Scientific Management System Research Articles

Research on the Influence Path of Human Resource Management on Employees’ Job Performance in Catering Enterprises

This study focuses on the influence path of human resource management in catering enterprises on employees’ work performance. Through systematic analysis of key human resource management links such as recruitment, selection, training and development, performance management, salary, and welfare, it reveals how these management strategies directly or indirectly promote the improvement of employees’ personal ability, work attitude, and team cooperation. This can significantly improve employee performance. The research found that a scientific human resource management system can not only effectively stimulate the enthusiasm and creativity of employees, but also enhance the cohesion and market competitiveness of enterprises, and provide an important guarantee for the sustainable development and success of catering enterprises. This study has important practical guiding significance for catering enterprises to optimize human resource management strategy and improve staff performance.

Diversity and ecotourism on multipurpose marine protected areas

Beyond its ecological benefits, there is a growing call for the establishment of marine protected areas (MPAs) for varied economic activities. Due to the decline in the wild catch, there is an increase in demand for farmed fish and a call for the development of aquaculture production in marine protected areas. In addition, the diversity in marine protected areas is suitable for the introduction of a tourism industry. Therefore, we need to design a clear scientific management system that balances the main goal of marine protected areas with the economic benefits, of aquaculture and tourism activities. This paper aims to determine the optimal size of the marine protected areas, the aquaculture size in the protected areas, and the level of tourism activities that maximize the overall benefit of the stakeholders. This is vital for the co-existence and sustainability of different sectors such as aquaculture production, tourism activities, and open-access fisheries.

Utilization of big data analytics to identify population health trends and optimize healthcare delivery system efficiency

Big data analytics has emerged as an incredibly valuable tool in understanding population health trends and improving the effectiveness of healthcare delivery systems. By leveraging big data sources from various domains, including the patients’ electronic health records, claims data, wearables, and social media accounts, healthcare organizations can obtain novel and rich insights regarding population health characteristics, predisposing factors, and disease progression. The arrival of big data has transformed healthcare organizations by providing a scientific population health management and health system enhancement tool. Using superior analytical tools, healthcare entrepreneurs and policymakers can discover relations, rates, and patterns that are concealed in large data sets. Such knowledge can be used for early detection of possible interventions, management of resources, and prevention measures, thus leading to better health and less spending on health issues. Moreover, big data analytics helps in early diagnostics and the development of management strategies for high-risk groups, which in turn improves the functioning and effectiveness of healthcare systems. It is also important to note that big data solutions in healthcare are not limited to population health management, but also include functional aspects of healthcare organizations. Additionally, using data about patient movements, resource consumption, and clinical activity, it is possible to determine inefficiencies and opportunities to improve processes in healthcare organizations. This approach of collecting and analyzing data helps in decision making thus reducing time and improving patient flow and experience. However, incorporating real-time data into the clinical decision support systems can improve diagnostic capabilities, treatments offered, and patient tracking resulting in improved quality of services delivered.

OBE-based Lab Opening Model Construction in Navigation Technology

Carried by the opening of maritime technological laboratories, depended upon technical means of informationalization, we try to realize the intellectual opening of laboratories. Meanwhile, we also, by the means of establishing scientific and high-efficient opening management systems, carry out classified and storied opening pattern, and implement the connotation of Obe concept, integrate OBE concept into the talent cultivation of navigation technology so as to fully develop the educating effect of professional laboratories and assis in the high-level talent cultivation in navigation technology.

Urban Emergency Evacuation Path Optimization Based on Uncertain Environments to Enhance Response for Symmetric and Asymmetric Evacuation Problems

Background: Serious secondary disasters caused by extreme natural weather conditions occur frequently, making it essential to establish a scientific and efficient modern emergency management system to maximize life-saving efforts. Methods: This study focuses on the uncertain environment of urban road networks and employs fuzzy theory to construct a 0–1 integer programming model for emergency evacuation paths that minimizes the average expected travel time. Results: We enhanced the neighborhood search strategy of the traditional ACO_time by incorporating the 2-opt and 3-opt perturbation mechanisms from the SA algorithm. Additionally, we utilized improved ant-volume and ant-perimeter models, along with their combinations, in the pheromone-updating mechanism of the basic ACO. The heuristic principles of the A* algorithm were integrated, introducing the joint influence of path and time into the heuristic function of the ACO algorithm. Conclusions: The IACO3 algorithm was tested on the Sioux Falls network and the Berlin Heisenheimer Center network. The computation time of the improved IACO3 algorithm was reduced by up to 20% compared to the original IACO3 algorithm in relation to the SA algorithm, with only a 4–5% increase in computation time compared to the ACO_time algorithm, which translates to an increase of merely 4–5 s. This demonstrates the superior solution efficiency of the IACO3 algorithm.

Producer services agglomeration and low-carbon economic transition: the role of economic growth target constraint

Abstract Objective. Producer services are an intermediate input factor that permeates every link in the industrial production chain and is essential to the growth of a low-carbon economy. This study aims to elucidate the connection between producer services agglomeration (PSA) and low-carbon economic transition. Methods. Based on China’s provincial panel data from 2004 to 2021, we empirically test the influence of PSA on low-carbon economic transition using a two-way fixed effects model, and utilize government work reports to construct an indicator of economic growth target constraints and its characteristics to further explore its moderating effect. Results. PSA contributes to enhancing low-carbon economic transition. The heterogeneity test finds that PSA significantly helps low-carbon economic transition in the east and west regions, but not in the central region. The quantile regression findings demonstrate that PSA is more effective at raising the level of low-carbon economic transition at the 10th and 90th quantiles, which indicates that the carbon reduction and efficiency enhancement effects of PSA play a greater role in regions with lower and higher low-carbon economic transition levels. Further research presents that the economic growth target constraint negatively moderates PSA’s impact on low-carbon economic transition, but this constraint characterized by soft constraints strengthens the positive effect of PSA on low-carbon economic transition. Implications. In view of this, the government can foster PSA in accordance with local conditions, optimize agglomeration area layout, and establish a scientific and reasonable government target management system to strengthen low-carbon and high-quality economic development.

A technical–scientific content management system on water reuse as an environmental education tool: the experience of a Portugal/Brazil partnership

ABSTRACT This study presents the Instituto Reúso de Água (IRdA) as a high-quality environmental education tool. The results measured the reach of IRdA's direct (webinars, learning series, and mentoring) and indirect (technical–scientific repository and the production of more easily assimilated data) educational actions since its conception (Period 01), operation of the platform (Period 02), and operation of IRdA (Period 03), through its digital platform and social media. The direct actions proved to be effective in disseminating knowledge, highlighting a preference for the topic ‘regulation’ and adherence to content produced in different video formats. On the other hand, the indirect actions showed that the scientific approach is less accessed due to its complex language. However, when presented into more accessible data, scientific content gains confidence and can be of great relevance for the transformation of society. The results corroborate the current trend of greater educational reach in a free and digital format to build a society truly committed to water reuse and its more efficient management.

Practice of Educational Administration Theories in Secondary School of Bangladesh

The efficient execution of educational programs in schools has made the position of educational administrators increasingly important. Theories offer a conceptual structure that facilitates comprehending, forecasting, and managing behavior within organizational settings. The purpose of this study is to explore the practice of educational administration (EA) theories in secondary school of Bangladesh, and the role of educational administrators. A qualitative approach is used for gaining in-depth understanding in the real-life-situation. Semi-Structure Interview and Focus Group Discussion have been used to collect data. Data have been analyzed using thematic analysis technique. Findings show that secondary schools of Bangladesh are practicing the Scientific Management Theory and System Theory collaboratively through maintaining formal structure. Human Relationship and Behavioral Approach Theory have been practiced in the shadow of formal structure. As well a hybrid approach is being practiced in the schools. The administrators find the challenges to practice these theories. The challenges are lack of infrastructure, scarcity of teaching learning resources, teacher-student-ratio, local conflict, and school managing committee’s internal clash. The findings of this study would be useful for educators, educational administrators and researchers in advancing EA theories in education. Teacher’s World: Journal of Education and Res arch, 50(1): 135-154

Digital transformation of the scientific and technical information management system in Chinese universities

Digital transformation of the scientific and technical information management system in Chinese universities

Analysis and Implementation of University Teacher Salary Prediction Based on Decision Tree Regression Model

This study is based on the decision tree regression model, utilizing the Python programming language and third-party libraries such as Scikit-learn, to mine and analyze data of university teachers over the past five years. A decision tree regression model is constructed, enabling the prediction and analysis of university teacher salaries. This achievement provides university administrators with a more scientific, objective, and efficient decision-making reference, aiding in the construction of a more scientific and systematic budget management system for universities.

Research on the Construction of High-level Postgraduate Tutors Team based on Reform of Scientific and Technological Management System

The postgraduate tutor is the key force of postgraduate training and the first responsible person of postgraduate training. The postgraduate tutor team is the key factor to ensure the quality of postgraduate education. In order to better respond to the challenges brought by the reform of the scientific and technological management system in the new era, grasp the opportunities brought by the new situation, analyze and sort out the current situation and problems of the college's tutor team, and explore the construction mechanism of high-level postgraduate supervisor team under the new situation.

澳大利亚科学数据发展政策与规划

Australia attaches great importance to the efficient management of scientific data resources, acknowledging data as a key driving force for innovative development. The nation actively coordinates and integrates digital infrastructure construction while making data openness one of the top priorities within the public sector. To effectively promote the development of scientific data in Australia, the country has implemented effective management and open sharing practices for scientific data, recognizing it as a valuable asset, which guarantees the discoverability, accessibility, and usability of data resources. Australia has formulated different policies at different stages and established different levels of support and regulatory agencies, providing strong guarantees for government policy formulation, strategic planning, and plan service implementation. Based on a wide range of literature and website information resources, this paper employs meticulous techniques in screening, extraction, analysis, and organization, with a focus on comprehensively sorting and analyzing the policy system construction, support and regulatory agencies, strategic planning support, infrastructure construction, and practical effectiveness of Australian scientific data initiatives. The paper will serve as a reference for China in formulating a scientific data policy management system, establishing a sound data resource sharing mechanism, and reinforcing the data security guarantee system.

A Model for Describing the Management Processes in the Scientific Sector. Verification

The model of management in the scientific sector presented in the previous article, as well as some alternative models applied to the organization of science management are used to interpret various statistical data. The article also considers intersectoral comparisons of science financing in countries of different levels of economic development, including the costs of basic research. It is shown that the correlation between science costs and gross domestic product (GDP) is 32.9% in more than 120 countries of the world and GDP per capita is 50.9%. They are not statistically significant. On average, the share of basic study costs in domestic research and development expenses does not depend on the level of wealth of countries. This allows us to conclude in favor of a mutually consistent management model in the scientific sector. The author analyzes the dynamics of the number of researchers and small enterprises in the sector of science and scientific services, as well as the dynamics of the number of academic employees in the sectors of science in the 1990s. It is demonstrated that the decrease in their number mainly occurred in the applied sectors and to a lesser extent in the fundamental research sector. These data are described more fully by the proposed mutually consistent model of science than by the alternative models. Possible adjustments in the organization of the scientific sector management system are examined, including in terms of changes in input impacts on the science sector, output indicators characterizing its effectiveness, as well as changes in the organization of the scientific sector and management bodies, which follow from the considered mutually agreed management model in this sector of the economy.

The impact of performance feedback on corporate ESG performance: Mediating role of environmental strategy.

The purpose of this study is to investigate the impact of performance feedback (performance expectation surplus, performance expectation deficit) on corporate ESG performance, and this paper also to investigate the role of environmental strategy as a mechanism in the impact of enterprises' performance feedback on corporate ESG performance. The study used data from 3679 companies listed on the Shanghai and Shenzhen stock exchanges for the period 2009-2021 and also measured the intensity of corporate environmental strategies through analysis. Finally, we used a fixed effects model to test the research hypothesis. This study shows that enterprise performance feedback positively affects corporate ESG performance and that environmental strategy plays a significant mechanistic role in enterprise performance feedback and corporate ESG performance. Overall, performance expectation surplus negatively affects ESG performance, performance expectation deficit positively affects ESG performance, and the mechanism of environmental strategy plays a significant role in performance expectation deficit and ESG performance. The results of this study can help enterprises establish a scientific environmental management system, strengthen the supervision of enterprise environmental management, and have certain reference significance for enterprises to speed up the implementation of environmental protection measures. This study adds to the literature by describing corporate ESG performance using performance feedback theory and explaining the inherent role of enterprise performance feedback in corporate ESG performance utilizing environmental strategies.

Exploring the Optimisation of Enterprise Performance Management in the Context of Artificial Intelligence

The impact of artificial intelligence on enterprises has gradually penetrated the human resource management of enterprises, and artificial intelligence is accelerating the excess of traditional human resources to predictive human resources, which also requires more talents in the field of artificial intelligence to devote themselves to enterprises. Through literature review and relevant cases, this paper finds that the current enterprise performance management has the problems of backward performance appraisal methods, lack of effective performance communication, and insufficient use of performance evaluation results. It is found that with the help of AI, enterprises can use big data and algorithms, enterprises can establish a more scientific performance management system, use AI to select appropriate performance management tools, and finally get effective performance appraisal results. Enterprises can use AI coaching and transparent performance feedback to promote performance communication and make performance results can play a role in promoting employee performance improvement. This paper concludes that the reasonable use of AI by enterprises can solve many existing problems of their performance management and can save time and labor costs for enterprises. Therefore, enterprises need to seize the opportunities brought by AI and pay attention to the research of AI technology to help improve performance management.

The Choice of the Direction of China's Research Fund Management Policy in the New Era

This paper reviews the history of changes in China's scientific research funding management policy from 1949, and outlines the characteristics of scientific research funding management in the four phases from the initial establishment of the system, the trial reform, the comprehensive reform to the deepening reform. From material-heavy to human-heavy, and from fragmentation to systematization, and based on the logic of the change of scientific research funding management policy, it proposes the optimization direction of scientific research funding management policy for the current problems in the field of scientific research funding management, such as establishing the governance system of scientific research funding management, cultivating the professional talent team of scientific research funding, strengthening the risk supervision and management of scientific research funding, and emphasizing the target performance evaluation of scientific research funding.

RESEARCH ON THE EMPLOYEE COMPENSATION MANAGEMENT OF PROPERTY COMPANY H

With the initiation of West Development, the property industry in Duyun has developed rapidly. H Property Company mainly serves high-end residential quarters in Duyun City, but due to the relatively backward salary management, the staff mobility is large, affecting the normal operation and development of the company. In order to solve this problem, this article’s research object focuses on H Property Company’s salary management of the enterprise's personnel. The conclusion of this study has guiding significance for the salary management of property companies. Through the optimization of salary management, a complete and scientific performance management system is constructed to enhance the core competitiveness of property companies and promote their healthy, long-term, and efficient development.

The Path and Enlightenment of American Project-Based Learning to Promote the Cultivation of College Students’ Innovative Ability

In this new era of fierce international competition, innovation is the motive force of a country’s development, so cultivation of innovative talents is particularly important in this era. The innovative education in the United States is characterised by project-based learning, which plays a prominent role in cultivating innovative talents and has certain reference value. This paper will summarise the outstanding characteristics of PBL in the United States, that is, PBL in the United States is cooperative, practical and autonomous. Universities cooperate with social enterprises. Interdisciplinary ability is of vital significance and PBL emphasises that teachers should pay attention to guidance rather than control the process. At the same time, multiple assessment standards of comprehensive network should be set. PBL focuses on students’ independent learning ability. Then the paper summarises the lessons and inspirations brought by PBL innovation education, that is, it pays attention to the cooperation with social enterprises while it has a more reasonable practice setting orientation and sets up a more scientific management system, so as to enhance the innovation ability and international competitiveness of college students in various countries.

Research on university entrepreneurship education in the context of “mass entrepreneurship and innovation”

In recent years, mass entrepreneurship and innovation have been deeply integrated with economic and social development, which has played an important role in expanding employment and improving people’s livelihood. At the same time, innovation and entrepreneurship education and practical courses have gradually been incorporated into the compulsory courses system of colleges and universities, providing some help to solve the employment difficulties of college graduates. However, in the process of gradually strengthening entrepreneurship education in colleges and universities, there are still many shortcomings in entrepreneurship education atmosphere, management and evaluation system, curriculum system, teaching methods and teaching staff. Therefore, colleges and universities should create an entrepreneurial culture atmosphere, construct a scientific entrepreneurial education management and evaluation system, “create and integrate” with practice, and build a scientific team of teachers to improve the quality of entrepreneurial education. This paper first points out the importance of entrepreneurship education in colleges and universities based on the background of mass entrepreneurship and innovation, then summarizes the practical difficulties of entrepreneurship education in colleges and universities, and finally proposes ways to promote entrepreneurship education in colleges and universities, hoping to inspire colleges and universities to continue to carry out entrepreneurship education.

Conservation Status and Scheme of Christian Cultural Heritage in Chungnam Province, Korea

For the stable conservation of cultural heritage, it is truly meaningful when it becomes the objects of national management. Most cultural heritage related to religion has touching stories of historical development, succession and social resonance, and includes tangible evidence of noble sacrifice. Therefore, the Christian heritage of Chungnam Province examined through this study also deserves sufficient respect. However, cultural heritage is valued for its universal validity, authenticity and integrity that go beyond ideas and ideologies. In addition, cultural heritage that symbolizes the nation, era, history and culture requires original assets that can be preserved, transmitted and utilized beyond various interests. As examined in this study, the nine church buildings and six historic sites and monuments in Chungnam Province established before the 1960s are not fully evaluated as cultural heritage despite their historicity. Therefore, authenticity must be created through continuous research, value discovery and conservation scheme. And, the search for yet unknown records and cultural heritage must continue, and the standards and validity evaluation must be verified. If the Christian history that connects modern times in Chungnam Province is reexamined, cultural heritage such as buildings and records are discovered, and a scientific conservation and management system is established, it will serve as an opportunity to promote the development of not only Christianity but also local culture, and the identity of Chungnam’s Christian culture. It is expected that it can be utilized as an important resource in forming.