This study examined the interrelationships between leadership styles, innovation capabilities, government support and performance within the context of Village-Owned Enterprises (VOEs) in Indonesia. It investigated how these factors were interconnected and influenced the success of VOEs in East Java. The authors distributed questionnaires designed to collect data on the critical variables to 294 employees in legally certified VOEs across East Java. The collected data was analyzed using the partial least squares structural equation modelling (PLS-SEM) method. The study's findings revealed that transformational leadership, characterized by its focus on inspiring vision and empowerment significantly and transactional leadership which emphasize supervision do not directly affect the performance of VOEs but have an effect through the mediation of innovation capability and government support as moderating variables. Robust innovation capabilities had a positive impact on the financial sustainability and broader social performance of VOEs emphasizing the benefits of fostering innovation. Moreover, government support in the form of financial aid, capacity building and regulatory regulations moderated the association between innovative skills and VOE performance highlighting the significance of targeted government interventions in improving innovation outcomes. Furthermore, innovation capabilities played a vital mediating role in linking leadership styles to performance. Performance was mediated by improved innovation skills rather than being directly impacted by visionary leadership. This study had practical implications for policymakers and VOE managers, emphasizing embracing transformational leadership, fostering innovation capabilities and providing government support as interconnected drivers of success for Village-Owned Enterprises.
本研究以印度尼西亚的村办企业（VOEs）为背景，探讨了领导风格、创新能力、政府支持和绩效之间的相互关系。研究调查了这些因素是如何相互关联并影响东爪哇的村办企业取得成功的。作者向东爪哇294名经合法认证的村办企业员工发放了旨在收集关键变量数据的调查问卷。收集到的数据采用偏最小二乘法结构方程模型（PLS-SEM）方法进行分析。研究结果表明，以激励愿景和授权为主要特征的变革型领导和强调监督的交易型领导并不直接影响 VOE 的绩效，但通过作为调节变量的创新能力和政府支持的中介作用会产生影响。强大的创新能力对虚拟运营商的财务可持续性和更广泛的社会绩效产生了积极影响，强调了促进创新的益处。此外，政府以财政援助、能力建设和监管法规等形式提供的支持调节了创新技能与虚拟运营商绩效之间的关系，突出表明了政府有针对性的干预措施在改善创新成果方面的重要意义。此外，创新能力在领导风格与绩效之间也发挥了重要的中介作用。绩效受到创新技能提高的中介作用，而不是受到高瞻远瞩型领导的直接影响。这项研究对政策制定者和村办企业管理者具有实际意义，它强调接受变革型领导、培养创新能力和提供政府支持是村办企业取得成功的相互关联的驱动因素。
{"title":"Empowering village-owned enterprises: Examining leadership, innovation and government support","authors":"Harlina Sulistyorini, Margono Setiawan, Sumiati, Risna Wijayanti","doi":"10.53894/ijirss.v7i2.2909","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2909","url":null,"abstract":"This study examined the interrelationships between leadership styles, innovation capabilities, government support and performance within the context of Village-Owned Enterprises (VOEs) in Indonesia. It investigated how these factors were interconnected and influenced the success of VOEs in East Java. The authors distributed questionnaires designed to collect data on the critical variables to 294 employees in legally certified VOEs across East Java. The collected data was analyzed using the partial least squares structural equation modelling (PLS-SEM) method. The study's findings revealed that transformational leadership, characterized by its focus on inspiring vision and empowerment significantly and transactional leadership which emphasize supervision do not directly affect the performance of VOEs but have an effect through the mediation of innovation capability and government support as moderating variables. Robust innovation capabilities had a positive impact on the financial sustainability and broader social performance of VOEs emphasizing the benefits of fostering innovation. Moreover, government support in the form of financial aid, capacity building and regulatory regulations moderated the association between innovative skills and VOE performance highlighting the significance of targeted government interventions in improving innovation outcomes. Furthermore, innovation capabilities played a vital mediating role in linking leadership styles to performance. Performance was mediated by improved innovation skills rather than being directly impacted by visionary leadership. This study had practical implications for policymakers and VOE managers, emphasizing embracing transformational leadership, fostering innovation capabilities and providing government support as interconnected drivers of success for Village-Owned Enterprises.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140391463","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 : 2024-03-13DOI: 10.53894/ijirss.v7i2.2899
Kun Tian, Thanawan Phongsatha, Satha Phongsatha
The aim of this study was to investigate the impact of the interdisciplinary co-creation teaching model on students' design creativity and learning perception within a smart classroom environment. Eighty participants were randomly selected from a Chinese university and assigned to either the experimental or control group in this quasi-experimental study. Students in the control group were instructed with an interdisciplinary teaching model in the traditional classroom while respondents in the experimental group were taught with an interdisciplinary co-creation teaching model in a smart classroom environment. The two groups' differences in perceptions of learning and design creativity were measured using pre- and post-tests. Independent t-test samples were used to analyze data for design creativity and paired sample t-tests were used for learning perception. The results showed that there are significant differences between the impact of the interdisciplinary teaching model used in a traditional classroom environment and the interdisciplinary co-creation teaching model used in a smart classroom environment on students' design creativity and learning perception. The latter approach was found to be more effective in improving students' design creativity and learning perception. It can be seen that the interdisciplinary co-creation teaching model in the smart classroom environment is not only a teaching tool but also a new teaching model. It allows students to obtain comprehensive learning and perception improvements during the learning process thereby improving students' design creativity.
本研究旨在探讨跨学科共同创造教学模式对智能课堂环境下学生设计创造力和学习感知的影响。在这项准实验研究中，我们从中国一所大学随机抽取了 80 名参与者，并将他们分配到实验组或对照组。 对照组学生在传统课堂中接受跨学科教学模式的指导，而实验组学生则在智慧课堂环境中接受跨学科共同创造教学模式的指导。两组学生在学习感知和设计创造力方面的差异通过前测和后测进行测量。 设计创造力采用独立样本 t 检验进行数据分析，学习感知采用配对样本 t 检验进行数据分析。结果表明，传统课堂环境下采用的跨学科教学模式与智慧课堂环境下采用的跨学科共创教学模式对学生设计创造力和学习感知的影响存在显著差异。结果发现，后者在提高学生的设计创造力和学习感知力方面更为有效。由此可见，智慧课堂环境下的跨学科共创教学模式不仅是一种教学手段，也是一种新的教学模式。它能让学生在学习过程中获得全面的学习和感知提升，从而提高学生的设计创造力。
{"title":"The impact of an interdisciplinary co-creation teaching model on the design and creative abilities of college students in a smart classroom environment","authors":"Kun Tian, Thanawan Phongsatha, Satha Phongsatha","doi":"10.53894/ijirss.v7i2.2899","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2899","url":null,"abstract":"The aim of this study was to investigate the impact of the interdisciplinary co-creation teaching model on students' design creativity and learning perception within a smart classroom environment. Eighty participants were randomly selected from a Chinese university and assigned to either the experimental or control group in this quasi-experimental study. Students in the control group were instructed with an interdisciplinary teaching model in the traditional classroom while respondents in the experimental group were taught with an interdisciplinary co-creation teaching model in a smart classroom environment. The two groups' differences in perceptions of learning and design creativity were measured using pre- and post-tests. Independent t-test samples were used to analyze data for design creativity and paired sample t-tests were used for learning perception. The results showed that there are significant differences between the impact of the interdisciplinary teaching model used in a traditional classroom environment and the interdisciplinary co-creation teaching model used in a smart classroom environment on students' design creativity and learning perception. The latter approach was found to be more effective in improving students' design creativity and learning perception. It can be seen that the interdisciplinary co-creation teaching model in the smart classroom environment is not only a teaching tool but also a new teaching model. It allows students to obtain comprehensive learning and perception improvements during the learning process thereby improving students' design creativity.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"45 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248003","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 : 2024-03-13DOI: 10.53894/ijirss.v7i2.2895
Niyazova Guliyash, Aibergen Aikumis, Menlibekova Gulbakhyt, Kopishev Eldar
This paper underscores the pressing need to address educational challenges in Kazakhstan. The government's educational system development policy seeks to comprehensively modernize education across all levels emphasizing innovative teaching methods and tools. A crucial responsibility that necessitates the development of effective procedures and methods is ensuring the efficacy of educational programmes. This research employs both theoretical methods (such as analysis, generalization and classification) and empirical methods (including surveys and mathematical statistics) to investigate this topic. The statistical significance of the results can be determined by applying the student's t-test after the survey data has undergone mathematical processing. This rigorous approach adds credibility to the findings and enhances the reliability of the research. This paper posits that internal monitoring of educational programs yields significant insights into educational quality. This approach evaluates indicators related to student satisfaction and learning outcomes, recognizing that program quality is dynamic and influenced by evolving educational needs, teacher competence and material and technical infrastructure. In a nutshell, educational program monitoring assumes a pivotal role in enhancing the quality of education in Kazakhstan. This monitoring system contributes to continuous efforts to modernize and align the education system with changing demands and standards by evaluating learning results and student satisfaction. This provides valuable information for programme enhancement.
本文件强调了应对哈萨克斯坦教育挑战的迫切需要。政府的教育系统发展政策旨在全面实现各级教育的现代化，强调创新的教学方法和工具。必须制定有效的程序和方法，确保教育计划的有效性。本研究采用了理论方法（如分析、归纳和分类）和实证方法（包括调查和数理统计）来研究这一课题。调查数据经过数理处理后，可以通过学生 t 检验来确定结果的统计意义。这种严谨的方法增加了研究结果的可信度，提高了研究的可靠性。本文认为，对教育项目的内部监控能为了解教育质量提供重要依据。这种方法评估与学生满意度和学习成果相关的指标，同时认识到课程质量是动态的，受不断变化的教育需求、教师能力以及物质和技术基础设施的影响。总之，教育方案监测在提高哈萨克斯坦教育质量方面发挥着关键作用。通过评估学习成绩和学生满意度，该监测系统有助于不断努力实现教育系统的现代化，并使其符合不断变化的需求和标准。这为改进计划提供了宝贵的信息。
{"title":"Development of a quality management monitoring system for social and pedagogical educational programs","authors":"Niyazova Guliyash, Aibergen Aikumis, Menlibekova Gulbakhyt, Kopishev Eldar","doi":"10.53894/ijirss.v7i2.2895","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2895","url":null,"abstract":"This paper underscores the pressing need to address educational challenges in Kazakhstan. The government's educational system development policy seeks to comprehensively modernize education across all levels emphasizing innovative teaching methods and tools. A crucial responsibility that necessitates the development of effective procedures and methods is ensuring the efficacy of educational programmes. This research employs both theoretical methods (such as analysis, generalization and classification) and empirical methods (including surveys and mathematical statistics) to investigate this topic. The statistical significance of the results can be determined by applying the student's t-test after the survey data has undergone mathematical processing. This rigorous approach adds credibility to the findings and enhances the reliability of the research. This paper posits that internal monitoring of educational programs yields significant insights into educational quality. This approach evaluates indicators related to student satisfaction and learning outcomes, recognizing that program quality is dynamic and influenced by evolving educational needs, teacher competence and material and technical infrastructure. In a nutshell, educational program monitoring assumes a pivotal role in enhancing the quality of education in Kazakhstan. This monitoring system contributes to continuous efforts to modernize and align the education system with changing demands and standards by evaluating learning results and student satisfaction. This provides valuable information for programme enhancement.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140245395","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 examines the role of internal locus of control and social support in the resilience of COVID-19 survivors. Being exposed to COVID-19 has made the survivors psychologically and socially worse. Survivors require a certain readiness to rise. Their capability to adapt to COVID-19 should be gained once they can determine their own attributions to COVID-19 exposure and social support. This study aimed to examine the relationship between internal locus of control and social support for the resilience of COVID-19 survivors. This study involved 100 survivors of COVID-19 with a purposive sampling technique. Data were collected using the scale of resilience, internal locus of control, and social support constructed under Likert’s model. They were distributed via Google Forms on social media. This study found that 1) there is a relationship between internal locus of control and social support and the resilience of COVID-19 survivors; 2) there is a positive relationship between internal locus of control and the resilience of COVID-19 survivors; and 3) there is a relationship between social support and the resilience of COVID-19 survivors. Therefore, survivors’ ability to control any condition while exposed to COVID-19 and social support can accelerate their resilience. Meanwhile, the internal locus of control plays a greater role than that of social support. This study is expected to be a scientific basis in psychology for counselling clients of COVID-19 survivors.
{"title":"Resilience of COVID-19 survivors: The role of internal locus of control and social support","authors":"A. Matulessy, Igaa Noviekayati, Mamang Efendy, Devi Puspitasari, Aswina Mayang Safitri","doi":"10.53894/ijirss.v7i2.2884","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2884","url":null,"abstract":"This study examines the role of internal locus of control and social support in the resilience of COVID-19 survivors. Being exposed to COVID-19 has made the survivors psychologically and socially worse. Survivors require a certain readiness to rise. Their capability to adapt to COVID-19 should be gained once they can determine their own attributions to COVID-19 exposure and social support. This study aimed to examine the relationship between internal locus of control and social support for the resilience of COVID-19 survivors. This study involved 100 survivors of COVID-19 with a purposive sampling technique. Data were collected using the scale of resilience, internal locus of control, and social support constructed under Likert’s model. They were distributed via Google Forms on social media. This study found that 1) there is a relationship between internal locus of control and social support and the resilience of COVID-19 survivors; 2) there is a positive relationship between internal locus of control and the resilience of COVID-19 survivors; and 3) there is a relationship between social support and the resilience of COVID-19 survivors. Therefore, survivors’ ability to control any condition while exposed to COVID-19 and social support can accelerate their resilience. Meanwhile, the internal locus of control plays a greater role than that of social support. This study is expected to be a scientific basis in psychology for counselling clients of COVID-19 survivors.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"18 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140249015","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: 10.53894/ijirss.v7i2.2892
J. Garrido-Arismendis, Yersi-Luis Huamán-Romaní, Yaneth Calla-Chumpisuca, Alexis Leon-Ramirez, Yajhayda Bellido-Ascarza
The study examines the perspective on the consumption of ultra-processed foods among university students. The consumption of ultra-processed foods by university students has always been a concern for nutrition specialists and university specialists because there is no law that regulates sales in sales centers or stores near the university as there is for regular education. There is also no culture of healthy food consumption in university students, despite being trained in healthy food and eating habits that students immediately fall back on, so the purpose of this research is to analyze and describe the prospects of consumption of ultra-processed foods among university student in the province of Sullana. For which a descriptive design was used with a quantitative, correlational, and intentional sampling approach due to the ease of digital communication, a survey was used in which any student could participate voluntarily and anonymously. This questionnaire had 26 questions whose answers were on a Likert scale of five points, in which 827 university students participated. The results show that there is a high level of consumption of ultra-processed foods among university students, with preferences for pastry products, cookies, and chocolates. It is concluded that university students do not have a culture of healthy food consumption and consume all kinds of products found in the surroundings of the university, and these are what are called "junk" foods that damage health sooner or later.
{"title":"Perspective on the consumption of ultra-processed foods among university students","authors":"J. Garrido-Arismendis, Yersi-Luis Huamán-Romaní, Yaneth Calla-Chumpisuca, Alexis Leon-Ramirez, Yajhayda Bellido-Ascarza","doi":"10.53894/ijirss.v7i2.2892","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2892","url":null,"abstract":"The study examines the perspective on the consumption of ultra-processed foods among university students. The consumption of ultra-processed foods by university students has always been a concern for nutrition specialists and university specialists because there is no law that regulates sales in sales centers or stores near the university as there is for regular education. There is also no culture of healthy food consumption in university students, despite being trained in healthy food and eating habits that students immediately fall back on, so the purpose of this research is to analyze and describe the prospects of consumption of ultra-processed foods among university student in the province of Sullana. For which a descriptive design was used with a quantitative, correlational, and intentional sampling approach due to the ease of digital communication, a survey was used in which any student could participate voluntarily and anonymously. This questionnaire had 26 questions whose answers were on a Likert scale of five points, in which 827 university students participated. The results show that there is a high level of consumption of ultra-processed foods among university students, with preferences for pastry products, cookies, and chocolates. It is concluded that university students do not have a culture of healthy food consumption and consume all kinds of products found in the surroundings of the university, and these are what are called \"junk\" foods that damage health sooner or later.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"15 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248332","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: 10.53894/ijirss.v7i2.2890
Nihir Basumatary, M. Dewri
The paper is devoted to exploring the exact solution of the modified Einstein's field in the setting of spatially homogeneous and anisotropic Bianchi type III spacetime in modified f(G) gravity, where G is Gauss-Bonnet invariant. Here, by employing the hyperbolic hybrid scale factor a = emt (sinh(t))n in which m,n are positive constants, with the power-law f (G)=βGm+1 model where β,m are arbitrary constants, we computed the physical and geometrical properties of the cosmological parameters of the model. The results of the model parameters are well satisfied with recent cosmological observational data. To get the exact solution of the field equation of the Bianchi type III model in the presence of an anisotropic dark fluid, we consider the relation in which the shear scalar (σ) is proportional to the expansion scalar (θ), resulting in C = An. Furthermore, the energy conditions for the power-law f(G) model are graphically examined, and it turns out that the null energy condition (NEC), weak energy condition (WEC), and dominant energy condition (DEC) are well satisfied except for the strong energy condition (SEC). The violation of the strong energy conditions (SEC) indicates the f(G) model supports the universe's current expansion with negative pressure, having a quintessence model in the present and Λ cold dark matter (CDM) model in the future.
本文致力于探索修正 f(G) 引力下空间均匀和各向异性比安奇 III 型时空中修正爱因斯坦场的精确解，其中 G 为高斯-波奈不变式。在这里，我们利用双曲混合尺度因子 a = emt (sinh(t))n （其中 m,n 为正常数）和幂律 f (G)=βGm+1 模型（其中 β,m 为任意常数），计算了模型宇宙学参数的物理和几何特性。模型参数的计算结果与最近的宇宙学观测数据十分吻合。为了得到存在各向异性暗流体的比安奇 III 型模型场方程的精确解，我们考虑了剪切标量（σ）与膨胀标量（θ）成正比的关系，结果是 C = An。此外，对幂律 f(G) 模型的能量条件进行了图解检验，结果发现除了强能量条件（SEC）之外，空能量条件（NEC）、弱能量条件（WEC）和主导能量条件（DEC）都得到了很好的满足。对强能量条件（SEC）的违反表明，f(G)模型支持宇宙目前的负压膨胀，现在是五元模型，未来是Λ冷暗物质（CDM）模型。
{"title":"An anisotropic cosmological model with Bianchi type III universe in f(G) gravity","authors":"Nihir Basumatary, M. Dewri","doi":"10.53894/ijirss.v7i2.2890","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2890","url":null,"abstract":"The paper is devoted to exploring the exact solution of the modified Einstein's field in the setting of spatially homogeneous and anisotropic Bianchi type III spacetime in modified f(G) gravity, where G is Gauss-Bonnet invariant. Here, by employing the hyperbolic hybrid scale factor a = emt (sinh(t))n in which m,n are positive constants, with the power-law f (G)=βGm+1 model where β,m are arbitrary constants, we computed the physical and geometrical properties of the cosmological parameters of the model. The results of the model parameters are well satisfied with recent cosmological observational data. To get the exact solution of the field equation of the Bianchi type III model in the presence of an anisotropic dark fluid, we consider the relation in which the shear scalar (σ) is proportional to the expansion scalar (θ), resulting in C = An. Furthermore, the energy conditions for the power-law f(G) model are graphically examined, and it turns out that the null energy condition (NEC), weak energy condition (WEC), and dominant energy condition (DEC) are well satisfied except for the strong energy condition (SEC). The violation of the strong energy conditions (SEC) indicates the f(G) model supports the universe's current expansion with negative pressure, having a quintessence model in the present and Λ cold dark matter (CDM) model in the future.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"21 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248514","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: 10.53894/ijirss.v7i2.2883
S. Abdullayev, Natalya Tokmurzina-Kobernyak, G. Ashirbayev, G. Bakyt, Aliya Izbairova
The purpose of this article is the mathematical modeling of a spring-friction set of a freight car trolley depending on the profile of the railway track. The article uses the methodology of the results of the generalized model of power interaction of friction pairs "pressure beam-friction wedge" and "friction wedge-friction bar" of the spring-friction set of the cart 18-578 in the mechanical system "track-car-load," in a particular case cart from which such models of the e of the freight car 18-100 can be obtained. The manuscript contains a software study using a computer simulation of a freight wagon trolley, which complements the experimental studies. The mathematical (symbolic) method in the computer algebra system MathCAD (a type of computer-aided design system) is used to solve the equations of equilibrium of the supercharger beam as a real object. In the course of the experimental study, a computational mathematical model of the force action of friction pairs of spring-absorbing trolley apparatuses was developed, and the results of calculations of the reaction of the friction bar to the friction wedge were mathematically obtained. The optimal parameters were obtained analytically, and the indicators of the angles of inclination of the contact surfaces of the trolley of the freight car were justified.
{"title":"Simulation of spring-friction set of freight car truck, taking into account track profile","authors":"S. Abdullayev, Natalya Tokmurzina-Kobernyak, G. Ashirbayev, G. Bakyt, Aliya Izbairova","doi":"10.53894/ijirss.v7i2.2883","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2883","url":null,"abstract":"The purpose of this article is the mathematical modeling of a spring-friction set of a freight car trolley depending on the profile of the railway track. The article uses the methodology of the results of the generalized model of power interaction of friction pairs \"pressure beam-friction wedge\" and \"friction wedge-friction bar\" of the spring-friction set of the cart 18-578 in the mechanical system \"track-car-load,\" in a particular case cart from which such models of the e of the freight car 18-100 can be obtained. The manuscript contains a software study using a computer simulation of a freight wagon trolley, which complements the experimental studies. The mathematical (symbolic) method in the computer algebra system MathCAD (a type of computer-aided design system) is used to solve the equations of equilibrium of the supercharger beam as a real object. In the course of the experimental study, a computational mathematical model of the force action of friction pairs of spring-absorbing trolley apparatuses was developed, and the results of calculations of the reaction of the friction bar to the friction wedge were mathematically obtained. The optimal parameters were obtained analytically, and the indicators of the angles of inclination of the contact surfaces of the trolley of the freight car were justified.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"11 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251337","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: 10.53894/ijirss.v7i2.2882
Vu Thi Thu Huong, Pham Van Kiem, Nguyen Thu Thuy, Vu Thi Huyen Trang, Hoang Thi Thu Ha
This article uses a gravity model framework to examine the impact of green logistics on Vietnam's exports to countries participating in the Regional Comprehensive Economic Partnership (RCEP). The study uses a generalized least squares (GLS) estimation method based on panel data for the period 2010-2018 and has reliable sources. The results of empirical research have found the following main findings: (i) Logistics performance, encompassing cost, reliability, and time-related factors, significantly and positively influence Vietnam's exports; (ii) The interaction effects between supply chain input components (customs, infrastructure, and services) and CO2 emissions from the transportation sector have a positive impact on Vietnam's exports; (iii) The supply chain input components demonstrate direct and positive effects on exports when implemented in conjunction with their interaction effects with CO2 emissions from the transportation sector; (iv) The emissions of CO2 from Vietnam's transportation sector exert a negative influence on exports; (v) Adopting a green logistics approach that focuses on reducing CO2 emissions from the transportation sector demonstrates a positive influence on Vietnam's exports. This influence is observed through direct and moderating effects, indicating the potential for sustainable practices to foster export growth. These research findings provide valuable insights for managers and policymakers in the formulation of informed decisions related to the development and promotion of green logistics. By embracing sustainable practices and aligning export growth with environmental goals, Vietnam can enhance its competitiveness while contributing to a greener future.
{"title":"Assessing the impact of green logistics performance on vietnam's export trade to regional comprehensive economic partnership countries","authors":"Vu Thi Thu Huong, Pham Van Kiem, Nguyen Thu Thuy, Vu Thi Huyen Trang, Hoang Thi Thu Ha","doi":"10.53894/ijirss.v7i2.2882","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2882","url":null,"abstract":"This article uses a gravity model framework to examine the impact of green logistics on Vietnam's exports to countries participating in the Regional Comprehensive Economic Partnership (RCEP). The study uses a generalized least squares (GLS) estimation method based on panel data for the period 2010-2018 and has reliable sources. The results of empirical research have found the following main findings: (i) Logistics performance, encompassing cost, reliability, and time-related factors, significantly and positively influence Vietnam's exports; (ii) The interaction effects between supply chain input components (customs, infrastructure, and services) and CO2 emissions from the transportation sector have a positive impact on Vietnam's exports; (iii) The supply chain input components demonstrate direct and positive effects on exports when implemented in conjunction with their interaction effects with CO2 emissions from the transportation sector; (iv) The emissions of CO2 from Vietnam's transportation sector exert a negative influence on exports; (v) Adopting a green logistics approach that focuses on reducing CO2 emissions from the transportation sector demonstrates a positive influence on Vietnam's exports. This influence is observed through direct and moderating effects, indicating the potential for sustainable practices to foster export growth. These research findings provide valuable insights for managers and policymakers in the formulation of informed decisions related to the development and promotion of green logistics. By embracing sustainable practices and aligning export growth with environmental goals, Vietnam can enhance its competitiveness while contributing to a greener future.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"25 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248070","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 : 2024-03-11DOI: 10.53894/ijirss.v7i2.2876
Ruoxi Ge, Xiangyu Wan
This paper investigates the impact of a high-commitment work system on Chinese employees' organizational identification. It constructed a theoretical model with perceived insider status as a mediator and a climate for inclusion as a moderator, which was then empirically tested. In this study, an empirical examination was conducted using a sample of in-service employees from 13 companies within China. A quantitative research methodology was employed through a questionnaire survey, and a total of 750 valid sample data points were collected for hypothesis testing using data analysis. The research results indicate that (1) high-commitment work system positively influences employees' organizational identification; (2) high-commitment work system has a positive impact on employees' perceived insider status; (3) employees' perceived insider status positively affects their organizational identification; (4) perceived insider status partially mediates the impact of a high-commitment work system on organizational identification; (5) climate of inclusivity can augment the positive influence of a high-commitment work system on organizational identification. (6) climate of inclusivity can also enhance the positive impact of perceived insider status on organizational identification. High-commitment work systems not only have a direct positive impact on employees' organizational identification but can also indirectly enhance it by elevating employees' internalized identity levels. In addition, an inclusive environment can enhance the positive impact of both high-commitment work systems and internalized identity on organizational identification individually. The findings can broaden empirical research in the context of Chinese culture, facilitating a better understanding of the relationship between high-commitment work systems and organizational identification. It extends empirical research on both aspects within the Chinese context. Moreover, optimizing work design and fostering an inclusive team atmosphere can elevate employees' identification with the organization, offering more insights to business leaders.
{"title":"The impact of high-commitment work systems on organizational identification","authors":"Ruoxi Ge, Xiangyu Wan","doi":"10.53894/ijirss.v7i2.2876","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2876","url":null,"abstract":"This paper investigates the impact of a high-commitment work system on Chinese employees' organizational identification. It constructed a theoretical model with perceived insider status as a mediator and a climate for inclusion as a moderator, which was then empirically tested. In this study, an empirical examination was conducted using a sample of in-service employees from 13 companies within China. A quantitative research methodology was employed through a questionnaire survey, and a total of 750 valid sample data points were collected for hypothesis testing using data analysis. The research results indicate that (1) high-commitment work system positively influences employees' organizational identification; (2) high-commitment work system has a positive impact on employees' perceived insider status; (3) employees' perceived insider status positively affects their organizational identification; (4) perceived insider status partially mediates the impact of a high-commitment work system on organizational identification; (5) climate of inclusivity can augment the positive influence of a high-commitment work system on organizational identification. (6) climate of inclusivity can also enhance the positive impact of perceived insider status on organizational identification. High-commitment work systems not only have a direct positive impact on employees' organizational identification but can also indirectly enhance it by elevating employees' internalized identity levels. In addition, an inclusive environment can enhance the positive impact of both high-commitment work systems and internalized identity on organizational identification individually. The findings can broaden empirical research in the context of Chinese culture, facilitating a better understanding of the relationship between high-commitment work systems and organizational identification. It extends empirical research on both aspects within the Chinese context. Moreover, optimizing work design and fostering an inclusive team atmosphere can elevate employees' identification with the organization, offering more insights to business leaders.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"12 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252838","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 : 2024-03-11DOI: 10.53894/ijirss.v7i2.2881
Ting Tin Tin, Enoch Hii Chen Sheng, Loo Seng Xian, Lee Pei Yee, Yeap Sheng Kit
The paper examines the machine learning classification of rainfall forecasts using Austin weather data. Rain is a natural phenomenon that is essential for the Earth's water cycle. Rain brings benefits to daily lives and also causes disasters, such as floods, which will endanger lives in addition to causing great losses. Due to this, many methods have been studied and experimented with to find a solution to predict rainfall and prevent tragedies from happening. In this research, the Austin weather dataset is applied to make predictions of rainfall through the implementation of machine learning models. The models used to predict rainfall based on the data set were Extreme Gradient Boosting, Support Vector Machine, Long Short-Term Memory, and Random Forest models. 21 variables with 1319 records were present in the dataset, but the variables used for the modelling were 18 variables from the original data, and 1 variable, “Precipitation Sum,” was converted to the variable “Precipitation Range,” which contained the classes “no rain,” “small rain,” “moderate rain,” and “heavy rain” based on specific value ranges. After training and predicting the data on the models, it was shown that Extreme Gradient Boosting gave the best results of 85.17% accuracy, 83.19% F1 score, 85.17% recall score, and 82.14% precision score, and was able to give predictions on all 4 classes of rainfall. This study and the way to implement machine learning models for rainfall prediction have the potential to provide new insights and methodologies for future studies and pave the way for finding a high-accuracy rainfall prediction method to avoid disaster.
{"title":"Machine learning classification of rainfall forecasts using Austin weather data","authors":"Ting Tin Tin, Enoch Hii Chen Sheng, Loo Seng Xian, Lee Pei Yee, Yeap Sheng Kit","doi":"10.53894/ijirss.v7i2.2881","DOIUrl":"https://doi.org/10.53894/ijirss.v7i2.2881","url":null,"abstract":"The paper examines the machine learning classification of rainfall forecasts using Austin weather data. Rain is a natural phenomenon that is essential for the Earth's water cycle. Rain brings benefits to daily lives and also causes disasters, such as floods, which will endanger lives in addition to causing great losses. Due to this, many methods have been studied and experimented with to find a solution to predict rainfall and prevent tragedies from happening. In this research, the Austin weather dataset is applied to make predictions of rainfall through the implementation of machine learning models. The models used to predict rainfall based on the data set were Extreme Gradient Boosting, Support Vector Machine, Long Short-Term Memory, and Random Forest models. 21 variables with 1319 records were present in the dataset, but the variables used for the modelling were 18 variables from the original data, and 1 variable, “Precipitation Sum,” was converted to the variable “Precipitation Range,” which contained the classes “no rain,” “small rain,” “moderate rain,” and “heavy rain” based on specific value ranges. After training and predicting the data on the models, it was shown that Extreme Gradient Boosting gave the best results of 85.17% accuracy, 83.19% F1 score, 85.17% recall score, and 82.14% precision score, and was able to give predictions on all 4 classes of rainfall. This study and the way to implement machine learning models for rainfall prediction have the potential to provide new insights and methodologies for future studies and pave the way for finding a high-accuracy rainfall prediction method to avoid disaster.","PeriodicalId":282613,"journal":{"name":"International Journal of Innovative Research and Scientific Studies","volume":"84 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251660","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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