Resource Model Research Articles

ПОТЕНЦИАЛ РЕСУРСНОЙ МОДЕЛИ УПРАВЛЕНИЯ ОРГАНИЗАЦИЕЙ В НОВЫХ УСЛОВИЯХ

In conditions of high dynamics of the external environment, global risks and constraints, ensuring the competitiveness of Russian business becomes an even more difficult managerial task that requires non-traditional approaches. The key issue of management in a modern organization is the question of choosing an approach and methods for creating and retaining a competitive advantage. The purpose of the study is to reveal the competitive potential of the resource management model of an organization in conditions of increasing development constraints. The study compared different models and schools united by a resource approach. The strategic parameters of the organization's resources are disclosed, in the presence of which the strategic goals of the organization are achievable. The significant features of the resource model are highlighted, which assumes the formation of competitive advantages of the organization by optimizing unique and standard resources. It is revealed that the development of the resource model in modern conditions is supported by the concept of "dynamic abilities", which is based on the potential of using "organizational abilities" and "dynamic resources" of the organization. It is shown that the resource model of an organization in modern conditions is dynamic and can be effectively implemented both if it is oriented towards environmental factors and the internal resource potential of the organization. The study of modern resource management models, highlighting their specific features and advantages will make it possible to make an informed choice of the model that will maximally correlate with the goals of the organization, its abilities and capabilities, as well as maximally meet the conditions of external dynamics. As a result, the company will have a wide range of methods and models to achieve competitive advantages in the market.

A model for enterprise resource planning implementation in the Saudi public sector organizations

Studies dedicated to user's adoption, acceptance, and use of IT have been rampant since the advent of computers and IT. Therefore, it becomes essential to assess the value of IT to organizations and to understand the determinants of such value in terms of acceptance, integration, and technology use. In this regard, Enterprise Resource Planning (ERP) adoption remains challenging for professionals and practitioners alike. Previous research neglected many vital factors, such as user involvement (participation, engagement, and resilience) and environmental factors (change management, competitiveness, and pandemic pressure). Therefore, this study aims to identify the most significant factors that influence the successful adoption of ERP and propose a conceptual model. The Technology Acceptance Model with DeLone and McLean Information Success Models were the base for the study. The findings of this study reveal a conceptual model that facilitates the successful adoption of ERP systems. Through the identification of critical factors, one factor emerged as a permanent component in the adoption process. This conceptual model provides valuable insights for organizations seeking to implement and adopt ERP systems effectively. The study's findings offer valuable insights for firms pursuing long-term economic success through ERP adoption. Understanding the influencing factors enables efficient and effective deployment. Implications are relevant to organizations, ERP vendors, and decision-makers, guiding informed decision-making and prioritizing success factors.

Research on teaching reform and practice of architectural design courses in colleges and universities based on big data analysis

Abstract In this paper, we carry out an innovative reform of architectural design professional courses in colleges and universities, focusing on improving the effect of practical teaching by combining knowledge maps and new technological means. Aiming at the problems of long practice cycle, high cost and difficulty verifying the effect in traditional teaching, it promotes the transformation of teaching mode to immersion, interaction and autonomy. The article discusses the application of knowledge maps in optimizing the course content, improving the effect of teaching organization, such as the association model of knowledge elements and learning resources, and calculating the ontological conceptual similarity of knowledge nodes. Meanwhile, the introduction of augmented reality technology and the Analysis of the correlation between learning styles and academic performance highlight the critical role of technology in enhancing the efficiency and quality of learning. The difference in average grades before and after the teaching reform in the experimental class was significant, with the most enormous difference of 10.76 points in the second round of test results. The most significant improvement was observed in the knowledge part of the course, with an increase of 0.72, and in the practical part, with an increase of 0.39. The students’ architectural design and practice skills were significantly improved in all dimensions. The teaching reform program proposed in this paper effectively enhances the architectural design program’s teaching quality and students’ practical ability.

Modeling of Inverter-Based Resources for Power System Harmonics Studies

Modeling of Inverter-Based Resources for Power System Harmonics Studies

Collaborative recommendation model of MOOC online learning resources based on scoring matrix

Collaborative recommendation model of MOOC online learning resources based on scoring matrix

Determining the significant input parameters of a forecasting model for material resources of residential construction projects at the investment feasibility assessment stage

Any investor/developer spends considerable time to make a construction decision in analyzing various parameters, such as the building site area, height restrictions, total area, quantity of necessary materials, etc. First of all, this is due to a high level of uncertainty and the complexity of estimating costs for the initial stages of project implementation. The unavailability of detailed design data at the investment justification stage makes it impossible to conduct a sufficiently accurate assessment of the value and period of construction to make highly accurate managerial decisions. However, one of the key issues, namely determining the significant parameters that have the greatest impact on future project-related decisions, has not been studied sufficiently. This article identifies the most significant parameters that impact the future characteristics of residential buildings based on an expert assessment using the a priori ranking method. The reliability of the assessment is confirmed using the coefficient of concordance. A conclusion is provided about their applicability as the input values of a forecasting model that uses machine learning and artificial intelligence to determine various technical and economic characteristics of residential buildings.

Construction of a Personalized Recommendation Service Model for Online Learning Resources

Construction of a Personalized Recommendation Service Model for Online Learning Resources

Переход к экономике замкнутого цикла в рамках комплексного управления водными ресурсами. Обзор методов оценки

The transition from a linear water use model to a circular economy (CE) is an urgent task in the context of growing freshwater shortages, pollution of natural water bodies and climate change. It is important to integrate «grey» (engineered) infrastructure with «green» (in particular, with nature-based solutions) infrastructure, which will connect water systems managed by humans and nature. Addressing these issues requires developing approaches to conduct a comprehensive analysis of the economic impact of CE in the water sector from a systems perspective, to develop a circular policy. The object of study are linear and circular models of water resources (WR) management. The subject of the study is the prospects for the transition to integrated WR management, considering alternative types of water supply, supported by assessments. The purpose of the study is to substantiate the relevance of the transition to integrated WR management, including solutions aimed at the transition to closed circular cycle water systems; consideration of circular strategies inherent in WR; review of approaches for assessing circular solutions in the water sector. The authors proceed from the following: the generally accepted definition of a CE in the water sector is one of the decisive factors for the successful transition to circular systems; the concept of a CE appears to be one of the key approaches to achieving sustainable development of the water sector; nature-based solutions are seen as an important tool for environmental conservation, providing additional benefits (improving urban microclimate, water quality, preserving biodiversity, reducing the impact of anthropogenic factors on water bodies); integration impact assessment approaches for CE in the water sector contributes to comprehensive assessment of circular solutions. Conclusions: integrated water resources management must consider alternative water supplies; systemic changes caused by the transition to a CE in the water sector should be given priority attention, giving preference to solutions integrating traditional and «green» infrastructure; the transition to CE requires the development of approaches (with the ability to adapt and scale them to specific conditions) for the economic assessment of the systemic impact of circular water systems. The study is aimed at researchers and decision makers in the field of WR management. The conclusions drawn can be used in developing strategies for the development of water management and making decisions at various levels. A systematic literature review methodology was used, based on tracking keywords in articles posted in scientific electronic libraries; scientometric analysis; analytical and logical methods for process analysis in the context of CE and water management.

Development of a Career Path Planning Model for Essential and Key Human Resources (Case Study: Saipa Automotive Group Companies)

Development of a Career Path Planning Model for Essential and Key Human Resources (Case Study: Saipa Automotive Group Companies)

User Satisfaction Enhancement Strategies for Intelligent Library and Intelligence Services

Abstract China’s library and intelligence organizations have a long history, rich resources and excellent talents and have played an important role in various consulting services. They are currently facing fierce market competition, making it challenging to meet users’ needs. This paper first establishes the principles of digital information resource services, based on the principles, reference to the ACSI model and considers a number of indicators to establish a scientific user satisfaction measurement model of digital resources in line with the actual development of library intelligence. The relationship between intelligent library intelligence and user satisfaction is investigated by combining a measurement model and structural model. Relevant hypotheses are proposed, research variables are identified, and empirical analysis is utilized to evaluate the model’s practicability. The results of the empirical research show that the hypotheses that library intelligence services can improve user satisfaction are verified through the path significance test, and after analysis, we know that the standardized path coefficients of paths 1, 3-7 are 0.526, 0.395, 0.426, 0.536, 0.163, and 0.168, respectively, which are greater than 0 and the P-value is less than 0.05 so that the hypotheses 1, 3-7 are valid. Intelligent library intelligence-related variables have a positive effect on user satisfaction improvement.

A Model Study of Strategies for Optimizing the Educational Environment and Enhancing Student Engagement in Civics and Political Science Courses

Abstract This paper briefly outlines the direction of optimization of the civic education environment, proposes a civic education resource sharing model and an incentive model for educational resource sharing using the resource sharing approach, defines the main body of resource sharing, and establishes a model of the incentive system with students as the main body. Analyze the symbolic meaning of the model and propose the assumption of an educational resource incentive. Combine the revenue maximization function, participation constraints, and incentive constraints to form the incentive model. Using the decision tree algorithm of data mining technology for student participation behavior mining, we get the overall participation average score of undergraduate group cooperative learning, which is 3.576, the overall level of involvement is moderately high. The grade level trend of undergraduate group cooperative learning participation is freshman>fourth year>three years>sophomore years. Combined with the simulation results of the incentive model to analyze the role of the incentive model on the behavioral input of student engagement, the standard error of regression of the teaching incentive of the educational environment of the Civics class on student engagement behavior is 0.473, and the overall mean of the teaching incentive perceived by the students is 3.77, which indicates that the incentive strategy implemented in the educational environment of the Civics class is more satisfactory to the students.

Modelagem integrada de qualidade e quantidade para gestão de recursos hídricos: estudo de caso na Bacia do Alto Paranapanema

ABSTRACT This study introduces an integrated model for water resources planning and management that accounts for both the quantity and quality of water in watersheds and reservoirs. Therefore, it provides a comprehensive approach for better understanding and assessing water systems. The model facilitates analyses of the spatial and temporal dynamics of hydrological processes, pollutant transport, and the behavior of rivers and reservoirs. The study evaluated pollutant load transport in the Upper Paranapanema Basin by applying the Soil Moisture Accounting Procedure (SMAP) model, Muskingum method, Streeter-Phelps buildup/washoff model, and zero-dimensional (0D) models to estimate inflows to the Jurumirim reservoir. A Python-based public library was developed to model all hydrological processes. The model calibration yielded a NSE, KGE, PBIAS and RMSE result of 0.746, 0.778, 6.5% and 73.3 m 3 s − 1, respectively. Indicating a robust simulation that attests to the versatility and reliability of the proposed approach. The methodology outlined in this research enables comprehensive water quality simulation at basin scale, thereby serving as a tool for understanding water quantity and quality dynamics and support decision-making regarding water resource planning and management.

О прочности и развитии экономики России в 2024–2030 гг.

The article discusses the main aspects of strengthening the strength of the Russian economy and the factors influencing its development. The sources of federal budget revenues (oil and gas and non-oil and gas revenues), reserves for increasing the safety margin of the economy, including the tax reform in 2024, the growth of investment demand, and the development of the financial market are analyzed. Trends in improving the model of labor resources, staff shortages, and the labor market are predicted. The probability of expanding the scope of the “wage revolution” and reducing the role of cheap labor is considered. The validity of the new strategy of scientific and technological development in strengthening the strength of the Russian economy is substantiated.

Research on the Optimization of English Teaching Content in Colleges and Universities by Combining Decision Tree and Big Data Technology

Abstract English teaching in colleges and universities is facing the growth of personalized teaching demand, and the traditional education model is challenging to meet the diverse learning needs of students. Big data and decision tree technology provide a new way for teaching content optimization, which can achieve a high degree of matching between educational resources and students’ needs, and improve teaching effectiveness and learning efficiency. This study explores the application of decision trees and big data technology in optimizing English teaching content in colleges and universities. By constructing an ontology tree model of learning resources and adopting similarity calculation and personalized recommendation algorithms, the study achieves personalized learning resource recommendations for students. The study utilizes comparative experimental methods to analyze achievement changes between the experimental and control classes after customized learning. The personalized teaching program’s effectiveness can be confirmed by the fact that the average final grade of students in the experimental class is 1.5 points higher than that of the control class. The Analysis of CET-4 scores found that personalized teaching improved students’ English listening, reading, and writing skills. This paper combines decision trees and big data technology to optimize teaching content, effectively enhancing students’ English learning outcomes and providing new teaching strategies for English education in colleges and universities.

When genetics and pediatric cancer collide: Understanding and optimizing families' experiences.

Advances in our understanding of the genetic basis of childhood cancer, including primary central nervous system cancers, are improving the diagnosis, treatment, and clinical management of pediatric patients. To effectively translate scientific breakthroughs into enhanced clinical care, it is essential we understand and learn from the experiences of patients, families, and health professionals. This report summarizes findings from 4 Australian psychosocial substudies exploring the perspectives of patients, parents, clinicians, and scientists participating in research related to childhood cancer genetics. Specifically, these studies focus on the psychosocial impact of germline testing in children, surveillance for children with a cancer predisposition syndrome and the perspectives of healthcare professionals who deliver this testing and surveillance. Data presented highlight some of the opportunities and challenges associated with the changing context of genetic predisposition testing for children, adolescentsand yound adults with cancer and illustrate how embedding psychosocial data collection in clinical research can answer important questions in the field and inform the design of patient-centric models of care, resources, and workforce training. By embracing these perspectives, we can ensure that advances in genetic research translate into enhanced family experiences, and, ultimately, improved outcomes for children and young people with cancer, and their families.

Assessment of regional water resource carrying capacity by the connection number of set pair analysis

In order to evaluate regional water resource carrying capacity, the subtraction set pair analysis is adopted to calculate the connection number, and an evaluation model of the regional water resource carrying capacity based on quadratic subtraction set pair potential is established. The model is applied to assess the water resource carrying capacity of 16 cities in Anhui province, China, 2015. The results show that the water resource carrying capacity was sever throughout the province in 2015. Specifically, the carrying capacity in southern part of An-hui province was better than that in the northern part. The main factor of water resource carrying status varied in different cities.

Integrating BIM to Enhance Stakeholder Collaboration and Economic Efficiency in Architecture and Construction Projects

Building Information Modeling (BIM) has significantly influenced the involvement of stakeholders and economic value in the architecture, engineering, and construction (AEC) domain. This study investigates BIM’s impact on communication, cost savings, budget adherence, error reduction, and project timelines through a qualitative case study of three major projects in China: Shanghai Tower, Shanghai Disneyland Resort, and Beijing Daxing International Airport. The study shows that BIM helps in improving stakeholder communication and coordination due to centralization of data and real-time updates hence; eliminating potential misunderstandings. In economic terms, aspects such as precise modeling and control of resources leads to considerable reduction of costs hence avoiding project blowouts while improving sustainability. Also, BIM enhances project delivery efficiency in pre-construction phasing, decimating its time consumption, and lessening decision-making delays. The paper demonstrates the theoretical basis of BIM using Systems Theory and Information Theory and shows that BIM aims at establishing an integrated, information-driven workflow. Despite the threats including high initial costs and resistance to change, the research establishes that BIM has a significant positive impact in improving efficiency, cutting costs and encouraging sustainability. It is suggested that resources should be devoted to staff development, increase consistency in BIM practices, and incorporate new technology to fully leverage BIM regardless of project size and complexity. It is crucial for future studies to increase the sample number and study the positive effects of BIM on the sustainability of constructions.

Development of a Career Path Planning Model for Essential and Key Human Resources (Case Study: Saipa Automotive Group Companies)

Objective: The importance of career path planning in organizations has increased and has been recognized across various domains. The aim of this research was to present a model for professional career path planning for essential and key human resources. Methodology: The methodology of this research was quantitative-qualitative, employing a survey approach with a practical orientation. The study population consisted of managers and employees of Saipa automotive group companies. The data collected through questionnaires were analyzed using descriptive statistics for demographic characteristics and inferential statistics (single-sample t-test, paired t-test, confirmatory factor analysis, and structural equation modeling) in SPSS and LISREL software. The current status of the study population was evaluated using a one-sample t-test, and the significance of each indicator across the five dimensions was examined. Findings: The results showed that individual needs, job rotation, job characteristics, job promotion, and organizational needs are of high importance in the current situation, respectively. Additionally, the results of the second-order factor analysis indicated that the dimensions of career path planning in terms of importance according to respondents are: 1- Job rotation with a factor load of 0.94, 2- Individual needs with a factor load of 0.91, 3- Job characteristics with a factor load of 0.90, 4- Job promotion with a factor load of 0.89, and 5- Organizational needs with a factor load of 0.85. Conclusion: It can be concluded that job rotation and the needs of organization employees in professional career path planning are of significant importance, which warrants special attention.

Geochemical characterization and paleo-burial history modelling of unconventional resources: A case study from the Kimmeridge Clay Formation (KCF) in the UK North Sea

For several decades the UK North Sea has been a prolific oil and gas province, with numerous conventional oil and gas discoveries sourced predominantly by the Upper Jurassic to Lower Cretaceous Kimmeridge Clay Formation (KCF). In this study, we have combined the analysis of total organic carbon/pyrolysis and vitrinite reflectance geochemical data from KCF samples with 1D basin modelling to investigate the potential for shale oil and gas plays in the Outer Moray Firth region. The results of geochemical evaluation show that most of the samples have very good to excellent hydrocarbon generation potential and contain predominantly oil-prone Type-II kerogen. A few samples show a significant oil saturation index above 100 mgHC/gTOC, which indicate a good potential for producible shale oil. The modelling results suggest that vitrinite reflectance values for the KCF vary mainly between 0.51 and 1.15%Ro, with kerogen transformation of up to 86 %. This is indicative of early-oil to late-oil/early-gas maturity window at present day, and within the range reported for proven shale oil plays. The KCF shows good oil saturation in most of the modelled well locations of up to 6.4 mg/g rock, indicating potentially producible shale oil. Predictions from modelling support the interpretations from geochemical data.

Research on Public Sector Information Resource Management Innovation in the Age of Digital Economy

Abstract As strategic resources, public sector information resources are increasingly in demand in the information society in the era of the digital economy, and their configuration and management have gradually become a hot topic of concern for the government and society. To enhance the management efficiency and information-sharing ability of public sector information resources, a public sector information resource management system is established with the support of information technology. A public sector information resource data encryption transmission scheme is created through the combination of cloud platform technology for integrated management of information resources and a key encapsulation mechanism. The public sector information resource sharing scheduling model is designed with the optimization objective of maximizing the utilization of information resources, and the fireworks optimization algorithm is used to optimize its fitness value function to obtain the optimal information resource sharing scheduling strategy. When the encrypted transmission of public sector information resources is carried out, the probability of information leakage is only 1.28%, and the information protection efficiency is up to 7.88%. The throughput of the sharing model for information resources can be up to 533.78MB, and the communication overhead for sharing information resources is less than 20%. The establishment of a public sector information resource management system based on information technology effectively enhances the management efficiency of information resources in the public sector and promotes the efficient sharing of information resources.