Pub Date : 2024-03-23DOI: 10.9734/ajeba/2024/v24i51298
Mohamed M. El-Gibaly
According to the new advances in the form of new firms, including JIT and Agile, further advances in technologies, computer programs, and the systems of official accounting all become necessary to be modified. Also, the considerations of kaizen costing systems, in addition to the new movements towards the concern of the customer, should come first as a result of the new movements towards the customer profit analysis. In a JIT supply chain, suppliers are responsible for informing their cus-tomers of their products. Within the context of the current research, it was suggested to use the sys-tems of Back-flush costing as well as throughput accounting systems to simplify the application of just-in time systems and agile systems to satisfy the requirements of achieving the policy of continu-ous improvement. Furthermore, the continuous debate between the different parties of the game supposed here will be realized and considered. The integration of competitors into various aspects of the supply chain has been made possible by the emergence of intelligent supply chains. Additionally, the rapid advancements in the industrial and technological landscape have placed a significant bur-den on the movement of goods and information, requiring efficient and cost-effective solutions to meet time-sensitive requirements and customer demands. It is even more promising to consider the potential for surpassing competitors in terms of achievements and capabilities. The continuous advancements in artificial intelligence have further emphasized the need for progress in both production quality and cost optimization. The rapid progress in both the just-in-time/agile and resilient systems has led to additional requirements for the implemented accounting system and the selected level of automated accounting system. Extensive analysis of various arguments within the scope of the present study has been conducted, promoting the adoption of a more reality-sensitive model for the application.
{"title":"A Proposed Costing System for Agile Just-In-Time Supply Chains with Back-Flush and throughput Accounting","authors":"Mohamed M. El-Gibaly","doi":"10.9734/ajeba/2024/v24i51298","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51298","url":null,"abstract":"According to the new advances in the form of new firms, including JIT and Agile, further advances in technologies, computer programs, and the systems of official accounting all become necessary to be modified. Also, the considerations of kaizen costing systems, in addition to the new movements towards the concern of the customer, should come first as a result of the new movements towards the customer profit analysis. In a JIT supply chain, suppliers are responsible for informing their cus-tomers of their products. Within the context of the current research, it was suggested to use the sys-tems of Back-flush costing as well as throughput accounting systems to simplify the application of just-in time systems and agile systems to satisfy the requirements of achieving the policy of continu-ous improvement. Furthermore, the continuous debate between the different parties of the game supposed here will be realized and considered. The integration of competitors into various aspects of the supply chain has been made possible by the emergence of intelligent supply chains. Additionally, the rapid advancements in the industrial and technological landscape have placed a significant bur-den on the movement of goods and information, requiring efficient and cost-effective solutions to meet time-sensitive requirements and customer demands. It is even more promising to consider the potential for surpassing competitors in terms of achievements and capabilities. The continuous advancements in artificial intelligence have further emphasized the need for progress in both production quality and cost optimization. The rapid progress in both the just-in-time/agile and resilient systems has led to additional requirements for the implemented accounting system and the selected level of automated accounting system. Extensive analysis of various arguments within the scope of the present study has been conducted, promoting the adoption of a more reality-sensitive model for the application.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":" 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140211317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-23DOI: 10.9734/ajeba/2024/v24i51295
Emmanuel Enaberue, Ibrahim Musa, S. Magaji
This study used the Auto Regressive Distributed Lag (ARDL) model to assess the effect of income disparity on the degree of poverty in Nigeria. Based on the association each income determinant showed with the Gini coefficient of income disparity in the Nigerian economy, the study's findings indicated that there is a long-run positive relationship between the poverty level and the Gini coefficient of income inequality in Nigeria. Therefore, it is advised to improve a more equitable distribution of wealth, which will effectively lessen income inequality and poverty in Nigeria. The government should concentrate its efforts on developing and implementing more realistic employment programs in Nigeria. Since the empirical results of this study have demonstrated that decreasing income disparity in Nigeria by an increase in the employment rate has not been sufficient. A more practical approach to employment would allow people to use their money to build wealth rather than just get by, which would increase the level of income distribution.
{"title":"Impact of Income Inequality on Poverty Level in Nigeria: Evidence from ARDL Model","authors":"Emmanuel Enaberue, Ibrahim Musa, S. Magaji","doi":"10.9734/ajeba/2024/v24i51295","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51295","url":null,"abstract":"This study used the Auto Regressive Distributed Lag (ARDL) model to assess the effect of income disparity on the degree of poverty in Nigeria. Based on the association each income determinant showed with the Gini coefficient of income disparity in the Nigerian economy, the study's findings indicated that there is a long-run positive relationship between the poverty level and the Gini coefficient of income inequality in Nigeria. Therefore, it is advised to improve a more equitable distribution of wealth, which will effectively lessen income inequality and poverty in Nigeria. The government should concentrate its efforts on developing and implementing more realistic employment programs in Nigeria. Since the empirical results of this study have demonstrated that decreasing income disparity in Nigeria by an increase in the employment rate has not been sufficient. A more practical approach to employment would allow people to use their money to build wealth rather than just get by, which would increase the level of income distribution.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":" 68","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-23DOI: 10.9734/ajeba/2024/v24i51297
Yang Di, Rozaini Binti Rosli
Aims: This study aims to examine the mediating role of organizational commitment in the relationship between Corporate Social Responsibility (CSR) and employee performance within Henan's universities, highlighting the strategic importance of CSR in enhancing organizational effectiveness and employee outcomes. Study Design: This study utilized a cross-sectional survey methodology to explore the relationships among Corporate Social Responsibility (CSR), Organizational Commitment (OC), and Employee Performance (EP) within Henan's higher education sector. A stratified random sampling approach was employed to select faculty and administrative staff from universities engaged in CSR initiatives. The analysis, conducted through Structural Equation Modeling and mediation analysis, aimed to understand both direct and indirect effects of CSR on employee performance, with a particular focus on the mediating role of organizational commitment. Place and Duration of Study: Zhengzhou University, Henan University, Henan Normal University, Henan Agricultural University and Henan Polytechnic University, in December 2023. Methodology: The study adopted a quantitative research design using a cross-sectional survey method to explore CSR's impact on organizational commitment and employee performance in Henan's universities. A stratified random sampling strategy was utilized to select faculty and administrative staff from universities engaged in CSR, aiming for a sample size of 328 to ensure statistical significance. Validated scales measured CSR, organizational commitment, and employee performance, with data analysis conducted through Structural Equation Modeling and bootstrapping for mediation effects. Results: In this study, the impact of Corporate Social Responsibility (CSR) on Employee Performance (EP) and Organizational Commitment (OC) within Henan's universities was examined. Findings indicate that CSR positively influences EP both directly and via OC, serving as a mediator. Significant relationships were confirmed: CSR to EP (β=0.433), CSR to OC (β=0.825), and OC to EP (β=0.442), all highly statistically significant (p<0.001). Mediation analysis showed CSR impacts EP through OC, accounting for about 45.73% of the effect. This underscores CSR's dual role in enhancing performance directly and by fostering organizational commitment. Conclusion: This study not only underscores the pivotal role of Corporate Social Responsibility (CSR) in enhancing employee performance within Henan's universities but also sheds light on the crucial mediating role of Organizational Commitment (OC). The dual pathway through which CSR influences employee performance underlines the significance of integrating CSR into the core strategic management practices of educational institutions. It signals to university administrators and policy-makers that CSR initiatives are not just external obligations but essential strategies for cultivating a committed and high-performing workforce. This real
{"title":"Exploring the Mediating Role of Organizational Commitment in the Relationship between Corporate Social Responsibility and Employee Performance: Evidence from Henan's Universities","authors":"Yang Di, Rozaini Binti Rosli","doi":"10.9734/ajeba/2024/v24i51297","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51297","url":null,"abstract":"Aims: This study aims to examine the mediating role of organizational commitment in the relationship between Corporate Social Responsibility (CSR) and employee performance within Henan's universities, highlighting the strategic importance of CSR in enhancing organizational effectiveness and employee outcomes.\u0000Study Design: This study utilized a cross-sectional survey methodology to explore the relationships among Corporate Social Responsibility (CSR), Organizational Commitment (OC), and Employee Performance (EP) within Henan's higher education sector. A stratified random sampling approach was employed to select faculty and administrative staff from universities engaged in CSR initiatives. The analysis, conducted through Structural Equation Modeling and mediation analysis, aimed to understand both direct and indirect effects of CSR on employee performance, with a particular focus on the mediating role of organizational commitment.\u0000Place and Duration of Study: Zhengzhou University, Henan University, Henan Normal University, Henan Agricultural University and Henan Polytechnic University, in December 2023.\u0000Methodology: The study adopted a quantitative research design using a cross-sectional survey method to explore CSR's impact on organizational commitment and employee performance in Henan's universities. A stratified random sampling strategy was utilized to select faculty and administrative staff from universities engaged in CSR, aiming for a sample size of 328 to ensure statistical significance. Validated scales measured CSR, organizational commitment, and employee performance, with data analysis conducted through Structural Equation Modeling and bootstrapping for mediation effects.\u0000Results: In this study, the impact of Corporate Social Responsibility (CSR) on Employee Performance (EP) and Organizational Commitment (OC) within Henan's universities was examined. Findings indicate that CSR positively influences EP both directly and via OC, serving as a mediator. Significant relationships were confirmed: CSR to EP (β=0.433), CSR to OC (β=0.825), and OC to EP (β=0.442), all highly statistically significant (p<0.001). Mediation analysis showed CSR impacts EP through OC, accounting for about 45.73% of the effect. This underscores CSR's dual role in enhancing performance directly and by fostering organizational commitment.\u0000Conclusion: This study not only underscores the pivotal role of Corporate Social Responsibility (CSR) in enhancing employee performance within Henan's universities but also sheds light on the crucial mediating role of Organizational Commitment (OC). The dual pathway through which CSR influences employee performance underlines the significance of integrating CSR into the core strategic management practices of educational institutions. It signals to university administrators and policy-makers that CSR initiatives are not just external obligations but essential strategies for cultivating a committed and high-performing workforce. This real","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":" 92","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140211113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-19DOI: 10.9734/ajeba/2024/v24i51294
A. R. Ayeni-Agbaje, I. A. Adebayo, B. O. Owoniya
The performance of listed firms in Nigeria is a topic of significant concern and interest among stakeholders, including investors, regulators, and policymakers. Despite the considerable growth and development of the Nigerian economy in recent years, some persistent challenges and issues affect the performance of listed firms, hindering their ability to achieve optimal results and contribute effectively to economic prosperity. There is a growing need to explore the relationship between corporate governance mechanisms and firm performance in Nigerian firms.The study adopted an ex-post facto research design, extracting secondary data from the annual reports of 153 companies listed on the Nigerian Exchange Group (NGX) that made up the study's population. Using a purposive sampling approach, 10 firms were chosen across different industries as the sample size. The scope spanned from 2013 to 2021, a period of nine years, and data underwent descriptive and inferential statistical analyses. The empirical investigations found that board size had a positive significant effect on return on assets, while the number of non-executive directors had a negative significant effect on return on assets. The overall results demonstrated that corporate governance had a significant effect on the firm performance. The findings suggest that companies adhering to robust corporate governance standards tend to excel across various performance metrics compared to those with weaker governance practices. This study recommends that Policymakers of Nigerian firms should consider optimizing board size to enhance performance, ensuring a balance between diversity and efficiency.
{"title":"Corporate Governance and Performance of Listed Firms in Nigerian Exchange Group","authors":"A. R. Ayeni-Agbaje, I. A. Adebayo, B. O. Owoniya","doi":"10.9734/ajeba/2024/v24i51294","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51294","url":null,"abstract":"The performance of listed firms in Nigeria is a topic of significant concern and interest among stakeholders, including investors, regulators, and policymakers. Despite the considerable growth and development of the Nigerian economy in recent years, some persistent challenges and issues affect the performance of listed firms, hindering their ability to achieve optimal results and contribute effectively to economic prosperity. There is a growing need to explore the relationship between corporate governance mechanisms and firm performance in Nigerian firms.The study adopted an ex-post facto research design, extracting secondary data from the annual reports of 153 companies listed on the Nigerian Exchange Group (NGX) that made up the study's population. Using a purposive sampling approach, 10 firms were chosen across different industries as the sample size. The scope spanned from 2013 to 2021, a period of nine years, and data underwent descriptive and inferential statistical analyses. The empirical investigations found that board size had a positive significant effect on return on assets, while the number of non-executive directors had a negative significant effect on return on assets. The overall results demonstrated that corporate governance had a significant effect on the firm performance. The findings suggest that companies adhering to robust corporate governance standards tend to excel across various performance metrics compared to those with weaker governance practices. This study recommends that Policymakers of Nigerian firms should consider optimizing board size to enhance performance, ensuring a balance between diversity and efficiency.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"92 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140228216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.9734/ajeba/2024/v24i51293
Muhammad Fatkhurrozi, M. Innayah, Naelati Tubastuvi, Mastur Mujib Ikhsani
Aims: This research aimed to analyze the effect of Cognitive Dissonance Bias, Overconfidence Bias, Herding Bias, Endowment Bias, and Confirmation Bias on the investment decisions of the millennial generation in the capital market. Study Design: The sampling method used in this study was purposive sampling, which obtained 128 respondents. Place and Duration of Study: The research was conducted with investors in Banyumas Regency. Methodology: This research method uses the SEM (Structural Equation Modeling) analysis method with the Partial Least Square (PLS) approach. Each hypothesis is tested to understand the relationship between variables. To test the validity and reliability of research using an outer model. Hypothesis testing uses inner models. Results: The results of this study showed that cognitive dissonance bias, overconfidence bias, and endowment bias have an effect on investment decisions. However, herding bias and confirmation bias do not affect investment decisions. Conclusion: To increase investment opportunities, investors must pay attention to cognitive dissonance bias, overconfidence bias, and endowment bias because they can cause investment failure. Investors must also pay attention to information circulating in the media because analysis needs the latest information on investment transaction targets to avoid investment failure.
{"title":"Challenges in Millennials Investment Decision: A Study of Behavioural Biases","authors":"Muhammad Fatkhurrozi, M. Innayah, Naelati Tubastuvi, Mastur Mujib Ikhsani","doi":"10.9734/ajeba/2024/v24i51293","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51293","url":null,"abstract":"Aims: This research aimed to analyze the effect of Cognitive Dissonance Bias, Overconfidence Bias, Herding Bias, Endowment Bias, and Confirmation Bias on the investment decisions of the millennial generation in the capital market.\u0000Study Design: The sampling method used in this study was purposive sampling, which obtained 128 respondents.\u0000Place and Duration of Study: The research was conducted with investors in Banyumas Regency.\u0000Methodology: This research method uses the SEM (Structural Equation Modeling) analysis method with the Partial Least Square (PLS) approach. Each hypothesis is tested to understand the relationship between variables. To test the validity and reliability of research using an outer model. Hypothesis testing uses inner models.\u0000Results: The results of this study showed that cognitive dissonance bias, overconfidence bias, and endowment bias have an effect on investment decisions. However, herding bias and confirmation bias do not affect investment decisions.\u0000Conclusion: To increase investment opportunities, investors must pay attention to cognitive dissonance bias, overconfidence bias, and endowment bias because they can cause investment failure. Investors must also pay attention to information circulating in the media because analysis needs the latest information on investment transaction targets to avoid investment failure.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"49 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-16DOI: 10.9734/ajeba/2024/v24i51292
Abdi Akbar, Muhammad Yushar Mustafa, M. I. M. Haeruddin, Caroline Mariñas-Acosta, Hasbiyadi Hasbiyadi, Syamsul Alam, Widhi Nugraha S. Darmawinata
This study finds a gap within the literature and aims to conduct research that primarily highlights the role of artificial intelligence technology on internationalising SME’s leadership system, especially in Makassar, Indonesia. A quantitative research method is applied in this study by collecting both primary and secondary data. The time span of this study is from November 2023 to January 2024 and over 200 active SMEs received research questionnaires. Throughout the specific statistical measurements and tests, this study then aims to contribute to the body of knowledge and theoretical contribution by offering the research findings, which confirm that artificial intelligence plays an important role on leadership inside internationalising SMEs in a developing country, Indonesia, primarily in Makassar District. As for the theoretical contribution, the explanatory variable, which is artificial intelligence, affects significantly and positively the predictor, which is the leadership of the internationalising SMEs, particularly on: (1) the surveillance and monitoring; (2) the ethical considerations; and (3) the decision-making process. Additionally, the managerial contributions of this study are explained in detail within the particular sections of this paper.
{"title":"Days of Future Past: Scrutinising the Artificial Intelligence Impact on the Leadership of Internationalising SMEs","authors":"Abdi Akbar, Muhammad Yushar Mustafa, M. I. M. Haeruddin, Caroline Mariñas-Acosta, Hasbiyadi Hasbiyadi, Syamsul Alam, Widhi Nugraha S. Darmawinata","doi":"10.9734/ajeba/2024/v24i51292","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51292","url":null,"abstract":"This study finds a gap within the literature and aims to conduct research that primarily highlights the role of artificial intelligence technology on internationalising SME’s leadership system, especially in Makassar, Indonesia. A quantitative research method is applied in this study by collecting both primary and secondary data. The time span of this study is from November 2023 to January 2024 and over 200 active SMEs received research questionnaires. Throughout the specific statistical measurements and tests, this study then aims to contribute to the body of knowledge and theoretical contribution by offering the research findings, which confirm that artificial intelligence plays an important role on leadership inside internationalising SMEs in a developing country, Indonesia, primarily in Makassar District. As for the theoretical contribution, the explanatory variable, which is artificial intelligence, affects significantly and positively the predictor, which is the leadership of the internationalising SMEs, particularly on: (1) the surveillance and monitoring; (2) the ethical considerations; and (3) the decision-making process. Additionally, the managerial contributions of this study are explained in detail within the particular sections of this paper.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"76 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140236059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-15DOI: 10.9734/ajeba/2024/v24i51291
Ranjeet Kumar Ambast, Amit Gupta, Shailendra S. Bhadouria
Goods and Services Tax (GST) has made a revolutionary impact on all sectors of the economy, impacting their overall financial performance. The study has focused on the role of GST on the financial performance of service sector entities namely, education, hospitality, and logistics, with special emphasis on profitability. Employing analysis of secondary data and in-depth interpretation, the study attempts to understand the role of GST deployment on company profits, examining both pre-GST and post-GST scenarios. By scrutinizing trends and patterns in profitability data and comparing performance before and after GST enactment, this study focuses on the sector-specific effects of the tax reform on profitability. The study adopts a quantitative approach to assess the role of the GST on the financial performance of service sector companies, with a specific focus on profitability. Data was checked for normality. Subsequently, Correlation & Paired t-tests were done using R-Studio. The analysis of the education, hospitality, and logistic sectors post-GST implementation reveals diverse impacts on mean profit changes. The study will help develop customized policies for each sector that promote sustainable development amidst changing tax legislation.
商品和服务税（GST）对所有经济部门都产生了革命性的影响，影响了它们的整体财务业绩。本研究的重点是商品及服务税对教育、酒店和物流等服务行业实体的财务表现所起的作用，特别强调盈利能力。通过对二手数据的分析和深入解读，本研究试图了解商品及服务税的征收对公司利润的影响，并对商品及服务税征收前和征收后的情况进行了研究。通过仔细研究盈利数据的趋势和模式，并比较商品及服务税颁布前后的表现，本研究重点关注税制改革对特定行业盈利能力的影响。本研究采用定量方法评估商品及服务税对服务业公司财务业绩的影响，重点关注盈利能力。对数据进行了正态性检查。随后，使用 R-Studio 进行了相关性和配对 t 检验。对教育、酒店和物流行业实施消费税后的分析表明，平均利润变化受到不同的影响。这项研究将有助于为各行业制定量身定制的政策，在不断变化的税收法规中促进可持续发展。
{"title":"Assessing the Impact of GST on Profitability: Insights from Education, Hospitality, and Logistics Sectors","authors":"Ranjeet Kumar Ambast, Amit Gupta, Shailendra S. Bhadouria","doi":"10.9734/ajeba/2024/v24i51291","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51291","url":null,"abstract":"Goods and Services Tax (GST) has made a revolutionary impact on all sectors of the economy, impacting their overall financial performance. The study has focused on the role of GST on the financial performance of service sector entities namely, education, hospitality, and logistics, with special emphasis on profitability. Employing analysis of secondary data and in-depth interpretation, the study attempts to understand the role of GST deployment on company profits, examining both pre-GST and post-GST scenarios. By scrutinizing trends and patterns in profitability data and comparing performance before and after GST enactment, this study focuses on the sector-specific effects of the tax reform on profitability. The study adopts a quantitative approach to assess the role of the GST on the financial performance of service sector companies, with a specific focus on profitability. Data was checked for normality. Subsequently, Correlation & Paired t-tests were done using R-Studio. The analysis of the education, hospitality, and logistic sectors post-GST implementation reveals diverse impacts on mean profit changes. The study will help develop customized policies for each sector that promote sustainable development amidst changing tax legislation.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"115 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140237762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-12DOI: 10.9734/ajeba/2024/v24i51288
Van Hieu Vu, Thi Huong Ly Nguyen, Thi Liem Nguyen, Thi Mai Le
Aims: E-commerce allows businesses to expand their reach and provides customers with a convenient method to shop at any time, from any location. In recent years, Vietnam's online retail sector has expanded rapidly, but the market for air conditioners has lagged behind. It is important for businesses in the air-conditioner (AC) market to identify what factors influence consumers' intention to purchase air conditioners online. Methodology: Regression analysis was conducted from data collected from 412 end-users in Vietnam to identify the primary factors that influence the online purchase intent of AC consumers by using SPSS version 22. Results: In order of importance, the results indicate that perceived utility (PU), E-shopping quality (ESP), and sales policy (SP) positively influence online purchase intention. The remaining two variables Price sensitivity (PS) and Perceived risk (PR) have a substantial negative effect on AC consumers' online purchase intent. Conclusion: These results provide retailers and AC brands with valuable guidance as they formulate a strategy to increase AC's online sales in Vietnam strategy to expand Internet sales for AC in Vietnam.
目的：电子商务使企业能够扩大业务范围，并为客户提供随时随地购物的便捷方式。近年来，越南的网上零售业发展迅速，但空调市场却相对滞后。对于空调（AC）市场的企业来说，确定哪些因素会影响消费者在线购买空调的意向非常重要。研究方法：使用 SPSS 22 版对从越南 412 名最终用户收集的数据进行回归分析，以确定影响空调消费者网购意向的主要因素。结果结果表明，按重要性排序，感知效用（PU）、电子购物质量（ESP）和销售政策（SP）对网购意向有积极影响。其余两个变量价格敏感性（PS）和感知风险（PR）对 AC 消费者的网上购买意向有很大的负面影响。结论这些结果为零售商和空调品牌提供了宝贵的指导，帮助他们制定增加空调在越南网上销售的战略，以扩大空调在越南的互联网销售。
{"title":"Examination of Online Purchase Intention towards Air-conditioner","authors":"Van Hieu Vu, Thi Huong Ly Nguyen, Thi Liem Nguyen, Thi Mai Le","doi":"10.9734/ajeba/2024/v24i51288","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51288","url":null,"abstract":"Aims: E-commerce allows businesses to expand their reach and provides customers with a convenient method to shop at any time, from any location. In recent years, Vietnam's online retail sector has expanded rapidly, but the market for air conditioners has lagged behind. It is important for businesses in the air-conditioner (AC) market to identify what factors influence consumers' intention to purchase air conditioners online. \u0000Methodology: Regression analysis was conducted from data collected from 412 end-users in Vietnam to identify the primary factors that influence the online purchase intent of AC consumers by using SPSS version 22. \u0000Results: In order of importance, the results indicate that perceived utility (PU), E-shopping quality (ESP), and sales policy (SP) positively influence online purchase intention. The remaining two variables Price sensitivity (PS) and Perceived risk (PR) have a substantial negative effect on AC consumers' online purchase intent. \u0000Conclusion: These results provide retailers and AC brands with valuable guidance as they formulate a strategy to increase AC's online sales in Vietnam strategy to expand Internet sales for AC in Vietnam.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140250324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-12DOI: 10.9734/ajeba/2024/v24i51290
Fitri Khoirotul Ummah, Esy Nur Aisyah
Every banking activity and product has risks. Risk is the result or consequence of an activity during the process or in future circumstances that can cause losses. Financial Distress can be characterized by a decrease in various financial ratios, a reduction in assets, a decline in sales, a decrease in profits and profitability levels, a reduction in working capital, and a continuous increase in debt. So, in this research, the author wanted to know the level of accuracy of the Altman z-score model in predicting potential financial Distress for Sharia Commercial Banks in Indonesia. The population used in this research was Sharia Commercial Banks registered with the Financial Services Authority. The sampling technique that the researchers used was purposive sampling, with a total sample of 12 Islamic commercial banks. The research results showed that only one bank experienced financial Distress, while 11 other banks experienced good economic conditions. The Zmijewski model is good because it has a high level of accuracy with a low error.
{"title":"Analysis of Zmijewski Model's Accuracy in Predicting Potential Financial Distress for Indonesian Islamic Banking","authors":"Fitri Khoirotul Ummah, Esy Nur Aisyah","doi":"10.9734/ajeba/2024/v24i51290","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i51290","url":null,"abstract":"Every banking activity and product has risks. Risk is the result or consequence of an activity during the process or in future circumstances that can cause losses. Financial Distress can be characterized by a decrease in various financial ratios, a reduction in assets, a decline in sales, a decrease in profits and profitability levels, a reduction in working capital, and a continuous increase in debt. So, in this research, the author wanted to know the level of accuracy of the Altman z-score model in predicting potential financial Distress for Sharia Commercial Banks in Indonesia. The population used in this research was Sharia Commercial Banks registered with the Financial Services Authority. The sampling technique that the researchers used was purposive sampling, with a total sample of 12 Islamic commercial banks. The research results showed that only one bank experienced financial Distress, while 11 other banks experienced good economic conditions. The Zmijewski model is good because it has a high level of accuracy with a low error.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"35 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-08DOI: 10.9734/ajeba/2024/v24i41283
Jackson K. Njenga
In this paper, Holt-Winters exponential smoothing approach is applied to model and forecast monthly CPI in Kenya and South Africa. Monthly data from January 2000 to December 2023 was obtained from Central Bank of Kenya and South Africa department of statistics. Time series decomposition showed that the trend component is the most dominant component in both countries. Kenya Holt-Winters estimated model has parameters 0.6756, 0.0077 and 1 for level smoothing, trend smoothing and seasonal smoothing respectively. On the other hand, South Africa estimated model has parameters 0.8917, 0.1057 and 1 for level smoothing, trend smoothing and seasonal smoothing respectively. The estimated models are efficient and effective as on average the fitted values are less than one percent off the observed values. The initial values for level smoothing, trend smoothing and seasonal smoothing are approximately equal in both countries. The estimated models are then used to predict CPI next twelve months. Over the forecast period, South Africa will experience a lower index as compared to Kenya. In both countries, it’s expected that monthly CPI will rise.
{"title":"Analysis and Forecasting of Consumer Price Index (CPI) in Kenya and South Africa using Holt Winter Model","authors":"Jackson K. Njenga","doi":"10.9734/ajeba/2024/v24i41283","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i41283","url":null,"abstract":"In this paper, Holt-Winters exponential smoothing approach is applied to model and forecast monthly CPI in Kenya and South Africa. Monthly data from January 2000 to December 2023 was obtained from Central Bank of Kenya and South Africa department of statistics. Time series decomposition showed that the trend component is the most dominant component in both countries. Kenya Holt-Winters estimated model has parameters 0.6756, 0.0077 and 1 for level smoothing, trend smoothing and seasonal smoothing respectively. On the other hand, South Africa estimated model has parameters 0.8917, 0.1057 and 1 for level smoothing, trend smoothing and seasonal smoothing respectively. The estimated models are efficient and effective as on average the fitted values are less than one percent off the observed values. The initial values for level smoothing, trend smoothing and seasonal smoothing are approximately equal in both countries. The estimated models are then used to predict CPI next twelve months. Over the forecast period, South Africa will experience a lower index as compared to Kenya. In both countries, it’s expected that monthly CPI will rise.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":"19 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140257827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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