Effective Management Policies Research Articles

Quantitative assessment of runoff change and its drivers in a multi-scale framework

ABSTRACT Identifying runoff changes and quantifying the impacts of climate change and human activities are important for water resources planning and management in river basins. The impacts of climate change and human activities on runoff can be more accurately assessed through scientific hydrological modeling and data analysis methods. In this study, an integrated assessment framework was established to quantitatively separate the driving mechanisms of runoff at different time scales. The results show that the runoff of Wu River has shown a decreasing trend since 2004, with a change degree of 56%, and the monthly average flow indexes of August and September have changed significantly, both are over 90%. The NSE coefficient of the SWAT simulation effect is above 0.8, we validate the simulation results based on the LSTM model. It was found that climate change was the main factor affecting the runoff of Wu River, with the contribution rates reaching 60 and 57%, respectively. Pearson correlation analysis found that rainfall was the most important factor affecting the runoff. The results of this study are helpful to formulate effective water resources management policies and measures to ensure the sustainable utilization and management of water resources in the Wu River Basin.

SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance

COVID-19 has created a major issue around the world, posing a serious threat to socioeconomic and human health, and there is still fear of new infectious diseases like this. In Korea, in response to COVID-19, the COVID-19 vaccine approved by the Ministry of Food and Drug Safety was sequentially administered to each group, raising national interest in the safety, side effects, and effectiveness of the vaccine, and securing the basis for related policies. Many attempts have been made for this. We are interested in a methodology to establish a scientific basis for how to respond to issues regarding vaccine stability due to the emergence of new infectious diseases. In this study, we use comments posted on Naver, the largest social platform in Korea, to obtain consumer sentiment information about vaccines and understand the change in Korean public sentiment in the first half of 2021 for each vaccine based on the analysis pipeline (SNSMiner_VAC). We investigated the Korean public’s response to the COVID-19 vaccination on social media from November 30, 2021, to January 31, 2022. We collected comments related to the COVID-19 vaccination using the Korean words for “COVID-19 vaccination” as keywords. Of the 329,559 comments, 240,322 were analyzed after preprocessing. We developed three lexicons (stopwords, sentiment words, and custom words related to COVID-19) for Korean natural language processing. Furthermore, we extracted five clusters — including symptoms, side effects, vaccine hesitancy, pro-vaccination, and infectious disease control policy — through network analysis. The sentiment analysis revealed that negative public opinion was prominent even after the commencement of the phased recovery of daily life. From these results, we were able to automatically collect data-based information on patients’ symptoms and side effects for the new vaccine and prepare and analyze the basis for collecting public opinions about vaccination. We hope that the pipeline proposed in this study can be used as a tool to create a data source for effective management policies for vaccines being developed against the emergence of new infectious diseases.

School management and organizational culture towards teachers` performance: The perspective of educational transformation

This research addresses the limited deep understanding of the direct impact of the School Movement Management practices on various aspects of teacher performance within the framework of a dynamic organizational culture in the continually transforming educational era. The study aims to examine the influence of school movement management and school culture on the pillars of teacher performance in this era of educational transformation. The research method is quantitative, utilizing a sample of 62 elementary school teachers selected through purposive sampling based on their involvement in the implementation of School Movement Management and their activities within the school's organizational culture. Data was collected through surveys and documentation, including trial testing of the research instruments. Data analysis was conducted using T-test and F-test. The research findings confirmed three points. First, there is an influence of School Movement Management on the performance of elementary school teachers. Second, there is an influence of Organizational Culture on the performance of elementary school teachers. Third, there is a combined influence of School Movement Management and Organizational Culture on the performance of elementary school teachers. This study highlights the importance of collaboration among schools, principals, the community, and supervisors to enhance the competencies of principals in School Movement Management and Organizational Culture. The results provide evidence that both aspects significantly impact teacher performance, supporting more effective human resource management policies in the context of educational transformation

Influence Of Good Governance on Employee Satisfaction in Faith-Based Higher Educational Institutions: The Mediating Role of Policy Management

The ever-increasing role of employee satisfaction in the survival and success of higher educational institutions points towards a strong emphasis on good governance. This study examined the mediating role of policy management on the relationship between good governance and employee satisfaction. Two hundred and sixty-eight respondents participated in the study, representing the population of Faith-Based Higher Educational Institutions in the (AHEI's) Philippines. The descriptive, correlational, regression, t-test, and structural equation modeling techniques were used to analyze the data. The results exhibit strong implementation of good governance, high levels of employee satisfaction, and effective policy management as perceived by the employees. Moreover, the study found a positive correlation between good governance, employee satisfaction, and policy management. It was also discovered that the sex, marital status, educational attainment, and salary of the respondents do not moderate the influence of good governance on employee satisfaction. Finally, the findings also revealed that policy management partially mediates the relationship between good governance and employee satisfaction.

Multi-isotopes (δD, δ18Owater, 87Sr/86Sr, δ34S and δ18Osulfate) as indicators for groundwater salinization genesis and evolution of a large agricultural drainage lake basin in Inner Mongolia, Northwest China

Groundwater salinization, a major eco-environmental problem in arid and semi-arid areas, can accelerate soil salinization, reducing crop productivity and imbalances in ecosystem diversity. This study classified water samples collected from the Ulansuhai Lake basin into five clusters using self-organizing maps (SOM). On this basis, multiple isotopes (δ18Owater, δD, 87Sr/86Sr, δ18Osulfate and δ34S) and isotopic models (Rayleigh fractionation and Bayesian isotope mixing models) were used to identify and quantify the genesis and evolution of groundwater salinization. The results showed that the samples were brackish or saline water, and the hydrochemical types were dominated by Na + K-Cl (SO4). It has been proved that the processes associated with groundwater salinization in the Ulansuhai Lake basin were dominated by water-rock interaction and human inputs. Among them, evaporite dissolution contributed substantially to groundwater salinity. Furthermore, salt inputs from human activities cannot be negligible. Based on the model calculations, evaporite dissolution accounted for the most significant proportion of all sources, with a mean value of 53 %. In addition, human inputs from regular agricultural activities (28 % from sewage and manure and 8 % from fertilizers) constituted another vital source of groundwater salinization associated with extensive agricultural activities in the study area. This study's results can deepen our understanding of the genesis of groundwater salinization and the evolution of the agricultural drainage lake basin. This knowledge will assist the Environmental Protection Department in developing effective policies for groundwater management in the Yellow River Basin.

Water quality assessment in a large plateau lake in China from 2014 to 2021 with machine learning models: Implications for future water quality management

Amid the global surge of eutrophication in lakes, investigating and analyzing water quality and trends of lakes becomes imperative for formulating effective lake management policies. Water quality index (WQI) is one of the most used tools to assess water quality by integrating data from multiple water quality parameters. In this study, we analyzed the spatio-temporal variations of 11 water quality parameters in one of the largest plateau lakes, Erhai Lake, based on surveys from January 2014 to December 2021. Leveraging machine learning models, we gauged the relative importance of different water quality parameters to the WQI and further utilized stepwise multiple linear regression to derive an optimal minimal water quality index (WQImin) that required the minimal number of water quality parameters without compromising the performance. Our results indicated that the water quality of Erhai Lake typically showed a trend towards improvement, as indicated by the positive Mann-Kendall test for WQI performance (Z = 2.89, p < 0.01). Among the five machine learning models, XGBoost emerged as the best performer (coefficient of determination R2 = 0.822, mean squared error = 3.430, and mean absolute error = 1.460). Among the 11 water quality parameters, only four (i.e., dissolved oxygen, ammonia nitrogen, total phosphorus, and total nitrogen) were needed for the optimal WQImin. The establishment of the WQImin helps reduce cost in future water quality monitoring in Erhai Lake, which may also serve as a valuable framework for efficient water quality monitoring in similar waters. In addition, the elucidation of spatio-temporal patterns and trends of Erhai Lake's water quality serves as a compass for authorities, offering insights to bolster lake management strategies in the future.

Talent management of library and information science professionals: A review of research and future directions

Background This study aims to review the extant literature on talent management with the objective of influencing library and information management by addressing the key facets of talent management, such as talent management strategies, importance of career development, evaluation of talented employees, and organizational resilience. Methodology Literature on the development of talent and career management was retrieved from various scholarly papers indexed in Scopus and Web of Science to have a meticulous literature review serving as the platform of the present study. In light of the authors’ observations, two models were developed. The extant literature provides precise information that talent management plays a decisive role in promoting organizational excellence invariably in all kinds of organizations in general and libraries in particular. Results This study provides constructive recommendations for the implementation of effective talent management and retention policies for library and information professionals. Moreover, this study adds immense value to the corpus of existing literature to set a platform for the augmentation of library management in futuristic vision. Conclusion This study provides constructive recommendations to policy makers and library administrators to foster talented employees for excelling library and information services for the next several decades.

Implementasi Manajemen Sumber Daya Manusia dalam Meningkatkan Motivasi Kerja

Work motivation is an important factor in improving employee performance and achieving organizational goals. Human Resource Management (HRM) plays a crucial role in motivating employees through various strategies and policies. The method used in this study is a type of qualitative research. The data sources obtained in this study are from the results of library research from various sources. The main source of data for this research is the results of research published on google scholar. Data analysis was carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawn. The results of this study are obtained how the role of human resource management in increasing work motivation, effective human resource management strategies and policies to increase work motivation, as well as challenges and solutions in the implementation of human resource management to increase work motivation

Impact of Monetary Policy on Exchange Rate Stability in Nigeria

This study investigates the impact of interest rates, money supply, and Central Bank reserves on exchange rate stability in Nigeria. Utilizing quarterly economic data from 1980 to 2023, sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin, the research employs a longitudinal survey design to assess the relationships between these monetary variables and exchange rate volatility. The findings indicate that interest rates, money supply, and Central Bank reserves significantly influence exchange rate fluctuations, with Central Bank reserves having the most substantial impact. Specifically, interest rates exhibit a moderate effect on exchange rate volatility (t = 3.513, p = .001, Beta = .342), while money supply also significantly affects exchange rate volatility (t = 2.713, p = .010, Beta = .305). Central Bank reserves, however, have the most pronounced impact (t = 4.141, p = .000, Beta = .467). These results highlight the critical role of monetary policy in maintaining exchange rate stability. The significant positive relationship between interest rates and exchange rate volatility suggests that monetary authorities should carefully consider the ramifications of interest rate adjustments. Similarly, the influence of money supply underscores the need for meticulous management to prevent destabilization. Robust Central Bank reserves emerge as a crucial buffer against exchange rate fluctuations, emphasizing the importance of effective reserve management policies. The findings provide actionable insights for policymakers aiming to enhance exchange rate stability through strategic interest rate policies, careful money supply management, and maintaining adequate Central Bank reserves.

An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions

Global food security is threatened by aquifer depletion in arid and semi-arid regions. Ensuring aquifer sustainability while minimizing farmers' costs requires effective groundwater management policies, which are informed by hydro-economic models. However, the reliability of these models is typically compromised by oversimplifications. This study introduces a hydro-economic modeling framework (ABM-MODFLOW), applied in the U.S. High Plains, overcoming previous models’ shortcomings. It employs an interdisciplinary approach, simulating real-world farming decisions and the resultant impacts on groundwater systems. Model validation indicates satisfactory performance in reproducing historical data and trends, outperforming the standalone groundwater model. Results show that agents with high irrigation capacities and fine soils earn the highest profits, whereas those with low irrigation capacities and coarse soils achieve the lowest profits. This modeling framework provides an advanced approach for simulating interactions between human decisions, crops, and groundwater in heavily stressed aquifers globally, supporting the development of effective groundwater management policies.

Coupling and interaction mechanism between green urbanization and tourism competitiveness based an empirical study in the Yellow River Basin of China

Exploring the spatial coupling relationship and interaction mechanism between green urbanization (GU) and tourism competitiveness (TC) is of great significance for promoting urban sustainable development. However, the lack of research on the interaction mechanism between GU and TC limits the formulation of effective environmental management policy and urban planning. Taking 734 counties in the Yellow River Basin (YRB) as the study area, this paper analyzes the spatial coupling relationship between GU and TC on the basis of comprehensive evaluation of GU and TC. Then, the interactive mechanism between GU and TC is systematically discussed, and the synergistic development strategy of the two is proposed. The results show that the GU level presents a multicore circle structure, with provincial capitals, prefecture-level urban districts and economically developed counties in east-central regions as high-value centers. The TC at county scale presents a multi-center spatial structure. Additionally, there is a significant positive spatial coupling between GU and TC in the YRB. The analysis further reveals that green urbanization level, social progress, population development, infrastructure construction, economic development quality, and eco-environmental protection has a observably influence on TC. Tourism competitiveness, service competitiveness, location competitiveness, resource competitiveness, market competitiveness, environmental influence, and talent competitiveness has a observably influence on GU. TC can promote GU, and the improvement of green urbanization level can support the development of tourism competitiveness. According to the spatial zoning method, 734 counties are divided into 6 categories, and the coordinated development strategy of GU and TC for each type of district is proposed.

Spatiotemporal Expansion of Algal Blooms in Coastal China Seas.

The coastal seas of China are increasingly threatened by algal blooms, yet their comprehensive spatiotemporal mapping and understanding of underlying drivers remain challenging due to high turbidity and heterogeneous water conditions. We developed a singular value decomposition-based algorithm to map these blooms using two decades of MODIS-Aqua satellite data, spanning from 2003 to 2022. Our findings indicate significant algal activity along the Chinese coastline, impacting an average annual area of approximately 1.8 × 105 km2. The blooms exhibit peak intensity in August, while the maximum affected area occurs in September, featuring multifrequency outbreaks in spring, and pronounced large-scale events in summer and autumn. Notably, our analysis demonstrates a robust 67% increase in bloom occurrences over the study period. This expansion is primarily attributed to increased nutrient inflow from terrestrial sources linked to human activity and precipitation, compounded by rising global sea surface temperatures. These spatiotemporal insights are critical for devising effective management strategies and policies to mitigate the impacts of algal blooms.

Source identification of ultrafine particulate matter and ammonia emissions in the metropolitan area

Previous studies have estimated the sources of particulate matter in the atmosphere. Among these, studying the sources of secondary aerosols harmful to human health is important. However, there is a lack of research on ammonia (NH3), a precursor to secondary aerosol formation. This study uses positive matrix factorization (PMF) model and conditional bivariate probability function (CBPF) model to estimate the sources of particulate matter and ammonia. The results showed that about 40% of the PM2.5 mass at both sites was attributable to secondary aerosol. To estimate the emission sources of ammonia that contribute to the generation of secondary aerosols, CBPF was utilized to model and compare the emission characteristics of categorized pollution sources and ammonia, and it was found that SMA had similar emission trends to industry, road dust, oil combustion, and biomass combustion, while GRA had similar emission trends to oil combustion and vehicle (diesel). Considering the results from these two regions, ammonia in the metropolitan area is more likely to be emitted from daily activities than from long distances. The study results demonstrate the major role of secondary aerosols on ambient PM2.5 concentrations and can help develop effective management strategies and policies for air pollution mitigation.

Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption

As smartphone ownership rapidly expands, mobile payment options are gaining popularity due to the portability and convenience they offer. This study examines attitudes towards adopting mobile payment, focusing on the component risk, which consists of multiple dimensions including performance, financial, time, psychological, and social risks. The study uses a quantitative approach, collecting data through a survey distributed to mobile payment users, with 361 respondents in the United States. The survey instrument includes measures of performance and psychological risk, as well as attitudes towards mobile payment acceptance. Data analysis using SPSS 25.0 and AMOS 24.0 reveals that both performance and psychological risk significantly negatively impact attitudes towards mobile payment acceptance, underscoring the importance of mobile payment service providers implementing effective risk management policies to improve users’ positive attitudes towards their platforms.

Fostering innovation through collaborative leadership: developing a novel framework for strategic management

The relevance of the global trend towards the transformation of management processes regarding the principles of sustainable development necessitates revision and optimization of approaches to strategic management. This article aims to analyze a synergistic approach to strategic management. The study involved general scientific methods: comparison, theoretical modeling, synthesis, analysis, abstraction, specification, and generalization. The paper examines the role of the concept of synergism in shaping the strategic advantages of the management paradigm. The author has determined that the synergistic context of certain strategic models should be considered an effective management policy concept. The article highlights the prioritized approaches to strategic management from the standpoint of synergistic methodology. The author has developed a universal model of the innovative concept of synergistic management strategy, forecasting its effectiveness in the current economic realities. It has been proved that the synergistic approach is focused on effective communication and the formation of effective relationships. The practical significance of this study lies in the expediency of using them in an enterprise's strategic management system to improve the efficiency of its financial and operational activities.

Analysis of Trends in the Distance of Wildfires from Built-Up Areas in Spain and California (USA): 2007–2015

Wildfires present a significant risk to societies globally due to population growth, concentrated activities, climate change, and extreme environmental conditions. To establish effective fire suppression and management policies, it is crucial to determine whether the distance between ignition points and urban areas is increasing or decreasing. This study analyzes 101,597 fires in Spain and California between 2007 and 2015, where ignition points and all built-up areas were precisely geolocated in 2014. The study employs the Mann–Kendall test to determine trends and analyze the relative distance of wildfires to human buildings over time. The results indicate that wildfires are becoming statistically significantly closer in several areas. It is also observed that the majority of wildfires are moving away from buildings, although this is not a significant finding. These results suggest the possibility of further research into the reasons behind these observations and possible future developments and their consequences.

Pengaruh Reward, Komunikasi dan Penguasaan Teknologi terhadap Produktivitas Kerja Karyawan pada PT. Allianz Star Network Medan

This research aims to test and analyze the influence of rewards, communication and mastery of technology on employee work productivity at PT Allianz Star Network Medan. This research uses a quantitative approach with descriptive research and explanatory research. The sampling method was carried out using saturated sampling, and data analysis used multiple linear regression. The research results show that partially, at PT Allianz Star Network Medan, rewards have a positive and significant effect on employee work productivity, communication has a positive and significant effect on employee work productivity, and mastery of technology has a positive and significant effect on employee work productivity. Simultaneously, rewards, communication and mastery of technology also have a positive and significant influence on PT Allianz Star Network Medan. In conclusion, this research provides an important contribution to the understanding of the factors that influence employee work productivity in this company. The implications of the results of this research can be used as a basis for developing more effective human resource management policies and practices at PT Allianz Star Network Medan. Keywords: Communication, Mastery of Technology, Employee Work Productivity

Unraveling the interplay of human decisions and flood risk: An agent-based modeling approach

Flooding is a frequent and highly destructive natural disaster that requires effective flood management policies. This paper addresses the limitations of traditional flood risk assessment methods, focusing on the interplay between human decisions and flood risk using an integrated approach. Agent-Based Modeling (ABM) is employed to capture the social behavior of government, households, and farmers in three flood management scenarios. The study is conducted in the Fall River watershed, Idaho, USA, over a 30-year period. The results highlight the important influence of crop selection decisions on flood damage outcomes, with alfalfa emerging as the preferred crop due to its profitability and lower damage potential (around 67 % crop loss compared to more than 81 % for crops like corn, barley, and wheat). The levee scenario is identified as the most effective strategy, significantly reducing flood damage by more than 37 % and generating the highest average annual profit for farmers. The study emphasizes the need for comprehensive flood risk management strategies that address both frequent and rare flood occurrences in mitigating flood damage and promoting community resilience. By integrating human-flood interactions into flood risk assessment, this study offers valuable insights for Policymakers and stakeholders can utilize the research implications to develop effective strategies that mitigate damage and enhance community resilience.

Effects of inter-basin transfers on watershed hydrology and vegetation greening in a large inland river basin

The effects of inter-basin transfers (IBTs) on watershed hydrological balances and associated ecosystem processes remain poorly understood in arid regions because of data scarcity and the complexity of ecosystem responses to water management in many parts of the world. To fill this gap, the objective of this study was to quantify the effect of IBTs on watershed hydrological regimes and the associated vegetation dynamics. We conducted a case study on the Shiyang River Basin, a typical mountain-oasis-desert inland river basin in northwestern China, using water balance and wavelet analysis methods. Long-term (1980–2020) monitoring data from river discharge and groundwater tables were used to construct the water balances and quantify the periodicity of the surface water and groundwater. We observed that over 2.90 billion m3 of transferred water during 2003–2020 mitigated the declining trend in groundwater, resulting in a change in water storage trend from –91.9 mm/y to –53.7 mm/y. IBTs contributed approximately 230 % of the increase in observed river runoff, 21 %–60 % (42 % on average) of the increase in total water storage, and 1 %–32 % (12 % on average) of the evapotranspiration deficit (i.e., the portion of actual evapotranspiration beyond climate-driven evapotranspiration). IBTs also significantly altered the seasonal fluctuation and periodicity of river flows and groundwater. Increased water availability promoted vegetation recovery and resulted in multiscale resonance periodicities with vegetation, ranging from monthly to interannual scales. Our results indicate that IBTs markedly modified the water cycle, hydrological regimes, and ecosystem processes in the study basin. Thus, we call for long-term monitoring of the timing, frequency, and magnitude of ecohydrological modifications from IBTs to provide critical information for effective watershed management policies to achieve long-term sustainable development in water-stressed regions.

Strategi Kepala Madrasah dalam Meningkatkan Kompetensi Profesionalisme Guru Pendidikan Agama Islam di MA Al Amin Malang

&lt;p&gt;&lt;em&gt;This research aims to reveal the strategies used by the pricipal of Madrasah in increasing the competency and professionalism of Islamic religious education teachers at MA Al Amin Malang. The research method used is qualitative with a case study approach. Data was collected through in-depth interviews with the principal, observations, and analysis of related documents. The research results show that the Principal of Madrasah use various strategies, including continuous training and development, providing support and recognition, as well as ongoing coaching and supervision. These strategies aim to improve the quality of teaching and learning, inspire teacher motivation, and strengthen commitment to the profession. The implications of this research are the important role of the Principal in creating a work environment that is conducive to developing teacher professionalism, as well as the need for investment in ongoing training and coaching. This research was conducted over a period of time from July to December 2023. It is epected that this research can provide valuable input for the development of more effective school management policies and practices in Islamic religious education institutions.&lt;/em&gt;&lt;/p&gt;