Influence Of External Factors Research Articles

PERSEPSI PEREMPUAN GENERASI MILENIAL TERHADAP KEHADIRAN ANAK: KAJIAN PENDAHULUAN

The presence of children is interpreted as the hope of the family, the successor of offspring, the bearer of happiness and blessings. But along with the times, many married couples choose not to have children, this is certainly contrary to the construction of Indonesian society related to the concept of the ideal family. This can be seen from the decline in Total Fertility Rate in Indonesia. This study used descriptive quantitative methods with purposive sampling techniques based on criteria, namely women aged 27-35 years who belonged to the millennial generation a total of 50 respondents. Primary data sources through online penelitians. This study uses Schmitt & Schmitt's theory of direct and constructive perception to see the influence of internal and external factors in the formation of perception. The results show that individual internal and external factors influence millennial women's perceptions of the presence of children in marriage. Then, the millennial generation who prioritizes maturity, stability and readiness from various factors, interprets the presence of children in the family is not a necessity and does not make children the only source of happiness even though it is undeniable that children become a complement to the family. Further studies are needed to obtain more comprehensive data. In addition, premarital education and counseling programs, gender equality campaigns, and community support and social networks can be used as recommendations. Keywords: perception, millennial, child, marriage

Factors for improving productivity in the New Zealand residential construction sector

Purpose The New Zealand (NZ) construction industry significantly impacts the country's economy and is one of the largest sectors in terms of total employment. However, a persistent and pressing need for improvement exists. Meeting the ongoing demand for housing and urban development requires enhancing residential construction productivity. The purpose of this paper is to determine what factors improve construction productivity in the NZ residential construction sector. Design/methodology/approach Data were obtained from construction industry bodies using a semi-structured online questionnaire survey. From 305 online questionnaires administered, 106 samples were completed by residential industry construction professionals across NZ. The data were analysed using descriptive and inferential statistics to establish the importance of empirical factors for improving construction productivity in the NZ residential construction sector. Findings The Garrett ranking technique revealed this study's top five factors for enhancing construction productivity: adequate design, communication, quality management (QM), supervision and organizational training. Other factors, such as unskilled workers, skilled workers, reworks and employee motivation, ranked less important. Research limitations/implications While providing a valuable exploration of factors that can positively impact residential construction productivity in NZ, this study contains certain limitations. The study's focus on a specific geographic location and a small sample size (n = 106) may restrict the generalizability of its findings to other regions or countries. Furthermore, the reliance on self-reported data from industry professionals introduces the possibility of bias or inaccuracies in the results. In addition, this study did not investigate the potential influence of external factors, such as economic conditions or regulatory changes, on residential construction productivity. Despite these limitations, this study presents a foundation for future research on this topic. Future research could address these limitations by conducting multi-country studies and using objective productivity measures to provide a broader context. In addition, open-ended questions could be used to collect more detailed qualitative data, enhancing this study's dependability. This methodological constraint could have omitted important experiential nuances, which could be explored in future research to provide more comprehensive and rigorous findings. Practical implications Research studies indicate that several construction productivity factors have remained unchanged for over three decades (Arditi and Mochtar, 1996; Hasan et al., 2018). The implications of this study are significant for the residential sector in NZ. By identifying the key factors that can improve productivity in the sector, such as complete design and specifications, effective communication, quality management, adequate supervision, training, skilled labour and employee motivation, this study provides valuable insights for industry practitioners and policymakers. It expands the existing productivity literature around factors for improving NZ residential construction productivity. One important implication of this study is the link between QM and improved productivity, highlighting the significance of strategic organizational investments in QM and the added opportunity presented to policymakers concerning industry-wide improvements. Moreover, the findings suggest that investing in worker training is essential. Ensuring workers possess the necessary skills and knowledge to perform their tasks efficiently can enhance productivity and project outcomes. In conclusion, this study's findings emphasize the factors that can improve construction productivity in residential projects in NZ, ultimately leading to improved outcomes for all stakeholders. Originality/value This research offers a unique perspective on improving residential construction productivity in NZ by identifying and analysing specific factors that can enhance efficiency across the sector. It provides novel findings and valuable insight into possible organizational improvement strategies yet considered in the NZ residential sector.

Efficiency of financial support and factors influencing strategic emerging industries: Based on an empirical analysis of listed companies in China

This paper analyzes the characteristics and influence mechanisms of financial support for China’s strategic emerging industries. Using a sample of 356 listed companies across nine major industries, we conduct an in-depth analysis of the efficiency of financial support and its influencing factors. In addition, this paper analyzes the influence mechanism of financial support for strategic emerging industries based on the relevant theory of financial support for industry development. It clarifies the internal and external influencing factors. Based on the theoretical analysis, a two-stage empirical investigation was conducted: The data of 356 listed companies in strategic emerging industries from 2010 to 2022 were selected as a sample, and the data envelopment analysis (DEA) method was applied to measure efficiency. The influencing factors were then analyzed using a Tobit regression and an intermediate effects test.

Внешние и внутренние угрозы как фактор риска для ведения эффективной политической коммуникации органов местного самоуправления

The article outlines the features of political communication of local governments in the context of new information challenges and threats. The role of municipal administrations in the formation of the information field is determined by the example of the Saratov region. The tasks facing the heads of local administrations in the process of information and communication support of their professional activities in social networks are analyzed. The risk factors for information support of the activities of local governments in the modern information space are identified. The article also examines information threats related to both internal processes and external factors of influence that local administrations of both large and small municipalities have to work with in the information space. The author also defines a number of criteria and recommendations that contribute to reducing information risks and threats, which significantly improve the effectiveness of political communication of local governments.

Volatile organic compounds (VOCs) in urban public transportation: Seasonal influences and variations

The present work aims to analyze the information related to the organic pollutants present inside the public transport units of León Guanajuato, Mexico, along winter, spring and fall seasons. Through the application of different selection criteria, a database was generated that allowed the analysis of the different selected pollutants and determine their behavior throughout the spring, autumn and winter seasons. These analyzes were carried out using different statistical tools like ANOVA, PCA, and correlation network maps. At least 23 compounds were selected as common pollutants along all the seasons, including aromatics, aliphatic, halogenated, polycyclic, and compounds with heteroatoms species. Results showed that the concentrations of Volatile Organic Compounds s such as hexane (1.5–3.0 µg/m³), dichlorobenzene (2.0–4.5 µg m−3), and toluene (5.0–12.0 µg m−3) varied significantly across the seasons, with higher levels observed in winter. The study highlights the influence of external environmental factors on indoor air quality within public transport units proven through statistical analysis. The results allowed to mention that the concentrations of Volatile Organic Compounds can vary significantly in different season along the year, as well as that the main pollutants vary according to the season, of which there are compounds that are only present during these periods.

Price Dynamics and Integration of Onion Markets in India

The current study uses the Correlation matrix, Vector Auto Regressive model, Granger causality test and Instability index to investigate the level of market integration, price transmission and price instability in the key onion markets in India, namely, Azadpur, Bangalore, Belgaum, Hassan, Haveri, Hubli, Mysore, and Nashik. The findings provided substantial evidence for the co-integration and interdependence of these markets. Bangalore market has a positive relationship with the Nashik and Azadpur markets, with coefficients of 1.15 and 0.54, respectively. Bangalore and Belgaum displayed a solid, significant positive correlation with a coefficient of 0.770. Conversely, some markets show relatively weaker correlations, such as Azadpur and Hassan, with a coefficient of 0.389. Instability across major onion markets revealed that all the markets are volatile, as the instability index was more than 30 per cent. Since there is unidirectional causality from Hubli-Bangalore and Azadpur-Bangalore market pairs, it makes it necessary for future research to examine the influence of internal and external factors like market infrastructure, improving information technology to allow regular flow of market information to assist farmers in increasing their income. Keywords: Granger causality, instability, price transmission, price volatility. JEL Codes: B23, C01, C22, E31.

HGEE: Learning for Trajectory Prediction with Heterogeneous Graph Interaction and External Embedding of Unmanned Swarm Systems in Adversarial Environment

Trajectory prediction of unmanned swarm systems, serving as the foundation for behavioral and intentional cognition, has attracted extensive attention and made considerable progress in adversarial research. The influence of heterogeneous interaction relationships and external factors is crucial for trajectory prediction. Consequently, this paper proposes the Heterogeneous Graph with External Embedding (HGEE) network. We model the latent variables as multi-layer heterogeneous graphs based on prior knowledge of different interaction relationships and propose a method for calculating edge embeddings for heterogeneous graphs. Furthermore, we introduce a method that combines external environmental feature with historical observational trajectory data as the input for the decoder, enabling the model to learn the impacts of obstacles, targets, and desired formations on trajectories. We demonstrate that our approach surpasses state-of-the-art models in interaction inference and trajectory prediction through experiments on our proposed formation datasets based on consensus theory, across five evaluation metrics.

Analysis of the impact of the volumes of state commissioning on the economy’s availability of specialists in certain professions

In Ukraine, there are imbalances between the specialities of graduates of higher education institutions and the needs of the market, so the issue of studying the possibilities of state influence on increasing the popularity of strategically necessary professions for the development of the country through the state-commissioned education is relevant. The purpose of the study was to determine how changes in the volume of state orders affect the choice of professions and competitive scores, and to develop recommendations for optimising the national policy in the field of financing specialities important for the country’s economic development. Clustering of specialities by the number of applicants enrolled for training was carried out, trends in changes in clusters in dynamics for 2018-2023 were considered, forecast models for changes in the number of applicants for each of the clusters were constructed, and correlation dependencies were determined on the impact of changes in the volume of state orders on attracting capable applicants to the speciality. The results of clustering, the visualisation of which is carried out using graphical methods, to a certain extent determine the popularity of the relevant professions and specialisations among applicants, including the level of sensitivity of the choice of applicants to the influence of external factors. It was determined that fluctuations in the number of applicants in small specialities occur within 1% despite significant changes in the share of state-funded places financed by budgetary funds, but in the cluster of specialities with a large number of applicants, such fluctuations are within 10%. The practical significance of the study lies in the possibility of using the constructed models for each speciality to determine their sensitivity to the impact of changes in the amount of funding for state-commissioned education, which would optimise the distribution of financial resources for training specialists for sectors of the economy

Flexural performance of reinforced concrete beams repaired with BFRP grid-TSUHDC

Due to the influence of time, load, and external environmental factors, many reinforced concrete beams have been damaged and require repair. Tailings are waste generated during mineral production, resulting in substantial environmental pollution and economic losses due to the excessive generation of tailings and low comprehensive utilization. In the UHDC, tailings replaced quartz sand, while BFRP grids itself is an environmentally friendly material. Two repair methods were evaluated in this study, Tailings Sand Ultra-High Ductile Concrete (TSUHDC) and Basalt Fiber Reinforced Polymer (BFRP) grid-TSUHDC, grounded in the principles of green and sustainable development. Five reinforced concrete beam specimens were designed and fabricated for bending performance tests and finite element simulations. The effects of different repair methods and levels of damage on the flexural performance of reinforced concrete beams were investigated. The results reveal that, compared to untreated reinforced concrete beams, both TSUHDC and BFRP grid-TSUHDC repair methods enhanced bending load-bearing capacity. However, the stiffness of specimens repaired with TSUHDC decreased when subjected to 80 % of the pre-applied failure load. When the pre-applied failure load is less than 80 %, the recommended repair approach is the use of TSUHDC for repair. For cases where the pre-applied failure load exceeds 80 %, BFRP grid-TSUHDC is the preferable option. The flexural bearing capacity formula for this type of repair method was derived by improving existing formulas, yielding prediction results in close alignment with the experimental results.

Trade and economic cooperation of the EAEU: state, dynamics, ensuring national security

The relevance of the study lies in the fact that in the context of international political and economic tensions, the role of regional integration is more important than ever. Despite the fact that the EAEU is one of the youngest integration associations in the world, the history of its existence testifies to the importance for both participating countries and third countries and the global economy, as well as conducting joint policies in various spheres of international relations. The article provides an analysis of trade and economic cooperation between the EAEU countries from the point of view of studying the history and causes of its appearance, the current state and development prospects. The current state and features of trade and economic cooperation between the EAEU countries, the main macroeconomic and trade and economic indicators of the EAEU member states are considered. It is shown that since the creation of the EAEU in 2015, measures have been taken and successfully implemented aimed at identifying and gradually eliminating factors hindering the development of integration processes. With the help of the created strategies for the development of the grouping, supranational bodies strive to minimize the influence of internal and external factors on the growth of the economies of the member countries of the union. The EAEU has significant economic and trade, as well as investment potential. According to the authors, it is important for the EAEU countries and the association as a whole to more actively implement measures aimed at maintaining the economic security of the association and the participating countries, which requires new unified approaches to training at the country and regional levels.

Laser-Tracing Multi-Station Measurements in a Non-Uniform-Temperature Field

Due to the increasing requirements for the improvement of the accuracy of large coordinate-measuring machines (CMMs), the laser-tracing multi-station measurement technology, as one of the advanced precision measurement technologies, is worth studying in depth in terms of its practical application for the compensation of errors in large CMMs. Since it is difficult to maintain a constant temperature of about 20 °C in the actual workshop under the influence of solar radiation and convective heat transfer, there is a gradient in the spatial temperature distribution, and the overall temperature changes with the influence of external factors with synchronous hysteresis, it is difficult for the actual calibration environment to meet the standard environmental requirements. Therefore, the influence of temperature and other environmental factors on the accuracy of laser ranging and large-scale CMM calibration should not be ignored. In this paper, on the basis of analyzing the temperature distribution and change rule of large CMM measurement space under different working conditions, the radial basis function (RBF) neural network algorithm was used to build a non-uniform-temperature field model, and based on this model and the measurement principle of the laser-tracking instrument, the method of laser tracking and interferometric ranging accuracy enhancement was put forward under a non-uniform-temperature field. Finally, based on the multi-station technique of laser tracing, an accurate solution for the volumetric error of large CMMs under the condition of non −20 °C ambient temperature was realized. Simulation results proved that compared with the traditional temperature-compensation method, the proposed method improved the measurement accuracy of the volumetric error of a large-scale CMM using laser-tracing multi-station technology in a non-uniform-temperature field by 33.5%. This study provides a new approach for improving the accuracy of laser-tracer multi-station measurement systems.

Стратегическое планирование в птицеводстве

The article notes that nowadays strategic planning has taken its weighty place among management functions. Taking into account modern requirements, according to the quality management system, it is advisable to develop and introduce into practice a complex mechanism of enterprise activity management, including a set of economic, motivational, organizational and legal ways of purposeful interaction of economic subjects for the realization of enterprise potential to ensure its sustainable economic, financial and innovative development. The stages of development strategy of poultry enterprises on the example of a specific enterprise in Krasnodar Krai are described, three possible alternative scenario approaches of strategic development are proposed: pessimistic, traditional and optimistic, taking into account the influence of external and internal factors on the development of the enterprise at the present stage.

The Influence of Internal and External Factors on Growth Profits

This study aims to determine the influence of internal and external factors on the profit growth of food and beverage companies listed on the Indonesian Stock Exchange in 2022. Internal factors are represented by the debt to equity ratio and current ratio and external factors are represented by inflation and interest rates. The population of this research is 44 companies and the research sample is 22 companies using purposive sampling technique. Data collection techniques are through documentation techniques by downloading financial reports via idx.co.id and the company website. Data analysis used descriptive statistical tests, classical assumption tests, multiple linear regression tests, coefficient of determination tests, t tests and f tests. The research results prove that partially the debt to equity ratio and inflation have a significant negative effect on growth, while the current ratio and interest rates have no effect on profit growth. Simultaneously the debt to equity ratio, current ratio, inflation and interest rates influence profit growth Keywords: Debt to Equity Ratio, Current Ratio, Inflation, Interest Rate, Profit Growth

Financial openness of countries in the context of globalization

The article examines the trends and aspects of financial openness in countries amid their integration into the international financial space. The analysis shows that the drive towards global integration leads to an increase in economic ties and the intensification of interactions between states, which in turn positively impacts investment opportunities and business conditions. However, the growth of financial openness is accompanied by heightened risks, such as financial crimes, money laundering, and the influence of external economic factors on national markets. The relationship between financial policy, financial openness, and economic stability is explored, along with the role of regulatory measures in ensuring a balance between open financial markets and the protection of national interests. The study includes an analysis of the Chinn-Ito Financial Openness Index as a tool for assessing the level of financial openness in countries. The results indicate that countries with high values of this index typically exhibit significant financial integration, although economic and political factors can lead to variations in the indicators. The importance of harmonizing national legislation with international standards and adapting financial policy to achieve sustainable economic growth and ensure financial stability is highlighted.

The Influence of Internal and External Factors on the Stock Price of Property & Real Estate Companies

The Influence of Internal and External Factors on the Stock Price of Property & Real Estate Companies

Дошкольник и региональная культура: социальный заказ

The article examines topical issues of sociocultural education of older preschool children, their essence, and the necessity of their solution. The author specifies the concept of regional culture in relation to the education of older preschool children, analyzes the specifics of familiarization with regional culture and the formation of sociocultural competence of children of the designated age. In the course of the study, the works of scientists and practicing teachers studying the problems, ways and prospects of socio-cultural education of senior preschool children, as well as the results of the influence of both external and internal factors on the process of education in a preschool educational institution were studied. Depending on the degree of the child’s activity, types of his interaction with regional culture are emphasized. Key objectives for involving older preschool children in regional culture are identified within the research framework, aiming to enhance their socio-cultural development and integration into regional contexts.

Parking Lot Traffic Prediction Based on Fusion of Multifaceted Spatio-Temporal Features.

With the rapid growth of population and vehicles, issues such as traffic congestion are becoming increasingly apparent. Parking guidance and information (PGI) systems are becoming more critical, with one of the most important tasks being the prediction of traffic flow in parking lots. Predicting parking traffic can effectively improve parking efficiency and alleviate traffic congestion, traffic accidents, and other problems. However, due to the complex characteristics of parking spatio-temporal data, high levels of noise, and the intricate influence of external factors, there are three challenges to predicting parking traffic in a city effectively: (1) how to better model the nonlinear, asymmetric, and complex spatial relationships among parking lots; (2) how to model the temporal autocorrelation of parking flow more accurately for each parking lot, whether periodic or aperiodic; and (3) how to model the correlation between external influences, such as holiday weekends, POIs (points of interest), and weather factors. In this context, this paper proposes a parking lot traffic prediction model based on the fusion of multifaceted spatio-temporal features (MFF-STGCN). The model consists of a feature embedding module, a spatio-temporal attention mechanism module, and a spatio-temporal convolution module. The feature embedding module embeds external features such as weekend holidays, geographic POIs, and weather features into the time series, the spatio-temporal attention mechanism module captures the dynamic spatio-temporal correlation of parking traffic, and the spatio-temporal convolution module captures the spatio-temporal features by using graph convolution and gated recursion units. Finally, the outputs of adjacent time series, daily series, and weekly series are weighted and fused to obtain the final prediction results, thus predicting the parking lot traffic flow more accurately and effectively. Results on real datasets demonstrate that the proposed model enhances prediction performance.

Pengaruh Kualitas Informasi Akuntansi, Akuntabilitas, dan Transparansi Pelaporan Keuangan Lembaga Pengelola Zakat terhadap Pembayaran Zakat Muzaki dengan Aksesibilitas sebagai Pemoderasi

Objectives: Most zakat funds do not flow to the Zakat Management Institution (LPZ). Therefore, this study aims to empirically test and analyze the influence of external factors that can influence muzaki to pay zakat through LPZ such as the quality of accounting information, accountability, and transparency of financial reporting, and accessibility of LPZ.Design/method/approach: This study uses a quantitative method sourced from primary data through the distribution of questionnaires (google form). The convenience sampling technique is used in determining the sample, namely one hundred muzaki who pay zakat through LPZ. Data analysis tools with SmartPLS software version 4.Results/findings: The quality of accounting information has a significant positive effect and accountability, transparency, and accessibility have an insignificant positive effect on zakat payments, but accessibility does not moderate the effect of factors that influence the payment of zakat.Theoretical contribution: Develop the field of LPZ accounting science that the accounting aspect is very important to study because it influences the development of an LPZ.Practical contribution: The research provides recommendations to LPZ to improve the quality of information, accountability and transparency in its operations because it greatly influences muzaki paying zakat in addition to ease of access.Limitations: This research model cannot predict the response variable, namely zakat payments, because the response variable is less reliable and the sample is less accurate. Another limitation is that most of the research results are not significant due to the large number of invalid research statement constructs

Students’ acceptance of e-learning: extending the technology acceptance model with self-regulated learning and affinity for technology

The present study examines university students’ acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors. Structural equation modeling with maximum-likelihood estimation served to evaluate the proposed research model, which included online questionnaire data from N = 225 undergraduates studying various subjects in 53 universities. The results indicate that the TAM is replicable regarding e-learning for German-speaking university students. Additionally, we found self-regulated learning and affinity for technology to be significantly positively related to the two main components of the TAM, perceived ease of use and perceived usefulness, implying their importance in technology acceptance. However, self-efficacy with digital media and prior experience showed no significant impact on university students’ technology acceptance. We also found a significant positive relationship between attitudes toward e-learning and behavioral intention, showing that university students with positive attitudes are more willing to use it in the future. Therefore, higher education should consider students’ individual prerequisites for e-learning and support students during the use of e-learning environments, to promote the development of positive experiences and attitudes toward e-learning.

Corporate social responsibility on worker turnover rate and worker turnover cost: the role of symbolic image dimensions and the unemployment rate

Purpose This study aims to examine the relationship between corporate social responsibility (CSR) and worker turnover rate (WTR) and worker turnover cost (WTC) in Vietnamese garment companies, using the mediating role of symbolic image dimensions (SID) of employer image and the moderating role of unemployment rate. Design/methodology/approach This study uses Signaling Theory and Job Embeddedness Theory as theoretical frameworks to examine the mediating role of SID and the moderating role of the unemployment rate on the link between CSR and WTR, as well as the associated cost. Data from 119 Vietnamese garment companies are analyzed using structural equation modeling – AMOS software. Findings The findings suggest that CSR has a direct adverse effect on the WTR and an indirect effect on WTC through WTR. The results also indicate a direct relationship between the level of CSR adopted by companies and workers’ perception of the symbolic attributes of their company’s employer image as sincere, innovative, competent and prestigious. This, in turn, leads to a reduced rate of worker turnover. In addition, this study discovers the moderating influence of the region’s unemployment rate on the correlation between companies’ CSR and WTR. Practical implications The results indicate that companies should view CSR as a strategic tool to obtain better performance by achieving a win-win state of affairs with their workers. It also implies the influence of external economic factors on the relationship between CSR and worker turnover. Originality/value This study contributes to the literature by highlighting the economic benefits of CSR and the SID.