This research is qualitative research which aims to find out what forms of CSR implementation exist in domestic companies in East Java, the benefits for companies in implementing CSR and how CSR influences marketing. Respondents in this research were domestic companies in East Java. Data collection in the field was carried out using survey methods. After the data was obtained, data triangulation was carried out. Data analysis includes three components, namely data reduction, data presentation, and drawing conclusions. The research results found that the CSR programs implemented by companies on average were almost the same, namely helping to solve problems in the environment around the company. From implementing this CSR, the Company obtains several benefits, although they are not felt instantly at that time, namely increasing the company's goodwill so that stakeholders can feel the benefits. In the long term, the presence of goodwill and trust from the public will have an influence on customers and potential customers, namely attracting interest in buying the company's products or services. In the long term, this can increase the company's turnover so that the company can achieve its goals.
{"title":"Corporate social responsibility in marketing perspective","authors":"E. Siswati, Rika Liftiana, J. Pudjowati","doi":"10.36096/ijbes.v6i1.472","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.472","url":null,"abstract":"This research is qualitative research which aims to find out what forms of CSR implementation exist in domestic companies in East Java, the benefits for companies in implementing CSR and how CSR influences marketing. Respondents in this research were domestic companies in East Java. Data collection in the field was carried out using survey methods. After the data was obtained, data triangulation was carried out. Data analysis includes three components, namely data reduction, data presentation, and drawing conclusions. The research results found that the CSR programs implemented by companies on average were almost the same, namely helping to solve problems in the environment around the company. From implementing this CSR, the Company obtains several benefits, although they are not felt instantly at that time, namely increasing the company's goodwill so that stakeholders can feel the benefits. In the long term, the presence of goodwill and trust from the public will have an influence on customers and potential customers, namely attracting interest in buying the company's products or services. In the long term, this can increase the company's turnover so that the company can achieve its goals.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210735","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 global business environment is undergoing significant changes due to the impact of COVID-19 and shifts in workforce demographics, making organizational change an inevitable trend. In this context, the smooth adoption of smart manufacturing in the manufacturing industry is crucial for enhancing organizational value. Through a literature review, this study consolidated key factors related to organizational innovation and the implementation of smart manufacturing. The analytic hierarchy process (AHP) was employed to identify the prioritized sequence of key strategic actions for innovative operations. The results indicated that among 27 assessment indicators, motivation is the most crucial factor for organizational innovation/change. Subsequently, organizations must also prioritize strategic human resource deployment to accelerate the development of long-term organizational goals. This study further examined solutions to ensure both talent and organizational growth during the transformation of innovation strategies.
{"title":"Key action strategies for introducing smart manufacturing to small manufacturing industries","authors":"Jui-Chieh Chang, Liang-Chien Lee, Ren-Fang Chao","doi":"10.36096/ijbes.v6i1.468","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.468","url":null,"abstract":"The global business environment is undergoing significant changes due to the impact of COVID-19 and shifts in workforce demographics, making organizational change an inevitable trend. In this context, the smooth adoption of smart manufacturing in the manufacturing industry is crucial for enhancing organizational value. Through a literature review, this study consolidated key factors related to organizational innovation and the implementation of smart manufacturing. The analytic hierarchy process (AHP) was employed to identify the prioritized sequence of key strategic actions for innovative operations. The results indicated that among 27 assessment indicators, motivation is the most crucial factor for organizational innovation/change. Subsequently, organizations must also prioritize strategic human resource deployment to accelerate the development of long-term organizational goals. This study further examined solutions to ensure both talent and organizational growth during the transformation of innovation strategies. ","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210773","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}
Over the years, there have been huge variations in the growth performances of the economies in SSA. Whilst these disparities can be attributed to a wide range of factors, it is generally understood that differences in their economic structures explain the capacity for generating growth and absorbing shocks during a recession. This study contributes to literature by examining the impact of institutional quality and financial development on economic growth in low- and middle-income countries. Data was obtained from the World Bank and covered the period from 1975 to 2020. The study employed an ARDL model to establish both short and long run dynamics in the two sub samples. The study confirmed both short and long run causality from financial and institutional quality to growth. Institutional quality enhances growth in both low- and middle-income countries in the long run. Whilst the direction of the impact is the same, the magnitude of the impact of institutional quality is different within the two categories. Institutional quality plays a more significant role in low-income countries compared to middle income economies. The study brings out potential financial fragility and systemic risks in financial institutions among countries in SSA. Policies that enhance the quality, consistency, and uniformity of legal reasoning in judicial decisions are ideal. Reducing the risk profile for investments may enhance the flow of credit to the private sector by financial institutions.
{"title":"Financial development, institutional quality and economic growth in countries in sub-Saharan Africa (SSA)","authors":"Strike Mbulawa, Samuel Chingoiro","doi":"10.36096/ijbes.v6i1.461","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.461","url":null,"abstract":"Over the years, there have been huge variations in the growth performances of the economies in SSA. Whilst these disparities can be attributed to a wide range of factors, it is generally understood that differences in their economic structures explain the capacity for generating growth and absorbing shocks during a recession. This study contributes to literature by examining the impact of institutional quality and financial development on economic growth in low- and middle-income countries. Data was obtained from the World Bank and covered the period from 1975 to 2020. The study employed an ARDL model to establish both short and long run dynamics in the two sub samples. The study confirmed both short and long run causality from financial and institutional quality to growth. Institutional quality enhances growth in both low- and middle-income countries in the long run. Whilst the direction of the impact is the same, the magnitude of the impact of institutional quality is different within the two categories. Institutional quality plays a more significant role in low-income countries compared to middle income economies. The study brings out potential financial fragility and systemic risks in financial institutions among countries in SSA. Policies that enhance the quality, consistency, and uniformity of legal reasoning in judicial decisions are ideal. Reducing the risk profile for investments may enhance the flow of credit to the private sector by financial institutions.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 72","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210980","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 utilization of powerful machine learning models in artificial intelligence offers novel prospects for the identification of fraudulent activities. Artificial Intelligence (AI) is a revolutionary technological tool that enhances the ability to detect and prevent fraud by improving efficiency and effectiveness. This research offers a thorough examination of the utilization of artificial intelligence technology in the realm of procurement fraud prevention and detection. Additionally, it highlights the obstacles that arise when employing machine learning techniques for the purpose of identifying and preventing fraudulent activities. A mixed methods approach was employed in this study, wherein data was collected through an unstructured interview and questionnaire. We conducted a comprehensive review of relevant scholarly articles and online resources. The findings indicate that fraudsters are progressively advancing in their skills, which poses a significant challenge in detecting fraudulent activities. The advent of AI in fraud detection has demonstrated its transformative impact. AI has achieved unparalleled precision and velocity in crime detection and prevention, surpassing the capabilities of any human. Artificial intelligence (AI) enhances the capacity for automation. Accessing unstructured data in the form of spreadsheets, digital documents, and email inboxes poses a significant issue for the procurement function. In order to achieve a successful procurement transformation, businesses should prioritize the creation of essential tools, guarantee acceptance through the establishment of a superior user experience, and integrate both novel and pre-existing technology. It is imperative to disseminate knowledge to the general public regarding the escalating sophistication of artificial intelligence (AI) in the realm of fraud detection and prevention. This includes elucidating the potential benefits of AI in identifying patterns of suspicious activities, assessing its efficacy in predicting potential threats or fraudulent activities prior to their manifestation, and exploring its utility in analyzing historical data pertaining to both familiar and unfamiliar forms of fraudulent behavior.
{"title":"Artificial Intelligence for detecting and preventing procurement fraud","authors":"C. Ezeji","doi":"10.36096/ijbes.v6i1.477","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.477","url":null,"abstract":"The utilization of powerful machine learning models in artificial intelligence offers novel prospects for the identification of fraudulent activities. Artificial Intelligence (AI) is a revolutionary technological tool that enhances the ability to detect and prevent fraud by improving efficiency and effectiveness. This research offers a thorough examination of the utilization of artificial intelligence technology in the realm of procurement fraud prevention and detection. Additionally, it highlights the obstacles that arise when employing machine learning techniques for the purpose of identifying and preventing fraudulent activities. A mixed methods approach was employed in this study, wherein data was collected through an unstructured interview and questionnaire. We conducted a comprehensive review of relevant scholarly articles and online resources. The findings indicate that fraudsters are progressively advancing in their skills, which poses a significant challenge in detecting fraudulent activities. The advent of AI in fraud detection has demonstrated its transformative impact. AI has achieved unparalleled precision and velocity in crime detection and prevention, surpassing the capabilities of any human. Artificial intelligence (AI) enhances the capacity for automation. Accessing unstructured data in the form of spreadsheets, digital documents, and email inboxes poses a significant issue for the procurement function. In order to achieve a successful procurement transformation, businesses should prioritize the creation of essential tools, guarantee acceptance through the establishment of a superior user experience, and integrate both novel and pre-existing technology. It is imperative to disseminate knowledge to the general public regarding the escalating sophistication of artificial intelligence (AI) in the realm of fraud detection and prevention. This includes elucidating the potential benefits of AI in identifying patterns of suspicious activities, assessing its efficacy in predicting potential threats or fraudulent activities prior to their manifestation, and exploring its utility in analyzing historical data pertaining to both familiar and unfamiliar forms of fraudulent behavior.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210005","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}
Whenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee performance.
{"title":"Staff training and employee performance: Perspectives of the workplace","authors":"T. Nzimakwe, Reward Utete","doi":"10.36096/ijbes.v6i1.475","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.475","url":null,"abstract":"Whenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee performance.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210402","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}
Service quality is crucial for all service providers operating in the open market across all industries, particularly in the aviation sector, which produces billions of dollars in annual revenue from its services. The level of service quality significantly influences client satisfaction, and conversely, customer happiness reciprocally affects the service provider. In order to attain diverse company objectives, it is imperative to prioritize customer happiness specifically during the process of privatization. The primary objective of this research is to examine the influence of airport service quality on customer satisfaction within the context of a privatized airport. Descriptive and correlation analyses were utilized in the study. A total of 400 questionnaires were administered to passengers who embarked from Aden Adde International Airport as part of the study. Subsequently, the data was subjected to analysis utilizing a statistical software program designed for social science software (SPSS). The results of this analysis revealed a robust and positive correlation between Airport customer services and customer happiness. The study additionally revealed that a significant proportion of the airport's passengers expressed dissatisfaction with the services provided by Aden Adde International airport.
{"title":"The role of quality in airport services in passenger satisfaction at Aden Adde International Airport, Mogadishu, Somalia","authors":"Nuh Abdulle Farah, Umit Hacioglu","doi":"10.36096/ijbes.v6i1.480","DOIUrl":"https://doi.org/10.36096/ijbes.v6i1.480","url":null,"abstract":"Service quality is crucial for all service providers operating in the open market across all industries, particularly in the aviation sector, which produces billions of dollars in annual revenue from its services. The level of service quality significantly influences client satisfaction, and conversely, customer happiness reciprocally affects the service provider. In order to attain diverse company objectives, it is imperative to prioritize customer happiness specifically during the process of privatization. The primary objective of this research is to examine the influence of airport service quality on customer satisfaction within the context of a privatized airport. Descriptive and correlation analyses were utilized in the study. A total of 400 questionnaires were administered to passengers who embarked from Aden Adde International Airport as part of the study. Subsequently, the data was subjected to analysis utilizing a statistical software program designed for social science software (SPSS). The results of this analysis revealed a robust and positive correlation between Airport customer services and customer happiness. The study additionally revealed that a significant proportion of the airport's passengers expressed dissatisfaction with the services provided by Aden Adde International airport. ","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140210752","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}
Zambia has not trailed behind other nations in promoting financial inclusion, one of its deliverables in its 2022-2026 Eighth National Development Plan. The analysis focused on the likelihood of reaching this goal and the implications for bank operating stability. A mixed research (quantitative and qualitative) approach was used and drew respondents from several remote areas in Zambia. A hypothesis test on the observed against the hypothesised mean (p-value = 1.93e-38 and <0.005) rejected the null to accept the alternative presupposition that banks have a relevant role in achieving financial inclusion, but they are not a necessary ingredient. The correlation test also aligned at both 95 and 99% confidence levels, that supported the null hypothesis to conclude that there is no correlation between the preferred channels of financial services and the adequacy of financial inclusion. Respondents felt that the financial inclusion services would still be offered at basic satisfactory levels regardless of the available form of financial service provider. The Kruskal-Wallis test supplemented the findings with p = 3.09667e-20(<0.05) that rejected null to conclude that any form of financial services is statistically significant in delivering basic financial inclusion in Zambia. The implications for banks are the risks for continuous survival because of the popular user-friendly alternative channels. It is recommended that the Bank of Zambia should sustain the relative relevance of formal banks by balancing their contributions with other innovative financial service channels. Banks should integrate with new market entrants, or the future will have a banking system without banks. Regulators must support banks’ survival traits such as the light set of criteria in their Know Your Customer (KYC) package.
{"title":"The goal of financial inclusion in Zambia’s 8th national development plan","authors":"Peter Silwimba","doi":"10.36096/ijbes.v5i4.442","DOIUrl":"https://doi.org/10.36096/ijbes.v5i4.442","url":null,"abstract":"Zambia has not trailed behind other nations in promoting financial inclusion, one of its deliverables in its 2022-2026 Eighth National Development Plan. The analysis focused on the likelihood of reaching this goal and the implications for bank operating stability. A mixed research (quantitative and qualitative) approach was used and drew respondents from several remote areas in Zambia. A hypothesis test on the observed against the hypothesised mean (p-value = 1.93e-38 and <0.005) rejected the null to accept the alternative presupposition that banks have a relevant role in achieving financial inclusion, but they are not a necessary ingredient. The correlation test also aligned at both 95 and 99% confidence levels, that supported the null hypothesis to conclude that there is no correlation between the preferred channels of financial services and the adequacy of financial inclusion. Respondents felt that the financial inclusion services would still be offered at basic satisfactory levels regardless of the available form of financial service provider. The Kruskal-Wallis test supplemented the findings with p = 3.09667e-20(<0.05) that rejected null to conclude that any form of financial services is statistically significant in delivering basic financial inclusion in Zambia. The implications for banks are the risks for continuous survival because of the popular user-friendly alternative channels. It is recommended that the Bank of Zambia should sustain the relative relevance of formal banks by balancing their contributions with other innovative financial service channels. Banks should integrate with new market entrants, or the future will have a banking system without banks. Regulators must support banks’ survival traits such as the light set of criteria in their Know Your Customer (KYC) package.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":"2 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135658","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}
Aviation-oriented companies are continuously seeking innovative approaches to enhance the passenger experience and operational efficiency within the industry. The objective of this study is to evaluate the categorization of passengers' technological preferences in Turkish airports. The objectives of this study are to enhance the understanding of Aviation Companies in Turkey regarding the technology preferences of passengers and their fundamental needs, as well as to analyze the characteristics of passengers that are directly linked to their technological choices. This study employs purposive sampling with a sample size of 455. Various statistical techniques, such as regression, correlation, and descriptive statistics, are employed to analyze the data. The findings indicate that biometric technology, personal device utilization, customisation and customization, as well as streaming and on-demand entertainment, greatly influence the technological preferences of travelers. Nevertheless, contactless solutions, inflight Wi-Fi, and mobile apps and digital services do not influence the technological preferences of travelers.
{"title":"Optimizing passenger experience: A technological preference analysis in Turkish Airports","authors":"Muhammad Humza, Umit Hacioglu","doi":"10.36096/ijbes.v5i4.460","DOIUrl":"https://doi.org/10.36096/ijbes.v5i4.460","url":null,"abstract":"Aviation-oriented companies are continuously seeking innovative approaches to enhance the passenger experience and operational efficiency within the industry. The objective of this study is to evaluate the categorization of passengers' technological preferences in Turkish airports. The objectives of this study are to enhance the understanding of Aviation Companies in Turkey regarding the technology preferences of passengers and their fundamental needs, as well as to analyze the characteristics of passengers that are directly linked to their technological choices. This study employs purposive sampling with a sample size of 455. Various statistical techniques, such as regression, correlation, and descriptive statistics, are employed to analyze the data. The findings indicate that biometric technology, personal device utilization, customisation and customization, as well as streaming and on-demand entertainment, greatly influence the technological preferences of travelers. Nevertheless, contactless solutions, inflight Wi-Fi, and mobile apps and digital services do not influence the technological preferences of travelers.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":"60 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132649","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}
Placement and work facilities are the two main pillars in determining employee performance, but research that discusses both is still rare. This research aims to explore the role of work facilities in moderating employee placement on employee performance. This research involved 83 respondents from various fields of work at PT X with the aim of understanding how work placement and facilities influence employee performance. Samples were selected proportionally from various company divisions using probability sampling techniques. The research results show that work placement has a positive and significant influence on employee performance. Work facilities were also proven to have a positive and significant effect on performance. However, the hypothesis regarding the role of work facilities as a moderator of the effect of placement on performance was not proven (P value: 0.200). This means that work facilities at PT X do not significantly strengthen or weaken the relationship between placement and employee performance. Practically, these findings can serve as a guide to better understand the factors that influence employee performance and design more effective human resource management strategies.
职位安排和工作设施是决定员工绩效的两大支柱，但对这两者进行讨论的研究仍不多见。本研究旨在探讨工作设施在员工安置对员工绩效的调节作用。这项研究涉及 PT X 公司不同工作领域的 83 名受访者，旨在了解工作安排和工作设施如何影响员工绩效。样本采用概率抽样技术从公司各部门按比例抽取。研究结果表明，工作安排对员工绩效有积极而显著的影响。工作设施也被证明对绩效有积极和显著的影响。然而，关于工作安排对绩效影响的调节作用的假设没有得到证实（P 值：0.200）。这意味着 PT X 的工作设施并没有明显地加强或削弱职位安排与员工绩效之间的关系。实际上，这些研究结果可以作为指导，帮助我们更好地理解影响员工绩效的因素，并设计出更有效的人力资源管理战略。
{"title":"The role of work facilities in moderating the influence of placement on employee performance","authors":"Tri Mardiana","doi":"10.36096/ijbes.v5i4.453","DOIUrl":"https://doi.org/10.36096/ijbes.v5i4.453","url":null,"abstract":"Placement and work facilities are the two main pillars in determining employee performance, but research that discusses both is still rare. This research aims to explore the role of work facilities in moderating employee placement on employee performance. This research involved 83 respondents from various fields of work at PT X with the aim of understanding how work placement and facilities influence employee performance. Samples were selected proportionally from various company divisions using probability sampling techniques. The research results show that work placement has a positive and significant influence on employee performance. Work facilities were also proven to have a positive and significant effect on performance. However, the hypothesis regarding the role of work facilities as a moderator of the effect of placement on performance was not proven (P value: 0.200). This means that work facilities at PT X do not significantly strengthen or weaken the relationship between placement and employee performance. Practically, these findings can serve as a guide to better understand the factors that influence employee performance and design more effective human resource management strategies.","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":"70 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130563","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 study primarily investigates microfinance practices for sustainable community welfare. Microcredit aims to provide credit to poor people to help empower communities and reduce poverty. Community empowerment strategies can be carried out by increasing the productivity of poor communities to increase their income. A basic approach that emphasizes that the poor move from their current situation to a better position by empowering MSMEs through the distribution of microcredit by micro-financial institutions. Changes that will result in sustainable prosperity, decreasing inequality between regions, and reducing community income gaps. This research will use a qualitative approach using the case study method, which does not use statistical generalizations but uses logical and replicative generalizations. This research uses multiple cases with varying characteristics as research informants. Two microfinance institutions and ten cases of MSMEs will be selected in this research. The study was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Bantul. This district was chosen because Bantul has the highest poverty rate. This condition is the focus of attention for maximum treatment. This research will use three data collection methods: interview, observation, and documentation, to maintain the data's validity and reliability. Data triangulation was used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and within-case analysis. The research results found that microfinance practices carried out through Sharia Microfinance Institutions (SMFI), apart from focusing on providing accessible financing facilities, have also provided direction in developing MSMEs and taking action towards community welfare. SMFI regularly provides business development training to MSMEs
{"title":"Microfinance practices versus sustainable welfare","authors":"Dessy Isfianadewi","doi":"10.36096/ijbes.v5i4.457","DOIUrl":"https://doi.org/10.36096/ijbes.v5i4.457","url":null,"abstract":"This study primarily investigates microfinance practices for sustainable community welfare. Microcredit aims to provide credit to poor people to help empower communities and reduce poverty. Community empowerment strategies can be carried out by increasing the productivity of poor communities to increase their income. A basic approach that emphasizes that the poor move from their current situation to a better position by empowering MSMEs through the distribution of microcredit by micro-financial institutions. Changes that will result in sustainable prosperity, decreasing inequality between regions, and reducing community income gaps. This research will use a qualitative approach using the case study method, which does not use statistical generalizations but uses logical and replicative generalizations. This research uses multiple cases with varying characteristics as research informants. Two microfinance institutions and ten cases of MSMEs will be selected in this research. The study was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Bantul. This district was chosen because Bantul has the highest poverty rate. This condition is the focus of attention for maximum treatment. This research will use three data collection methods: interview, observation, and documentation, to maintain the data's validity and reliability. Data triangulation was used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and within-case analysis. The research results found that microfinance practices carried out through Sharia Microfinance Institutions (SMFI), apart from focusing on providing accessible financing facilities, have also provided direction in developing MSMEs and taking action towards community welfare. SMFI regularly provides business development training to MSMEs","PeriodicalId":150007,"journal":{"name":"International Journal of Business Ecosystem & Strategy (2687-2293)","volume":"61 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130718","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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