Relevant bibliographies by topics / Agricultural machinery sales forecasting

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Agricultural machinery sales forecasting'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Agricultural machinery sales forecasting"

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Нехай, Вікторія Василівна. "ФОРМАЛІЗАЦІЯ МЕТОДИКИ ПРОГНОЗУВАННЯ ЗБУТУ ПРОДУКЦІЇ ПІДПРИЄМСТВ СІЛЬСЬКОГОСПОДАРСЬКОГО МАШИНОБУДУВАННЯ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 1 (7 квітня 2023): 73–79. http://dx.doi.org/10.32620/cher.2023.1.09.

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The article is devoted to the study of the problems of the sales organization of agricultural engineering enterprises. The need to develop the growth potential of its volumes and improve the methodology of their forecasting, taking into account the participation of enterprises in integration associations, is considered urgent. The purpose of the study is to substantiate an innovative approach to the formalization of the method of forecasting sales of products of agricultural machinery enterprises. The object of the study is a complex of factors that affect the sales performance of enterprises.
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Kumar, Manoj, C. R. Mehta, Bikram Jyoti, M. B. Tamhankar, and V. Bhushana Babu. "Technology Forecasting of Agricultural Implements for Central India using Structural Time Series Model." Journal of Agricultural Engineering (India) 62, no. 1 (2025): 69–79. https://doi.org/10.52151/jae2025621.1907.

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This study investigates the technology forecasting of agricultural implements in Central India, focusing on enhancing farm mechanization to improve productivity and farmers’ income. The Structural Time Series (STS) model was applied to predict the future demand for 14 commonly used farm implements for the year 2020, 2025 and 2030 in Madhya Pradesh, using sales data from 138 manufacturers (2000-2018). Implements such as graders and animal-drawn tools showed declining trends, with higher mean absolute percentage error (MAPE). The findings revealed an increasing demand for modern agricultural mac
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Smykov, Sergei, Pavel Ivanov, Elena Usova, Alexandra Krasnova, and Alexander Skakunov. "Ways to improve agricultural machinery maintenance technologies." АгроЭкоИнфо 2, no. 56 (2023): 25. http://dx.doi.org/10.51419/202132225.

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This article discusses ways to improve the technology of maintenance of agricultural machinery. The variants of increasing the efficiency of the use of agricultural machinery by improving agricultural technologies, in which diagnostics, forecasting and maintenance of various mechanisms play an essential role, are proposed. Keywords: MAINTENANCE, TECHNICAL CONDITION, FORECASTING, INNOVATION, AUTOMATION, ROBOTICS
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Nosov, V. V., M. G. Tindova, K. A. Zhichkin, et al. "Forecasting the production of agricultural machinery in the Russian Federation." IOP Conference Series: Earth and Environmental Science 1045, no. 1 (2022): 012014. http://dx.doi.org/10.1088/1755-1315/1045/1/012014.

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Abstract The article examines the production of agricultural machinery in the Russian Federation for the period from 2000 to 2020. The aim of the work is to develop a forecast for the production of the main types of agricultural machinery in the Russian Federation in modern conditions. Within the framework of this, the following tasks are supposed to be solved: - study of the availability of agricultural machinery for domestic agricultural producers; - identification of trends in the development of agricultural machinery production; - construction of econometric models that describe the volume
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Hu, Yao Guang, Shuo Sun, and Jing Qian Wen. "Agricultural Machinery Spare Parts Demand Forecast Based on BP Neural Network." Applied Mechanics and Materials 635-637 (September 2014): 1822–25. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1822.

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With the rapid development of agricultural machinery, forecasting the demand for spare parts is essential to ensure timely maintenance of agricultural machinery. Based on features of spare parts, BP neural network is chosen to forecast the demand. First, this paper analyzes factors that affect the demand for spare parts. Second, steps and processes of neural network prediction are described. The third part of this paper is case study based on certain brand of agricultural machinery spare parts. BP neural network turns out suitable for forecasting the demand for spare parts.
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MISUN, Al-I., and A. GARKUSHA. "FORECASTING PRODUCTION RISKS WHEN USING MOBILE AGRICULTURAL MACHINERY." Herald of Polotsk State University. Series B. Industry. Applied Sciences, no. 1 (February 27, 2025): 29–32. https://doi.org/10.52928/2070-1616-2025-51-1-29-32.

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A logistic regression analysis of production risks during the operation of mobile agricultural machinery (using forage harvesters as an example) was performed. The logit transformation of risk as a one-dimensional value described by probability was considered, and the resulting dependencies were tabulated.
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Qin, Xiaoshun, Dongdong Jiang, and Leon Pretorius. "The Impact of Financial Factors on the After-Sales Service of Agricultural Machinery: A Case Study of Chinese Agricultural Machinery in South Africa." Asian Journal of Agriculture and Rural Development 11, no. 1 (2021): 71–78. http://dx.doi.org/10.18488/journal.ajard.2021.111.71.78.

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Compared to other countries, the level of agricultural mechanization in Africa and South Africa is relatively low. Among the factors that influence agricultural mechanization, after-sales service of agricultural machinery is among the most significant. On the other hand, financial resources primarily impact on improvement and enhancement of after-sales service of farm equipment. In this paper, a questionnaire was employed as the method of quantitative data collection to assist in the analysis of data from 739 respondents in the Chinese context. Due to the Covid-19 pandemic in 2020 (Mmbengwa &a
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Luo, Wei, and Zhuo Fu. "Application of Generalized Regression Neural Network to the Agricultural Machinery Demand Forecasting." Applied Mechanics and Materials 278-280 (January 2013): 2177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2177.

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Proposed an agricultural machinery demand forecasting model based on the generalized regression neural network. This model is based on GRNN, using the circulation testing algorithm combined with k-fold cross validation for parameters optimization and network training, and achieves satisfying forecasting precision in the case of small samples. By using the data of total power agricultural machinery and relevant factors from the year 1995 to 2010 in Guangxi province, we tested and verified the effectiveness of the model.
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Duan, Mingyao. "Research on Shackles of Agricultural Modernization in Northeast China -Taking the Promotion of the Western-style Agricultural Machinery in Northeast China as an Example." Advances in Economics, Management and Political Sciences 27, no. 1 (2023): 120–25. http://dx.doi.org/10.54254/2754-1169/27/20231266.

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In the late Qing Dynasty and the early Republic of China, with the gradual development of social economy, agriculture in Northeast China also gradually began to modernize. In this context, businessmen from western developed countries saw the opportunity to actively promote their advanced agricultural machinery through various marketing strategies. Although they achieved satisfactory results in the initial years, their sales gradually weakened over time. Due to the lagging sales of Western-style agricultural machinery, agricultural production in most areas continues adopted the old method until
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GODZHAEV, ZAKHID, VITALIY BEYLIS, ALEKSANDR LAVROV, and VLADIMIR SHEVTSOV. "STANDARDS AND FORECASTING OF AGRICULTURAL PRODUCTION NEEDS IN MACHINERY." Elektrotekhnologii i elektrooborudovanie v APK 4, no. 41 (2020): 151–58. http://dx.doi.org/10.22314/2658-4859-2020-67-4-151-158.

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The development of standard requirements in the technique and methods of their determination is an urgent problem whose solution will give the opportunity to policy authorities and producers not only to solve current problems related to the vehicle fleet, but also to determine future needs for technology for Russia as a whole, regions, and farms of all types. (Research purpose) The research purpose is in developing a methodology for calculating the normative need for equipment for crop production using coefficients for converting physical units of equipment into reference units, which allows u
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Dissertations / Theses on the topic "Agricultural machinery sales forecasting"

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Нехай, В. В. "Збутова діяльність підприємств сільськогосподарського машинобудування на засадах консолідованого маркетингу: теорія, методологія, практика". Thesis, Сумський державний університет, 2019. http://essuir.sumdu.edu.ua/handle/123456789/75091.

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У дисертації розроблено теоретико-методологічні засади та методичний інструментарій удосконалення збутової діяльності підприємств сільськогосподарського машинобудування на засадах консолідованого маркетингу. Обгрунтовано сутність консолідованого маркетингу; визначено його відмінності від інших типів спільної маркетингової діяльності, специфічні принципи та завдання його реалізації, передумови, цільові таргети й етапи ухвалення підприємствами рішення на користь створення інтегрованих структур для реалізації консолідованого порівняно із самостійною організацією збуту або залученням посередників;
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Bally, Cortney. "Commodity pork price forecasting for Hormel fresh pork sales team." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/19762.

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Master of Agribusiness<br>Department of Agricultural Economics<br>Glynn Tonsor<br>To remain competitive in an ever changing pork industry, Hormel Foods required careful evaluation of advertising forecast accuracy. This study determines forecasting accuracy for bone-in loins, boneless loins, butts, and ribs pricing within Hormel Foods and determines the relationship between forecast horizon (how many weeks forward in pricing) and forecasting accuracy of these products. The challenge required the data collection of the advertising pricing quotes for the sale price in comparison to the forecasted
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Bradshaw, Girard W. "Detecting macroeconomic impacts on agricultural prices and export sales : a time series forecasting approach /." Thesis, This resource online, 1988. http://scholar.lib.vt.edu/theses/available/etd-04122010-083628/.

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(8752446), Kylie M. O'Connor. "MODELING ANNUAL AND QUARTERLY U.S. FARM TRACTOR SALES." Thesis, 2020.

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Farm machinery is a vital input for production agriculture and, as a result, is a significant part of the agricultural economy. Despite its great importance, there has been relatively little academic analysis on the driving forces behind farm machinery sales over the past several decades. The studies that do evaluate farm machinery sales all do so regarding annual sales despite shorter-term sales data being available. These previous studies primarily use traditional macroeconomic variables, tailored to the agricultural industry, to explain farm machinery sales. Recently, with the creation of t
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Books on the topic "Agricultural machinery sales forecasting"

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Tractors, Agricultural & Forestry Machinery 1996 (Product Sales and Trade: PRA52). The Stationery Office Books (Agencies), 1997.

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Johnston, Ian M. Tractors, Kalashnikovs and Green Tea: My Life of Tractors and Travels. Rosenberg Publishing Pty, Limited, 2011.

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Book chapters on the topic "Agricultural machinery sales forecasting"

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Wen, Qian, Weisong Mu, Li Sun, Su Hua, and Zhijian Zhou. "Daily Sales Forecasting for Grapes by Support Vector Machine." In Computer and Computing Technologies in Agriculture VII. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54341-8_37.

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Pshenichnaya, Viktoriya, Svetlana Esina, Marina Danilina, Elena Sokor, Lada Voloshina, and Nadezhda Rybakova. "Practical Application of Agricultural Machinery and Psychology of Their Sales in Russia." In XV International Scientific Conference “INTERAGROMASH 2022”. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21432-5_139.

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Ju, Jinyan, Lin Zhao, and Jinfeng Wang. "Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method." In Computer and Computing Technologies in Agriculture VI. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36124-1_11.

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Troyanskaya, Maria A., Vladislav I. Ostrovskiy, Tatiana N. Litvinova, Yana S. Matkovskaya, and Aleksei V. Bogoviz. "Possibilities and Perspectives for Activation of Sales in the Agricultural Machinery Market Within Sectorial Development of Russian and European Economies." In Contributions to Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60696-5_60.

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Liu, Jianglong, Tianhao Wu, Junhui Wu, Zixi Chen, Jue Gong, and Hongyi Chi. "Forecasting Analysis of Demand for Agricultural Products in E-Commerce Based on Single Forecasting Model." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231332.

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In the era of rapid development of information technology, the e-commerce industry is also booming. The sales problem greatly affects the merchants’ sales revenue and the determination of marketing programs, so it is crucial for merchants to grasp the dynamics of the sales of goods in a timely manner. This study explores the e-commerce agricultural products feature data set and data mining by constructing it. Taking this data as the data base, a single model-based demand prediction model is constructed. And train ARIMA, LSTM, Random Forest models, are trained to solve the problem that the arti
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Rane, Nitin Liladhar, Suraj Kumar Mallick, Ömer Kaya, and Jayesh Rane. "Applications of deep learning in healthcare, finance, agriculture, retail, energy, manufacturing, and transportation: A review." In Applied Machine Learning and Deep Learning: Architectures and Techniques. Deep Science Publishing, 2024. http://dx.doi.org/10.70593/978-81-981271-4-3_7.

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Deep Learning (DL), a branch of Artificial Intelligence (AI), has transformed many sectors by allowing groundbreaking progress in automation, predictive analytics, and smart decision-making. In the manufacturing industry, DL algorithms improve quality control by detecting defects in real-time and predicting maintenance needs, ultimately decreasing downtime and operational expenses. The healthcare industry uses DL to enhance patient outcomes and operational efficiency through improved diagnostics, personalized treatment plans, and accelerated drug discovery. Within the finance sector, DL models
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Rane, Nitin Liladhar, and Shweta Shirke. "Digital twin for healthcare, finance, agriculture, retail, manufacturing, energy, and transportation industry 4.0, 5.0, and society 5.0." In Artificial Intelligence and Industry in Society 5.0. Deep Science Publishing, 2024. http://dx.doi.org/10.70593/978-81-981271-1-2_3.

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Digital twins, virtual replicas of physical systems, combine real-time data, advanced analytics led by Artificial Intelligence (AI) to improve operations, forecast failure and create new products. Digital twins add value to manufacturing processes using smart automation in the industry 4.0 era and this aids predictive maintenance, real-time monitoring, and integration of Internet of things (IoT) devices. This results in more throughput, less down time and saves a bundle of money. Automation is easing transitions into Industry 5.0, where digital twins will further human-machine collaboration th
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Mysevych, Mykola. "THE FORMATION OF AN EFFECTIVE SYSTEM OF MANAGEMENT FOR THE COMPETITIVENESS OF AGRICULTURAL PRODUCTS OF HIGH-VALUE AGRICULTURAL ENTERPRISES." In Transformation of economy, finance and management in modern conditions:. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-220-3-21.

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The article examines the factors that affect the formation of an effective system of management for the competitiveness of agricultural products of high-value agricultural enterprises of Zhytomyr region, in particular price, qualitative parameters, cost, profitability. The features of competitive environment of highly commodity agrarian enterprises of Zhytomyr Region have been investigated. The economic evaluation of the resource potential and the economic efficiency of the agrarian production of highly commodity agrarian enterprises have been done and analyzed. The main factors influencing th
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Bahorka, Mariia, and Nataliy Yurchenko. "DEVELOPMENT OF ADAPTATION OF AGRICULTURAL ENTERPRISES TO CHANGES IN THE COMPETITIVE MARKETING ENVIRONMENT." In Theoretical and practical aspects of science development. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-355-2-1.

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The purpose of the article is the generalisation of research methods in the marketing information system of the environment, the practical implementation of the procedure of researching the competitive environment of an agricultural enterprise, and the development of ways of adapting agricultural enterprises to changes in the competitive marketing environment. The article summarises the main methods of marketing research based on information analysis and forecasting. Results. This paper summarises the research methods in the marketing information system of the environment, presents the procedu
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Bushman, Richard Lyman. "American Agriculture, 1800–1862." In The American Farmer in the Eighteenth Century. Yale University Press, 2018. http://dx.doi.org/10.12987/yale/9780300226737.003.0014.

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After 1800, the primary market for agricultural products shifted from overseas ports to cities in the United States. Growing urban populations created an ever-increasing demand, not only for standard products like breadstuffs and meat, but for new ones like pears and brooms. To take advantage of this opportunity, farmers increased their efficiency by employing machinery and cropping their fields continuously rather than letting them go to long fallow. This created a need for fertilizers to restore the soil and permanent fences for fields that remained in use. Under the influence of city values
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Conference papers on the topic "Agricultural machinery sales forecasting"

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Uetake, Toshifumi, Xin Ma, Mitsuyoshi Horikawa, Takeo Takeno, and Mitsumasa Sugawara. "Development of sales management support system for agricultural produce using sales forecasting model." In Industrial Engineering (CIE-40). IEEE, 2010. http://dx.doi.org/10.1109/iccie.2010.5668267.

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Qin, Xiaoshun, Leon Pretorius, and Dongdong Jiang. "A Review of After-Sales Service Practice of Chinese Agricultural Machinery in Cross-Border E-Commerce in Africa." In 2019 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2019. http://dx.doi.org/10.23919/picmet.2019.8893835.

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Sirotin, P. V., V. A. Pigenko, and M. Yu Vodolazko. "REGULARITIES OF CHANGES IN THE TECHNICAL APPEARANCE OF AGRO-MACHINES AND PROSPECTS FOR THEIR DEVELOPMENT." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. ООО «ДГТУ-Принт» Адрес полиграфического предприятия: 344003, г. Ростов-на-Дону, пл. Гагарина,1., 2024. http://dx.doi.org/10.23947/interagro.2024.127-129.

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The work is devoted to the analysis of the technical evolution and forecasting of the technical appearance of agricultural self-propelled combines and tractors. The patterns of the stages of development of these machines are revealed. The actual change, significance and prediction of the main defining parameters of basic and high-performance machines are presented. Options for meeting the needs of basic agricultural machinery in modern conditions of agricultural engineering are considered. The necessity of revising the approaches of designing agricultural machinery and developing a new concept
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Mađarac, Sandra Mrvica, Marko Eljuga, and Zvonimir Filipović. "THE IMPACT OF THE PANDEMIC CRISIS ON SALES BUSINESSES – CASE STUDIES." In 6th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eraz.2020.21.

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The entire world is facing with the impact and consequences of the COVID 19 pandemic, what is reflected in various spheres of social life. In the conditions of the crisis management, companies are forced to adapt to the new situation in order to survive on the market. Sales companies have had to make changes in their former business; namely in their organization, logistics, retail supply channels that are now oriented towards the online sales without contact when delivering to customers. The Civil Protection Headquarters of the Republic of Croatia has brought a Decision by which are regulated
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Bohdanov, Oleksandr, Serhii Piechka, and Dmitrii Litvinov. "Mechanism of organizational and economic ensuring the implementation of the diversification strategy of agricultural enterprises." In Economic growth in the face of global challenges. Consolidation of national economies and reduction of social inequalities: International Scientific-Practical Conference, XVIIIth edition. National Institute for Economic Research, 2024. https://doi.org/10.36004/nier.cecg.ii.2024.18.17.

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The sphere of agricultural production does not belong to the stable spheres of business. Along with this situation, the pressure on agribusiness is increasing when it comes to finding new, more stable sources of income. One of the possible solutions is the use of a diversification strategy for the development of agrarian enterprises, or rather, the use of diversification opportunities.To ensure an effective diversification strategy, an important role is assigned to marketing activity and its tools, covering all stages of the campaign: studying demand in new markets, forecasting demand, develop
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Mrvica Mađarac, Sandra, Zvonimir Filipović, and Marko Eljuga. "E-COMMERCE IN TRADE COMPANIES DURING THE CONDITIONS OF A PANDEMIC CRISIS: CASE STUDIES." In EU 2021 – The future of the EU in and after the pandemic. Faculty of Law, Josip Juraj Strossmayer University of Osijek, 2021. http://dx.doi.org/10.25234/eclic/18349.

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E-commerce in trade companies during the course of the pandemic crisis has become more than a technology; it includes a whole range of activities such as business processes, business organization, communication, customer relationship management, the E-sales orientation and business progress through the Information and Communication technologies. The consequences of the pandemic COVID-19 are reflected on the various spheres of social life, including the businesses of the companies. New strategies and techniques in business have positively contributed to the survival of trading companies on the
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Ali, Z., A. Azuhan, Y. Lee, M. Abdul Hakim, and N. Taib. "Structured Energy Trending and Performance Assessment for Combustion Engine (SETPACE©) - An Innovative Approach to Decarbonize Combustion Emissions from Upstream Operations." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222373-ms.

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Abstract This paper introduces a state-of-the-art tool known as SETPACE© (Structured Energy Trending and Performance Assessment for Combustion Engine) which has the capability to validate authenticity of fuel gas flow meter reading, improving fuel gas accounting; quantify fuel efficiency (thermal efficiency) degradation by comparing theoretical vs actual fuel consumption for individual machines based on current operating parameters; quantify fuel gas reduction from various improvement opportunities and generate near-to-real fuel gas forecast. PETRONAS Upstream Energy Efficiency (EE) journey, w
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