THE RISK CLASSIFICATION OF REAL INVESTMENT IN THE INDUSTRY

10.12737/1609 ◽  
2013 ◽  
Vol 1 (4) ◽  
pp. 226-232
Author(s):  
Иван Галетов ◽  
Ivan Galetov ◽  
Нина Мкртумян ◽  
Nina Mkrtumyan

The article cites the classification of the risk of real investment, which will help facilitate the decision-making process.

ACC Journal ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 29-40
Author(s):  
Petra Kašparová

Growing pressure on increasing decision-making speed in all spheres of human life is one of the basic phenomena of today. Immediately after the first wave of the coronavirus pandemic, we can consider the ability of making good decisions quickly as one of the most important aspects of our being. The main objective of this article is to find out the utilization rate of several basic decision-making approaches in selected companies with an emphasis on newly used methods such as data analysis and business intelligence tools. The first part of the article presents a short introduction of the decision-making process and an overview of hitherto known and used tools facilitating the whole procedure. The submitted study of available literature leads to the presentation of own classification of the most widely used decisionmaking methods. Based on a questionnaire survey, in the second section, the pilot research examines the involvement of five different groups of methods in business decision-making, such as intuition and previous experiences, consultation with colleagues, data analysis (historical), MCDM methods and consultation with experts. Afterwards, the most common obstacles that employees must face in introducing new tools have been identified. In general, the results show that time and the associated pressure on decision-making speed play a crucial role in the decision-making process.


2018 ◽  
Vol 2 (2) ◽  
pp. 63-77 ◽  
Author(s):  
Aleksandra Wójcicka

The financial sector (banks, financial institutions, etc.) is the sector most exposed to financial and credit risk, as one of the basic objectives of banks' activity (as a specific enterprise) is granting credit and loans. Because credit risk is one of the problems constantly faced by banks, identification of potential good and bad customers is an extremely important task. This paper investigates the use of different structures of neural networks to support the preliminary credit risk decision-making process. The results are compared among the models and juxtaposed with real-world data. Moreover, different sets and subsets of entry data are analyzed to find the best input variables (financial ratios).


2018 ◽  
Vol 30 (03) ◽  
pp. 1850011 ◽  
Author(s):  
Asit Subudhi ◽  
Sanatnu Sahoo ◽  
Pradyut Biswal ◽  
Sukanta Sabut

Detection of ischemic stroke using brain magnetic resonance imaging (MRI) images is vital and a challenging task in clinical practice. We propose a novel method based on optimization technique to identify stroke lesion in diffusion-weighted imaging (DWI) MRI sequences of the brain. The algorithm was tested in a specific slice having large area of stroke region from a series of 292 real-time images obtained from different stroke affected subjects from IMS and SUM Hospital. The proposed method consists of pre-processing, segmentation, extraction of important features and classification of stroke type. The particle swarm optimization (PSO) and Darwinian particle swarm optimization (DPSO) algorithms were applied in segmenting the stroke lesions. The important features were extracted with the gray-level co-occurrence matrix (GLCM) algorithm and in decision making process, the feature set is classified into three types of stroke according to The Oxfordshire Community Stroke Project (OCSP) classification using support vector machine (SVM) classifier. The lesion area was segmented effectively with DPSO process with classification weighted accuracy of 90.23%, which is higher than PSO method having weighted accuracy of 85.19%. Similarly, the values of different measured parameters were high in DPSO technique, the computational time was also higher in DPSO method for segmenting the stroke lesions. These results confirm that the DPSO-based approach with SVM classifier is an effective way to identify the decision making process of ischemic stroke lesion in MRI images of the brain.


Author(s):  
І. V. Kravets

The article is devoted to advertising discourse, which uses the "argument to authority" as a powerful influential technique. The purpose of our article is to find out the influential potential of accepting the "argument for authority" in advertising discourse. The purpose involves the following tasks: to consider the essence of the concept of "argument to authority", to identify the influential features of "argument to authority", to clarify the mechanism of action of "argument to authority", to identify varieties of "argument to authority", to propose a classification authority ».The object of research is the influential load of advertising discourse, the subject - the influential potential of receiving the "argument to authority" in advertising discourse. The mechanism of the principle of action of the designated reception is developed, its influence of a sign is edited, in particular automaticity of reaction in a certain way to the information submitted by "authoritative" persons. Varieties of "argument of authority" are revealed: personalities and symbols of "authority". The classification of varieties of "argument to authority" is offered, where there are two blocks with the corresponding varieties: personalities ("stars", experts, consumers) and symbols of "authority" (brand owner, clothes, attributes and terms). The advantages of receiving an "argument to authority" is that to start the singer's program desire to imitate the leader, which deprives the educational consumer of complex mental operations in the decision-making process to acquire a singer or service. The recommendations of the "authorities" are not subject to criticism, are taken for granted, no doubt, to give authoritative advertising work the fastest. We see a promising study in the further study of the actualization of the motives of prestige and elitism, to be realized in commercial advertising discourse using the technique of "argument to authority".


2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Iwona Mazur

The article discusses a functional approach to audio description (AD) and first proposes a classification of text types, followed by a model of source text (ST) analysis which encompasses three layers: the contextual, the macrotextual and the microtextual. The functional model helps identify the functional priorities in a given ST, which may then guide the audio describer’s decision-making process: the results of contextual and macrotextual analyses will assist the describer in the selection of the so-called macro strategy, while the microtextual analysis may help in making lower-level decisions called micro strategies. Although the model has been designed primarily for didactic purposes, its principles may also be useful for more experienced describers. Additionally, the model constitutes a theoretical conceptualisation of AD and attempts to better integrate AD within the field of translation studies.


Author(s):  
Yu.V. Barayeva ◽  
◽  
N.A. Kabanova ◽  

The state and development of agriculture determines the level of food security of the country. The problems associated with the agricultural industry in Russia are systemic. In the context of multifactorial development of the agricultural sector, it is important to constantly analyze the conditions that affect the occurrence of risks in the economic activity of the industry. For a comprehensive accounting of risk factors in agriculture, it is necessary to rely on the industry classification of risks. In a modern economy, risks are present in any economic activity. In the decision-making process in risk management issues, it is necessary to understand the characteristic features of the occurrence of risk factors, to analyze and systematize the most significant risks of the agricultural industry.


Author(s):  
Veland Ramadani ◽  
Donika Zendeli ◽  
Shqipe Gerguri-Rashiti ◽  
Leo-Paul Dana

Purpose This paper aims to study and compare variables such as location, industry, socio-demographics and business factors of several companies located in Western Macedonia. Design/methodology/approach Research method is based on primary data the authors collected through questionnaires and secondary data obtained from State Statistical Office. Besides, the research sums up data classification of companies in the aspect of geomarketing and how location determinants and geo-information of certain cities can influence their business development and decision-making. Lastly, the results of data and Structural Equation Modeling integration are presented. Findings Since Republic of Macedonia is more than 25 years in transition, experts have often foreseen that companies in their country most of the time make intuitive decisions and do not take into account many elements during decision-making process in the business aspect. But on the other hand, results reveal interesting facts about companies involved in their research. For a majority of companies, the influence of geomarketing on business development is positive as long as during decision-making process its determinants have been taken into consideration and reviewed. Practical implications The paper helps the entrepreneurs to develop their businesses and decision-making process based on geomarketing determinants. Originality/value This is the first paper that investigates and compares variables such as location, industry, socio-demographics and business factors of companies located in Macedonia.


Author(s):  
O. Milov ◽  
O. Korol ◽  
V. Khvostenko

The subject are the bounded rationality agents of cyber security system. The purpose of this work is is to build a classification system for agents of a cybersecurity system with limited rationality. The tasks: consideration of the decisionmaking process by agents in cybersecurity systems, analysis of various manifestations of bounded rationality of agents of the cybersecurity system, introduction of classification features of bounded rationality, formal presentation of bounded rationality of various types, combining agents with various types of bounded rationality into a whole classification system. Results. Presents approaches to the classification of the concept of rationality in relation to cybersecurity systems. Such types of rationality are considered as strong, semi-strong, weak. Further classification of types of rationality is carried out on the basis of the place of manifestation of rationality. For this, the decision-making process in the cybersecurity system has been considered, formal relations have been introduced, which characterize its various stages. Such types of bounded rationality as informational, methodological, predictive, evaluative and conditional are considered. The ratio of the considered types of rationality is presented. Conclusion: A comparison of various types of bounded rationality, based primarily on its place in the decision-making process, made it possible to propose a classification scheme of bounded rationality characteristic of agents of the cybersecurity system. The result of the formalization of the description of bounded rationality is presented, which can be used as the basis for the development of models of behavior of interacting agents of cybersecurity systems.


2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Anna Triwijayati

Children consumers are a potential segment because they have pocket money and do the buyingbehavior. Consuming snacks at school is typical children behavior in Indonesia. Research onhow children make decision of their consumption is very interesting and useful because there hasnever been a similar study thoroughly examined the specific decision making of childrenconsumers. This study aims to construct a theory of decision making of buying snacks bychildren consumers. The research method used is phenomenology. Phenomenology method isutilized in order to get meaningful and ‘live’ children’s experiences. Based on the stages of datacollection, analysis and classification of the themes, this result obtained 22 themes related tochildren consumer decision making. All of themes are processed into meaning essential and fromthis gives propotitions and model of children consumer decision making.The result shows thatchildren consumer decision making process is determined by these factors: internal children theirself, teacher’s references, parents, conditioning and snack product. The process have threestages which are driving physical and psychological need factors, process of quick alternativeevaluation of snack products, and unplanned decision.Konsumen anak adalah segmen yang potensial karena mereka memiliki uang saku danmelakukan pembelian.Perilaku mengkonsumsi jajanan pada konsumen anak merupakan perilakuanak yang khas di Indonesia.Penelitian tentang bagaimana anak mengambil keputusan konsumsisangat menarik dan berguna untuk diteliti karena belum pernah ada penelitian serupa yangmengkaji dan menghasilkan model pengambilan keputusan khusus konsumen anak secaralengkap. Penelitian ini bertujuan untuk membangun suatu teori proses pengambilan keputusanpembelian makanan jajanan oleh konsumen anak. Metode penelitian yang digunakan adalahfenomenologi. Metode tersebut dipilih untuk mendapatkan pengalaman anak yang bermakna dan‘hidup’. Berdasarkan tahapan pengumpulan dan analisis data serta dari hasil penggolongan tema,diperoleh hasil 22 tema terkait dengan pengambilan keputusan konsumen anak.Semua tematersebut diolah melalui proses esensi makna sehingga menghasilkan proposisi dan modelpengambilan keputusan konsumen anak. Hasil analisis menunjukkan bahwa pengambilankeputusan konsumen anak ditentukan oleh faktor internal anak, referensi guru, orang tua,pengkondisian dan produk. Proses pengambilan keputusan konsumen anak memiliki tiga tahapanproses yaitu dorongan kebutuhan fisik dan psikis anak, proses evaluasi pilihan jajanan yangdilakukan dengan cepat (quick evaluation) dan keputusan pembelian yang tidak terencana(unplanned decision).


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