Optimization Of Human Resources Research Articles

Tradeoffs When Building and Running Cohort and Patient-Level Markov Simulation Models

The choice of health care modeling approaches is driven by trade-offs between various modeling techniques. This study evaluates cohort (CH) versus patient-level (PL) Markov modeling techniques within a cost-effectiveness analysis framework to understand the practical decisions analysts face. Both the CH and PL models were constructed using identical datasets and similar assumptions. Each model included eight health states to capture disease severity and symptom types and allowed switching from first-line to second-line treatment. We assessed model outcomes and performance using various quantitative and qualitative techniques. The CH and PL models yielded very similar base case results; only minor differences in functionality and outcome consistency were detected. The CH model offered greater stability and easier parameter testing, while the PL model provided superior flexibility for structural adjustments and detailed patient pathway and subgroup analysis. However, the PL model required substantially more computational time for sensitivity analyses and more technical skills to understand and interpret patient pathways and model results. CH modeling faced more challenges when extensive structural changes were initiated. Choosing between CH and PL modeling techniques involves the careful assessment of trade-offs between the need for a flexible and informed model and the optimization of human and computational resources.

Equity and trends in the allocation of health human resources in China from 2012 to 2021

BackgroundAs the second most populous country in the world, China has a huge demand for health human resources. Over the past decade, the Chinese government has continuously increased investment in the health sector and implemented relevant policies and systems in an attempt to enhance the overall quantity and equity of health human resources. This study aims to analyze the equity and developmental trends in the allocation of health human resources in China from 2012 to 2021, providing reference and theoretical support for the government’s further optimization of health human resources allocation.MethodsThis study collected health human resources data from 31 provinces, municipalities, and autonomous regions in China from 2012 to 2021. The methods employed included Lorenz curves, Gini coefficients, and agglomeration degree analysis, which examined the developmental trends and equity of health human resources from the perspectives of population and geographical.ResultsThis study found that over the past decade, there has been a significant increase in the total quantity of health human resources in China, accompanied by an improvement in equity, although disparities still exist. There are notable variations in the distribution of health human resources based on geographical area, with disparities between different regions. Relative shortages of health human resources are observed in western regions, while some areas in the eastern and central regions exhibit an abundance or surplus of health human resources.ConclusionOverall, health human resources in China have experienced stable development, with an incremental improvement in allocation equity, yet there remains considerable room for progress. It is imperative to continue strengthening policy guidance and regulation to facilitate the rational flow of health human resources, narrow regional disparities, and achieve the goal of universal health coverage.

The Effect of Personal Selling, Social Media Advertising and Sales Promotion on Purchasing Decision

Telkomsel Orbit is a product that provides an internet network that can be used anytime and anywhere, thereby attracting consumer interest. The company continues to market and develop this product so that it can continue to compete with other similar products, including by implementing several marketing methods which will be studied in this research. This study seeks to examine the impact of the independent variables, namely (X1) Personal Selling, (X2) Social Media Marketing and (X3) Sales Promotion on the dependent variable (Y1) Purchasing Decisions. This study uses quantitative data collected based on filling out questionnaires carried out by 330 respondents who are users of Telkomsel Orbit products in the Central Sumatra Region. Sampling was carried out by purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM) techniques via the SmartPLS application. Statistical results show that the independent variables, such specifically as (X1) Personal Selling, (X2) Social Media Marketing and (X3) Sales Promotion have a positive and substantial effect on the dependent variable (Y1) Purchase Decision resulting in an R-Square featuring the value of 0.267 or 26.7%. The Telkomsel Orbit marketing team is expected to continue to improve and evaluate the application of personal selling, social media marketing and sales promotions to influence consumer decisions in choosing Telkomsel Orbit products. The application of personal selling is considered the most effective in this research, so it is hoped that optimization of human resources and abilities in forming relationships with consumers will continue to be carried out. Likewise, sales promotions must be carried out more massively to be able to continue to compete with other competitors, because the best and most attractive price offers or sales promotion methods will be superior in influencing purchasing decisions. Meanwhile, social media marketing continues to be optimized, especially facing the digital world, where information is disseminated via the internet or social media, so content is needed with information content that can attract consumer interest in products.

Optimization of Human Resources in the Construction Industry at PT. Superior Pusadega

This research discusses efforts to optimize human resources (HR) in the construction industry at PT. Pusadega Superior. Effective HR management is crucial for increasing productivity and reducing risks in construction projects. The main problem identified is how HR optimization strategies influence project performance and job satisfaction. This study offers a new perspective by analyzing a comprehensive approach to HR management in the construction sector, an area that has not been widely explored in previous research. The research employs a qualitative case study method, utilizing qualitative analysis through interviews with project managers and staff, as well as document review related to HR management at PT. Pusadega Superior. The findings reveal that despite having good HR policies, their implementation is often inconsistent, which negatively impacts project performance. The main influencing factors are the quality of training and internal communication. The conclusion of this research is that increasing consistency in the implementation of HR policies and improving training and communication can enhance project performance and job satisfaction. The implication is that PT. Pusadega Superior must invest in better training programs and more effective communication strategies. The key message is that effective HR optimization is critical to the success of construction projects and worker satisfaction.

GESTÃO DE RESIDUOS NA CONSTRUÇÃO CIVIL

The present article intends to address the importance of the waste management plan in works, aiming at the optimization of material and human resources. The civil construction sector is a great vector of social and economic development of the country, but is responsible for the growing generation of waste in the country and its inadequate disposal has caused numerous problems, promoted by the large volume generated tied the difficulties of final disposal and the risks Arising from disposal in irregular deposits. These wastes are generally generated by companies and service providers of engineering, public agencies and construction contractors. The present work sought to collect information about the losses of the lack of an RCC management plan in any construction sector. After all the research, there is a need for practices to mitigate the numerous problems, as well as the need to improve the waste management plan, presenting ways for sustainable development, such as reuse and recycling. These practices have the objectives of generating a significant economic advantage over the final destination of the deposits, reducing the amount of raw material used and consequently the generation of waste, contributing to a more rational consumption of the raw material.

Fundamental Principles Of Health Management: Integrated Strategies For Efficiency, Quality, And Sustainability In Healthcare

This academic essay addresses healthcare management as an essential and dynamic field encompassing administrative and clinical practices to ensure efficiency, quality, and sustainability in healthcare services. Beyond mere administration, healthcare management faces contemporary challenges such as an aging population and increasing chronic diseases, necessitating agile adaptations and technological innovations. Key principles of effective healthcare management include operational efficiency, ensuring optimization of human and financial resources, and quality of care, promoting safe and personalized healthcare delivery. Financial sustainability is crucial for ensuring service continuity, while innovation and technology play pivotal roles in continuous care improvement and response to public health emergencies. Risk management is also discussed as fundamental to safeguarding patient safety and healthcare institution reputation, involving regulatory compliance and cybersecurity measures. In conclusion, the strategic integration of these principles enhances not only institutions' crisis responsiveness but also fosters a patient-centered and sustainable care environment in the long term.

Human Resource Optimization Strategy in Improving the Quality of Life of The Sendangdawung Village Community

Kuliah Kerja Nyata (KKN) is a form of education by providing student learning experiences in the community outside the campus. Through service activities to Sendangdawung Village, there is synergy with the Village Government, Agencies and the Community in various ways. The purpose of this service is to help the Village in order to optimize Human Resources through all activities, both constructive and sustainable. Service is carried out by participating in existing activities or making activities necessary for optimization purposes. The results of the service provide an overview of what needs to be added to existing activities and what needs to be presented in order to improve the quality of life of the Sendangdawung Village Community.

Optimalisasi Sumber Daya Manusia dalam Perencanaan Pendidikan Islam

This study aims to determine the strategies used for the optimization of human resources in Islamic education planning. The method used is literature review. This research is a type of research that collects data from literature. Data collection techniques through references to books, journals, and websites. The initial step of this research is to study the data from previous research related to human resource planning. Data collection through books, journals, and websites. processing data. Data analysis is carried out with stages of data reduction, data presentation, and conclusion drawing. The results showed that the optimization of human resources in Islamic education planning is a crucial step to face the challenges of globalization and technological development. Through proper recruitment, continuous training, performance evaluation, as well as technology implementation, the quality of Islamic education can be improved. Thus, Islamic education can continue to contribute in forming a generation of faith, knowledge, and noble morals. This effort requires cooperation between various parties, including the government, educational institutions, and the community, to realize a superior and competitive Islamic education system

The Impact of Female Entrepreneurship on Economic Growth in Developing and Developed Economies

Abstract Significance. The development of women’s entrepreneurship is still a largely untapped potential for growth and prosperity. The economic role of women is crucial for growth and a more equitable distribution of wealth. Economic opportunities are much more important for women today than for the previous generation, especially for developing countries. In this regard, the impact of women’s entrepreneurship on economic growth is an important area of research reflecting broader interests in gender equality, economic development and human resource optimization. Objectives. Analysis of the impact of women’s entrepreneurship on the economies of developed and developing countries and the development of some recommendations for the development of women’s entrepreneurship. Methods. For this study, the method of ordinary least squares (OLS) was used, which analyses the impact of women’s entrepreneurship on economic growth in developed and developing countries in the period 2012-2022. Results. The under-development of women’s entrepreneurship represents untapped potential for growth and prosperity in many countries. In this regard, there is an urgent need to create more favourable conditions for the development and strengthening of women’s entrepreneurship, more thoughtful policies and decisive measures aimed at empowering women are crucial. The results obtained in the course of this study are important for the development of theoretical and methodological foundations for the study of women’s entrepreneurship. The results of the study may be useful for women entrepreneurs, NGOs/NGOs, development institutions and government agencies.

Optimization of Human Resources and Utilization of Information Technology in Driving the Digital Economy

This study investigates the optimization of human resources (HR) and the utilization of information technology (IT) in driving the digital economy in Indonesia through a quantitative analysis. The digital economy has emerged as a transformative force reshaping industries, economies, and societies globally, with Indonesia positioned at the forefront of this digital revolution. However, the effective optimization of HR and IT remains critical for Indonesia to realize its full potential in the digital era. Through surveys and secondary data analysis, this research evaluates the current status of HR optimization and IT utilization, identifies influencing factors, and provides recommendations for policymakers and businesses. The findings offer valuable insights for fostering inclusive and sustainable digital development in Indonesia.

Optimalisasi Sumber Daya Manusia dalam Pengelolaan Kawasan Daerah Aliran Sungai Serayu Berbasis Konservasi

Environmental problems have not been fully addressed. These issues continue to grow in number and variety. In reality, humans should not exploit natural resources excessively as this can cause damage and depletion. Therefore, humans need to be active in managing and preserving the environment. This article aims to understand the support provided in efforts to optimize human resources based on conservation. The methods used include situational analysis (planning), training, evaluation, and ongoing support. The activities carried out show that the mobilized activity pattern in the form of conservation field schools as a training ground has successfully increased the optimization of human resources. Through new experiences and understanding, good land management with a conservation concept can be applied. Conservation of vegetation and technical civil as a result of its activities. This support was carried out in the village of Mlandi, Garung District, Wonosobo Regency, and has successfully reduced soil degradation, landslides, and floods. Community participation has also increased, providing motivation to play an active role and increase awareness and concern for the environment, as well as impacting economic improvement through coffee production.

Research on Human Resource Allocation Algorithm for Application Integration Feature Selection in the Internet of Things Environment

Abstract In the context of the Internet of Things, the existing human resource optimization allocation methods have problems such as time-consuming resource allocation, improper allocation, improper matching between tasks and resources, and unsatisfactory human resources. This paper proposes a new human resource allocation method based on the multi-objective method, that is, the use of comprehensive feature selection for resource allocation. The method first extracts human resource features to establish a database, then completes feature selection based on the comprehensive feature selection method, establishes the human resource allocation model, and allocates resources according to various factors and resource characteristics. Finally, the genetic algorithm is used to solve the human resource allocation model to achieve the optimal allocation of human resources. The experimental results show that the proposed method takes a shorter time to allocate human resources and a shorter time to execute tasks after the allocation is completed, which verifies the high scheduling efficiency and effectiveness of the proposed method.

Development trend and Challenge Analysis of Manufacturing Industry Under the Background of Artificial Intelligence

Artificial Intelligence (AI), as a new technology emerging in recent years, has received great attention in various fields. For the manufacturing industry, the ability to integrate artificial intelligence technology into the production process of manufacturing can improve the productivity of manufacturing enterprises. This paper discusses the development trend of the manufacturing industry in the context of artificial intelligence technology. It analyses several advantages of AI technology applied to the manufacturing industry, including innovation in technology, helping enterprises to achieve the optimization of human resources as well as improving the matching degree of the market. Based on the above advantages, the integration of artificial intelligence in the manufacturing industry can be further developed. At the same time, this paper also analyses the current integration of artificial intelligence technology problems and difficulties and puts forward suggestions. The results of this paper can be proved for the integration of artificial intelligence into the manufacturing industry, confirming that the integration of artificial intelligence plays a great role in the development of the manufacturing industry.

A 4th Industrial Revolution Systems Approach for Human Resource Optimization in Maintenance

Human resource in maintenance remains a challenge in the overall business labor budget, labor costs, and the management thereof. This study aims to develop a model for maintenance management which fosters an optimum human resource in maintenance. The study uses system dynamics modeling to determine the maintenance management system's behavior. The 4IR technologies are integrated into this model and simulations are conducted to determine the 4IR technologies’ impact analysis using descriptive statistics. Post these simulations, the results revealed that the implementation of 4IR technologies yields an overall gain in maintenance human resource optimization by 27.46% gain when compared to a similar system of maintenance management without the 4IR technologies’ deployment. Another benefit of the 4IR technologies deployment is analyzed using standard deviation and found to foster a predictive maintenance strategy. This study concludes that the predictive maintenance strategy intensifies the optimization of the overall human resource in maintenance.

Linear programming analysis of the optimal allocation problem of human resources in engineering projects

Abstract Human resources are the most dynamic and creative factors in the production factors of engineering projects, and human resource allocation is the key link to whether human resources can give full play to their roles. This paper discusses the realization strategy of optimal human resource allocation for engineering projects and designs a human resource optimization allocation scheme for multiple engineering projects based on the key human resource element of the project manager. Firstly, it constructs the engineering project manager competency element index system and engineering project priority evaluation index system and applies a multi-level fuzzy comprehensive evaluation method to evaluate project manager competency and engineering project priority ranking, respectively. Finally, taking an engineering and construction company as an example, using a linear programming model, an empirical study of human resource allocation for engineering projects is conducted. In the human resource allocation scheme of the optimization model constructed in this paper, all 30 project managers are assigned to 10 projects to meet the staffing needs of all projects within the planned construction period, and the total labor cost is 5.897 million yuan, which is smaller than the 6.192 million yuan of the traditional allocation scheme. It shows that the multi-project staffing model proposed in this paper can ensure the project staffing needs while completing the staff allocation with the lowest total labor cost, which is more effective compared with the traditional staffing methods.

Digital Human Resources Optimization Allocation Model and Algorithm of Artificial Intelligence Technology

From the perspective of optimal allocation of enterprise human resources, in view of the challenges brought by changes in enterprise organizational structure and changes in job requirements in the digital environment to human resource allocation, the article aims to improve the competitiveness of enterprises, combines the characteristics of enterprise organizational structure and job demand, and analyzes the optimal allocation of human resources. The article builds a digital human resources optimization allocation model based on artificial intelligence technology, and designs an artificial intelligence-based digital human resources optimization allocation algorithm. The results show that the resource utilization rate of the digital human resources optimization allocation model based on artificial intelligence technology used in the experiment can reach up to 79.2%.

Analysis of the Impact of Human Resource Optimization on Supply Chain Efficiency Based on Performance Management

With the increasingly fierce competition in the global market, the demand of enterprises to improve supply chain efficiency is becoming more and more urgent. As one of the valuable resources of enterprises, human resources play an important role in optimizing supply chain efficiency. Based on this, this paper will analyze the impact of human resource optimization on supply chain efficiency based on performance management from the aspects of employee performance, teamwork, talent training, and process design to provide useful reference and guidance for enterprises to improve supply chain operational efficiency.

Analysis of Challenges and Countermeasures for Higher Education Management in the Era of Big Data

Abstract This paper analyzes the factors affecting the efficiency value of human resource management in higher education by using the Tobit regression model, puts forward the hypotheses of the influencing factors, constructs a model of the factors affecting the efficiency of human resource utilization in higher education, and derives the specific correlation coefficients of the influencing factors. After examining the correlation between each dimension of teacher management culture in higher education and teachers’ organizational commitment and its dimensions using Pearson’s product-difference correlation method, the correlation between educational management and teachers’ teaching commitment is verified through the quantitative measurement of correlation analysis and linear regression analysis. Based on the decision tree algorithm and multiple linear regression method to predict the resource allocation of teachers’ positions, we constructed a model of human resource optimization and allocation strategy for college teachers and carried out the actual analysis of the utilization rate of resources for teachers’ positions and teachers’ schedules by genetic algorithm. Analysis obtained shows that selecting different population sizes for test results in teacher positions and teacher scheduling programs results in higher algorithm efficiency for populations between 30-50. When the value of the population is taken in the range of 30-50, the average time of the experiment is 60380.4ms-153199.2ms.

Unlocking Managerial Performance: The Impact of Organizational Culture and Employee Personality through Knowledge Sharing

In the modern corporate landscape, the optimization of human resources stands as a pivotal concern for organizations. This study endeavors to explore the influence of organizational culture and employee personality on managerial performance, with knowledge sharing as a mediating variable. Employing rigorous empirical methods, our findings reveal that both organizational culture and employee personality exert both direct and indirect effects on managerial performance, mediated by knowledge sharing. This research underscores the significance of fostering a conducive organizational culture and understanding employee personalities to enhance overall managerial performance. These insights hold substantial implications for businesses striving to maximize their human resource potential in today's competitive environment. Highlights: Organizational Culture: Investigates the influence of organizational culture on managerial performance, emphasizing the importance of a conducive workplace environment. Employee Personality: Explores how employee personality traits impact managerial performance, shedding light on the role of individual differences. Knowledge Sharing: Highlights the mediating role of knowledge sharing in the relationship between organizational culture, employee personality, and managerial performance, emphasizing its significance for effective human resource management. Keywords: Organizational Culture, Employee Personality, Managerial Performance, Knowledge Sharing, Human Resource Optimization

Exploring Extension Implications for Slow Food Development in Iran: A Comprehensive Analysis

This research aimed to ascertain the prerequisites for the advancement of the slow food movement in Iran. Employing both quantitative and qualitative methods, it adopted a descriptive and survey-oriented design. Semi-structured interviews were conducted with 15 experts well-versed in the extension of slow food, employing a snowball sampling technique. The interview data underwent coding and analysis employing open coding, axial coding, and selective coding methods. The study encompassed experts and managers in agricultural extension and education across the nation. For statistical analysis, a structural equation model and confirmatory factor analysis were employed, utilizing SMART PLS 3 and SPSS 26 software. The goodness-of-fit index (GoF) was utilized to evaluate the comprehensive validity of the research model. From a qualitative perspective, six primary facets of the slow food model emerged: 1. Extension strategies in harmony with slow food principles; 2. Methods of extending the slow food movement; 3. Supportive policies for slow food propagation; 4. Intervening conditions; 5. Causal conditions (triggers and applications) of the slow food paradigm; and 6. Outcomes resulting from the adoption of the slow food ethos. These facets collectively comprised a total of 38 sub-components. Through analysis of the structural equation model, key facets with substantial operational weight and significant influence on the promotion of slow food were identified. These prominent components encompass disease prevention, the organization of festivals and exhibitions, the revision of laws, the shaping of individuals’ lifestyles, the enhancement of food tourism capacity, and the optimization of human resources.