Variability Of Conditions Research Articles

On noise-induced transient bit flips in subthreshold SRAM

We propose a rigorous SPICE simulation framework, compatible with industrial process design kits, to observe transient bit flips in CMOS SRAM due to the intrinsic transistor noise. The parameters of transient noise simulation are selected according to the noise behaviour and bandwidth of the inverter, however under CPU-time constraint. The methodology is illustrated in 28nm FD-SOI technology. We study the combined effects of the random telegraph noise, flicker and thermal noise sources, for the first time to our knowledge. The extracted mean times to failure (MTTF) are compared to those reported in the literature in extreme voltage, temperature and variability conditions. The MTTF spans from below 0.1ms to 108s, following a theoretical trend logMTTF∝VDD2.

Super ensemble based streamflow simulation using multi-source remote sensing and ground gauged rainfall data fusion

Traditional data-driven streamflow predictions usually apply a single model with inconsistent performance in different variability conditions. These days model ensembles or merging the benefits of different models without losing the general character of the data are becoming a trend in hydrology. This study compared three super ensemble learners with eight base models. Twelve years of monthly rolled daily time series data in three river catchments of Ethiopia (Borkena watershed: Awash river basin), (Gummera watershed: Abay river basin), and (Sore watershed: Baro Akobo river basin) is used for single-step daily streamflow simulation using previous thirty-day input timesteps. Five input scenarios are applied: three vegetation indices, three remote sensing-based precipitation products, ground-gauged rainfall, all fused inputs, and selected inputs with the Recursive Feature Elimination (RFE) algorithm. The time series is then divided into training and testing datasets with a ratio of 80:20. The performance of the proposed models was evaluated using the Root Mean Squared Error (RMSE), coefficient of determination (R2), Mean Absolute Error (MAE), and Median Absolute Error (MEDAE). Finally, the result is presented with the corresponding five input scenarios. The catchment's and input scenario's average performance indicated that the three super ensemble learners outperformed the eight base models with relatively stable performance. The top-ranked WASE model exceeded the linear regression baseline by 13.3%. XGB, CNN-GRU, and LSTM proved the highest performance of the base models. This study also revealed that LSTM's key downside is its performance drop in the absence of feature selection criteria. In comparison, XGB showed its superior performance after controlling redundant inputs internally. Moreover, this study uniquely highlights the potential of remote sensing-based vegetation indices in the science of data-driven streamflow modelling for non-gauged catchments with no meteorological time series.

Devising a systematic approach to the implementation of innovative technologies to provide the stability of transportation enterprises

This paper reports a study of the main key components of influence on the stability of transportation enterprises in the market. A model for evaluating the effectiveness of innovation activity in the transport industry, which takes into account indicators of expenditures on innovations, has been built. It makes it possible to determine the effectiveness of introduced innovations, which indicates the appropriate level of innovation potential and the ways that the enterprise must take to increase it. The main directions of innovative development of transportation enterprises were investigated. The assessment of the economic stability of transportation enterprises in the market has established that the current state of development of enterprises is characterized by a weak level of their innovative activity. A systematic approach to the introduction of innovative technologies by a transportation enterprise in the market has been devised. This approach makes it possible to determine the required level of enterprise stability and to form a relationship between the level of innovative technologies and their stages of implementation under conditions of environmental variability. This makes it possible to increase competitive advantages, improve the efficiency of production and economic activity of enterprises. The practical implementation of the proposed model for evaluating the effectiveness of innovation activity in the transport industry has been carried out, which made it possible to allocate the most important indicators of innovation activity for the enterprise. These include specific efficiency of innovation; unit costs of innovation; innovative potential of the enterprise (defined as the proportion of own innovative developments). According to the study results, it is determined that the specific efficiency of innovations (SEI) exerts the greatest influence, which, with an increase by 1 %, provides an increase in financial stability by 1.48 %

Intra-hour PV power forecasting based on sky imagery

This paper introduces an upgraded version of the PV2-state model [Paulescu et al. Renew Energy 195 (2022) 322] for intra-hour photovoltaic (PV) power forecasting. The model incorporates real-time adjustments to the estimated clear-sky PV power or the transmittance of clouds, considering the Sun coverage by clouds. A physics-based approach for processing cloud field information from an all-sky imager is proposed to intra-hour forecast SSN, a binary quantifier stating whether the Sun is shining (SSN = 1) or not (SSN = 0). The model performance with the new procedure is investigated from three perspectives: forecast accuracy, forecast precision and the response to the variability in the state-of-the-sky. The study was conducted with high-quality 1-min data collected from a micro-PV plant, on a sample of days with scattered clouds. PV2-state demonstrates notable performance particularly under challenging conditions, where models typically struggle to perform well. In terms of skill score, the overall model performance ranges between 10 and 20%, and under very high variability conditions even exceeding four times the purely statistical forecast. For the operationally relevant 15-min horizon, PV2-state exhibits a noteworthy precision, with two-thirds of forecasts falling within a 10% tolerance interval. Even under severe conditions roughly one third falls in this 10% interval.

Effect of Impact Parameters on a Unilateral Contusion Model of Spinal Cord Injury in a Virtual Population of Non-Human Primates.

Non-human primate (NHP) spinal cord injury experiments exhibit high intersubject variability in biomechanical parameters even when a consistent impact protocol is applied to each subject. Optimizing impact parameters to reduce this variability through experiments is logistically challenging in NHP studies. Finite element models provide a complimentary tool to inform experimental design without the cost and complexity of live animal studies. A morphologically variable virtual population (N = 10) of NHPs quantified the interaction of morphological variability and different impact conditions in a unilateral cervical contusion, including impactor size (4 and 5 mm) and mediolateral alignment over the cord midline (0.5 and 1 mm). We explored the effect of these conditions on the magnitude and intersubject variability of impact force and cord lateral slippage. The study demonstrated that a 1-mm mediolateral alignment maximized peak forces and minimized lateral slippage. A 5-mm impactor was beneficial in increasing peak forces, whereas a 4-mm impactor reduced lateral slippage. Comparatively, intersubject variability in peak forces and lateral slippage were minimized with a 0.5-mm mediolateral alignment. The study highlights that impact parameters selected based on peak forces may not be beneficial in reducing variability. The study also showed that morphology was an important contributor to variability. Integrating morphology variability through a virtual population in an injury simulation to investigate mechanistic research questions will more effectively capture the heterogeneity of experiments and provide better insights for effective experimental design.

Оптимізація стратегій управління фінансами підприємства

The diversity and increasing complexity of the market environment, the intensity and dynamism of production, and economic processes require enterprises to maximize their capabilities and reserves. The transformational processes taking place at domestic enterprises are primarily related to finance. The analysis of cash flows, the search for effective sources of financing, profitable investment solutions, and the development of rational accounting and tax policies form the basis of modern enterprises' activities. Therefore, in current conditions, the method and methodology of strategic financial management are increasingly used in enterprise management. In this connection, the issues of forming a financial strategy and managing the developed financial strategy become especially relevant. Today, the task of creating a financial management system that is consistent with a competitive strategy is especially suitable for enterprises. The need for significant amounts of investment resources, the peculiarities of business processes, and related uncertainties determine the contours of the financial management system, including investment and risk management. In current business conditions, deciding on financial management methods influencing business risks is essential. The development of a strategy for managing the financial activities of an enterprise is a critical component in the success of its functioning since, without the correct choice of the general direction of movement in the long term, it is impossible to solve the current tasks of managing the organization's monetary funds effectively. The significance of the process of developing a financial activity management strategy, among other things, is that in the absence of such a strategy in the conditions of environmental variability, different structural units of the organization can conduct multidirectional policies, which, of course, can negatively affect the level of the financial position of the enterprise. In addition, without a constructed and documented strategy for managing financial activities, enterprise managers can make multidirectional financial decisions, which may lead to a contradiction in the system of managing economic activities. Keywords: optimization, strategy, enterprise, environment, planning.

SCENARIOS OF THE DEVELOPMENT OF ENTERPRISES OF THE TOURIST INDUSTRY OF UKRAINE IN THE CONDITIONS OF THE WAR AND POST-WAR PERIODS

The purpose of the article is to study the factors of the development of enterprises in the tourism industry of Ukraine and the formation of scenarios for their development in the conditions of martial law and after the end of hostilities. When conducting the research, the methods generally accepted in economic science were used: monographic, dialectical - in the process of researching the development of enterprises of the tourism industry of Ukraine under martial law and after the end of hostilities; analysis and synthesis, grouping - to determine the factors of development of tourism industry enterprises; generalization and analysis, economic-statistical, abstract-logical and system-structural - for the formation of scenarios for the development of enterprises of the tourism industry of Ukraine. The key problem of the study is russia's attack on Ukraine, which turned into a heavy blow to the country's tourism. The article proves that protectionism and international conflicts threaten freedom and freedom to travel. All these changes mean that we are going through a period of great destabilization. It is justified that the reality as we know it, with a Europe without border crossings, may soon disappear. Emphasis is placed on the fact that it is important to create such tourist programs now so that not only Ukrainians but also tourists from other countries understand what was happening in Ukraine and tell about the struggle of Ukraine. Four scenarios for tourism development in Ukraine have been proposed, each with a number of implications for stakeholders. Based on the conducted scientific research, it was concluded that one of the optimal approaches to the formation of scenarios for the development of tourism industry enterprises in Ukraine in the conditions of universal dynamism, unpredictability and variability of the business environment is recognized as strategic management and change management. The practical significance of the obtained results reveals the prospects for applying the main scientific provisions of the article in the practice of managing tourism business enterprises in Ukraine in the conditions of post-war reconstruction. The results of the study presented in the work can be used by economists, scientists and practitioners to implement scenarios for the development of tourism industry enterprises in Ukraine, each of which has a number of consequences for stakeholders.

Atmospheric CW S-Lidars with Si/InGaAs Arrays: Potentialities in Real Environment

The article proposes a methodology for analyzing the performance of S-lidars (S comes from Scheimpflug) as a new class of environmental remote sensors operating under conditions of wide variability of optical weather and sky background brightness. The novelty of the problem statement, the methods used and the results obtained are determined by their application to laser sensing systems with unconventional design principles and the consequent need to revise the traditional ways of assessing their potential capabilities. The research method is based on a dimensionless-parametric approach, which allows comparing phenomena and systems of different scales and combining complementary characteristics and parameters. Effects of the dimensionless optical weather factor on lidar potential are shown being investigated under various environmental conditions, from the clear atmosphere through haze and mist to fog when probing in Vis/SWIR spectral bands and using Si/InGaAs detector arrays. It is shown exactly how and to what extent the significant differences in their spectral sensitivity and internal noise parameters are susceptible to the wide spectral and energy variability of the sky background brightness observed at very different angles to the Sun. A detailed analysis of the two most important influencing factors within the system, “S-Lidar instrument + Optical weather + External background source”, taking into account their wide variability, allowed us to describe their joint nonlinear influence and, thus, to anticipate the imposed limitations. The proposed dimensionless-parametric concept for predicting the potential capabilities of S-lidars with Si/InGaAs arrays is aimed at expanding applications of this rapidly developing class of remote sensors in a wide variety of environments.

SUBSTANTIATION OF HR STRATEGY IN THE BUSINESS PLAN OF THE COMPANY

SUBSTANTIATION OF HR STRATEGY IN THE BUSINESS PLAN OF THE COMPANY

Managerial Determinants in Design Management as a Means of Developing Organisational Resilience in an Uncertain Economic Environment

Theoretical background: Design management is of paramount relevance in many modern organisations, increasingly also in those operating in Poland, remaining an independent approach to change management for the creation of new products and services, achieving better productivity and efficiency in a global and competitive environment. Until now, the basis of design management processes has been to understand the needs of the user or customer, their expectations and aspirations. This approach, like many management concepts, is now undergoing a transformation, driven by huge economic, social, political and environmental changes. The uncertainty of tomorrow, facing crises, wars, erupting pandemics are just some of the so-called Black Swans causing the need for management change in organisations. Nowadays, design management is experiencing a boom, which is primarily linked to a shift away from seeing it only on an operational level or as a marketing function to emphasising its strategic importance. In this situation, the concept of “just in time”, familiar from management by quality, should evolve into “just in case” in a much broader reference than that relating to the production, delivery or storage of raw materials and finished goods. The design management model presented in the article is an example of an activity that responds to the needs of companies precisely in conditions of variability, due to the fact that its essence is flexibility and the possibility of redesigning it by adding or subtracting specific constructs, appropriate to the just in case situation. Purpose of the article: This article aims to present how managerial conditions conducive to the implementation of design management activities can support companies in achieving organisational resilience in a world defined by the acronym “BANI”. Research methods: The research problem is to identify managerial determinants conducive to the implementation of design management activities through which companies can achieve organisational resilience. In order to obtain an answer to the research problem so posed, a literature review of design management approaches was conducted, with a presentation of the traditional Danish Design Ladder model and its updated version, adapted to the BANI concept. Based on the literature, the acronyms “VUCA” and “BANI”, used to describe current economic phenomena, were explained. The article then presents some of the results of a survey conducted in 2019–2020, in companies registered in Poland. Quantitative estimation using the CATI method (1,200 medium and large enterprises) and qualitative verification using PAPI and IDI techniques (58 large enterprises with a high level of project maturity and experience in implementing project management) were used. Main findings: The paper presents design management as a type of organisational activity important for achieving organisational resilience. The essence of design management, its two models and the management conditions necessary to implement this approach were described. The role of managers in implementing change in an organisation is characterised. The above considerations are based on a literature review and own research.

Features of financial risk management of the enterprise in the conditions of transformational changes

The subject of the research is theoretical and methodological approaches to the management of financial risks of the enterprise. The purpose of the article is to study the essence of the concept of "financial risk", the factors of financial risks and the identification of the peculiarities of the management of financial risks of the enterprise in the conditions of transformational changes. Method or methodology of research. In the article, a set of methods of scientific knowledge was used to solve the tasks, which made it possible to realize the conceptual unity of scientific research. System method, method of generalization, methods of analysis and synthesis, comparison, scientific abstraction are applied. Results of the article. The article discusses approaches to defining the concept of "financial risk". Factors of financial risks of the enterprise are systematized. The need to manage the company's financial risks in conditions of transformational changes has been identified. Peculiarities and stages of financial risk management of the enterprise are studied. The conceptual principles of financial risk management of the enterprise in the system of its financial security are proposed, which will contribute to the application of risk neutralization methods and thus ensure the profitability of the business entity and a high level of financial security. Field of application of results. The results of the study can be used by enterprises in the development or modernization of the financial risk management system. Conclusions. In the conditions of instability and variability of the external economic environment, an effective financial risk management system of an enterprise has a positive effect on its financial and economic activity. In particular, it provides a set of measures to reduce the negative impact of financial risks on the results of the business entity and ensures the strengthening of its financial security in the conditions of transformational changes.

Assessment and modelling the dynamics of building materials prices in the current conditions

Construction, which is the driver of economic development in the current crisis conditions, needs to determine the correct cost and sufficiency of material resources, as well as systematic forecasting of price dynamics in order to plan the implementation of investment projects. High material capacity of construction products, along with the specificity of its pricing, leads to the necessity of not only keeping sufficient accuracy of quantitative and cost calculations regarding basic construction materials but also predicting the dynamics of cost in order to determine the volume of capital costs and accounting for the cost of work. The unstable dynamics of the cost of construction materials in 2022, caused by foreign policy pressure, requires the systematization of the factor space in order to predict trends more reliably. The factor space of the price dynamics of construction materials has undergone fundamental changes, starting with the impact of the coronavirus pandemic, and further due to changes in the geopolitical situation, sanctions pressure from unfriendly countries and corresponding changes in the economic principles of globalization, the transformation of the global and domestic logistics system, as well as the actions of local country and industry scale predictors. The authors have proposed a system of factors affecting the cost of building materials, structures and products in modern conditions, on the basis of the factor analysis the prices of basic building materials (armature and concrete) have been corrected by the expert method, a scenario forecast of price dynamics has been made. The authors substantiate the necessity for calculation-expert forecasting in conditions of high uncertainty and variability of forecasting results. In general, in the short term, a moderate upward trend in the cost of basic building materials with a rather high value coefficient of variation, explained by the strong influence of non-economic factors on the price.

Understanding the natural expansion of white mangrove (Laguncularia racemosa) in an ephemeral inlet based on geomorphological analysis and remote sensing data

The interactions between local tides and river discharges are crucial in the processes related to the recruitment of mangrove propagules in estuarine systems. This investigation aimed to determine the causes of the recent natural recruitment and expansion of Laguncularia racemosa in mudflats within an ephemeral inlet in Mexico. We conducted a fluvial and coastal geomorphology assessment with spaceborne and UAV-based images. We deployed and recorded continuous data loggers in the estuarine system to assess water level and salinity. Depending on the available data, we used a combination of cloud-computing Google Earth Engine, UAV-Digital Surface Models, LiDAR, Google Earth images, and biophysical variables to monitor mangrove forests from 2005 to 2022. When the inlet is open, the estuarine system presents a full tidal range (∼1–1.5 m) with a strong salinity gradient (0–35 mS/cm), in contrast to the strong freshwater influence and minimal water level variability (<10 cm) that prevails for three months when the inlet is closed. Once the mouth of the river closes, there is considerable sediment accumulation, creating mudflat areas adjacent to the mangrove forests where Laguncularia racemosa propagules begin to establish under minimal water level variability and oligohaline conditions. After 16 years, the new forest expanded by 12.3 ha, presenting a very high density (10000 stems/ha), a considerable basal area (54–63 m2/ha), and a maximum canopy height of 15.8 m, which largely surpasses that of other semiarid Laguncularia racemosa forests within permanent open-inlet systems or even in ephemeral inlets with different hydrological conditions. Our study will help to understand the causes of natural Laguncularia racemosa recruitment in extremely dynamic systems.

From Lab to Field: An Empirical Study on the Generalization of Convolutional Neural Networks towards Crop Disease Detection

Due to complex feature abstraction and learning power, CNNs have been the most successful machine learning algorithms for image classification tasks. The objective of this work was to evaluate the potential of convolutional neural networks (CNNs) for extracting underlying complex features and recognize these patterns towards the task of detecting healthy and diseased crop plants. The generalization of these algorithms was assessed on different situations of training and testing scenarios using images from controlled lab conditions and real field environments. Results have shown that when presented with sufficient data variability in training, englobing images with similar conditions faced in testing, the deep learning architectures delivered accurate results of over 90%. In contrast, the same architectures were not able to generalize the accuracy of training towards the detection of new unseen images that were not extracted in the same settings as the ones from the training set, delivering, in this case, a general accuracy of around 50%. The deployment of practical automated support systems for disease detection depends on the provision of robust datasets for training CNNs which contemplate the spectral variability conditions found in numerous crop cultivation environments encountered in diverse field sites across the globe.

Future of birds nesting on river islands in the conditions of hydrological variability caused by climate change

The mew gull (Larus canus), little tern (Sternula albifrons) and black-headed gull (Chroicocephalus ridibundus) are threatened in Poland by the loss of breeding habitats due to changes in the hydrological regime of rivers and the frequency and length of inundation. Analysis of daily flows generated from the SWAT model allowed us to obtain the values of hydrological characteristics expressed as Indicators of Hydrological Alteration (IHA) and find the relationship with collected data on nesting success on islands and sandbanks in the Middle Vistula from 2004 until 2018. For each bird species, a set of adjusted IHA was calculated for future scenarios (2021-2050 and 2071-2100). The projections were prepared on the basis of EURO-CORDEX and contain two scenarios of changes in greenhouse gas concentrations: RCP4.5 and RCP8.5. Catastrophic breeding seasons quantification was carried out to assess the number of years that will have unsuitable hydrological breeding conditions in the projected climate change. The mew gull noted the lowest nesting success (during 2004-2018) but it seems that hydrology is not the principal factor causing it. This species will experience an increase in high flows due to climate change in the far future scenarios. The black-headed gull is projected not to be affected by an increase in the percentage of catastrophic breeding seasons due to climate change. The little tern seems to be the most affected by projected climate change due to an increase in high flows and, in consequence, an increasing percentage of catastrophic breeding seasons. The results confirmed the importance of hydrologic change for avian nesting success.

To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders

Electric vehicles (EVs) are spreading fast as they promise to provide better performance and comfort, but above all, to help face climate change. Despite their success, their cost is still a challenge. Lithium-ion batteries are one of the most expensive EV components, and have become the standard for energy storage in various applications. Precisely estimating the remaining useful life (RUL) of battery packs can encourage their reuse and thus help to reduce the cost of EVs and improve sustainability. A correct RUL estimation can be used to quantify the residual market value of the battery pack. The customer can then decide to sell the battery when it still has a value, i.e., before it exceeds the end of life of the target application, so it can still be reused in a second domain without compromising safety and reliability. This paper proposes and compares two deep learning approaches to estimate the RUL of Li-ion batteries: LSTM and autoencoders vs. CNN and autoencoders. The autoencoders are used to extract useful features, while the subsequent network is then used to estimate the RUL. Compared to what has been proposed so far in the literature, we employ measures to ensure the method’s applicability in the actual deployed application. Such measures include (1) avoiding using non-measurable variables as input, (2) employing appropriate datasets with wide variability and different conditions, and (3) predicting the remaining ampere-hours instead of the number of cycles. The results show that the proposed methods can generalize on datasets consisting of numerous batteries with high variance.

Relationship Between Sea-level Variability and Meteorological Conditions in Abu-Qir Bay (Alexandria – Egypt)

Relationship Between Sea-level Variability and Meteorological Conditions in Abu-Qir Bay (Alexandria – Egypt)

Probabilistic solar nowcasting based on all-sky imagers

The interest in shortest-term solar irradiance forecasts (nowcasts) increases steadily with the increase share of distributed solar power generation. Such solar irradiance nowcasts are beneficial for different stakeholders, from generation to transmission and demand, in order to tackle challenges caused by the variability of solar irradiance. In space and time highly resolved nowcasts can be obtained by all sky imager (ASI) systems, which analyze the sky conditions from sky images. Deterministic nowcasts from ASI systems are subject to significant uncertainties. Reliable uncertainty information are very helpful for any application, in order to derive practical benefit from nowcasts. Therefore, such nowcasts should be probabilistic in nature, which provide probability distributions. Meaningful indicators for the uncertainties at hand are provided by prediction intervals for distinct confidence levels derived from the probability distributions. Thus, a real time capable nonparametric probabilistic quantile nowcasting method based on deterministic ASI nowcast is developed. The method takes irradiance variabilities as main predictor of nowcast uncertainties into account. A benchmark against three distinct baseline models is conducted over an extensive data set, using a variety of recently recommended scores. Overall average continuous ranked probability skill scores (Clear-Sky Dependent Climatology as baseline) for nowcasts up to 20 min ahead of 0.72 ± 0.08 (direct normal irradiance) and 0.62 ± 0.09 (global horizontal irradiance) are reached. For a better evaluation of the actual performance of the probabilistic nowcasts, a discretization of the validation data set into eight irradiance variability conditions is performed. All scores are determined for each of these distinct conditions.

Canopy Composition and Spatial Configuration Influences Beta Diversity in Temperate Regrowth Forests of Southeastern Australia

Structural features of the overstorey in managed and unmanaged forests can significantly influence plant community composition. Native Acacia species are common in temperate eucalypt forests in southeastern Australia. In these forests, intense disturbances, such as logging and wildfire, lead to high densities of regenerating trees, shrubs, and herbs. The tree layer is dominated by Acacia and Eucalyptus, that compete intensely for resources in the first decades after stand establishment. The relative abundance and size of Acacia and Eucalyptus varies widely due to stochastic factors such as dispersal, microsite variability, and weather and climatic conditions. This variability may influence the structure and composition of the herbaceous and shrub species. In the temperate forests of southeastern Australia, understorey plant diversity is assumed to be influenced by Acacia species density, rather than Eucalyptus density. To quantify the influence of Acacia and Eucalyptus density on plant community composition, we used remote sensing and machine learning methods to map canopy composition and then compare it to understorey composition. We combined unoccupied aerial vehicle (UAV or drone) imagery, supervised image classifications, and ground survey data of plant composition from post-logging regrowth forests in the Central Highlands of southeastern Australia. We found that aggregation and patch metrics of Eucalyptus and Acacia were strongly associated with understorey plant beta diversity. Increasing aggregation of Acacia and the number of Acacia patches had a significant negative effect on plant beta diversity, while the number of Eucalyptus patches had a positive influence. Our research demonstrates how accessible UAV remote sensing can be used to quantify variability in plant biodiversity in regrowth forests. This can help forest managers map patterns of plant diversity at the stand-scale and beyond to guide management activities across forested landscapes.

Theoretical founda-tions of the marketing concept of management and formation of a strategy for the development of the enterprise under conditions of sustainabi-lity

The article examined the essence of the marketing concept of enterprise development management, studied the theoretical and methodological approaches to the formation of the marketing concept of enterprise development management, investigated the types of marketing concepts of enterprise development, and also analyzed the marketing tools used in the improvement of enterprise development management. It was established that the marketing activity of the enterprise should contribute to the acquisition of competitive advantages in conditions of instability and variability of the external environment. Therefore, undoubtedly, the effectiveness and efficiency of the development of the enterprise depends on the results of the marketing activity, which becomes one of the elements of the enterprise management system. During the research, the author characterized the concentration of agricultural crop market participants and presented the characteristics of their marketing concept. The role and place of the marketing concept in the management system is considered, and the principles of its application at enterprises are established. The peculiarities of the formation of the marketing concept of enterprise development management in modern conditions are considered. The interrelated components of the marketing concept of the enterprise development management process are defined. And based on the improvement of the management system, marketing concepts of the development of enterprises were formed, which are determined by many reasons; the goals of managing the marketing activities of the enterprise and its principles, structure and other elements of the marketing concept are reflected. The stages of the efficiency of functioning and development of the enterprise when using the marketing concept of management are defined. The elements of the marketing concept of business development management and the factors influencing marketing strategies of business development management are also presented. The purpose of the article is a theoretical study of the essence, meaning and features of the marketing concept of enterprise development management and a generalization of scientific and practical proposals for improving the efficiency of the enterprise. The solution to the scientific problem arises in the study and generalization of the theoretical foundations and methodological approaches of researching the marketing concept of enterprise development management. Keywords: marketing concept, management, development, marketing potential, marketing strategy.