Pub Date : 2024-07-09DOI: 10.9734/ajeba/2024/v24i71418
Isaac, Samuel Effiong, Okon, Joel Isaac, Arinze, Nnaemeka Peter, Odii, Nwanneka Mmahi
This study examines the effect of exchange rate depreciation on the agricultural and industrial sectors of the Nigerian economy using annual data from 1981 to 2021 in an autoregressive distributed lag (ARDL) model. The findings show that the effect of exchange rate depreciation on industrial and agricultural output was fairly similar. Exchange rate depreciation, inflation, interest rate, and government expenditure have negative effects on industrial output in the short run and positive effects in the long run. Similarly, past agricultural output, exchange rate depreciation, and government expenditure have negative effects on agricultural output in the short run and a positive effect in the long run. Inflation also has a long-term positive effect on agricultural output. Government expenditure had the most substantial long-run effect on industrial and agricultural output. The study shows the need to manage high exchange rate volatility to facilitate realistic forecasts and sound production decisions in the agricultural and industrial sectors. The findings of this study underscore the importance of considering both short-run dynamics and long-run adjustments in understanding the effects of exchange rate depreciation and other economic variables on the industrial and agricultural sectors.
{"title":"Exchange Rate Depreciation and the Nigeria’s Agricultural and Industrial Sectors","authors":"Isaac, Samuel Effiong, Okon, Joel Isaac, Arinze, Nnaemeka Peter, Odii, Nwanneka Mmahi","doi":"10.9734/ajeba/2024/v24i71418","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71418","url":null,"abstract":"This study examines the effect of exchange rate depreciation on the agricultural and industrial sectors of the Nigerian economy using annual data from 1981 to 2021 in an autoregressive distributed lag (ARDL) model. The findings show that the effect of exchange rate depreciation on industrial and agricultural output was fairly similar. Exchange rate depreciation, inflation, interest rate, and government expenditure have negative effects on industrial output in the short run and positive effects in the long run. Similarly, past agricultural output, exchange rate depreciation, and government expenditure have negative effects on agricultural output in the short run and a positive effect in the long run. Inflation also has a long-term positive effect on agricultural output. Government expenditure had the most substantial long-run effect on industrial and agricultural output. The study shows the need to manage high exchange rate volatility to facilitate realistic forecasts and sound production decisions in the agricultural and industrial sectors. The findings of this study underscore the importance of considering both short-run dynamics and long-run adjustments in understanding the effects of exchange rate depreciation and other economic variables on the industrial and agricultural sectors.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666403","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 : 2024-07-06DOI: 10.9734/ajeba/2024/v24i71417
Zubaidur Rahman
Aims: There is controversy among policy makers concerning whether farm income is stable as well as which factors have a greater influence on it. Thus, the present study aims at investigating the effects of socioeconomic factors on farm income in Naogaon district of Bangladesh. Methodology: The population under investigation in this study consisted of farmers from the twelve villages who were directly involved in agriculture. The study used a multistage sampling technique with respondents, unions, and villages selected using a simple random sampling technique, and districts and upazilas were selected purposively. In this regard, 300 rural farmers were interviewed for the study purpose. In this research, a multiple regression model is used to describe how socioeconomic factors affect the farm income in Naogaon district. The final survey was carried out during the period from March to May, 2023. Results: It is seen from the study that the average distance to the nearest market is 0.59 kilometers, while the mean value of agricultural training is 0.45 years and the average farming experience is 28.36 years. The empirical results of the study show that farm income is positively connected with other factors such as farming experience, access to credit facilities, household size, distance to the nearest market, farm size, access to agricultural information, education, and agricultural training. However, the same is negatively correlated with age and membership in an agricultural cooperative. Finally, some policy recommendations are made towards increasing farm income of the farmers in the study area.
{"title":"The Effects of Socioeconomic Factors on Farm Income in Naogaon District of Bangladesh: An Empirical Analysis","authors":"Zubaidur Rahman","doi":"10.9734/ajeba/2024/v24i71417","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71417","url":null,"abstract":"Aims: There is controversy among policy makers concerning whether farm income is stable as well as which factors have a greater influence on it. Thus, the present study aims at investigating the effects of socioeconomic factors on farm income in Naogaon district of Bangladesh. \u0000Methodology: The population under investigation in this study consisted of farmers from the twelve villages who were directly involved in agriculture. The study used a multistage sampling technique with respondents, unions, and villages selected using a simple random sampling technique, and districts and upazilas were selected purposively. In this regard, 300 rural farmers were interviewed for the study purpose. In this research, a multiple regression model is used to describe how socioeconomic factors affect the farm income in Naogaon district. The final survey was carried out during the period from March to May, 2023. \u0000Results: It is seen from the study that the average distance to the nearest market is 0.59 kilometers, while the mean value of agricultural training is 0.45 years and the average farming experience is 28.36 years. The empirical results of the study show that farm income is positively connected with other factors such as farming experience, access to credit facilities, household size, distance to the nearest market, farm size, access to agricultural information, education, and agricultural training. However, the same is negatively correlated with age and membership in an agricultural cooperative. Finally, some policy recommendations are made towards increasing farm income of the farmers in the study area.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672844","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 : 2024-07-05DOI: 10.9734/ajeba/2024/v24i71415
Gubo Mato Chari, Kennedy N Nyariki
Saccos were intended to provide a variety of financial services tailored to market demands for their clients. To successfully offer these services, they needed a well-managed and robust current asset’s structure, maintained by qualified personnel. Effective asset management would enable Saccos to meet their obligations promptly. However, Kenyan Saccos have faced issues with low liquidity ratios, struggling to maintain the required 15% monthly legal cash flow ratios, often relying on expensive bank loans for support. The main aim of the study was to investigate how cash management influences the financial performance of savings and credit cooperative societies in Meru County, Kenya. The study applied pecking order theory to cash and short-term securities management. The study selected representatives from the entire population using a simple random sampling method to have 13 customer care officers, 34 tellers, 28 back-office staff, and 36 loans officers, totaling 111 respondents. A descriptive research design was chosen to gather data from 24 deposit and non-deposit Saccos in Meru County. Both quantitative and qualitative data were collected using closed-ended questionnaires and financial statements. Descriptive statistics such as frequency, percentage, and mean were calculated. The findings were essential for Sacco management, providing insights into how the management of cash asset be optimized to enhance the liquidity of the institutions.
{"title":"Influence of Cash Management on Financial Performance of Selected Savings and Credit Cooperative Societies in Meru County, Kenya","authors":"Gubo Mato Chari, Kennedy N Nyariki","doi":"10.9734/ajeba/2024/v24i71415","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71415","url":null,"abstract":"Saccos were intended to provide a variety of financial services tailored to market demands for their clients. To successfully offer these services, they needed a well-managed and robust current asset’s structure, maintained by qualified personnel. Effective asset management would enable Saccos to meet their obligations promptly. However, Kenyan Saccos have faced issues with low liquidity ratios, struggling to maintain the required 15% monthly legal cash flow ratios, often relying on expensive bank loans for support. The main aim of the study was to investigate how cash management influences the financial performance of savings and credit cooperative societies in Meru County, Kenya. The study applied pecking order theory to cash and short-term securities management. The study selected representatives from the entire population using a simple random sampling method to have 13 customer care officers, 34 tellers, 28 back-office staff, and 36 loans officers, totaling 111 respondents. A descriptive research design was chosen to gather data from 24 deposit and non-deposit Saccos in Meru County. Both quantitative and qualitative data were collected using closed-ended questionnaires and financial statements. Descriptive statistics such as frequency, percentage, and mean were calculated. The findings were essential for Sacco management, providing insights into how the management of cash asset be optimized to enhance the liquidity of the institutions.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674078","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 : 2024-07-05DOI: 10.9734/ajeba/2024/v24i71416
Prerna Pandey, Amar Kumar Chaudhary
This study provides a detailed analysis of the key role that the MSME sector plays in India’s growth and development journey. It provides information about the key economic indicators and how MSME contributes to it. Emphasis was laid on major Indicators such as employment rates, GDP, FDI, export performance, demonstrating their role in boosting the Indian economy. Thorough analysis of various government schemes like SFURTI, PMEGP, ASPIRE and other such schemes has been done to illustrate their role in promoting employment, innovation, entrepreneurship and economic progress. By utilizing a comprehensive dataset obtained from reputable sources such as MSME annual report, circulars from Press Information Bureau, various government site, and RBI publications, statistical techniques including correlation analysis and regression modeling were used to examine complex relationship between MSME performance and macroeconomic variables and to derive meaningful insights into the role of MSMEs in India's economic growth and development. The findings of the study helps the reader in understanding how supportive government interventions, along with technological innovation and sustainable policies helps in sustaining the growth of MSMEs. The study concludes by laying emphasis on the importance of advanced technological and other innovation, government support and financial assistance within MSME sector to enhance its performance and competitiveness helping in nations development.
{"title":"The Role of Micro, Small, and Medium Enterprises in India's Economic Development: A Critical Analysis","authors":"Prerna Pandey, Amar Kumar Chaudhary","doi":"10.9734/ajeba/2024/v24i71416","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71416","url":null,"abstract":"This study provides a detailed analysis of the key role that the MSME sector plays in India’s growth and development journey. It provides information about the key economic indicators and how MSME contributes to it. Emphasis was laid on major Indicators such as employment rates, GDP, FDI, export performance, demonstrating their role in boosting the Indian economy. Thorough analysis of various government schemes like SFURTI, PMEGP, ASPIRE and other such schemes has been done to illustrate their role in promoting employment, innovation, entrepreneurship and economic progress. By utilizing a comprehensive dataset obtained from reputable sources such as MSME annual report, circulars from Press Information Bureau, various government site, and RBI publications, statistical techniques including correlation analysis and regression modeling were used to examine complex relationship between MSME performance and macroeconomic variables and to derive meaningful insights into the role of MSMEs in India's economic growth and development. The findings of the study helps the reader in understanding how supportive government interventions, along with technological innovation and sustainable policies helps in sustaining the growth of MSMEs. The study concludes by laying emphasis on the importance of advanced technological and other innovation, government support and financial assistance within MSME sector to enhance its performance and competitiveness helping in nations development.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675231","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 : 2024-07-04DOI: 10.9734/ajeba/2024/v24i71414
Albert Moshi, Alfred Sife, George Matto
Big data plays a pivotal role in auditing by unlocking unprecedented opportunities to extract meaningful insights from vast volumes of data. However, the usage of big data in public sector auditing in Tanzania is still limited, highlighting the need to explore the factors that influence its adoption readiness. This study explores the effect of awareness on auditors’ perception towards big data adoption readiness in public sector auditing. Specifically, it focuses on two key Technology acceptance model (TAM) factors, which are perceived ease of use and perceived usefulness. Data were collected from a sample of 221 auditors by using random sampling technique. Confirmatory factor analysis using Partial least square structural equation modelling performed the analysis. The findings revealed that awareness on big data adoption readiness plays a crucial role in shaping the perceived ease of use and perceived usefulness of big data technology. Higher levels of awareness are associated with increased perceived usefulness and perceived ease of use and consequently perceived usefulness was found as a major predictor of big data adoption readiness. The study concludes that empowering auditors with a deeper understanding of big data and its practical applications in public sector auditing could significantly increase their adoption readiness. Specifically, the findings suggest that providing targeted training programs, workshops, and seminars to enhance auditors' awareness and knowledge of big data technologies and their potential benefits would be an effective strategy to promote the readiness for big data adoption.
{"title":"The Effect of Awareness on Big Data Adoption Readiness in Public Sector Auditing in Tanzania: Assessing TAM Model","authors":"Albert Moshi, Alfred Sife, George Matto","doi":"10.9734/ajeba/2024/v24i71414","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71414","url":null,"abstract":"Big data plays a pivotal role in auditing by unlocking unprecedented opportunities to extract meaningful insights from vast volumes of data. However, the usage of big data in public sector auditing in Tanzania is still limited, highlighting the need to explore the factors that influence its adoption readiness. This study explores the effect of awareness on auditors’ perception towards big data adoption readiness in public sector auditing. Specifically, it focuses on two key Technology acceptance model (TAM) factors, which are perceived ease of use and perceived usefulness. Data were collected from a sample of 221 auditors by using random sampling technique. Confirmatory factor analysis using Partial least square structural equation modelling performed the analysis. The findings revealed that awareness on big data adoption readiness plays a crucial role in shaping the perceived ease of use and perceived usefulness of big data technology. Higher levels of awareness are associated with increased perceived usefulness and perceived ease of use and consequently perceived usefulness was found as a major predictor of big data adoption readiness. The study concludes that empowering auditors with a deeper understanding of big data and its practical applications in public sector auditing could significantly increase their adoption readiness. Specifically, the findings suggest that providing targeted training programs, workshops, and seminars to enhance auditors' awareness and knowledge of big data technologies and their potential benefits would be an effective strategy to promote the readiness for big data adoption.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678407","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 : 2024-07-03DOI: 10.9734/ajeba/2024/v24i71413
Josephine Kioko, Jennifer Muriuki
The study determined the influence of knowledge management strategies on the performance of Kenya Marine and Fisheries Research Institute. The study objectives were to determine how knowledge acquisition, storage, expertise (Technology) and accessibility influence the performance of Kenya Marine and Fisheries Research Institute. The study was guided by Resource-Based View (RBV), Knowledge-Based View (KBV), Dynamic Capabilities Theory (DCT) and Social Exchange Theory (SET). Since the study involved gathering of quantitative and qualitative data, it adopted mixed method approach. The study employed a descriptive survey research design, this was due to the prediction of knowledge management strategies and the performance Kenya Marine and Fisheries Research Institute, in the analysis of different trends, and the formulation of hypotheses that directs future actions. The target population was 168 employees from the Kenya Marine and Fisheries Research Institute. The researcher sampled 118 respondents using Yamane formula (2007) formula, by doing so, the chance of bias in participant selection was reduced and the sample was guaranteed to be representative of the whole population.Data was analyzed using descriptive statistics in the form of means, percentages, and frequencies with help of Statistical Package for Social Sciences v25 (SPSS V25) software. Results were displayed in form of pie chart and tables from which inferences and conclusions were drawn. The findings of the study revealed that knowledge sharing had the most significant influence on the performance of Kenya Marine and Fisheries Research Institute while knowledge acquisition had the least influence on performance of Kenya Marine and Fisheries Research Institute. The research finally concluded that knowledge management strategies had a significant effect on the performance of Kenya Marine and Fisheries Research Institute.
{"title":"Assessment of Knowledge Management Strategies on Performance of Kenya Marine and Fisheries Research Institute","authors":"Josephine Kioko, Jennifer Muriuki","doi":"10.9734/ajeba/2024/v24i71413","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71413","url":null,"abstract":"The study determined the influence of knowledge management strategies on the performance of Kenya Marine and Fisheries Research Institute. The study objectives were to determine how knowledge acquisition, storage, expertise (Technology) and accessibility influence the performance of Kenya Marine and Fisheries Research Institute. The study was guided by Resource-Based View (RBV), Knowledge-Based View (KBV), Dynamic Capabilities Theory (DCT) and Social Exchange Theory (SET). Since the study involved gathering of quantitative and qualitative data, it adopted mixed method approach. The study employed a descriptive survey research design, this was due to the prediction of knowledge management strategies and the performance Kenya Marine and Fisheries Research Institute, in the analysis of different trends, and the formulation of hypotheses that directs future actions. The target population was 168 employees from the Kenya Marine and Fisheries Research Institute. The researcher sampled 118 respondents using Yamane formula (2007) formula, by doing so, the chance of bias in participant selection was reduced and the sample was guaranteed to be representative of the whole population.Data was analyzed using descriptive statistics in the form of means, percentages, and frequencies with help of Statistical Package for Social Sciences v25 (SPSS V25) software. Results were displayed in form of pie chart and tables from which inferences and conclusions were drawn. The findings of the study revealed that knowledge sharing had the most significant influence on the performance of Kenya Marine and Fisheries Research Institute while knowledge acquisition had the least influence on performance of Kenya Marine and Fisheries Research Institute. The research finally concluded that knowledge management strategies had a significant effect on the performance of Kenya Marine and Fisheries Research Institute.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141681968","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 : 2024-07-03DOI: 10.9734/ajeba/2024/v24i71412
Rais Zaki Saiful Qohar, B. Darmawan
This study aims to examine the impact of digital platforms on business model innovation within the MSME sector in Indonesia, addressing the contextual limitations found in previous study. Utilizing a comprehensive study design, this study investigates the roles of digital platform adoption, evolutionary capability reconfiguration, and substitutional capability reconfiguration in driving business model innovation. The study methods included hypothesis testing through partial least square structural equation modeling (PLS-SEM) on data collected from MSMEs in Sleman, Yogyakarta. The results reveal that while digital platform adoption alone does not directly enhance business model innovation, it significantly influences capability reconfiguration. Specifically, substitutional reconfiguration plays a critical role in transforming business models by integrating new, more efficient capabilities. Conversely, evolutionary reconfiguration, despite being influenced by digital platforms, does not have an immediate significant impact on business model innovation. These findings contribute to the theoretical understanding of dynamic capabilities, highlighting the importance of substitutional reconfiguration for rapid and significant innovation. Practically, the study provides valuable insights for MSME owners and managers on leveraging digital platforms to enhance their value chains and drive business model innovation, ensuring sustainability and competitive advantage in the digital age.
{"title":"Digital Platforms as Enablers of MSMEs' Business Model Innovation: Revealing the Role of Capability Reconfigurations","authors":"Rais Zaki Saiful Qohar, B. Darmawan","doi":"10.9734/ajeba/2024/v24i71412","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71412","url":null,"abstract":"This study aims to examine the impact of digital platforms on business model innovation within the MSME sector in Indonesia, addressing the contextual limitations found in previous study. Utilizing a comprehensive study design, this study investigates the roles of digital platform adoption, evolutionary capability reconfiguration, and substitutional capability reconfiguration in driving business model innovation. The study methods included hypothesis testing through partial least square structural equation modeling (PLS-SEM) on data collected from MSMEs in Sleman, Yogyakarta. The results reveal that while digital platform adoption alone does not directly enhance business model innovation, it significantly influences capability reconfiguration. Specifically, substitutional reconfiguration plays a critical role in transforming business models by integrating new, more efficient capabilities. Conversely, evolutionary reconfiguration, despite being influenced by digital platforms, does not have an immediate significant impact on business model innovation. These findings contribute to the theoretical understanding of dynamic capabilities, highlighting the importance of substitutional reconfiguration for rapid and significant innovation. Practically, the study provides valuable insights for MSME owners and managers on leveraging digital platforms to enhance their value chains and drive business model innovation, ensuring sustainability and competitive advantage in the digital age.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682203","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 : 2024-07-02DOI: 10.9734/ajeba/2024/v24i71411
Isaiah Nyaega Misonge, R. Obuba
Performance appraisal at the Independent Electoral and Boundaries commission’s staff remains a challenge. Due to poor administration and supervision of the performance contracts, employees have developed negative perception and reduced morale to embrace performance contracts. This affects negatively on work performance. The purpose of this study was to establish the influence of performance appraisal on the performance of Independent Electoral and Boundaries Commission staff in Nyanza Central and South Region, Kenya. The study adopted McGregor's Theory X and Theory Y. The study was modeled on a case study design. The population of study consisted of the 100 employees working under the arrangement of performance appraisal in the Independent Electoral and Boundaries Commission in Nyanza Central and South Regions. Instruments of data collection were questionnaires and interview schedule. Descriptive analysis was done to study distributions of variables in terms of means and standard deviation, while correlation analysis was used to show the direction and strength of the independent variables. Data which was collected was analyzed both descriptively and in correlation analysis. Data was presented using percentages, graphs and charts. The study anticipated that its findings would help build in the body of knowledge. The study found that performance appraisals impact employee performance in the IEBC Nyanza Central and South Region, Kenya. The study recommends that the IEBC in Kenya, in partnership with the IRA, should revise their performance appraisal policy to better support employees. The IEBC should incorporate effective reward management into their personal rewards. Furthermore, the IEBC in Kenya should enhance their training programs to include academic support and develop a comprehensive career development policy.
独立选举和边界委员会工作人员的绩效考核仍然是一项挑战。由于对绩效合同的管理和监督不力，员工对绩效合同产生了负面看法并降低了接受绩效合同的士气。这对工作绩效产生了负面影响。本研究旨在确定绩效考核对肯尼亚尼安萨中南部地区独立选举和边界委员会工作人员绩效的影响。研究采用了麦格雷戈的 X 理论和 Y 理论。研究对象包括尼安萨中央区和南部区独立选举和边界委员会中根据绩效考核安排工作的 100 名员工。数据收集工具为调查问卷和访谈表。描述性分析用于研究变量在均值和标准差方面的分布情况，而相关分析则用于显示自变量的方向和强度。对收集到的数据进行了描述性分析和相关分析。数据使用百分比、图表和图形显示。研究预期其结果将有助于建立知识体系。研究发现，绩效考核对肯尼亚 IEBC 尼安萨中部和南部地区的员工绩效有影响。研究建议肯尼亚 IEBC 与 IRA 合作，修订其绩效考核政策，以更好地支持员工。肯尼亚独立选举委员会应将有效的奖励管理纳入个人奖励中。此外，肯尼亚独立选举委员会应加强培训计划，将学术支持纳入其中，并制定全面的职业发展政策。
{"title":"The Effect of Performance Appraisal Strategies on Employee Performance in IEBC Nyanza Central and South Region, Kenya","authors":"Isaiah Nyaega Misonge, R. Obuba","doi":"10.9734/ajeba/2024/v24i71411","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71411","url":null,"abstract":"Performance appraisal at the Independent Electoral and Boundaries commission’s staff remains a challenge. Due to poor administration and supervision of the performance contracts, employees have developed negative perception and reduced morale to embrace performance contracts. This affects negatively on work performance. The purpose of this study was to establish the influence of performance appraisal on the performance of Independent Electoral and Boundaries Commission staff in Nyanza Central and South Region, Kenya. The study adopted McGregor's Theory X and Theory Y. The study was modeled on a case study design. The population of study consisted of the 100 employees working under the arrangement of performance appraisal in the Independent Electoral and Boundaries Commission in Nyanza Central and South Regions. Instruments of data collection were questionnaires and interview schedule. Descriptive analysis was done to study distributions of variables in terms of means and standard deviation, while correlation analysis was used to show the direction and strength of the independent variables. Data which was collected was analyzed both descriptively and in correlation analysis. Data was presented using percentages, graphs and charts. The study anticipated that its findings would help build in the body of knowledge. The study found that performance appraisals impact employee performance in the IEBC Nyanza Central and South Region, Kenya. The study recommends that the IEBC in Kenya, in partnership with the IRA, should revise their performance appraisal policy to better support employees. The IEBC should incorporate effective reward management into their personal rewards. Furthermore, the IEBC in Kenya should enhance their training programs to include academic support and develop a comprehensive career development policy.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684999","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 : 2024-07-02DOI: 10.9734/ajeba/2024/v24i71408
Caroline Nyawira Maina, C. Olando
Even though DT-SACCOs in Kenya work extremely hard, their financial performance is greatly impacted by deteriorating level of capital sufficiency, liquidity, and asset quality which adversely affects their financial performance significantly. To address these issues, WOCCU has recommended the PEARLS framework to assist DT-SACCOS in mitigating credit risk management problems that are harming financial performance. In spite of an abundance of research on PEALRS and financial performance, conclusive findings about PEARLS's effect on DT-SACCOs' financial performance in Kenya remain to be seen. This is because majority of empirical study have conceptual gaps while some have contextual gaps and methodological gaps in addition to inconsistent result. The current study assessed PEARLS indicators which were observed as affecting the financial performance of Kenyan DT-SACCOs in an effort to close the knowledge gap. The specific objective to guide the study has been to find out the effect of; protection, effective financial structures, asset quality, and liquidity affect financial performance of Kenyan Deposit Taking Savings and credit co-operative societies. The research used a quantitative approach, which led to the adoption of the positivist paradigm and a correlational research design. The 176 DT-SACCOs that operated in Kenya between 2018 and 2022 were the target population. The study concludes that; protection has a statistically significant positive effect, effective financial structure among Kenyan DT-SACCOs has a statistically positive effect, assets quality has a statistically significant positive effect and liquidity has a positive effect on financial performance of Kenyan DT-SACCOs.
{"title":"Selected Pearls Indicators for Enhancing Financial Performance of Deposit Taking Savings and Credit Co-Operative Societies in Kenya","authors":"Caroline Nyawira Maina, C. Olando","doi":"10.9734/ajeba/2024/v24i71408","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71408","url":null,"abstract":"Even though DT-SACCOs in Kenya work extremely hard, their financial performance is greatly impacted by deteriorating level of capital sufficiency, liquidity, and asset quality which adversely affects their financial performance significantly. To address these issues, WOCCU has recommended the PEARLS framework to assist DT-SACCOS in mitigating credit risk management problems that are harming financial performance. In spite of an abundance of research on PEALRS and financial performance, conclusive findings about PEARLS's effect on DT-SACCOs' financial performance in Kenya remain to be seen. This is because majority of empirical study have conceptual gaps while some have contextual gaps and methodological gaps in addition to inconsistent result. The current study assessed PEARLS indicators which were observed as affecting the financial performance of Kenyan DT-SACCOs in an effort to close the knowledge gap. The specific objective to guide the study has been to find out the effect of; protection, effective financial structures, asset quality, and liquidity affect financial performance of Kenyan Deposit Taking Savings and credit co-operative societies. The research used a quantitative approach, which led to the adoption of the positivist paradigm and a correlational research design. The 176 DT-SACCOs that operated in Kenya between 2018 and 2022 were the target population. The study concludes that; protection has a statistically significant positive effect, effective financial structure among Kenyan DT-SACCOs has a statistically positive effect, assets quality has a statistically significant positive effect and liquidity has a positive effect on financial performance of Kenyan DT-SACCOs.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687059","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 : 2024-07-02DOI: 10.9734/ajeba/2024/v24i71410
Wenhui Huang, Shuyu Guo, Xuqing Cai
Under the background of economic globalization, China's manufacturing industry has always been one of the pillar industries of the national economy. The automobile manufacturing industry occupies a dominant position in the manufacturing industry. With the economic growth and improvement, the living standard of the population, people's demand for automobiles has gradually increased. Coupled with the current economic and social comprehensive green transformation and upgrading, for the automobile manufacturing industry, increasing R&D investment will help enterprises occupy the market and improve their financial performance. Therefore, this paper selects 64 Chinese A-share listed automobile manufacturers, with 320 samples. It uses Stata software to analyze the data of the relationship between R&D investment and various indicators. The empirical results show a negative correlation between R&D investment and the current financial performance of the automobile manufacturing industry. There is a lagging effect of R&D investment on the current financial performance of automobile manufacturing industry due to the existence of certain time problems with R&D projects. The negative impact of lag of period and a lag of two periods have a weakening trend. By studying and analyzing the data, it is hoped that suggestions related to R&D investment can be provided to the automobile manufacturing industry to promote the sustainable development of the enterprise.
在经济全球化背景下，中国制造业一直是国民经济的支柱产业之一。汽车制造业在制造业中占据主导地位。随着经济的发展和人民生活水平的提高，人们对汽车的需求逐渐增加。加之当前经济社会全面绿色转型升级，对于汽车制造业而言，加大研发投入有助于企业占领市场，提高财务绩效。因此，本文选取了 64 家中国 A 股上市汽车制造企业，共 320 个样本。本文使用 Stata 软件分析了研发投入与各项指标之间的关系数据。实证结果表明，研发投入与汽车制造业当期财务绩效之间存在负相关关系。由于研发项目存在一定的时间问题，研发投入对汽车制造业当期财务绩效存在滞后效应。滞后一期和滞后两期的负面影响有减弱的趋势。通过对数据的研究分析，希望能为汽车制造业提供研发投入的相关建议，促进企业的可持续发展。
{"title":"A Study on the Correlation between R&D Investment and Financial Performance: A Case of the Chinese Automobile Manufacturing Industry","authors":"Wenhui Huang, Shuyu Guo, Xuqing Cai","doi":"10.9734/ajeba/2024/v24i71410","DOIUrl":"https://doi.org/10.9734/ajeba/2024/v24i71410","url":null,"abstract":"Under the background of economic globalization, China's manufacturing industry has always been one of the pillar industries of the national economy. The automobile manufacturing industry occupies a dominant position in the manufacturing industry. With the economic growth and improvement, the living standard of the population, people's demand for automobiles has gradually increased. Coupled with the current economic and social comprehensive green transformation and upgrading, for the automobile manufacturing industry, increasing R&D investment will help enterprises occupy the market and improve their financial performance. Therefore, this paper selects 64 Chinese A-share listed automobile manufacturers, with 320 samples. It uses Stata software to analyze the data of the relationship between R&D investment and various indicators. The empirical results show a negative correlation between R&D investment and the current financial performance of the automobile manufacturing industry. There is a lagging effect of R&D investment on the current financial performance of automobile manufacturing industry due to the existence of certain time problems with R&D projects. The negative impact of lag of period and a lag of two periods have a weakening trend. By studying and analyzing the data, it is hoped that suggestions related to R&D investment can be provided to the automobile manufacturing industry to promote the sustainable development of the enterprise.","PeriodicalId":505152,"journal":{"name":"Asian Journal of Economics, Business and Accounting","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686198","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：