of correlation between female and male employment and that there is a high level of difference in terms of employment in all female age groups. According to the regression analysis results, female employment grows by 0.28 units per year, while male employment grows by 0.11 units per year. This shows that female employment has been rising faster than male employment in recent years.
本研究旨在分析 2007 年至 2022 年土耳其男女就业情况的差异。在这一过程中，考虑了各种变量，研究结果得到了土耳其统计研究所（TUIK）数据的支持。本研究采用了土耳其统计研究所 2007-2022 年的面板数据作为研究方法。使用 SPSS 22 和 E-Views 程序对这些数据进行了分析，并使用了相关性、ANOVA、独立样本 t 检验、Man-Whitney u 检验和回归检验。分析结果表明，女性和男性就业之间存在高度相关性，所有女性年龄组在就业方面都存在很大差异。根据回归分析结果，女性就业每年增长 0.28 个单位，而男性就业每年增长 0.11 个单位。这表明近年来女性就业率的增长速度快于男性。
{"title":"Analysis of the Differences Between Female and Male Employment in Türkiye with Different Variables","authors":"Murat Korkmaz, A. Yücel, H. Gümüşdağ, A. Aytaç, Ozan Düz","doi":"10.2478/sues-2024-0011","DOIUrl":"https://doi.org/10.2478/sues-2024-0011","url":null,"abstract":"\u0000 The research aims to analyze the differences between male and female employment in Turkey between 2007 and 2022. In this process, various variables are taken into account and the results are supported by TUIK (Turkish Statistical Institute) data. In this study, panel data of TUIK for the years 2007-2022 were used as the methodology. These data were analyzed using SPSS 22 and E-Views programs using Correlation, Anova, Independent Samples t test, Man-Whitney u test and Regression tests. At the end of the analysis, it was seen that there is a high degree of correlation between female and male employment and that there is a high level of difference in terms of employment in all female age groups. According to the regression analysis results, female employment grows by 0.28 units per year, while male employment grows by 0.11 units per year. This shows that female employment has been rising faster than male employment in recent years.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"37 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651165","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}
Shainima Islam, Pramono Hari, S. Suliyanto, Refius P. Setyanto, Agus Suroso, K. Bahauddin, Nayma Iftakhar
The main goals of the study were to examine how transformational leadership affected organizational citizenship behavior, worker productivity, and employee job satisfaction in Indonesian Small- and Medium-Sized Enterprise (SME) settings. The study used a quantitative technique and included 295 people as samples. Since Indonesia is a multi-cultural nation, responses were gathered from employees in multiple cities. Data was gathered via online and print surveys and was then analyzed using SPSS 23 and Smart PLS Software. The findings of this study point to a clear, positive, and substantial relationship between transformational leadership and worker job satisfaction, organizational citizenship behavior, and work performance. Additionally, to job satisfaction and organizational citizenship, it has been shown that employee job performance is somewhat mediated by employee behavior. This is the first paper in the setting of Indonesian SMEs that looks at the impact of transformational leadership on employee job performance after job satisfaction and organizational citizenship behavior.
{"title":"Transformational Leadership in Indonesian Diversified-Cultural SME Sector: An Investigation of the Settlement Criteria of Job Performance","authors":"Shainima Islam, Pramono Hari, S. Suliyanto, Refius P. Setyanto, Agus Suroso, K. Bahauddin, Nayma Iftakhar","doi":"10.2478/sues-2024-0014","DOIUrl":"https://doi.org/10.2478/sues-2024-0014","url":null,"abstract":"\u0000 The main goals of the study were to examine how transformational leadership affected organizational citizenship behavior, worker productivity, and employee job satisfaction in Indonesian Small- and Medium-Sized Enterprise (SME) settings. The study used a quantitative technique and included 295 people as samples. Since Indonesia is a multi-cultural nation, responses were gathered from employees in multiple cities. Data was gathered via online and print surveys and was then analyzed using SPSS 23 and Smart PLS Software. The findings of this study point to a clear, positive, and substantial relationship between transformational leadership and worker job satisfaction, organizational citizenship behavior, and work performance. Additionally, to job satisfaction and organizational citizenship, it has been shown that employee job performance is somewhat mediated by employee behavior. This is the first paper in the setting of Indonesian SMEs that looks at the impact of transformational leadership on employee job performance after job satisfaction and organizational citizenship behavior.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"43 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650794","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}
The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.
{"title":"Economic Complexity as a Determinant of Green Development in the Central and Eastern European (CEE) Countries","authors":"Olimpia Neagu, M. Neagu","doi":"10.2478/sues-2024-0015","DOIUrl":"https://doi.org/10.2478/sues-2024-0015","url":null,"abstract":"\u0000 The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"43 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650795","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}
It is commonly accepted that the success and expansion of insurance companies’ underwriting operations, which is indicated by the premiums received from insurance policies, is reflected in their profitability rates. During the period of 2010 to 2021, Iraqi insurance companies in the private sector that are listed on the Iraq Stock Exchange experienced a fluctuation in the increase and noticeable decrease of gross written premiums, which had a negative impact on their profitability ratios. The aim of this investigation is to analyze the underwriting activities carried out by all insurance companies that are publicly listed on the Iraq Stock Exchange spanning from 2010 to 2021, and assess the impact of these activities on the companies’ profitability rates. To evaluate the profitability of these firms, three indicators are used, namely the rate of return on assets, return on equity, and profit margin ratio. The study employs Data Panel models using Eviews 12 to identify the research samples during the study period. Additionally, the pooled regression model is used to compare the findings and test the hypotheses of the study. In a structured manner, data is collected from the annual reports released by the Iraq Stock Exchange. The statistical examination of the findings reveals that the gross written premium has a significant and positive influence on all of the profitability ratios that were evaluated in this study, namely the rate of return on assets, return on equity, and profit margin ratio.
{"title":"Analysis of Underwriting Activity and its Impact on the Profitability Ratios of the Insurance Companies Listed in the Iraq Stock Exchange","authors":"Ahmed Khalaf Hussein Al-Zuhairi","doi":"10.2478/sues-2024-0006","DOIUrl":"https://doi.org/10.2478/sues-2024-0006","url":null,"abstract":"\u0000 It is commonly accepted that the success and expansion of insurance companies’ underwriting operations, which is indicated by the premiums received from insurance policies, is reflected in their profitability rates. During the period of 2010 to 2021, Iraqi insurance companies in the private sector that are listed on the Iraq Stock Exchange experienced a fluctuation in the increase and noticeable decrease of gross written premiums, which had a negative impact on their profitability ratios. The aim of this investigation is to analyze the underwriting activities carried out by all insurance companies that are publicly listed on the Iraq Stock Exchange spanning from 2010 to 2021, and assess the impact of these activities on the companies’ profitability rates. To evaluate the profitability of these firms, three indicators are used, namely the rate of return on assets, return on equity, and profit margin ratio. The study employs Data Panel models using Eviews 12 to identify the research samples during the study period. Additionally, the pooled regression model is used to compare the findings and test the hypotheses of the study. In a structured manner, data is collected from the annual reports released by the Iraq Stock Exchange. The statistical examination of the findings reveals that the gross written premium has a significant and positive influence on all of the profitability ratios that were evaluated in this study, namely the rate of return on assets, return on equity, and profit margin ratio.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"63 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140655491","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}
This paper analyzes the relationship between food and oil prices in Nigeria before and during the COVID-19 pandemic, using monthly data from January 2018 to December 2021. The ARDL and NARDL models are applied to estimate the symmetry and asymmetric relationship that exists in food price behavior. The NARDL confirms the presence of asymmetries, and the bound test affirms the co-integration and long-run relationship among the variables. In the long run, there is a significant positive relation between oil price increases and food prices, but the long-run impact of oil price reductions on food prices is not significant. In the short run, only increases in oil prices exert a significant influence on food prices, while decreases in oil prices do not. Furthermore, the COVID-19 period exerts a positive and significant impact on food prices, while COVID-19 cases do not influence food prices in Nigeria.
{"title":"Oil and Food Price Before and During COVID-19 Pandemic in Nigeria: A Non-Linear ARDL Approach","authors":"Muhammad-Bashir Owolabi Yusuf, Tunde Jibril Salau, Adams Adeiza","doi":"10.2478/sues-2024-0007","DOIUrl":"https://doi.org/10.2478/sues-2024-0007","url":null,"abstract":"\u0000 This paper analyzes the relationship between food and oil prices in Nigeria before and during the COVID-19 pandemic, using monthly data from January 2018 to December 2021. The ARDL and NARDL models are applied to estimate the symmetry and asymmetric relationship that exists in food price behavior. The NARDL confirms the presence of asymmetries, and the bound test affirms the co-integration and long-run relationship among the variables. In the long run, there is a significant positive relation between oil price increases and food prices, but the long-run impact of oil price reductions on food prices is not significant. In the short run, only increases in oil prices exert a significant influence on food prices, while decreases in oil prices do not. Furthermore, the COVID-19 period exerts a positive and significant impact on food prices, while COVID-19 cases do not influence food prices in Nigeria.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"24 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140658782","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}
Microfinance institutions (MFIs) provide support for the sustainability of livelihood and financial inclusion through social development. Micro-enterprises helps in empowering the communities especially marginalized section worldwide. The MFIs attempt to transform the lives of poor people, through different interventions. It revolved around the social development of marginalized people. In recent decades, microfinance played a vital role in alleviating poverty and involved empowering low-income earners socially and economically. The present study intended to highlight the role of MFIs located in Jabalpur (Madhya Pradesh) in enhancing the social and economic status of beneficiaries. This study also acknowledges the significance of MFIs in eradicating poverty, through financial services. In this research, questionnaire responses were gathered and analyzed from 150 beneficiaries of three MFIs (Credit Access Grameen, ESAF, and Fusion Micro-finance) in Jabalpur. The exploratory data analysis reveals diverse findings, regarding the impact of microfinance on the socio-economic conditions of beneficiaries through improving their savings, supporting the employment generation, and as a whole improving life standards as well as eradicating poverty. Alternatively, MFI programs also assist beneficiaries in employment generation, to a certain extent. The conclusion of the research prioritizes that MFI programs ought to be accelerated more by the Government through different schemes and can be easily accessed to even remote areas for economic expansion and social development of low-privileged people.
{"title":"An Empirical Assessment of Microfinance and its Associated Socio-Economic Development","authors":"Vishal Goel","doi":"10.2478/sues-2024-0010","DOIUrl":"https://doi.org/10.2478/sues-2024-0010","url":null,"abstract":"\u0000 Microfinance institutions (MFIs) provide support for the sustainability of livelihood and financial inclusion through social development. Micro-enterprises helps in empowering the communities especially marginalized section worldwide. The MFIs attempt to transform the lives of poor people, through different interventions. It revolved around the social development of marginalized people. In recent decades, microfinance played a vital role in alleviating poverty and involved empowering low-income earners socially and economically. The present study intended to highlight the role of MFIs located in Jabalpur (Madhya Pradesh) in enhancing the social and economic status of beneficiaries. This study also acknowledges the significance of MFIs in eradicating poverty, through financial services. In this research, questionnaire responses were gathered and analyzed from 150 beneficiaries of three MFIs (Credit Access Grameen, ESAF, and Fusion Micro-finance) in Jabalpur. The exploratory data analysis reveals diverse findings, regarding the impact of microfinance on the socio-economic conditions of beneficiaries through improving their savings, supporting the employment generation, and as a whole improving life standards as well as eradicating poverty. Alternatively, MFI programs also assist beneficiaries in employment generation, to a certain extent. The conclusion of the research prioritizes that MFI programs ought to be accelerated more by the Government through different schemes and can be easily accessed to even remote areas for economic expansion and social development of low-privileged people.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"50 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140656675","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}
The present research aims to analyze the effect of contextual factors affecting the application of artificial intelligence technology in employee recruitment in the furniture industry of Iran, which is a practical purpose and has been carried out in a descriptive-surveillance manner, to find out the reasons, facilitators and limitations of its use with the presented conceptual model. Make this technology understandable to organizations during employee recruitment. To measure and analyze the effect of these factors, a questionnaire was used as an information-gathering tool, which was given to 250 senior managers and middle managers of companies active in the furniture industry of Iran. The results of the analysis of the information obtained in two descriptive and inferential parts, according to the data analysis algorithm in the method of structural equations and Smart PLS software, confirmed the hypotheses of the research and showed that the effective background factors include: technological factors, organizational and environmental have a positive and significant effect on the use of Artificial intelligence in the furniture industry in Iran, and the use of artificial intelligence as a competitive advantage improves the organizational capabilities of recruitment and recruitment (based on data, process, staff) in the furniture industry. Forgives. Also, it makes it easier to carry out “blind” Recruitment of employees processes and review frequent applications, and by simplifying the application analysis process through applicant tracking systems, it can save time and money in human resources processes and reduce discrimination in choices.
{"title":"The Use of Artificial Intelligence in Employee Recruitment in the Furniture Industry of Iran According to the Role of Contextual Factors","authors":"Ardeshir Bazrkar, Mehrdad Moradzad, Shady Shayegan","doi":"10.2478/sues-2024-0009","DOIUrl":"https://doi.org/10.2478/sues-2024-0009","url":null,"abstract":"\u0000 The present research aims to analyze the effect of contextual factors affecting the application of artificial intelligence technology in employee recruitment in the furniture industry of Iran, which is a practical purpose and has been carried out in a descriptive-surveillance manner, to find out the reasons, facilitators and limitations of its use with the presented conceptual model. Make this technology understandable to organizations during employee recruitment. To measure and analyze the effect of these factors, a questionnaire was used as an information-gathering tool, which was given to 250 senior managers and middle managers of companies active in the furniture industry of Iran. The results of the analysis of the information obtained in two descriptive and inferential parts, according to the data analysis algorithm in the method of structural equations and Smart PLS software, confirmed the hypotheses of the research and showed that the effective background factors include: technological factors, organizational and environmental have a positive and significant effect on the use of Artificial intelligence in the furniture industry in Iran, and the use of artificial intelligence as a competitive advantage improves the organizational capabilities of recruitment and recruitment (based on data, process, staff) in the furniture industry. Forgives. Also, it makes it easier to carry out “blind” Recruitment of employees processes and review frequent applications, and by simplifying the application analysis process through applicant tracking systems, it can save time and money in human resources processes and reduce discrimination in choices.","PeriodicalId":518608,"journal":{"name":"Studia Universitatis „Vasile Goldis” Arad – Economics Series","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140653521","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}
Tetyana Kryvoshlyk, O. Dymnich, Tetyana Stetsyuk, Andriy Baranov, Igor Britchenko, V. Trynchuk
The relevance of the article is based on an in-depth study of the financial potential of insurers and its impact on the insurance market, which provides valuable information for the stakeholders of the insurance industry. Therefore, this study aims to determine approaches to revealing the essence of the financial capacity of insurers, based on the scientific tools of financial science. The leading approach to the study of this problem is the analysis of the dynamics of liabilities (raised and borrowed funds) and equity capital of insurers and the relationship between them, which enables a comprehensive look at the impact of these indicators on the development of insurance market and internal and external factors that have both an objective and subjective impact on the financial capacity of insurers and the insurance market. The article defines the stages and methodology of assessing the financial condition of insurers. In particular, the normative method, the comparative method, the static method, the formallogical method, the economic-mathematical method, the method of analysis and synthesis became the leading research methods. These assessment methods are crucial for the timely determination of the current state of financial capacity and its potential. Using a multivariate correlation-regression model, the authors demonstrate the importance of various components of financial capacity. The presented results will be useful to various stakeholders in the insurance industry as they provide a deeper understanding of their financial strength, including the dynamics of liabilities, equity and leveraged funds. First of all, it was established that financial resources are the basis of financial capacity. Secondly, the definition of the insurance company’s financial resources as a source and component of the company’s functioning is formulated. Thirdly, it is shown that the insurer’s financial capacity is logically dependent on its investment capacity, which is determined by the amount of financial resources. It was also determined that financial capacity is a dynamic quantity and is manifested only in the process of its use and ideally should be accompanied by its growth. Among them, it was proved that the main components that significantly affect the formation of the financial potential of insurers and the growth of the insurance market of Ukraine are insurance reserves and authorized capital. These conclusions can easily become the basis for the formation of further state insurance policy, which will be followed through legislative reforms, increased competition in the insurance market and will result in an increase in the level of trust among the population.
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