scholarly journals FORECAST OF USING NEURAL NETWORKS IN THE TOURISM SECTOR

2017 ◽  
Vol 5 ◽  
pp. 218-223
Author(s):  
Miroslav Karahuta ◽  
Peter Gallo ◽  
Daniela Matušíková ◽  
Anna Ĺ enková ◽  
Kristína Šambronská
Keyword(s):  
Neural Networks ◽  
Point Of View ◽  
Management Decision ◽  
Hotel Management ◽  
Financial Health ◽  
Tourism Sector ◽  
Depth Analysis ◽  
Scientific Principles ◽  
Management Decision Making ◽  
High Level

The paper addresses the issue of management decision-making using artificial neural networks and their application in hotel management. Today, the development of tourism is of great importance and plays a very important role in the development of national economy. Balanced ranking and prediction model using financial and non-financial indicators with the application of artificial intelligence, allows us to reach a high level of effectivity and accuracy in evaluation of the financial and non-financial health of companies operating in this segment. This approach improves the manager’s ability to understand complex contexts and make better decisions for further development. It also brings new managerial and scientific point of view of an in-depth analysis of the performance of these facilities. It can help the development of tourism in terms of the application of modern management techniques built on scientific principles and thereby better integrate science and practice.

Towards a manager's model for e-business strategy decisions

2005 ◽  
Vol 30 (4) ◽  
pp. 73-90 ◽  
Author(s):  
Bruce Perrott
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Business Community ◽  
Management Decision ◽  
Electronic Business ◽  
Business Networks ◽  
Evolutionary Path ◽  
Efficiency And Effectiveness ◽  
Management Decision Making ◽  
High Level

There is a high level of interest and debate among academics and the business community regarding the future of electronic business. In recent times there has been considerable disillusionment with the losses and negative returns associated with many e-business investments. However, the move towards e-business enablement seems inevitable for reasons of efficiency and effectiveness. Developments in e-business should be of considerable interest to marketing strategists, as they impact on business networks and affect the nature of relationships between organisations and between an organisation and its customers. Business and marketing strategists would benefit from a better understanding of the incentives and inhibitors accruing at each stage of the evolutionary path to an e-business enabled future. Based on recent research, this paper proposes the use of two frameworks that may be used to stimulate management discussion, aid management decision-making and plan progressive moves into e-business.

scholarly journals METHODOLOGY FOR ANALYSIS OF THE FINANCIAL CONDITION OF AGRICULTURAL ENTERPRISES AND WAYS OF ITS ENHANCEMENT

2021 ◽  
Vol 2 (3) ◽  
pp. 104-117
Author(s):  
Olena Tomchuk
Keyword(s):  
Management Practice ◽  
Management Decision ◽  
Mathematical Methods ◽  
Agricultural Enterprises ◽  
Financial Condition ◽  
Study Results ◽  
Management Decision Making ◽  
Theoretical Generalization ◽  
High Level ◽  
The Impact

The purpose of the article is to form the main directions of improving the financial condition of the business entity in modern conditions. Methodology. Methods of theoretical generalization and concretization, Internet resources have been used in this study. Results. Groups of users of information concerning the financial condition of the enterprise are selected. The first group includes creditors, investors, competitors, regulators, and other users, and the second – the company's management, economic and other interested internal services, shareholders, etc. For each of these users, certain selected metrics are important. A technique for determining the significance of indicators for a particular group of users, which involves the use of economic and mathematical methods and models, is developed. In order to make certain management decisions, the analysis should be carried out according to the indicators required by the management and, accordingly, will be implemented in the management practice of Khmilnytske LLC. The sequence of assessment of the financial condition by economic and mathematical methods is determined. Having chosen the direction of research of indicators and having carried out their corresponding calculations, it is possible to carry out the analysis of factors of influence on the financial position of the investigated business entity and to calculate reserves of its improvement. To do this, it is advisable to use the procedures of correlation and regression analysis. The content of these procedures is to determine the impact on the financial condition of each of the elements of the formulas of coefficients or other indicators. A set of factors influencing the formation of economic strategy of agricultural enterprises is divided into two groups, namely exogenous and endogenous. The leading system ensuring the enterprise solvency has been developed. Software for the financial condition analysis at the enterprise is proved. Practical implications. The developed system takes into account the available initial data (financial statements and software) and significantly reduces the cost of working time for analysis, which speeds up the management decision-making process and allows you to respond quickly to changes in asset structure to improve efficiency and improve business subject efficiency. Value/originality. The developed model of the analysis of a financial condition with the use of economic and mathematical methods which is sufficiently adapted for automation will provide, provided its introduction in analytical practice, a high level of optimality of operative administrative decisions, and also will increase the efficiency of agricultural enterprises.

scholarly journals НАУКОВО-МЕТОДИЧНИЙ ПІДХІД ЩОДО ВИЗНАЧЕННЯ СТРАТЕГІЇ АДАПТАЦІЇ МАРКЕТИНГУ В УПРАВЛІННІ КЛАСТЕРНИМ РОЗВИТКОМ ТУРИСТИЧНО-РЕКРЕАЦІЙНОГО ПІДПРИЄМНИЦТВА

2021 ◽  
Vol 153 (6) ◽  
pp. 89-95
Author(s):  
Олена Д. Гуліна
Keyword(s):  
Development Strategy ◽  
Action Plan ◽  
Development Planning ◽  
Management Decision ◽  
Special Focus ◽  
Management Support ◽  
Cluster Approach ◽  
Management Decision Making ◽  
High Level ◽  
Core Characteristics

This study argues that regional development of tourism and recreation industries is of critical significance to the interregional division of labor and participation in interdistrict exchange of products and services, only in the case of ensuring a competitive recreational product. The findings demonstrate that the specifics of a cluster development strategy application in tourism and recreation sectors in Ukraine is based on the premises that strategic planning and clustering paradigm relies upon forecasting and development planning of individual territories and businesses with a high level of tourism and recreation potential whereas a number of other region’s territories remain uninvolved in any regional projects or programs. Based on a cluster approach, the study offers a framework to enhance management support of the regional tourism and recreation businesses that will facilitate fair assessment of the current situation as well as ensure effective utilization of the resources needed for harmonious industry development. The implementation of the cluster approach in coordinating tourism and recreation business activities will contribute to creating a high-quality competitive product, thus imposing important social, economic and other implications for the region and the society. In addition, the study presents a well-grounded formalized model of building a management decision-making process in marketing-driven management of tourism and recreation entrepreneurship which allows identifying the target management function, with a special focus on the core characteristics of tourism and recreation business as well as on the priority alternatives to substantiate an effective marketing action plan to ensure social and economic performance.

Architectures and Algorithms for a Smart Drilling Robot

2019 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Erik A. Løken ◽  
Dan Sui ◽  
Tomasz Wiktorski
Keyword(s):  
Cost Effective ◽  
Laboratory Scale ◽  
Management Decision ◽  
Incident Management ◽  
Digital Architecture ◽  
Management Decision Making ◽  
Drilling Rigs ◽  
High Level ◽  
Technical Solutions ◽  
Management Capabilities

Abstract Robotic drilling is likely to become a key feature of the next generations of drilling rigs and novel drilling technical solutions. We have been developing a drilling robot on a laboratory scale to run different drilling scenarios and achieve high-level performances with less or even no human intervention. In this paper, we introduce its mechanical systems, perception capabilities, data management, decision-making algorithms, and digital architecture. Results illustrate its autonomous operations, incident management capabilities, learning outcomes, improvement potential, and challenges. Lab testing and evaluation is an essential part of implementing, promoting and accelerating robotic applications of drilling automation. Our drilling robot is a useful, safe and cost-effective solution for testing, integrating and improving hardware, software, data, and digital/robotic products in a laboratory scale, before expensive full-scale testing and integration.

Development of the Urban Environment Based on the Optimization of Management Decision-Making

2020 ◽  
Vol 26 (3) ◽  
pp. 322-327
Author(s):  
V. M. Medvedev
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Management Decision ◽  
Practical Implementation ◽  
Management Decisions ◽  
Environment Management ◽  
Management Decision Making ◽  
High Level

The presented study identifies approaches to decision-making aimed at the optimal development of the urban environment.Aim. The study aims to develop proposals for improving methodological approaches aimed at the development of the urban environment and for using these approaches in the preparation of the corresponding management decisions.Tasks. The author assesses the problem of urbanization and shows how it affects the need to modernize the urban environment; formulates the principles of optimization of management decision-making aimed at the development of the urban environment; evaluates the possibility of the practical implementation of these principles (through the example of the federal city of St. Petersburg).Methods. This study uses strategic analysis, systems and case-based approach, comparative and retrospective analysis.Results. The practical aspects of designing the processes and approaches to urban environment management are examined. The efficiency of management is shown to depend largely on the optimization of management decisions that could improve the effectiveness of individual services aimed at the formation and development of a modern urban environment in the long term. The study describes the successful experience of St. Petersburg in developing the complex of urban environment management services.Conclusions. Improving urban environment management is an important aspect of increasing the population’s quality of life. As evidenced by St. Petersburg’s experience, to achieve a high level of comfort in the urban environment it is necessary to actively use the principles of consistency, innovation, and public participation in decision-making. The author recommends normative consolidation of these principles and their more active practical application in the management of Russian cities.

scholarly journals Development of digital twins prototypes for management processes (on the example of a new product offer)

2020 ◽  
Vol 18 (2) ◽  
pp. 48-54
Author(s):  
Larisa A. Rodina
Keyword(s):  
New Product ◽  
Information Support ◽  
Management Decision ◽  
Empirical Observation ◽  
Standard Management ◽  
Management Processes ◽  
Model Control ◽  
Management Decision Making ◽  
Active Attention ◽  
High Level

The study of management modeling issues continues to be relevant for a number of reasons: the need to provide information certainty when making management decisions (risk management); visualization of management processes with the ability to compile and select optimal solutions; acceleration of the verification process of management algorithms. At the same time, active attention is paid, first of all, to technical, instrumental, and software aspects of modeling, automation and, ultimately, digitalization of management activities. Of course, such emphasis in research is justified due to the high level of technological complexity. However, the issues of description, formalization, and regulation of the modeled object deserve no less attention. Internal logic and the ability to formalize most products, processes, and systems are an objective prerequisite for creating their virtual model, which is not true of management activities. Thus, the aim of the research is to develop theoretical and practical aspects of management activities in the context of digital transformation. The key objectives of the study are: identification of typical stages of the control algorithm (e.g., the creation and launch of new product); and the formalization of the visualization model control processes by means of conditional algorithms; application and implementation of the tools of digitalization in an algorithmic chain. The following research methods are used: theoretical (analysis, modeling) and empirical (observation, evaluation of information sources). The main scientific result of the research are prototypes of digital duplicates of standard management processes. The field of application is the management of economic entities of various industry affiliations with the justification of information support for management decision – making in the conditions of digitalization.

scholarly journals Data-Driven Single Image Deraining: A Comprehensive Review and New Perspectives

2021 ◽  
Author(s):  
Zhao Zhang ◽  
Yanyan Wei ◽  
Haijun Zhang ◽  
Yi Yang ◽  
Shuicheng Yan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Network Architecture ◽  
Training Data ◽  
Data Driven ◽  
Future Research ◽  
Single Image ◽  
Comprehensive Review ◽  
Depth Analysis ◽  
Real Scenario ◽  
High Level

<div>Abstract—Due to the powerful fitting ability of neural networks and massive training data, data-driven Single Image Deraining (SID) methods have obtained significant performance, and most of the existing studies focus on improving the deraining performance by proposing different kinds of deraining networks. However, the generalization ability of current SID methods may still be limited in the real scenario, and the deraining results also cannot effectively improve the performance of subsequent high-level tasks (such as object detection). The main reason may be because the current works mainly focus on designing new deraining neural networks, while neglecting the interpretation of the solving process. To investigate these issues, we in this paper re-examine the three important factors (i.e.,data, rain model and network architecture) for the SID task, and specifically analyze them by proposing new and more reasonable criteria (i.e., general vs. specific, synthetical vs. mathematical, black-box vs. white-box). We will also study the relationship of the three factors from new perspectives of data, and reveal two different solving paradigms (explicit vs. implicit) for the SID task. Besides, we also profoundly studied one of the three factors, i.e., data, and measured the performance of current methods on different datasets via extensive experiments to reveal the effectiveness of SID data. Finally, with the above comprehensive review and in-depth analysis, we also draw some valuable conclusions and suggestions for future research.</div>

scholarly journals OPTIMAL ALTERNATIVE SELECTION MODELS IN A MULTI-STAGE DECISION-MAKING PROCESS

2019 ◽  
Vol 6 ◽  
pp. 43-50
Author(s):  
Oksana Mulesa ◽  
Vitaliy Snytyuk ◽  
Ivan Myronyuk
Keyword(s):  
Decision Making ◽  
Effective Alternative ◽  
Management Decision ◽  
Decision Making Process ◽  
Multi Stage ◽  
Decision Making Problem ◽  
Management Decision Making ◽  
The Face ◽  
Decision Making Models ◽  
High Level

Management decision-making tasks are usually characterized by a high level of uncertainty. When solving this class of problems, it is necessary to take into account the environmental conditions for the implementation of the decisions made and the consequences that may arise in this case. The decision-making task in the face of uncertainty can be represented in the form of a “game with nature”, in which the optimal player strategy is sought. A two-stage decision-making process is considered, in which at each stage the decision-making problem is solved in conditions of risk. The case is supposed in which, after making a decision at the first stage, choosing an effective alternative and the onset of a certain state of nature, it is necessary to solve the decision-making problem of the second stage. Decision-making models based on well-known decision models of the “game with nature” are proposed. The developed models allow in the process of choosing an effective alternative to the first stage to assess the possible consequences of such a choice, taking into account the expectations of the decision maker. In the course of experimental verification, it is shown that the developed decision-making models can be used to solve such multi-stage problems, the phased solution of which is incorrect. This may occur due to the fact that some of their stages are associated with certain losses, and others – with profit. In such situations, it is advisable to consider the problem as a whole and at each stage, take into account all available information as much as possible.

scholarly journals COMBINED EFFECTS OF THE LIVING ENVIRONMENT ON THE WELL-BEING OF THE CITY POPULATION

2021 ◽  
Vol 11 (3) ◽  
pp. 128-137
Author(s):  
Alexandra Alekseevna KORMINA
Keyword(s):  
Well Being ◽  
Living Environment ◽  
Management Decision ◽  
Residential Areas ◽  
City Population ◽  
Management Decision Making ◽  
High Level ◽  
The Impact ◽  
The City

The method of assessing the impact of factors of diff erent nature on the components of the city’s living environment that determine favorable living conditions and the well-being of the population is considered. It is statistically established that the variety of factors should be taken into account when assessing and normalizing the combination of multifactorial impacts on demographic and social processes occurring in the urban environment. Combinations of the most signifi cant interacting factors and statistical models based on them can be taken into account when predicting the level of morbidity, the dynamics of migration processes, the family well-being of the population, and others. The developed models and assessment methodology can serve as a tool to support management decision-making to ensure a high level of quality of life of the population and urban development of residential areas.

scholarly journals Data-Driven Single Image Deraining: A Comprehensive Review and New Perspectives

2021 ◽  
Author(s):  
Zhao Zhang ◽  
Yanyan Wei ◽  
Haijun Zhang ◽  
Yi Yang ◽  
Shuicheng Yan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Network Architecture ◽  
Training Data ◽  
Data Driven ◽  
Future Research ◽  
Single Image ◽  
Comprehensive Review ◽  
Depth Analysis ◽  
Real Scenario ◽  
High Level

<div>Abstract—Due to the powerful fitting ability of neural networks and massive training data, data-driven Single Image Deraining (SID) methods have obtained significant performance, and most of the existing studies focus on improving the deraining performance by proposing different kinds of deraining networks. However, the generalization ability of current SID methods may still be limited in the real scenario, and the deraining results also cannot effectively improve the performance of subsequent high-level tasks (such as object detection). The main reason may be because the current works mainly focus on designing new deraining neural networks, while neglecting the interpretation of the solving process. To investigate these issues, we in this paper re-examine the three important factors (i.e.,data, rain model and network architecture) for the SID task, and specifically analyze them by proposing new and more reasonable criteria (i.e., general vs. specific, synthetical vs. mathematical, black-box vs. white-box). We will also study the relationship of the three factors from new perspectives of data, and reveal two different solving paradigms (explicit vs. implicit) for the SID task. Besides, we also profoundly studied one of the three factors, i.e., data, and measured the performance of current methods on different datasets via extensive experiments to reveal the effectiveness of SID data. Finally, with the above comprehensive review and in-depth analysis, we also draw some valuable conclusions and suggestions for future research.</div>

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