Traditional Management Model Research Articles

LIDERANÇA EM TRANSFORMAÇÃO: DO MODELO TRADICIONAL Á GESTÃO DO FUTURO

This research explores the improvement of leadership management models, analyzing the transition from traditional leadership to future-oriented management. The study aims to understand how changes in leadership styles and organizational structures influence corporate performance and behavior, as well as to examine the transitions experienced by companies over the years. Grounded in a bibliographic review of individual characteristics, such as hierarchical rigidity and centralized control in traditional management models, the analysis contrasts these with new trends focused on versatility and technological innovation. The results demonstrate the benefits and challenges of each approach, highlighting the importance of transitioning to a more flexible and collaborative model, which is essential to meet demands and remain solid in the contemporary market. It is concluded that successful leadership management requires balancing efficiency and innovation, promoting organizational success in future markets.

STRUCTURE OF THE ORGANIZATIONAL STRUCTURE OF THE ENTERPRISE ACCORDING TO A PROCESS-ORIENTED APPROACH IN THE CONDITIONS OF DIGITALIZATION

The article examines the features of choosing and building modern organizational structures of enterprise management. On the basis of the systematization of modern concepts of the formation of types of organizational structures of enterprise management, the most acceptable structures according to the process-oriented models of enterprise development and the influence on the choice of digitalization of the main activity processes were selected. It was established that the formation of organizational management structures should be considered through the prism of horizontal (flat), vertical and flexible hierarchies. Trends in the use of information and communication technologies at enterprises have been studied regarding the possibilities of digitalization and its impact on economic development. The degree of access of domestic enterprises to the Internet and the use of fixed access to it, as well as the share of employed workers who have access to the Internet of hired specialists for whom information and communication technologies are the main job, are analyzed. The peculiarities of the flat hierarchy are considered and its main characteristics are highlighted. In Ukraine, the openness of information about the company’s activities is quite limited for employees, and therefore the introduction of holacracy, which is acceptable for small and medium-sized enterprises in the service sector, is promising in the future. It was established that the vertical hierarchy in the organizational structure of enterprise management is a typical and traditional model of management, the advantages and disadvantages of the structure were determined. The concentration of power in the owner is one of the main characteristics of a vertical management structure, so owners usually choose this type of enterprise management structure. The characteristics of the vertical hierarchy are highlighted. A flexible hierarchy positioned as an adaptive structure, characterized by greater flexibility in the interaction between different levels of management, is singled out as a modern organizational structure. The main types of adaptive organizational management structures are matrix, project, program-target and coordination. The peculiarities of the types of organizational structures of enterprise management according to the process-oriented approach are compared and a number of characteristics of the positive influence of digitalization on their choice are highlighted. Demonstrably positive results of the impact of digitalization on the horizontal, vertical and flexible organizational structure of enterprise management. The shortcomings of flat, vertical and flexible hierarchies were studied and it was proved that in order to ensure the dynamic and progressive development of business entities, it is expedient to combine elements of different structures.

The Problems and Solutions of Enterprise Financial Management in the Perspective of Digital Economy

From the perspective of the digital economy, enterprise financial management is facing unprecedented challenges and opportunities. Traditional financial management models are no longer suited to current development needs. Fine-tuning financial management is essential to support the modernization of enterprises, guard against operational risks, and promote coordination across the entire value chain for greater economic efficiency. With the help of digital technology, data-driven, highly interconnected, and intelligent decision-making processes are becoming more prominent, profoundly transforming the operational and financial management models of enterprises. This enables financial management to keep pace with modern developments. In light of this, the paper explores the connotations and mechanisms of the digital economy and enterprise financial management, clarifies relevant conceptual characteristics, and identifies problems in financial management under the digital economy. It also offers strategies for optimization and problem-solving, with the aim of providing valuable insights for educators and practitioners.

Research on Procurement Cost Control Based on Supply Chain Management

In modern enterprise management, strengthening the control and management of procurement processes can effectively reduce operational costs. However, with the continuous reform and improvement of China’s market economy system, competition among supply chain enterprises has intensified. The traditional procurement management model is no longer able to meet the needs of enterprise development in the current era. As a result, procurement management based on supply chain management has emerged, offering significant improvements in the scientific management of procurement processes. It has become an important means of promoting the long-term development of enterprises. This paper primarily analyzes and studies procurement cost control based on supply chain management, providing insights for reference.

Research and Exploration of the Interdepartmental Collaboration Mechanism in Urban Public Safety Management

With the acceleration of urbanization, urban public safety management faces increasingly complex challenges. The traditional single-department management model can no longer effectively address emergencies and diverse security issues. Interdepartmental collaboration mechanisms have become a key factor in enhancing the effectiveness of public safety management. By integrating resources, optimizing decision-making, and improving emergency response capabilities, interdepartmental collaboration helps form a comprehensive and systematic safety governance model. This paper examines the current status, problems, and challenges of interdepartmental collaboration in urban public safety management. It analyzes the difficulties in organizational coordination, information sharing, and data integration, and proposes pathways and strategies for optimizing collaboration mechanisms. The research shows that optimizing the division of responsibilities among departments, establishing a unified information platform, and strengthening data security and privacy protection are key to enhancing the effectiveness of interdepartmental collaboration. In the future, with the development of information technology, interdepartmental collaboration mechanisms will become more intelligent and efficient, providing strong support for addressing complex urban safety risks.

A Study of the Current Status of Business-Finance Integration in Manufacturing Companies

With the intensification of competition in the industry, it is difficult for enterprises to further improve their core competitiveness by relying only on the traditional financial management model, so it is essential to change the traditional approach and realize business-finance integration and the high degree of information integration through integrating the business and finance. Because the implementation of business-finance integration, not only can optimize the financial work, strengthen the high quality of business activities, but also promote the improvement of the level of business management. This paper analyzes the characteristics of business-finance integration and the requirements for the enterprise. It also studies the current situation of business-finance integration of manufacturing enterprises, and by selecting three representative enterprises to be analyzed, it describes the problems and challenges in the process of their business-finance integration and puts forward corresponding solutions. According to the analysis of the above cases, on the one hand, it can promote the understanding of the current situation of the integration of business and finance in manufacturing enterprises, and on the other hand, it hopes that it can provide references for related enterprises.

Cryptocurrency Portfolio Allocation under Credibilistic CVaR Criterion and Practical Constraints

The cryptocurrency market offers attractive but risky investment opportunities, characterized by rapid growth, extreme volatility, and uncertainty. Traditional risk management models, which rely on probabilistic assumptions and historical data, often fail to capture the market’s unique dynamics and unpredictability. In response to these challenges, this paper introduces a novel portfolio optimization model tailored for the cryptocurrency market, leveraging a credibilistic CVaR framework. CVaR was chosen as the primary risk measure because it is a downside risk measure that focuses on extreme losses, making it particularly effective in managing the heightened risk of significant downturns in volatile markets like cryptocurrencies. The model employs credibility theory and trapezoidal fuzzy variables to more accurately capture the high levels of uncertainty and volatility that characterize digital assets. Unlike traditional probabilistic approaches, this model provides a more adaptive and precise risk management strategy. The proposed approach also incorporates practical constraints, including cardinality and floor and ceiling constraints, ensuring that the portfolio remains diversified, balanced, and aligned with real-world considerations such as transaction costs and regulatory requirements. Empirical analysis demonstrates the model’s effectiveness in constructing well-diversified portfolios that balance risk and return, offering significant advantages for investors in the rapidly evolving cryptocurrency market. This research contributes to the field of investment management by advancing the application of sophisticated portfolio optimization techniques to digital assets, providing a robust framework for managing risk in an increasingly complex financial landscape.

Study on the modularization of project operations under the “oil company” model

Abstract A rational and efficient business management and operation model is a prerequisite for the smooth operation of an organization. This study aims to build an intensive and efficient business management model with the characteristics of the “oil company” model. Compared with the traditional business management model, the “oil company” model has significant advantages in terms of organizational structure, communication efficiency, work style and work efficiency, etc. Due to the compression of management levels and the shortening of business chains, the communication efficiency and work efficiency are higher, and the composition of personnel and work style are more flexible. Therefore, based on the theory of the “oil company” and on the idea of compressing management levels and shortening management chains, business management departments should be integrated, streamlined and optimized, and business chains should be sorted out.

Research on the Innovation Path of Enterprise Management Mode in the Era of Big Data

With the continuous development of the market economy and the advent of the big data era, traditional management models cannot meet the requirements for enterprise development, which poses certain obstacles to business growth. Therefore, enterprises must continuously leverage the commercial value embedded in the big data era to innovate their management models. In practical terms, internal managers and relevant personnel can innovate based on traditional management models, fully utilizing the advantages of big data to optimize and innovate enterprise management models. By utilizing information technology for extensive data analysis and integration, businesses can be guided in the right direction, provided with reasonable operational plans, and ensured safe decision-making, thereby achieving healthy and sustainable development. This approach enables enterprise management to keep pace with the progress of the times and enhances the role of management in business operations.

Design and Optimization of Tourism Information Management System Based on Artificial Intelligence

This study aims to implement a tourism information management system based on the concept of Smart Tourism. As the people's living conditions have improved, the traditional model of tourism management failed to match the customers' demands, because it has some flaws such as low efficiency. Integrating AI with tourism management helps to meet clients' needs with smarter and more comfortable accommodations before, during, and after their trip. This study optimizes the artificial neural network (ANN) by utilizing long short-term memory (LSTM) to address its inherent faults, such as delayed convergence, easy oscillation, and falling into local minima. The experimental findings demonstrate that this algorithm achieves a recall rate of 99.6% and a prediction accuracy of 98.2%. This algorithm offers some useful recommendations for tourist management while avoiding the pitfalls of more conventional algorithms. In addition, this study extends the idea of "smart tourism" to particular forms of tourist informatization, which has the potential to boost the tourism industry's overall development level by facilitating structural upgrades and transformations.

The Impact of Quantum Computing on Financial Risk Management: A Business Perspective

The rapid advancement of quantum computing is poised to revolutionize industries, particularly in areas requiring complex computational power. This paper explores the potential impact of quantum computing on financial risk management from a business perspective. Traditional risk management models struggle to cope with the increasing complexity of global financial systems, making quantum computing a promising solution. By leveraging quantum algorithms, financial institutions can optimize risk assessment, enhance portfolio management, and significantly improve predictive models. This paper examines key algorithms and their applications in finance, discusses the challenges and opportunities in adopting quantum solutions, and presents case studies of early adopters. The findings suggest that quantum computing can offer a competitive advantage to businesses by providing superior risk analysis capabilities. However, limitations in technology, infrastructure, and expertise remain significant hurdles. This study contributes to the growing discourse on quantum computing by providing actionable insights for businesses looking to integrate quantum solutions into their risk management strategies.

Ethnobotanical Surveys of Plants Used by Quilombola Communities in Brazil: A Scoping Review.

Quilombola communities play a crucial role in maintaining biodiversity through traditional management models. The use of medicinal plants within these communities reflects a deep reservoir of knowledge, passed down through generations. The objective of this study was to conduct a scoping review to systematically analyze and synthesize the existing literature on the medicinal plants used by Quilombola communities in Brazil, with a focus on their therapeutic applications and cultural significance. The Population, Concept, and Context (PCC) strategy was utilized, where the population refers to the Quilombolas, the concept pertains to medicinal plants, and the context involves illness. A total of 888 studies were initially identified, but only 10 met the inclusion criteria, covering 297 plant species from 80 different families. These plants are employed in a wide range of therapeutic applications, with decoction, alcohol maceration, and infusion being the most common methods of preparation. The study highlights the rich ethnopharmacological knowledge held by Quilombola communities and underscores the need for greater recognition and integration of this traditional knowledge into public health practices. The conclusion emphasizes the importance of preserving and validating the use of medicinal plants by these communities, which could serve as a foundation for future pharmacological discoveries and the development of culturally appropriate health interventions.

METHOD TO DEVELOP HYBRID MANAGEMENT MODELS FOR R&D PROJECTS BY USING A MORPHOLOGICAL ANALYSIS MATRIX

Management professionals are increasingly adopting hybrid implementation models for applicative R&D projects, specific to dynamic environments, for rapidly adapting to various challenges. In this paper, being aware of the inadequacy of traditional management models in today's volatile and innovative socio-economic landscape, we made somehow a literature review and we adapted a method that, based on the use of a morphological analysis matrix, allowed us to prepare, by implementing in the first phase a focus-group pilot, the elaboration of personalized hybrid models, targeting mainly, as an original approach, research – development - innovation (RDI) projects. In the future, we intend to validate the method, through a case study evaluation, aiming to provide professionals with appropriate managerial solutions by developing a guide for selecting the best practices and adopting high-performing hybrid management models.

Striking a Balance: Evaluating Credit Risk with Traditional and Machine Learning Models

This research assesses machine learning models' validity, clarity, and equity, compared to classical models and especially logistic regression in credit risk evaluation. In the traditional model of data management, efficiency and the accuracy of information are challenges; an issue of machine learning models is model selection and multicollinearity. The study intends to help financial institutions establish the best strategy for their needs. Furthermore, it delves into the effect of heterogeneous data sources on the credit risk model using machine learning. The research analyses the implications of using machine learning in assessing credit risk. Interestingly, focusing on peer-to-peer lending platforms, the research aims to deal with the need for more attention to combining machine learning and traditional models in the literature. The deductive method is the application of inferential analyses, the Traditional model is logistic regression, and the Machine Learning model is a neural network (CNN model) based on secondary data from the Kaggle peer-to-peer lending dataset. With likely findings expected to comprise prediction of the probability of default and better availability of loans, risk analysis leads to formulated lending decisions managing a financial portfolio.

The Dilemmas and Practical Exploration of Undergraduate Education Management in Universities in the Era of Big Data

In the context of rapid information development, massive data provides important support for society’s technological development and innovation. The management of undergraduate education in universities involves various industries, and the traditional education management model is no longer suitable for the needs of management departments and educational institutions. Therefore, universities should combine the characteristics of education management majors and continuously promote the high-quality development of education management in the context of big data. However, from the current situation, there are still many shortcomings in managing undergraduate education in universities. In this regard, this article will start with the current difficulties in undergraduate education management, analyze and explore the practical path of undergraduate education management in universities in the era of big data to provide effective suggestions for developing universities.

Research and application of tourism management in the IoT industry under the background of sustainable blockchain

In the contemporary era, there is a heightened awareness of the significance of a spiritual life, and travel is a popular choice for many. The Internet is driving rapid diversification in people's travel choices. At the same time, the traditional tourism industry's Tourism Management (TM) model, which has been in place for decades, is no longer able to satisfy people's diversified choices for tourism. This is due to a number of factors, including the trust crisis caused by asymmetric information, the outdated nature of the TM model, and the insecure personal information that is shared between intermediaries. This paper discusses the application of sustainable blockchain technology in tourism management and sets up a tourism management system based on blockchain and the Internet of Things. It takes 20 scenic spots as examples to study the application of the TM model. This paper evaluates the TM model from four key aspects: tourist satisfaction, tourism infrastructure completeness, tourism consumption level and tourism service content richness. It compares the results with those of the traditional TM system. The experimental results are clear: tourist satisfaction at scenic spots 5, 10 and 15 in the sustainable blockchain TM mode is 68 %, 87 % and 71 % respectively, which is higher than that in the traditional TM mode. In the context of sustainable blockchain, the TM mode is the optimal approach for serving tourists and enhancing their travel experience. This study also assists Chinese tourism business operators in recognizing the potential impact of blockchain technology on the development of the tourism industry. They can then formulate strategies at an early stage to cope with the information technology changes in the era of the digital economy.

Laying train tracks en route: How institutional education leaders navigate complexity during mandated curriculum change.

Institutional education leaders serve key roles in leading major curricular change within residency education, yet little is known about how they accomplish these goals on the ground. Change management principles have predominantly been developed and described in the hierarchical context of management science and corporate settings. However, the non-hierarchical, complex and adaptive features of health professions education may render these traditional change management models inadequate. We explored how institutional educational leaders navigate the complex residency education system in implementing a major curricular change. Using constructivist grounded theory, we conducted and iteratively analysed semi-structured interviews with 11 institutional education leaders from across Canada who were responsible for leading the nationally mandated curricular change to competency-based residency education. Thematic analysis was performed iteratively using constant comparison. Leaders managing the change process focused on two priorities: steering the direction of the change process as it evolved and maintaining the momentum amongst stakeholders to move forward steadily. Four common threats and opportunities impacted the focus on direction and momentum: multiplicity of contexts, innovation, resistance and distractions. In response, leaders utilised various tactics and harnessed diverse leadership styles to manage these challenges accordingly. We identified a change framework that offers a more contextually nuanced understanding of curricular change in residency education that has not been described in the change management literature generated by the management sector. Institutional education leaders focused on maintaining the direction and momentum, while constantly assessing and adapting to evolving, uncertain and complex conditions. Our findings provide a simple and practical foundation to support leadership education in curricular change as well as researchers in developing further change theories in complex adaptive health professions education systems.

METHOD TO DEVELOP HYBRID MANAGEMENT MODELS FOR R&D PROJECTS BY USING A MORPHOLOGICAL ANALYSIS MATRIX

Management professionals are increasingly adopting hybrid implementation models for applicative R&D projects, specific to dynamic environments, for rapidly adapting to various challenges. In this paper, being aware of the inadequacy of traditional management models in today's volatile and innovative socio-economic landscape, we made somehow a literature review and we adapted a method that, based on the use of a morphological analysis matrix, allowed us to prepare, by implementing in the first phase a focus-group pilot, the elaboration of personalized hybrid models, targeting mainly, as an original approach, research – development - innovation (RDI) projects. In the future, we intend to validate the method, through a case study evaluation, aiming to provide professionals with appropriate managerial solutions by developing a guide for selecting the best practices and adopting high-performing hybrid management models.

РИЗИКИ В УПРАВЛІННІ ПЕРСОНАЛОМ ПІДПРИЄМСТВА

The purpose of the work is to identify the essence of personnel management risk, with a focus on its components and their impact on enterprise development goals. Risk arises from conducting business in conditions of uncertainty. It has been established that risks in personnel management are difficult to identify and assess, as they are associated with human resources, which are based on personal essence. Hence, two problems arise. Firstly, risk increases the complexity of evaluating the consequences of decisions made. Secondly, risk in personnel management at the conceptual level affects potential effectiveness. Therefore, it is more appropriate to use the term "uncertainty" in personnel management instead of the concept of risk. A person making decisions regarding human resource management in conditions of wartime economy deals with uncertainty, not risk. It is proven that uncertainty and risk are functions of such factors as the quantity and quality of information available to management personnel, and the variability of conditions for implementing personnel decisions. Two main approaches to defining the determinants of decision-making success by managers are distinguished. The first relates to factors influencing task execution, and the second to personal factors. It is argued that in the field of human resource management, the level of risk depends on the subjective perception of risk by personnel. Considering the attitude toward risk of the decision-maker, three main types of behavior are identified: risk-prone, risk-averse, and risk-neutral. Identifying the purpose of personnel activity is related to the formation of enterprise development strategy and the development of prospective human resource management plans. The purpose directs the will of the employee and determines the future outcome. Personal (individual) goals are defined in the form of a postulate or model. The purpose of HR activity based on both traditional and modern human resource management models is identified. Managers in conditions of wartime economy make decisions based on external data over which they have limited control. Therefore, their attention should be focused on an environment unfavorable for making personnel decisions.

Societal interaction plans—A tool for enhancing societal engagement of strategic research in Finland

Abstract In this paper we investigate the practices and capacities that define successful societal interaction of research groups with stakeholders in mutually beneficial processes. We studied the Finnish Strategic Research Council’s (SRC) first funded projects through a dynamic governance lens. The aim of the paper is to explore how the societal interaction was designed and commenced at the onset of the projects in order to understand the logic through which the consortia expected broad impacts to occur. The Finnish SRC introduced a societal interaction plan (SIP) approach, which requires research consortia to consider societal interaction alongside research activities in a way that exceeds conventional research plans. Hence, the first SRC projects’ SIPs and the implemented activities and working logics discussed in the interviews provide a window into exploring how active societal interaction reflects the call for dynamic, sustainable practices and new capabilities to better link research to societal development. We found that the capacities of dynamic governance were implemented by integrating societal interaction into research, in particular through a ‘drizzling’ approach. In these emerging practices SIP designs function as platforms for the formation of communities of experts, rather than traditional project management models or mere communication tools. The research groups utilized the benefits of pooling academic knowledge and skills with other types of expertise for mutual gain. They embraced the limits of expertise and reached out to societal partners to truly broker knowledge, and exchange and develop capacities and perspectives to solve grand societal challenges.