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Chen, K. C., et Ting‐peng Liang. « PROTRADER : An Expert System for Program Trading ». Managerial Finance 15, no 5 (mai 1989) : 1–6. http://dx.doi.org/10.1108/eb013623.
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Wang, Pin, et Hai Ping Huang. « Empirical Analysis on Expert Tendency System MA, MACD and MTM ». Advanced Materials Research 926-930 (mai 2014) : 3802–5. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3802.
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Ith the method of empirical analysis, based on the huge amounts of real data opened by securities market, through testing the expert system of securities trading software MTM, MACD and MA, with odds, annual returns and net profit margin as management goals, statistical theory as research basis, comparatively analyzed the advantages and disadvantages of the three systems. Except for annual transaction times of number, MA expert system is slightly better than the MACD expert system; while MA expert system, no matter in odds, net profit margin or in annual returns, trading opportunities, is better than that of MTM expert system in all-round way.
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Simutis, Rimvydas, et Saulius Masteika. « Intelligent Stock Trading Systems Using Fuzzy-Neural Networks and Evolutionary Programming Methods ». Solid State Phenomena 97-98 (avril 2004) : 59–64. http://dx.doi.org/10.4028/www.scientific.net/ssp.97-98.59.
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The goal of this study was to analyze the possibilities of fuzzy neural networks and evolutionary programming methods for creating the human skill based stock trading systems. In stock exchange markets, the relationships between market variables are generally too complex to make rightful trading decisions and to earn stabile profits using classical system theory approach. On the other hand, there are a lot of trading experts-practicians that successfully trade stocks and achieve good results in the stock exchange markets. A useful technique for expert-knowledge extraction is the supervised learning methods, where human-experts actions are mapped using fuzzy-neural networks. In this paper we outline this procedure. Also we discuss the possibilities for improvement the proposed human skill based stock trading systems. An efficient biological system evolves slowly over the course of hundreds and housands of generations of individuals. Later generations have more fit and are more capable than earlier ones. Similarly, we have used evolutionary techniques to .evolve. the fuzzy-neural network based stock trading system, which is capable to solve the stock trading task more efficiently. Proposed procedure was tested using virtual trading system that uses historical data from US stock markets. The first results confirmed the good opportunities of the proposed approach.
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Huang, Hai Ping, et Pin Wang. « Analyses on W&R and BIAS Expert System of Stock-Market Software ». Applied Mechanics and Materials 433-435 (octobre 2013) : 2391–94. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.2391.
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According to extensive quantity of public and factual data, this essay does tests on BIAS and W&R expert system of stock-market trading software in simulation experiment method, and compares their strength and weakness in the respect of mathematical statistics theory and Management objects, winning rate, annual return rate and net profit rate. The tests show that BIAS expert system is 2.58 times as good as W&R expert system in the items of annual return rate and net profit rate, 0.26 times in the item of the total number of trading. As a whole, BIAS expert system is superior to W&R expert system.
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Wu, Jimmy Ming-Tai, Lingyun Sun, Gautam Srivastava, Vicente Garcia Diaz et Jerry Chun-Wei Lin. « A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System ». International Journal of Data Warehousing and Mining 18, no 1 (1 janvier 2022) : 1–19. http://dx.doi.org/10.4018/ijdwm.309957.
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This article uses a new convolutional neural network framework, which has good performance for time series feature extraction and stock price prediction. This method is called the stock sequence array convolutional neural network, or SSACNN for short. SSACNN collects data on leading indicators including historical prices and their futures and options, and uses arrays as the input map of the CNN framework. In the financial market, every number has its logic behind it. Leading indicators such as futures and options can reflect changes in many markets, such as the industry's prosperity. Adding the data set of leading indicators can predict the trend of stock prices well. This study takes the stock markets of the United States and Taiwan as the research objects and uses historical data, futures, and options as data sets to predict the stock prices of these two markets, and then uses genetic algorithms to find trading signals, so as to get a stock trading system. The experimental results show that the stock trading system proposed in this research can help investors obtain certain returns.
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Lee, Woonyeol, et Qiang Ma. « Discovering Expert Traders on Social Trading Services ». Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no 2 (20 mars 2018) : 224–35. http://dx.doi.org/10.20965/jaciii.2018.p0224.
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Social trading services, which are financial services connected with social networking services, are currently in the spotlight. Users can follow and automatically imitate expert traders’ trades using social trading services. Finding expert traders who exhibit an exceptional and consistent performance for users to follow is a key challenge in this field. We propose a ranking mechanism with three measures to address this issue: performance, risk, and consistency. We estimated traders’ performance, risk, and consistency levels by comparatively analyzing their trading histories and news data. In addition, we propose a system called Whom to Follow (W2F) to help users discover expert traders by utilizing this ranking mechanism. W2F visualizes the ranking results, and provides feedback functions to help users reach decisions regarding who to follow. We conducted experiments to test and then validate the proposed ranking mechanism in terms of the ranking accuracy, profit, and ranking stability. We also conducted a user experiment to demonstrate the feasibility of W2F.**This paper is an extended version of “Whom to Follow on Social Trading Services? A System to Support Discovering Expert Traders,” 10th Int. Conf. on Digital Information Management (ICDIM) 2015, pp. 188-193.
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Huang, Hai Ping, et Pin Wang. « Discussions on Securities Software Expert System MA and RSI ». Advanced Materials Research 798-799 (septembre 2013) : 757–60. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.757.
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Based on the public and actual massive data of securities market, through testing the MA and RSI expert system of securities trading software by simulation experiment method, with the winning percentage, the annual rate of return, and the net profit margin as the management objectives, and with the theory of mathematical statistics as the research basis, the article carried out the comparative analysis of strength and weakness of these two systems. Except the annual transaction number, RSI expert system is comprehensively superior to MA expert system.
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Simutis, R. « Human Skill Based Expert System for a Stock Trading Process ». IFAC Proceedings Volumes 31, no 24 (septembre 1998) : 54–58. http://dx.doi.org/10.1016/s1474-6670(17)38506-3.
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Tong-Seng, Quah, Chew-Lim Tan, Hoon-Heng Teh et Bobby S. Sriniivasan. « Utilizing a neural logic expert system in currency option trading ». Expert Systems with Applications 9, no 2 (janvier 1995) : 213–22. http://dx.doi.org/10.1016/0957-4174(94)00063-2.
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Huang, Xiao Ming, Hai Ping Huang et Pin Wang. « Discussion on the Anti-Trend Expert Systems of RSI, BIAS, KDJ and W&R ». Advanced Materials Research 926-930 (mai 2014) : 3786–89. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3786.
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Based on mass real data with the method of statistical experiment, this paper attempts to take the winning rate, annual rate of return and net profit margin as the management objectives for the comparative analysis on the strengths and weaknesses of the four systems of RSI, BIAS, KDJ and W&R among the securities trading software through testing, the results of which show that RSI expert system is the best one with its overall testing results superior to other anti-trend expert systems (MA, MACD, MTM). So it is suggested that investors should choose only RSI expert system.
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Lee, Kun Chang, et Sangjae Lee. « A causal knowledge-based expert system for planning an Internet-based stock trading system ». Expert Systems with Applications 39, no 10 (août 2012) : 8626–35. http://dx.doi.org/10.1016/j.eswa.2012.01.191.
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Karpenko, M., O. Shtelma et P. Karas. « USE OF EXPERT ASSESSMENT METHODS FOR DETERMINATION OF EFFICIENCY INDICATORS OF A TRADING ENTERPRISE ». Municipal economy of cities 1, no 168 (25 mars 2022) : 7–11. http://dx.doi.org/10.33042/2522-1809-2022-1-168-7-11.
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The article considers the use of expert methods to study the degree of influence of turnover on the efficiency of the trading company. A group of experts who took part in the relevant survey was involved in conducting the research. Technically, the survey was organized through a number of Google forms with further processing of results in the environment of MS Office 365. The following parameters were chosen for the research: profitability of maintenance, internal rate of return (IRR), response sensitivity (IRR), payback period, turnover ratio, minimization of inventories. The survey was conducted according to the Delphi method, ie it was iterative. Initially, the experts anonymously filled in the data on the feasibility of using certain indicators of turnover as a criterion for assessing the effectiveness of the trading company, using a single system of scoring. After statistical processing of the results and determination of the concordance coefficient, the results of the survey were provided to the expert group for review and, after which the next stage of the survey was conducted. This process was repeated until the level of consistency reached the desired level. As a result of the research, a decision was obtained with a coefficient of consistency of 0.964, according to which the three most important indicators were identified, namely: rating "VSD response sensitivity" (rating 1), "internal rate of return, %" (rating 2), profitability THAT,% ”(rating 3). The described approach was used in the design of a component of the existing information system, which is used in a number of trading companies and proved its effectiveness.
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Vezeris, Dimitrios, Themistoklis Kyrgos et Christos Schinas. « Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System ». Journal of Risk and Financial Management 11, no 3 (19 septembre 2018) : 56. http://dx.doi.org/10.3390/jrfm11030056.
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A lot of strategies for Take Profit and Stop Loss functionalities have been propounded and scrutinized over the years. In this paper, we examine various strategies added to a simple MACD automated trading system and used on selected assets from Forex, Metals, Energy, and Cryptocurrencies categories and afterwards, we compare and contrast their results. We conclude that Take Profit strategies based on faster take profit signals on MACD are not better than a simple MACD strategy and of the different Stop Loss strategies based on ATR, the sliding and variable ATR window has the best results for a period of 12 and a multiplier of 6. For the first time, to the best of our knowledge, we implement a combination of an adaptive MACD Expert Advisor that uses back-tested optimized parameters per asset with price levels defined by the ATR indicator, used to set limits for Stop Loss.
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Yang, Yeh-Cheng, Wen-Sheng Shieh et Chun-Yueh Lin. « Applying the Fuzzy BWM to Determine the Cryptocurrency Trading System under Uncertain Decision Process ». Axioms 12, no 2 (16 février 2023) : 209. http://dx.doi.org/10.3390/axioms12020209.
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The crypto and digital assets ecosystems have attracted investment, regulators, and speculators to their environment. As the blockchain-based framework can reduce transaction costs, generate distributed trust, and enable decentralized platforms, it has become a potential new base for decentralized business models. Previous studies have highlighted the advantages and drawbacks of each platform, such as interest rates, cost concerns, transparency issues, hacking issues, and hazards. Consequently, it is challenging for investors to evaluate the cryptocurrency trading system which determines the optimum exchanges and crucial aspects. Therefore, in order to rank the optimal digital token trading system, this paper develops an evaluation architecture to determine the various token trading systems. The developed architecture integrates fuzzy theory and the best-worst method (BWM) into the decision-making process to assess decision behaviors regarding preference for digital token trading systems in investors in Taiwan. First, this work establishes the views and parameters by modifying the Delphi method based on a literature review and survey. Second, the fuzzy-BWM is applied to obtain the fuzzy weights of the views and parameters. Then, defuzzification and BWM are used to rank the optimal alternatives of the digital token trading systems for investors. The results indicate that the optimal digital token trading system is the decentralized platform, and the critical parameters are gas fees, interest rates, and the mechanism of savings under fuzzy uncertain scenarios. This means that when considering the uncertain and ambiguous characteristics of the expert decision process in digital token trading systems, the evaluation is decentralized and the gas fees are the most important parameter in the digital token investment platform. Academically, the fuzzy BWM-based decision-making architecture can provide corporations and investors with valuable guidance to rank the optimal digital token trading systems based on fuzzy uncertain scenarios. Commercially, the proposed architecture could provide corporations and investors with a useful model to measure the optimal digital token trading system.
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Loh, Leonard Kin Yung, Hee Kheng Kueh, Nirav Janak Parikh, Harry Chan, Nicholas Jun Hui Ho et Matthew Chin Heng Chua. « An Ensembling Architecture Incorporating Machine Learning Models and Genetic Algorithm Optimization for Forex Trading ». FinTech 1, no 2 (27 mars 2022) : 100–124. http://dx.doi.org/10.3390/fintech1020008.
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Algorithmic trading has become the standard in the financial market. Traditionally, most algorithms have relied on rule-based expert systems which are a set of complex if/then rules that need to be updated manually to changing market conditions. Machine learning (ML) is the natural next step in algorithmic trading because it can directly learn market patterns and behaviors from historical trading data and factor this into trading decisions. In this paper, a complete end-to-end system is proposed for automated low-frequency quantitative trading in the foreign exchange (Forex) markets. The system utilizes several State of the Art (SOTA) machine learning strategies that are combined under an ensemble model to derive the market signal for trading. Genetic Algorithm (GA) is used to optimize the strategies for maximizing profits. The system also includes a money management strategy to mitigate risk and a back-testing framework to evaluate system performance. The models were trained on EUR–USD pair Forex data from Jan 2006 to Dec 2019, and subsequently evaluated on unseen samples from Jan 2020 to Dec 2020. The system performance is promising under ideal conditions. The ensemble model achieved about 10% nett P&L with −0.7% drawdown level based on 2020 trading data. Further work is required to calibrate trading costs & execution slippage in real market conditions. It is concluded that with the increased market volatility due to the global pandemic, the momentum behind machine learning algorithms that can adapt to a changing market environment will become even stronger.
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Ramamurthi, K., et A. M. Agogino. « Real-Time Expert System for Fault-Tolerant Supervisory Control ». Journal of Dynamic Systems, Measurement, and Control 115, no 2A (1 juin 1993) : 219–27. http://dx.doi.org/10.1115/1.2899025.
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Many mechanical systems are sufficiently complex that it is impractical to describe their dynamics by exact mathematical models. In the presence of such modeling uncertainties, advanced controllers like adaptive controllers perform better than linear feedback controllers since they actively reduce the uncertainty by online parameter estimation. Unfortunately, the advanced control strategies, due to their lack of robustness, can become unstable in the presence of unpredictable external disturbances, and hence, there exists a need for a fault-tolerant approach to preserve the overall system integrity even at the cost of design performance. This motivated the research, presented in this paper, to investigate the suitability of the IDES (Influence Diagram Based Expert System) as an expert supervisory controller to predict incipient instability, a significant failure mode, and take corrective action in real-time when closed loop stability appears to be in danger. The expert supervisory control scheme is demonstrated on a model-referenced adaptive controller as applied to a robotic manipulator. The real-time expert system, with the information from sensors, dynamically optimizes the cost of control and as a result chooses between a robust auxiliary controller and the nonrobust adaptive controller depending on inferences made from the observable variables. IDES, as a real-time expert supervisory controller, preserves the stability of the system even under potentially destabilizing unexpected disturbances, exhibiting on demand a fault-tolerant behavior by trading design performance for overall system integrity. The results indicate the potential for influence diagram expert systems in monitoring and controlling mechanical systems where exact mathematical models are difficult or not practical to obtain.
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Meng, Li, et Yang Sun. « Research on Automated Forex Trading System Based on BP Neural Network ». Advanced Materials Research 753-755 (août 2013) : 3080–83. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.3080.
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This paper reports on an expert advisor for forex trading based on Back Propagation Neural Network (BPNN) in MetaTrader4 platform. A single hidden layer feedforward network was established for foreign exchange rate prediction. Trading rules based on the prediction results was designed and realized. Finally, we optimized the parameters according to the profitability performed on EUR/USD, GBP/USD currency pairs separately. The optimized results are able to achieve good results in the training series. In the test series, the strategies are consistently profitable for at least the first twenty days. It is concluded that the BPNN based model do have the ability to make profits from the experimental currency pairs for the period investigated.
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Mazaraki, Anatolii, et Tetiana Zubko. « Stability of production and trading companies considering their economic security ». Problems and Perspectives in Management 20, no 1 (31 mars 2022) : 445–58. http://dx.doi.org/10.21511/ppm.20(1).2022.36.
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The economic security of any company depends on its solvency and financial stability. It is also affected by uneven economic development due to the global financial crises, the impact of the COVID-19 pandemic, increased competition from industrial and commercial companies, and military conflicts. Thus, it is necessary to assess the stability of companies as a basis for their economic security, taking into account the indicators of solvency and financial stability. The paper used systematization, comparative analysis, ranking, expert interview (in-depth interview), and Fishburne’s method. First, the scheme of ensuring the financial stability and solvency of production and trading companies is proposed. Second, the evaluation indicators system is developed, and the rating scale of stability of production and trading companies is determined. According to the results, evaluation indicators were formed; some were calculated according to companies’ financial statements and management accounting. Finally, to increase the efficiency of technical and economic parameters, areas for regulating the activities of companies and ensuring their stability were identified. According to an in-depth interview with experts, the sampled company received 69 points and corresponded to a sufficient level of stability. Factors that negatively affected the stability of companies’ activities include quality indicators, namely compliance with standards, company image, digitalization, compliance with corporate culture, and personnel management policy.
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Wang, Pin, et Hai Ping Huang. « On the W&R and RSI Expert Systems of Securities Software ». Applied Mechanics and Materials 433-435 (octobre 2013) : 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1685.
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Using the method of statistical experiment and based on real and open data of securities, the research conducted a test to the W&R and RSI expert system of securities trading software. Taking annual net profit margin, rate of return, and win rate as the management objectives, the research compared and analyzed the two similar reversal trend indicators on the basis of mathematic statistics theories, and achieved results that the annual rate of return and net profit margin of the RSI expert system are superior to that of the W&R expert system for 4.72 times, and that the annual number of trades of RSI is superior to that of W&R for 0.893 times.
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Maknickienė, Nijolė, et Algirdas Maknickas. « FINANCIAL MARKET PREDICTION SYSTEM WITH EVOLINO NEURAL NETWORK AND DELPHI METHOD ». Journal of Business Economics and Management 14, no 2 (7 mai 2013) : 403–13. http://dx.doi.org/10.3846/16111699.2012.729532.
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Use of artificial intelligence systems in forecasting financial markets requires a reliable and simple model that would ensure profitable growth. The model presented in the paper combines Evolino recurrent neural networks with orthogonal data inputs and the Delphi expert evaluation method for its investment portfolio decision making process. A statistical study demonstrates the reliability of the model and describes its accuracy. Capabilities of the model are demonstrated using a trading simulation.
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Hirchoua, Badr, Imadeddine Mountasser, Brahim Ouhbi et Bouchra Frikh. « Evolutionary DRL Environment : Transfer Learning-Based Genetic Algorithm ». Journal of Data Intelligence 3, no 3 (août 2022) : 333–49. http://dx.doi.org/10.26421/jdi3.3-3.
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Stock markets trading has risen as a critical challenge for artificial intelligence research. The way stock markets are moving and changing pushes researchers to find more sophisticated algorithms and strategies to anticipate the market movement and changes. From the artificial intelligence perspective, such environments require artificial agents to coordinate and transfer their best experience through different generations of agents. However, the existing agents are trained using hand-crafted expert features and expert capabilities. Notwithstanding these refinements, no previous single system has come near to dominating the trading environment. We address the algorithmic trading problem utilising an evolutive learning method. Precisely, we train a multi-agent reinforcement learning algorithm that uses only self trades generated by different generations of agents. The evolution-based genetic algorithm operates as an evolutive environment that continually adapts the agent's internal strategies and tactics. Also, it pushes the system forward to generate creative behaviours for the next generations. Additionally, a deep recurrent neural network drives the mutation mechanism through the attention that dynamically encodes the memory mutation size. The winner, which is the last agent, achieved promising performances and surpassed traditional and intelligent baselines.
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Dymova, L., P. Sevastianov et P. Bartosiewicz. « A new approach to the rule-base evidential reasoning : Stock trading expert system application ». Expert Systems with Applications 37, no 8 (août 2010) : 5564–76. http://dx.doi.org/10.1016/j.eswa.2010.02.056.
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Satibi, Satibi, Catur Edi Widodo et Farikhin Farikhin. « Expert Advisor (EA) Evaluation System Using Web-based ELECTRE Method in Foreign Exchange (Forex) Market ». E3S Web of Conferences 31 (2018) : 10001. http://dx.doi.org/10.1051/e3sconf/20183110001.
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This research aims to optimize forex trading profit automatically using EA but its still keep considering accuracy and drawdown levels. The evaluation system will classify EA performance based on trading market sessions (Sydney, Tokyo, London and New York) to determine the right EA to be used in certain market sessions. This evaluation system is a web-based ELECTRE methods that interact in real-time with EA through web service and are able to present real-time charts performance dashboard using web socket protocol communications. Web applications are programmed using NodeJs. In the testing period, all EAs had been simulated 24 hours in all market sessions for three months, the best EA is valued by its profit, accuracy and drawdown criteria that calculated using web-based ELECTRE method. The ideas of this research are to compare the best EA on testing period with collaboration performances of each best classified EA by market sessions. This research uses three months historical data of EUR/USD as testing period and other 3 months as validation period. As a result, performance of collaboration four best EA classified by market sessions can increase profits percentage consistently in testing and validation periods and keep securing accuracy and drawdown levels.
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Borman, Rohmat Indra, Riduwan Napianto, Putri Nurlandari et Zaenal Abidin. « IMPLEMENTASI CERTAINTY FACTOR DALAM MENGATASI KETIDAKPASTIAN PADA SISTEM PAKAR DIAGNOSA PENYAKIT KUDA LAUT ». JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no 1 (3 décembre 2020) : 1–8. http://dx.doi.org/10.33330/jurteksi.v7i1.602.
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Abstract: In analyzing information, it is possible for experts to disclose information with uncertain recognition. For example, with the use of consent, the use is large and almost certain. In overcoming uncertainty in the system, experts can use the certainty factor (CF) method. This method can overcome reality with a level of certainty based on facts so that it can explain the confidence of an expert. CF can be applied in an expert system to build a program that can diagnose a set of rules. In this study CF was implemented in an expert system diagnosing seahorse disease. Sea horses have a high trading value, both in living and dead conditions. Therefore, sea horses, including animals that are protected by population. In this study, developing an expert system application that can diagnose seahorse disease can help determine the level of trust of experts and users who use related cases. Based on the test results, it shows that CF is able to cope well and has a high level of accuracy. Keywords: certainty factor; expert system; seahorses. Abstrak: Informasi yang dihasilkan dalam diagnosa dimungkinkan menggunakan ungkapan ketidakpastian. Misalkan dengan penggunaan pernyataan mungkin (maybe), kemungkinan besar (probably not), hampir pasti (almost certainty) dan pernyataan tidak pasti lainya. Untuk mengatasi ketidak pastian pada sistem pakar dapat menerapkan pendekatan certainty factor (CF). Metode ini mampu mengatasi ketidakpastian dengan mendefinisikan tingkat kepastian berdasarkan fakta sehingga dapat memaparkan keyakinan seorang pakar. CF dapat diterapkan dalam sistem pakar untuk membangun suatu program yang dapat mendiagnosa berdasarkan suatu set aturan. Pada penelitian ini CF diimplementasikan pada sistem pakar diagnose penyakit kuda laut. Kuda laut memiliki nilai jual perdagangan yang tinggi, baik dalam keadaan hidup maupun mati. Oleh sebab itu kuda laut termasuk hewan yang dilindungi populasinya. Penelitian yang dilakukan menghasilkan sistem pakar yang mampu mendiagnosis serta memberikan solusi untuk penyakit kuda laut dengan menggunakan pendekatan CF dalam penanganan ketidakpastian. Berdasarkan hasil pengujian menunjukkan CF mampu mengatasi ketidakpastian dengan baik dan memiliki tingkat akurasi yang tinggi. Kata kunci: certainty factor; sistem pakar; kuda laut
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Leem, JoonBum, et Ha Young Kim. « Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning ». PLOS ONE 15, no 7 (27 juillet 2020) : e0236178. http://dx.doi.org/10.1371/journal.pone.0236178.
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Tarabukina, S. M., et L. V. Moshkovа. « Risk management role in system of Republic Sakha (Yakutia) medicinal maintenance ». Bulletin of Siberian Medicine 10, no 5 (28 octobre 2011) : 179–84. http://dx.doi.org/10.20538/1682-0363-2011-5-179-184.
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With application of expert estimations the most significant factors causing risk for medicinal maintenance of the population, living in certain territorial zones Republics Sakhas (Yakutia) are revealed. The complex of actions for decrease and management of risks in system of medicinal maintenance of republic are scientifically proved and developed. The differentiated approach to formation of trading extra charges on preparations is offered. The design procedure of the size of subventions is developed at preferential medicinal maintenance of the citizens living in remote and sparsely populated areas of republic.
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Davison, Claire, Peyman Akhavan, Tony Jan, Neda Azizi, Somayeh Fathollahi, Nastaran Taheri, Omid Haass et Mukesh Prasad. « Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models ». Sustainability 14, no 10 (11 mai 2022) : 5822. http://dx.doi.org/10.3390/su14105822.
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This study presents an analytic model to support the general public in evaluating digital currency exchange platforms. Advances in technologies have offered profitable opportunities, but the general public has difficulty accessing appropriate information on digital currency exchange platforms to facilitate their investments and trading. This study aims to provide a decision support system using analytic models that will guide the public in deciding the appropriate digital currency exchange platform for trading and investment. The overarching objective is to support the public in embracing the new era of a dependable, trustworthy, and sustainable digital society. Particularly, this study offers an analytics model that compares numerous well-known digital currency exchange platforms based on the opinions of 34 human expert members on six main criteria to identify the most suitable platform. In this study, the analytic hierarchy process approach, which is a multiple-criteria decision-making method, and Expert Choice software were used for decision support. Using pairwise comparisons of exchanges with respect to the criteria in the software, the weight of each exchange was determined, and these weights became the basis for prioritizing the exchange platform. This study provides valuable insight into how an analytics-driven expert system can support the public in selecting their digital currency exchange platform. This work is an integral part of an effort to help disruptive digital technology become widely accepted by the general public.
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Dymova, Ludmila, Pavel Sevastjanov et Krzysztof Kaczmarek. « A Forex trading expert system based on a new approach to the rule-base evidential reasoning ». Expert Systems with Applications 51 (juin 2016) : 1–13. http://dx.doi.org/10.1016/j.eswa.2015.12.028.
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Dymova, L., P. Sevastianov et K. Kaczmarek. « A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes ». Expert Systems with Applications 39, no 8 (juin 2012) : 7150–57. http://dx.doi.org/10.1016/j.eswa.2012.01.077.
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Saragih, Yasmirah Mandasari, Dahris Siregar, Arianus Halawa, Adilman Reliance Lawolo, Arianto Lase, Ardiman Waruwu, Heronimus Halawa et Yuniel Putra Hulu. « Legal Protection for Consumers in the Implementation of Electronic Trading Contracts ». International Journal of Community Service (IJCS) 1, no 2 (15 décembre 2022) : 214–23. http://dx.doi.org/10.55299/ijcs.v1i2.258.
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Destination from study this for knowing like what procedure transact sell buy in maintenance system electronic through online application and aim also for knowing like what analysis protection law moment maintenance transaction sell buy via the internet. Method approach taken is method approach normative juridical emphasis on aspect regulation source legislation the data from the secondary data it consists of from ingredient primary laws , materials law secondary and ingredient law tertiary with method data collection with through method studies library (library research ). Data analysis was performed start from hierarchy regulation legislation and opinion para expert . Results study this form how procedure transaction electronic through application topedia , open lapak , shoppe and so on . Source law contract electronics , rights and obligation perpetrator effort and buyers , developments transaction electronic as well as settlement dispute .
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Bizhoev, B. M. « Digital Institutional Transformation of Electronic Trading Platforms in the Field of Public Procurement of the Russian Federation ». MIR (Modernization. Innovation. Research) 12, no 4 (14 janvier 2022) : 416–33. http://dx.doi.org/10.18184/2079-4665.2021.12.4.416-433.
Texte intégralRésumé :
Purpose: the aim of the article is to calculate the reduction in transaction costs when transferring purchases to electronic format, as well as determine the potential for digitizing the consideration of all requirements for procurement participants.Methods: the study is based on the conceptual provisions of the institutional economic theory, the use of the system approach methodology, the use of survey research methods, and the generalization of expert assessments. The development of the proposed topic is also based on the use of methods of economic and statistical analysis, scientifc abstraction, comparison and scientifc generalizations.Results: as a result of a detailed analysis, the digital transformation electronic trading platforms into the digital trading platforms was substantiated. The paper also shows the role of electronization and digitalization in reducing transaction costs and time spent on customers. It was revealed that the transfer of authority to the electronic trading platforms not only excludes the possibility of errors, unfair and opportunistic behavior of customers, and as a result – the imposition of fnes, but also reduces the time spent on procurement. The main approaches to improving the contract system, building its digital ecosystem, where the necessary actions are performed by the software and hardware complex, and the contract manager only "accompanies" the purchase, are proposed. The article presents the evolution of the use of digital technologies and the corresponding legal regulation in Russia.Conclusions and Relevance: the use of digital technologies in public procurement is becoming a factor causing changes in the contractual system. The electronic form of trading has brought a new reality, opportunities for digital transformation are opening up. The use of automated counterparty verifcation technologies in the activities of electronic trading platforms is a potential factor in reducing transaction costs. In the future, it is possible to use digital technology “big data”, which helps to identify and categorize the necessary information regarding the availability of experience in the execution of similar contracts.
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Kosovic, Branko, Sue Ellen Haupt, Daniel Adriaansen, Stefano Alessandrini, Gerry Wiener, Luca Delle Monache, Yubao Liu et al. « A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction ». Energies 13, no 6 (16 mars 2020) : 1372. http://dx.doi.org/10.3390/en13061372.
Texte intégralRésumé :
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical weather prediction and machine-learning methods. While the original system was designed with the primary focus on day-ahead power prediction in support of power trading, the enhanced system provides short-term forecasting for unit commitment and economic dispatch, uncertainty quantification in wind speed prediction with probabilistic forecasting, and prediction of extreme events such as icing. Furthermore, the empirical power conversion machine-learning algorithms now use a quantile approach to data quality control that has improved the accuracy of the methods. Forecast uncertainty is quantified using an analog ensemble approach. Two methods of providing short-range ramp forecasts are blended: the variational doppler radar analysis system and an observation-based expert system. Extreme events, specifically changes in wind power due to high winds and icing, are now forecasted by combining numerical weather prediction and a fuzzy logic artificial intelligence system. These systems and their recent advances are described and assessed.
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Antonenkov, D. V., V. Z. Manusov, P. V. Matrenin et V. R. Kiushkina. « Adaptive optimal control of prosumer energy storage system with renewable energy sources ». Omsk Scientific Bulletin, no 173 (2020) : 50–56. http://dx.doi.org/10.25206/1813-8225-2020-173-50-56.
Texte intégralRésumé :
The prosumer can use energy storage to enhance the benefits of electricity trading by transferring buy and sell points. Improving energy efficiency is not considered from the standpoint of the entire system, but from an individual prosumer and in conditions of difficult-to-predict wind power generation. This work aims to optimize the prosumer’s electrical complex by developing a method for adapting the base of heuristic rules of the prosumer control to its parameters and climatic conditions. A method for adaptation control rules using swarm intelligence algorithms is proposed. The computer simulation has shown that the use of swarm algorithms makes it possible to increase the economic efficiency of managing the prosumer’s energy storage system by 2–4 times compared to the control rules manually constructed by an expert. It is shown that the proposed method makes it possible to automate the construction of the base of control rules
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Sipayung, Mei Linda, et Jinni Ropi Girsang. « STRATEGI PENGEMBANGAN DAN PEMASARAN KUBIS (BRASSICA OLERACEAE) (STUDI KASUS : NAGORI PURBATUA BARU, KECAMATAN SILIMAKUTA, KABUPATEN SIMALUNGUN, PROVINSI SUMATERA UTARA) ». Jurnal Darma Agung 27, no 3 (11 décembre 2019) : 1191. http://dx.doi.org/10.46930/ojsuda.v27i3.378.
Texte intégralRésumé :
This study aimed at determining: (1) the cabbage farming development strategy in Nagori Purbatua Baru, Silimakuta District, Simalungun Regency, (2) the cabbage marketing channel in Nagori Purbatua Baru, Silimakuta District, Simalungun Regency and (3) the efficiency of cabbage marketing in Nagori Purbatua Baru, Silimakuta District, Simalungun Regency. The study was conducted in Nagori Purbatua Baru, Silimakuta District, Simalungun Regency, North Sumatra Province. The location selection was done purposively with the consideration that the location was one of the centers of cabbage vegetable production in Simalungun Regency. The sample was a portion or representative of the population being studied. The sample taking carried out by purposive technique or deliberately in determining the expert respondents consisting of 5 or more persons namely: cabbage farmers, collectors, large traders, students, government agencies and consumers. The analysis was done by using SWOT analysis and descriptive method. The results showed that the cabbage development and marketing strategy in the study area could be carried out with the W-O (Weakness-Opportunities) strategy, namely using high production to meet increasing market demand. Another alternative strategy that was also very well done was the S-T (Strength-Threats) Strategy, namely the use of regional conditions to increase production, was increasingly high. There are two cabbage trading channels in the study area, namely: channel (1), producer collecting trader retailer end consumer and channel (2) producer collecting trader à large trader retailer final consumer. There is no difference in the functions of each trading institution involved in cabbage trading in each channel in the study area. There were differences in trading margins (marketing margin, price spread, and large share margins of each cabbage trading agency in the study area. Share margins received by producers (farmers) were smaller than those of traders. Cabbage trading system efficiency levels in the study area were high , where channel I was more efficient than channel II.
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Mishra, Sthitprajna, Bibhu Prasad Ganthia, Abel Sridharan, P. Rajakumar, D. Padmapriya et S. Kaliappan. « Optimization of Load Forecasting in Smartgrid using Artificial Neural Network based NFTOOL and NNTOOL ». Journal of Physics : Conference Series 2161, no 1 (1 janvier 2022) : 012068. http://dx.doi.org/10.1088/1742-6596/2161/1/012068.
Texte intégralRésumé :
Abstract The motivation behind the research is the requirement of error-free load prediction for the power industries in India to assist the planners for making important decisions on unit commitments, energy trading, system security & reliability and optimal reserve capacity. The objective is to produce a desktop version of personal computer based complete expert system which can be used to forecast the future load of a smart grid. Using MATLAB, we can provide adequate user interfaces in graphical user interfaces. This paper devotes study of load forecasting in smart grid, detailed study of architecture and configuration of Artificial Neural Network(ANN), Mathematical modeling and implementation of ANN using MATLAB and Detailed study of load forecasting using back propagation algorithm.
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Brown, Andrew, et Robert M. Stern. « Achieving Fairness in the Doha Development Round ». Global Economy Journal 5, no 4 (7 décembre 2005) : 1850071. http://dx.doi.org/10.2202/1524-5861.1158.
Texte intégralRésumé :
The question addressed in this article is how the fairness of the global trading system as embodied in the GATT/WTO is to be assessed. Opinions about what constitutes fairness differ widely, and there is surely no incontrovertible yardstick. But it should be possible to be clearer about the criteria that are appropriate and what they mean in more operational terms. Why fairness is a condition of the agreements among governments that form the global trading system is first discussed. It is then suggested that fairness can best be considered within the framework of two concepts: equality of opportunity and distributive equity. It is argued that the criterion of maximum economic efficiency is not a primary yardstick of fairness, and though it is relevant in choosing among alternative ways of realizing fairness, it is not without its own limitations. There is a discussion of what equality of opportunity and distributive equity mean when applied to the commitments that governments make in the global trading system. For this purpose, these commitments are divided into four categories: those relating directly to market access; those concerning supporting rules designed to prevent cheating in market access commitments or to facilitate trade flows; those relating to procedures for the settlement of disputes or the use of trade remedy measures; and those relating to governance of the system. Finally, some comments are offered about fairness in the Doha Development Round, focusing in particular on the central issue of market access. Andrew G. Brown was formerly Director in the Department of Economic and Social Affairs at the United Nations. He was responsible for analysis of international economic and social issues, and for staff support of UN committees and expert groups. He served earlier as chief economist or economic advisor in governments of developing countries. He is the author of History of Multilateral Trade Cooperation since 1850 and co-author of papers on the global trading system. Robert M. Stern is Professor of Economics and Public Policy (Emeritus) in the Department of Economics and Gerald R. Ford School of Public Policy, University of Michigan.
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NECHYPORUK, Nataliia. « Strategic management accounting in the system of information space of the enterprise ». Economics. Finances. Law, no 4/3 (29 avril 2021) : 21–23. http://dx.doi.org/10.37634/efp.2021.4(3).4.
Texte intégralRésumé :
The paper deals with the peculiarities of the formation of strategic management accounting as accounting and analytical support for adopting strategic managerial decisions. The change in economic realities naturally requires the introduction of modern management technologies that it is impossible without the development of relevant accounting and analytical provision, including focusing, processing and submission of accounting and analytical information to adopt strategic decisions. The purpose of the paper is to determine the role of strategic management accounting in the enterprise information space. The problems of the functioning of strategic management accounting in Ukrainian enterprises are determined: the delimitation of analytical and accounting functions, a one-sided vision of the problem of the methodology of strategic management accounting only as a set of accounting procedures, beyond the connection with analytical functions leads to a decrease in the effectiveness of strategic management accounting and separation from intra-production management. Expert analysis is carried out in questioning two groups of respondents (managers and stakeholders) on an existing system of strategic management accounting as an information platform of trading enterprises. The results of the study confirm that in most such companies, there is a lack of or insatiable use of strategic management accounting as an information platform for strategic management. The development of a strategic approach in accounting practice determines the expansion of the accounting, analytical and control instrument for the formation of information when making strategic management decisions. The components of the management function are analyzed: strategic analysis, strategic monitoring, strategic control. The prospects for further research are determined: the choice of methods and tools for strategic management accounting in the management system of a trading enterprise, especially for the needs of strategic analysis, strategic monitoring and control.
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Albert William, M. Vijay, M. Rajeev Kumar, K. Bhaskar et K. Durairaj. « Kalman Filter Algorithm Based Optimal Power Dispatch In Multinode System ». International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no 4 (1 décembre 2017) : 1863. http://dx.doi.org/10.11591/ijpeds.v8.i4.pp1863-1867.
Texte intégralRésumé :
Deregulation can be characterized as the way toward evacuating the limitations and controls to accomplish focused discount costs without trading off sufficiency, framework dependability and security. In deregulation prepare there exist no. of purchasers and merchants. Where the offering and purchasing of force happen through various components is called control advertise. The utilization of the hereditary calculation to take care of the ideal power dispatch issue for a multi-hub sell off the market is proposed. The ideal power dispatch issue is a non-straight streamlining issue with a few requirements. The target of the proposed hereditary calculation is to amplify the aggregate member's advantage at all hubs in the framework. The proposed calculation is easy to execute and can undoubtedly consolidate extra requirements. The calculation was tried on a 17-hub, 26-line framework. The outcomes have demonstrated that the proposed calculation yields great outcomes that are steady with the run of the mill showcase conduct.Introduction in 1988 all electric power utilities all through the world worked with a hierarchical model in which one is controlling expert the utility worked the era, Transmission, and Distribution Systems situated in a fixed geographic region. Financial specialists for quite a while had addressed whether this syndication association was productive.
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Stapleton, Drew M., Vivek Pande, Soumen Ghosh et Uzay Damali. « Refining shippers’ dyadic cost, risk, and delivery responsibilities : The principal changes to INCOTERMS and a transaction cost focus for the future ». Journal of Transportation Management 24, no 2 (1 janvier 2014) : 7–29. http://dx.doi.org/10.22237/jotm/1388534520.
Texte intégralRésumé :
We first explore the changes in the latest version of Incoterms and explain why and how they have been refined to better capture contemporary global and domestic shipping practices and policies. Next we graphically explain each of the eleven INCOTERMS 2010 and specify exact delivery points, those critical points at which cost and risk responsibilities shift from the Seller to the Buyer. We then provide a discussion to better explain the application of the terms from a practitioner’s view and note that many shippers and freight forwarders still revert to long practiced shipping policies, leaving themselves vulnerable. We close by proposing future researchers build an expert system grounded primarily in Transaction Cost Economics with mechanisms from Game Theory in an attempt to better guide trading partners in using appropriate Incoterms.
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Ivanov, Mykola. « The digital marketing with the application of cloud technologies ». SHS Web of Conferences 65 (2019) : 04019. http://dx.doi.org/10.1051/shsconf/20196504019.
Texte intégralRésumé :
In the article, the author provides an analysis of the state of the digital economy, when the dynamics of processes in the economy are quite high and a quick analysis of multidimensional data is required, where the strategy for the production of goods and market promotion, as well as pricing, depends on consumers. The author determined that the activity of modern trading platforms is aimed at the formation of the product range and its product range with the most advantageous characteristics of the product. These requirements have a direct impact on marketing strategy and pricing at the Internet-market. The author proposed the concept of building a digital marketing system based on the theory and practice of market segmentation, which takes into account many factors: geographical, costs, time, and others. The formation of similarities in consumption and pricing in the Internet market is the unifying factor in marketing research. In this concept, the author applied the method of assessing consumer efficiency, which is based on the use of rating estimates obtained on the basis of the ranking of expert opinion. Thus, the proposed concept and method for assessing consumer demand in the target market is aimed at the perspective management of trading platforms using cloud technologies.
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Aditantri, Rahmatyas, Febrina Mahliza et Alif Dimas Wibisono. « Urban Planning and E-Commerce : Understanding the Impact During Pandemic Covid-19 in Jakarta ». International Journal of Business, Economics, and Social Development 2, no 3 (12 août 2021) : 135–42. http://dx.doi.org/10.46336/ijbesd.v2i3.160.
Texte intégralRésumé :
In this digital era, online shopping is kind of behaviour that many people do. E-commerce appears and can gradually replace the existence of conventional market. Especially, this behaviour increasing during this pandemic COVID-19. During the pandemic, there has been a change in habits and activities ranging from working from home, school from home to service trading activities starting to switch to an online service trading system. In order to manage sustainable urban planning, it is important to consider the likely effects of e-commerce. Increasing e-commerce can bring influence also impact to urban planning in a city. This research explores the consumer behaviour regarding e-commerce activities and the influence toward urban planning. DKI Jakarta is chosen as the study location and the policies related to the pandemic COVID-19 in Jakarta are also considered as a literature review. This research using expert judgement as a method of determining aspects of urban planning that are influenced by e-commerce activities and combining the analysis of planning documents and reports as well. Furthermore, e-commerce activities during pandemic COVID-19 in DKI Jakarta have several impacts in urban planning. The implication in urban planning still remains unclear since people still have hybrid consumer behaviour. Besides, it still takes a long time to see a significant impact toward e-commerce to urban planning in DKI Jakarta.
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Setiawan, Andika Putra, Abdoel Djamali, Danang Kumara Hadi, Risa Martha et Satriya Bayu Aji. « Pengembangan Usaha Agroindustri Noni (mengkudu) dengan Pendekatan Decission Support System ». Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis 5, no 2 (29 septembre 2021) : 199. http://dx.doi.org/10.30737/agrinika.v5i2.1983.
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Noni or pace (Morinda citrifolia) is a medicinal plant with much interest from entrepreneurs in the traditional medicine industry and researchers in various countries. This study aimed to design the development of an agro-industry business (UD. ZAM) to increase competitiveness. The design of this research was descriptive using the expert system method. The analysis technique employed the MSME DSS software version 2.0 with a legal, marketing, management, human resources, environmental, and financial analysis model to design a Decision Support System. The results obtained were that UD. ZAM already had complete business legalization, such as Company Registration Certificate (TDP) 13.07.5.47.25386, Trading Business License (SIUP) 503/0087/411/2015, Taxpayer Identification Number (NPWP) 72.691.633.1-626.000, and Permit Industrial Business (IUI) 503/3212/411/2015, and P-IRT NO2133509103570-21. Therefore, with the license certificate, UD. ZAM was legal. In the marketing of noni products so far, it is export-oriented, which has advantages so that it can be developed. In terms of production performance, it shows the required production process and aspects of human resources provided by UD. ZAM standard regional minimum wage (UMR) and employment in rural areas, in a high feasibility environment, because it was easy to obtain materials and in financial aspects such as the assumption of an interest rate of 15%, break event point (BEP) quantity 25,833.87 and ( BEP) sales 261.397.03.77, benefit coast ratio (BCR) 2.35, payback period 1.23, net present value (NPV) 18.066.137.185.78, probability index (PI) 11, 28, and internal rate of return (IRR) 56.44. Keywords: Noni Agroindustry; Decision Support System (DSS).Mengkudu (Morinda citrifolia) adalah tanaman obat yang banyak peminatnya dari kalangan pengusaha industri obat tradisional dan peneliti diberbagai negara. Penelitian ini bertujuan untuk merancang pengembangan usaha agroindustri UD. ZAM untuk meningkatkan daya saing. Rancangan penelitian ini adalah deskriptif menggunakan metode expert system. Teknik analisis menggunakan software DSS UMKM version 2.0 dengan model analisis aspek hukum, aspek pemasaran, aspek produksi, aspek manajemen dan sumber daya manusia, aspek lingkungan, dan aspek keuangan. Hasil penelitian yang diperoleh adalah UD. ZAM telah memiliki kelengkapan legalisasi usaha Tanda Daftar Perusahaan (TDP) 13.07.5.47.25386, Surat Izin Usaha Perdagangan (SIUP) 503/0087/411/2015, Nomor Pokok Wajib Pajak (NPWP) 72.691.633.1-626.000, Izin Usaha Industri (IUI) 503/3212/411/2015, dan P-IRT NO2133509103570-21. Pemasaran produk noni selama ini berorientasi ekspor yang memiliki kelebihan kepastian pasar sehingga layak untuk dikembangkan, pada aspek kinerja produksi menunjukkan tingkat kelayakan rendah, aspek sumber daya manusia sistem upah yang diberikan oleh UD. ZAM standart Upah Minimum Regional (UMR) dan memberi lapangan pekerjaan pada masyarakat pedesaan, pada aspek kinerja lingkungan tingkat kelayakan tinggi, karena selama ini mudah untuk mendapatkan bahan baku, pada aspek keuangan seperti asumsi tingkat bunga sebesar 15%, break event point (BEP) kuantitas 25.833.87 maupun (BEP) penjualan 261.397.03,77,benefit coast ratio (BCR) 2,35, payback period 1,23, net present value (NPV) 18.066.137.185,78, probability index (PI) 11,28, dan internal rate of return(IRR) 56,44 maka layak dikembangkan lebih lanjut
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Ahmad, Syed S., Shahzad Khan et Mohammad A. Kamal. « What is Blockchain Technology and its Significance in the Current Healthcare System ? A Brief Insight ». Current Pharmaceutical Design 25, no 12 (9 août 2019) : 1402–8. http://dx.doi.org/10.2174/1381612825666190620150302.
Texte intégralRésumé :
Background: The promising eventual fate of blockchain in healthcare has a lot more extensive prospect. Blockchain is a novel structure that gives another design to storage and trade of data among different members of a particular network. In case of a hospital, blockchain takes into consideration the creation of a better treatment structure by the expert doctor in order to arrange the meeting based on the symptoms of patients throughout the world by the electronic system. Blockchain technology is crucial for biomedical and human services applications as social insurance has turned out to be a standout among the most essential rising application areas of the blockchain distributed ledger technology. Result: By and large, blockchain is treated as a conveyed record to store social insurance related information for allocation, trading, dissecting, footage, and affirming purposes among accomplices. The advantage of blockchain databases versus traditional dispersed databases is that they are decentralized, permanent, and perfected with advanced digital payment frameworks and hash chain occasion structure. The blockchain code is an unlocked resource and can be utilized, altered, and customized by its clients. Conclusion: Nowadays, blockchain is expected to be almost universally adopted across medical organizations around the world. The purpose of this review article is to comprehend the current explored subjects, difficulties, and future headings in regards to blockchain innovation from the specialized perspective in the health care system.
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SYSOIEV, Andrii. « System of controlling instruments operating activities of a trade enterprise ». Economics. Finances. Law, no 12/3 (28 décembre 2019) : 21–30. http://dx.doi.org/10.37634/efp.2019.12(3).5.
Texte intégralRésumé :
Introduction. Scientists have already begun to apply actively controlling in various directions and spheres of activity of the enterprise. There is a need to identify structure of controlling instruments that can be used for trading company operational activity. It will deepen the understanding of controlling essence and will make it easier to implement. The purpose of paper is to identify varieties of controlling instruments operating activities of a trade enterprise. Results. In order to practically use systematic tools for product division functionality, in these own cases. Within the sales department propose to use pricing methods. When canceling marketing activities, they use the following tools: portfolio development methods; potential analysis Pilot method; Porter; benchmarking (the process of comparing objects of one enterprise with similar other objects of other enterprises); analysis of analytical shifts; map of strategic groups. Within the personal staff department, you can use your own strength and effectiveness of staff and motivation systems. In the control department of logistics are silent to create: remains a stock; ABC analysis; XYZ analysis. The grocery department was confident. Open procurement can be ABC analysis; XYZ analysis; known order optimization; confident stock level. Branch of appropriate management using design tools; accounting (management); process cost checking (activity-based costing); a sure fact regarding the life cycle (life cycle cost); direct costing; standard bone; transfer pricing methods; margin analysis; EVA, SVA, limit results analysis; functional-cost analysis, system of operation of operating system of ability; general intellectual ability management system; truth chain analysis; analysis of the chain of creation of additional information; comparison of results in chain actions; system of operational monitoring "plan-fact"; a system that considers the budget and remains important; system of regulatory calculation; analysis analysis; factor analysis; analysis of analytical shifts. All units can be used: PEST analysis; central security management; strategic gaps; analysis of strengths and weaknesses in the enterprise (trying to exploit the weaknesses in the enterprise and maintain the utilized potential potential); goal management system; activity based management (activity based management); system of balanced users; strategic maps; modeling; business process map; scenario method (situational approach to management decisions made in uncertainty. Forecasting the outcome of the situation); scenario method (situational approach to management decisions made in uncertainty. Forecasting the outcome of the situation); expert method; mathematical methods; Monte Carlo method; to divide a person by objects; sensitivity analysis; high efficiency of the unit; outsourcing matrix; control of "weak" signals; observation; cognitive conversation (individual and group); polls (written and oral); CAS polar solutions; experiment (natural and laboratory); testing; self-observation and self-reports. Conclusion. The proposed system of controlling instruments is adopted for the operating activities of a trading enterprise. It let to implement all the main functions of controlling.
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Mardanov, M. J., R. R. Rzayev et P. E. Alizadeh. « On one approach to data fuzzification on the example of the Dow-Jones Index time series ». Mathematical machines and systems 2 (2020) : 3–13. http://dx.doi.org/10.34121/1028-9763-2020-2-3-13.
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The nature of weakly structured systems is specified by using of expert estimates, the inherent uncertainty of which belongs to the fuzzy class. Unlike stochastic uncertainty, fuzziness complicates or even eliminates the use of statistical methods and models, but can be used to make subject-oriented decisions based on approximate reasoning of a person. The formalization of intellectual operations simulating fuzzy human statements about the state and behavior of weakly structured systems and/or complex phenomena today forms an independent direction of scientific and applied researches, one of which is fuzzy modeling of time (or dynamic) series. This direction includes a task complex, the methodology of which is based on the theory of fuzzy sets, fuzzy logic and fuzzy models (or fuzzy inference systems). The initial procedure for fuzzy modeling of time series is fuzzification of historical data obtained by observing on the basis of “soft measurements” of the behavior of a dynamic system for a certain period of time. The paper proposes a new rule of fuzzification of such data, which is tested on the indicators of the Dow Jones Industrial Average, established by the results of daily trading on the US stock exchange by the usual arithmetic averaging of component indicators. The fuzzification procedure proposed in the given paper is implemented through a fuzzy inference system, which ensures that the membership functions of the corresponding fuzzy subsets of the discrete universe are found, covering the entire set of indicators of the Dow Jones index for more than a year.
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Rashideh, Waleed. « Assessing the Role and Use of Blockchain Technology in the Hospitality and Leisure Industry ». International Journal of Innovative Technology and Exploring Engineering 10, no 10 (30 août 2021) : 148–51. http://dx.doi.org/10.35940/ijitee.j9441.08101021.
Texte intégralRésumé :
Blockchain is an innovative technology, where in the hospitality and leisure industry, travelers can obtain their tourism products and services through an intermediation between travelers and service providers that causes many different problems (e.g. inefficient payment system, extra cost, etc.). The operative effect of blockchain on the hospitality and leisure industry is based on removing the intermediary from the supply chain. Blockchain capabilities are determined according to a number of massive industries, including financial sectors. Such organisations generate various methods in order to simplify trading for smaller and medium sizes of industries. The networks of the tourism value are based on power dependencies’ relationships in such a way many expert staff members have acquired additional values that are taken from their partnerships. The structure of a market can be improved based on the value, which relates to different online travel agencies via converting power from suppliers to consumers. The assessment demonstrates that the blockchain technology represents an effective technology that removes mediators, which are originally sourced from the supply chain. This technology does not allow any mediators to gain entry along towards the tourism industry, and by eliminating the market’s power.
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Rwafa-Ponela, Teurai, Susan Goldstein, Petronell Kruger, Agnes Erzse, Safura Abdool Karim et Karen Hofman. « Urban Informal Food Traders : A Rapid Qualitative Study of COVID-19 Lockdown Measures in South Africa ». Sustainability 14, no 4 (17 février 2022) : 2294. http://dx.doi.org/10.3390/su14042294.
Texte intégralRésumé :
Globally, the adoption of COVID-19 containment measures, such as lockdowns, have been used to curb the rapid spread of the pandemic. However, these action regulations have caused substantial challenges to livelihoods. We explored the perceptions and experiences of COVID-19 implications for urban informal food traders in South Africa during the initial lockdown period that lasted five weeks. A rapid qualitative study was conducted during October–November 2020. Twelve key informants (seven men and five women) categorized into informal traders and food system expert groups were interviewed. Data were analyzed thematically using MAXQDA software. Participants perceived informal trading as a main source of livelihood for many individuals. Negative lockdown impacts described included forced business closure, increased food costs and reduced demand. The consensus among participants was that the government’s lack of formal recognition for informal food traders pre-COVID-19 contributed to challenges they faced during the pandemic, as evidenced by their exclusion as “essential service providers’’ at the start of lockdown. Policies that fail to recognize and consider informal food traders during ‘normal’ times lead to widened social inequality gaps among already vulnerable groups during natural disasters and disease outbreaks. In the case of COVID-19 in South Africa, this caused severe hunger, food insecurity and income loss.
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Antonova, A. A. « ASSESSMENT OF THE ACTUAL LEVEL OF TRADE ORGANIZATIONS COMPETITIVENESS AT THE PRESENT STAGE OF DEVELOPMENT OF MARKET RELATIONS ». Scientific Review Theory and Practice 11, no 8 (2021) : 2503–17. http://dx.doi.org/10.35679/2226-0226-2021-11-8-2503-2517.
Texte intégralRésumé :
Besides the growth of globalization and informatization processes, the current stage of market relations development is characterized by the rapid development of competition in various fields and activities. At the same time, as the analysis of available studies on this issue has shown, a single universal approach to assessing the competitiveness of trade organizations has not yet been developed. As a result of the analysis of literary sources, a methodological approach to assessing the competitiveness of the enterprise has been recommended: the main stages and key principles of the analysis have been identified. It is determined that in the case of the study of the actual level of competitiveness in the context of existing approaches to assessing this indicator, it is advisable to use a factorial methodological approach. Based on the results of the application of the method of expert assessments, a system of indicators of the competitiveness of modern trade organizations is singled out. The most significant indicators forming the actual level of competitiveness include the price level index; absolute solvency ratio; purchase completion ratio; sales return ratio; market share indicator. The validity of the obtained results is confirmed by the calculated value of the coefficient of concordance and the results of comparing the calculated and tabular Pearson criteria. It is determined that the assessment system is based on a block system of criteria (effectiveness of the purchase and sales process, financial position of the business entity, quality of customer service, assessment of the market position) and the corresponding indicators of competitiveness, taking into account the key features of trading activity. According to the theoretical aspects of the developed assessment algorithm, its practical testing has been carried out on the basis of three competing trading organizations specializing in wholesale and retail sales of various categories of tools (OOO “Alliance Trade Service”, OOO “Sevprom Instrument” and OOO “Vash Instrument”). The values of the integral indicator of competitiveness of these trade organizations for 2019–2020 are analyzed in dynamics. Based on the comparison of the data, as well as the analysis of existing trends, the main problematic aspects of increasing the achieved level of competitiveness are identified, taking into account the specifics of a single enterprise functioning. The paper indicates the main areas of improving economic activity, which provide an opportunity to increase the actual level of competitiveness of trade organizations in the strategic perspective.
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Heinzova, Romana, Eva Hoke, Tomas Urbanek et Pavel Taraba. « Export and exports risks of small and medium enterprises during the COVID-19 pandemic ». Problems and Perspectives in Management 21, no 1 (10 janvier 2023) : 24–34. http://dx.doi.org/10.21511/ppm.21(1).2023.03.
Texte intégralRésumé :
COVID-19 has created an entirely new unknown environment with new risks. Various restrictive national measures seeking to protect health took precedence over economic measures. Moreover, a large number of businesses are entirely dependent on international trade and exports. The aim of this paper is to map and analyze the development of small and medium enterprises’ exports during the COVID-19 pandemic in the Czech Republic. Moreover, it identifies the most significant export risks and their perception by small and medium enterprises. The chi-square test, Cramer’s coefficient, and exact binomial test were used to verify the statistical dependencies of research questions and hypotheses.Empirically, the statistically significant impact of the COVID-19 pandemic on the decline in small and medium enterprises’ exports was confirmed. In connection with the effectiveness of risk management, it was found that less than 50% of enterprises in the research sample are not ISO 31000-certified. The study concluded that the most significant export risks confirmed by statistical testing were COVID-19 risks and payment morale of foreign trading partners. AcknowledgmentThis study is co-financed by DKRVO 2022/04 Lean a Project Management in manufacturing Industry in the Czech Republic.
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Khavrova, Kateryna, Tetiana Kozhukhova, Yuliia Bocharova, Natalia Ivanova et Nataliia Pryimak. « Development of formats for the implementation of the intelligent business model of trade enterprises ». Eastern-European Journal of Enterprise Technologies 4, no 13(118) (31 août 2022) : 6–11. http://dx.doi.org/10.15587/1729-4061.2022.258384.
Texte intégralRésumé :
Common to all commercial enterprises is the problem of violating the basics of the formation of intellectual activity. The same problem of enterprises’ intellectual activities is quite relevant from a practical point of view. One of the useful tools, the use of which makes it possible to translate the issues of intellectual activities, is the formation of a business model. In the process of the study reported here, a meaningful part of the intellectual business model of an enterprise was proposed and the corresponding concept was introduced. The main groups of indicators for assessing the level of intellectual activities of the business model of an enterprise were combined into the following clusters: qualifications (Q), skills (S), possibilities (V). The level of an enterprise's intellectual activities was assessed using an empirical and graphical method since the selected assessment indicators in their content can only accept point scores. The proposed methodology for forming a radar system to determine the format of business models for intellectual activity of trading enterprises is based on the definition of clusters of indicators to assess the level of an enterprise’s intellectual activities using an integral indicator. According to the radar system, the formats of enterprises' intellectual activities have been determined: innovative, integrated, rational, content-oriented, conducting. It was investigated that the potential for increasing the level of intellectual activity of the integrated format of the business model of an enterprise is about 14 %. The conclusion about the level of the enterprise's intellectual activities is made on the basis of determining the scale of values of expert assessments. Validation of the assessment of the level of intellectual activity of an enterprise was carried out separately for each format for all proposed clusters of assessment indicators. Based on the results of testing, recommendations have been compiled for choosing the format of a business model for the studied enterprises.