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Journal articles on the topic 'Enterprise decision-making'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Rábová, I., V. Konečný, and A. Matiášová. "Decision making with support of artificial intelligence." Agricultural Economics (Zemědělská ekonomika) 51, No. 9 (2012): 385–88. http://dx.doi.org/10.17221/5124-agricecon.

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&nbsp; Development of software modules for decision support is currently a basic trend in the creation of enterprise Information Systems (IS). The IS is basically a support system of the enterprise Decision System, therefore we can regard it as a very important factor of the competition ability and enterprise prosperity. Conventional IS modules provide the enterprise managers a lot of useful information. Nevertheless, own decision process in view of difficulty, complexity or creation disability of decision process model is very often problematic. This contribution is oriented by its conten

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Rong, Xiaoya, and Haoran Wang. "Analysis on tax management and risk control of enterprise management decision." Highlights in Business, Economics and Management 33 (May 9, 2024): 189–93. http://dx.doi.org/10.54097/kbm4de29.

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In today's complex and changeable business environment, enterprises are faced with many business decision-making problems. As an important part of enterprise management, tax plays a key role in enterprise management decision-making. Tax management involves tax planning, tax compliance and tax risk management of enterprises, which directly affects the operating results and profits of enterprises. At the same time, risk control is a factor that can not be ignored in business decision-making, and enterprises must make a balance between risk and return. Therefore, it is of great significance to st

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Huang, Zhecheng. "Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm." Mobile Information Systems 2022 (May 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/6184106.

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With the sustained and rapid development of China’s economy, the business environment of enterprises is becoming more and more complicated. Coupled with the increasing international competitive pressure of enterprises, the management of enterprises needs more attention. The emergence of DSS provides an opportunity for enterprise management intelligent decision-making. Based on the in-depth study of RF algorithm, this paper proposes a new intelligent decision-making model for enterprise management, aiming at the shortcomings of traditional decision-making systems. In this paper, the decision-ma

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Han, Yuxuan, Yining Chen, and Yunxuan Zhang. "Design and Implementation of Information Management System for Enterprise Decision Support." SHS Web of Conferences 213 (2025): 01002. https://doi.org/10.1051/shsconf/202521301002.

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In today’s rapidly changing business environment, enterprise decision support systems are important tools for improving organizational decision-making efficiency and effectiveness. This paper explores designing and implementing an information management system for enterprise decision support. The system relies on modern information technology and integrates multiple functions such as data processing, model analysis, and intelligent decision-making, providing strong data support and decision recommendations for managers. Firstly, the paper analyzes the common problems encountered in the decisio

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Yang, Fan. "Leveraging Mobile Interaction Technologies for Real-Time Decision Making in Enterprise Management Systems." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 02 (2025): 65–78. https://doi.org/10.3991/ijim.v19i02.53743.

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With the widespread adoption of mobile internet and smart devices, enterprises face rapidly changing market environments and complex decision-making requirements. How to utilize mobile interaction technologies to enhance real-time decision-making capabilities in enterprise management systems has become a critical issue in modern business management. Through real-time data transmission and interaction via mobile devices, businesses can more flexibly acquire information, monitor statuses, and optimize decision-making processes, thereby improving the timeliness and accuracy of decisions. Existing

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ZAKHARCHENKO, Natalia, DOBROVA DOBROVA, and Anastasiia FIALKOVSKA. "FACTORS OF INFLUENCE ON ECONOMIC DECISION-MAKING IN BUSINESS ACTIVITY IN CONDITIONS OF MARTIAL STATE." REVIEW OF TRANSPORT ECONOMICS AND MANAGEMENT, no. 9(25) (October 25, 2023): 21–26. http://dx.doi.org/10.15802/rtem2023/278096.

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Goal. To study the main factors of making business decisions at enterprises. Method. The method of studying and summarizing information, the general theory of systems and system analysis were used for research. The results. The article examines changes in economic decision-making based on the factors of the micro- and macro-environment of enterprises that influence these decisions during martial law, and compares them with pre-war factors. The authors of the article analyze on the basis of statistical data the change in approaches to enterprise management, highlight the main problems and tasks

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Chen, Tian, Tingyu Ran, and Rui Yang. "The Influence of Entrepreneur Characteristics on Business Development." Highlights in Business, Economics and Management 4 (December 12, 2022): 116–26. http://dx.doi.org/10.54097/hbem.v4i.3437.

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The rationality of enterprise decision-making is the guarantee for the sustainable development of the enterprise, which also determines whether the enterprise can survive during the major crisis. As leaders of enterprises, entrepreneurs have an important influence on the development of enterprises and different characteristics of entrepreneurs will directly affect the development of enterprises as well. By collecting a large amount of data and using the research method of grounded theory, this paper uses Nvivo11 qualitative analysis software to systematically analyze the personal characteristi

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Tan, Mengxi. "An Empirical Review of Capital Structure Decision-Making." Advances in Economics, Management and Political Sciences 75, no. 1 (2024): 112–18. http://dx.doi.org/10.54254/2754-1169/75/20241610.

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The capital structure reflects the proportional relationship between a company's debt and equity, indicating the company's ability to repay debt and refinance. The quality of the capital structure determines the company's future profitability and development trend, serving as an indispensable indicator of the company's financial situation. However, with approximately 70 million companies in the global market, their scales and operating conditions vary in stability and growth. Additionally, their financial and asset structures differ significantly and are subject to macroeconomic fluctuations e

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Lei, Zhixiang. "Research on Enterprise Decision Optimization Based on Value Creation." Academic Journal of Management and Social Sciences 11, no. 1 (2025): 182–86. https://doi.org/10.54097/2s1pdn77.

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Under the increasingly fierce market competition, the optimization of enterprise decision-making has become a key factor for enterprises to achieve value creation and enhance competitiveness. From the perspective of value creation, this study deeply discusses the status quo, model basis and existing problems of enterprise decision-making, and puts forward corresponding optimization strategies. This study finds that scientific and reasonable decision-making can not only effectively reduce the cost of enterprises, but also enhance the overall value of enterprises. Finally, this study provides a

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Chen, Yin Feng. "Enterprise Document Management Module’s Design and Implementation Based on Workflow Technology." Advanced Materials Research 1061-1062 (December 2014): 1279–83. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1279.

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With the acceleration of enterprise information, office automation system had already become an important content of enterprise modernization. Enterprises realized office automation which could optimize management organization, increase coordination office ability and increase the efficiency of the enterprise's decision-making. The paper was based on the workflow technology to carry on the document management module’s design and implementation in the enterprise office automation in order to achieve the enterprise document automatic functions of approval.

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Li, Yiling, Xiaowei Lin, Xideng Zhou, and Minglin Jiang. "Supply Chain Quality Decisions with Reference Effect under Supplier Competition Environment." Sustainability 14, no. 22 (2022): 14939. http://dx.doi.org/10.3390/su142214939.

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Nowadays, in such a competitive business environment, under the pursuit of high quality and high standards, every enterprise has clearly realized that the quality of products is directly related to the interests of the enterprise, the development of the enterprise, and the survival of the enterprise. The idea that quality is life has long been deeply rooted in every enterprise. Based on the aforementioned reality, this paper first constructs a demand function affected by product quality, service quality, reference effect and quality competition, and studies the optimal product quality and serv

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KOZLOVA, Valeria. "ECONOMIC DIAGNOSTICS IN THE SYSTEM OF INFORMATION SUPPORT FOR MANAGEMENT DECISION-MAKING." Herald of Khmelnytskyi National University. Economic sciences 312, no. 6(2) (2022): 196–201. http://dx.doi.org/10.31891/2307-5740-2022-312-6(2)-33.

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The article updates the problem of the role, place and informative possibilities of economic diagnostics for making managerial decisions regarding the innovative development of the enterprise. A significant number of scientific publications of Ukrainian and foreign economists devoted to various aspects of managerial innovations were considered, and the need for a systematic search for ways of innovative transformation of managerial decision-making for the effective development of enterprises was revealed. Analytical models of managerial decision-making based on knowledge were analyzed, the nec

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Li, Fangfang. "Decision-making of Enterprise Greenwashing Behavior Under The Background of Carbon Tariff." Frontiers in Science and Engineering 4, no. 12 (2024): 110–19. https://doi.org/10.54691/qmp91771.

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Research background: As the EU deals with carbon leakage through carbon tariffs, export enterprises of some countries that do not meet the carbon emission standards face the problem of increasing export costs, so these enterprises have the tendency of "green washing". Therefore, how enterprises make decisions to deal with carbon tariffs and avoid the impact of changes in the terms of trade has become a hot topic. Based on the cost constraints of enterprises in developing countries, the information asymmetry between upstream and downstream enterprises, and the external environment constraints s

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Wu, Jun, Chengbing Li, and Yueying Huo. "Safety Assessment of Dangerous Goods Transport Enterprise Based on the Relative Entropy Aggregation in Group Decision Making Model." Computational Intelligence and Neuroscience 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/571058.

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Safety of dangerous goods transport is directly related to the operation safety of dangerous goods transport enterprise. Aiming at the problem of the high accident rate and large harm in dangerous goods logistics transportation, this paper took the group decision making problem based on integration and coordination thought into a multiagent multiobjective group decision making problem; a secondary decision model was established and applied to the safety assessment of dangerous goods transport enterprise. First of all, we used dynamic multivalue background and entropy theory building the first

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Wang, Ruifan. "Statistical study on the impact of psychological bias on business decision-making." Transactions on Economics, Business and Management Research 12 (September 28, 2024): 103–10. http://dx.doi.org/10.62051/n41hsx09.

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In today's highly competitive business environment, it is particularly important to understand and optimize the decision-making process. Psychology, especially, cognitive bias theory, provides important perspectives on its application in business decision making. This study focuses on how psychological biases in business decision making affect decision efficiency and enterprise outcomes. Through quantitative analysis of the decision examples and results of many enterprises, this paper reveals the universality and influence of psychological bias such as confirmation bias, overconfidence and gro

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Tan, Yong Jie. "Application of Intelligent Decision Support System in Enterprise Management." Advanced Materials Research 709 (June 2013): 740–43. http://dx.doi.org/10.4028/www.scientific.net/amr.709.740.

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Decision-making in the process of business operations is a more complex management task and is a core part of enterprise management. With the continuous development of the social economy, the living environment of enterprises is increasingly complex and the competition among enterprises becomes increasingly fierce. Intelligent Decision Support System is a new information technology that can provide information and solutions for enterprise management, help managers quickly process information, reduce their burden of work, and enhance managers efficiency and quality of decision-making.

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Asadi, Mounes, Hamed Fazlollahtabar, and Babak Shirazi. "An Enterprise Management Decision Making System based on Possibility Theory." International Journal of Enterprise Information Systems 11, no. 4 (2015): 1–27. http://dx.doi.org/10.4018/ijeis.2015100101.

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One of the substantial problems in large scale enterprises is lack of the integrity of the operational systems. The information flow among different departments is aiming at integrating data, applications and business processes in an organizational platform. In this research, the authors propose to design a process of decision support system for the integration of three corporate units: purchasing, sales and production. Here, they examine the process in two steps of information flow in each enterprise unit for decision making. While in the second step and according to data from the previous st

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18

Han, Yulu, Xin Yi, Zhoupei Yang, and Ying Guo. "The Impact of Big Data on the Transformation of Enterprise Financial Decision-Making." Frontiers in Business, Economics and Management 19, no. 2 (2025): 207–9. https://doi.org/10.54097/xfvm4649.

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This article explores the impact of big data on the transformation of enterprise financial decision-making. Big data, characterized by its massive volume, diversity, and value, influences the tools and processes of enterprise financial decision-making. It is of great significance in reducing costs, improving the effectiveness and efficiency of decision-making, and promoting innovative development. However, there are problems in enterprise financial decision-making, such as insufficient risk awareness, difficulty in controlling data quality, and a shortage of professional talents. Therefore, en

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ZHAO, S. J. "CONSTRUCTION OF ENTERPRISE ECONOMIC DECISION RECOMMENDATION SYSTEM BASED ON COMBINED ASSOCIATION ANALYSIS MODEL." Latin American Applied Research - An international journal 48, no. 4 (2018): 249–54. http://dx.doi.org/10.52292/j.laar.2018.236.

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With the development of the information age and the network economy, enterprises need more and more decisions, and the difficulty and complexity of decision-making are constantly improving. The traditional centralized decision-making is no longer in line with the requirements of current social and economic development. Therefore, based on the in-depth study of conventional algorithms, this paper constructs a portfolio association analysis model for enterprise economic decision-making recommendation system, and uses the off-line test method to test the construction model. The test results show

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Liu, Li, and Seechen Yong. "Optimization of Digital Management Path for Human Resource Performance Evaluation Based on Multiobjective Decision-Making Mathematical Model." Mobile Information Systems 2022 (July 6, 2022): 1–9. http://dx.doi.org/10.1155/2022/2604761.

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Talent is an indispensable and important factor for the development and growth of an enterprise. Therefore, human resources have become an important resource of enterprises, and performance appraisal in human resource management has also become one of the important contents of modern enterprise management. Without a set of scientific and standardized performance appraisal systems, it will make it difficult for the daily human resource performance management of enterprises to achieve the expected goals. This study analyzes the actual needs, business processes, and existing problems of an enterp

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Ren, Shaomin. "Optimization of Enterprise Financial Management and Decision-Making Systems Based on Big Data." Journal of Mathematics 2022 (January 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/1708506.

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Based on information asymmetry theory, principal-agent theory, and risk management theory, this paper analyzes the mechanism of the impact of big data on financial decision-making, analyzing four dimensions: how big data enhances the information base for forecasting, how big data improves the relevance of decision-making, how big data builds new competitive advantages, and how big data promotes dynamic decision-making. Secondly, through the analysis of specific implementation cases of enterprise big data in financial decision-making, we focus on the real problems faced in management and the ef

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22

Kondratenko, Nataliia, and Militsa Volkova. "FEATURES AND CONDITIONS OF MAKING MANAGEMENT DECISIONS AT THE ENTERPRISE." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 23(51) (2021): 47–53. http://dx.doi.org/10.25264/2311-5149-2021-23(51)-47-53.

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The article identifies the features and conditions of management decisions at the enterprise. It is noted that today in the economic and managerial activities of Ukrainian enterprises one of the main tasks is to identify problem situations and find optimal ways of solving them. Irrational, suboptimal decisions can lead to loss of business stability, bankruptcy or other, even more threatening consequences. It is noted that one of the components of the control subsystem is the subsystem for developing management decisions to implement changes. It plays an important role in the enterprise. It is

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Vitkovskiy, T. "Multistage Decision-Making Processes in Enterprise Management." Journal of Automation and Information Sciences 31, no. 1-3 (1999): 106–17. http://dx.doi.org/10.1615/jautomatinfscien.v31.i1-3.520.

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Dolgalova, Olena, and Roman Spytsya. "Optimization of the management decision-making system at a construction enterprise." Galic'kij ekonomičnij visnik 80, no. 1 (2023): 68–75. http://dx.doi.org/10.33108/galicianvisnyk_tntu2023.01.068.

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Optimizing the management decision-making system at enterprises of the construction industry of Ukraine in today's difficult economic conditions is one of the main factors capable not only of adopting and improving the enterprise's management system, but also of ensuring its stability and competitiveness. The results of the analysis of the essence of the process and ensuring the effectiveness of management decision-making, testify to the presence of a large number of opinions of scientists regarding the development of many theories and methods of achieving the necessary results in this directi

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Gao, Lina. "The Impact of Consumer Behavior and Product Innovation on Enterprise R&D Decisions in a Macroeconomic Environment." Frontiers in Business, Economics and Management 11, no. 2 (2023): 262–65. http://dx.doi.org/10.54097/fbem.v11i2.12620.

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With the intensification of market competition and the continuous progress of technology, enterprise R&D decision-making is becoming more and more important to the development of enterprises. Enterprise R&D decision-making involves product R&D direction, R&D investment, technological innovation and other aspects, which directly affects the market competitiveness of enterprises. However, the R&D decision of enterprises is influenced by many factors, such as market demand, consumer preference, competition pattern, product innovation and macroeconomic environment. These influe

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Nikitina, Tatyana N. "INCREASING THE ECONOMIC POTENTIAL OF PETROCHEMICAL ENTERPRISES IN A RISKY ENVIRONMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 10/13, no. 151 (2024): 51–59. https://doi.org/10.36871/ek.up.p.r.2024.10.13.007.

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The petrochemical industry is the flagship of the Russian economy. Effective management of a petrochemical enterprise in modern conditions associated with the limitations of the global market for the consumption of petroleum products is based on decision-making competencies in a risk situation. In such a situation, risk management becomes the key to the success of the enterprise. The article reveals the features of the management decision-making process at petrochemical enterprises under risk conditions. The issues of digitalization of the management decision-making process are updated, which

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Oleksandr, S. Balan. "Management of the decision-making process for the strategic development of industrial enterprises." Economics: time realities 5, no. 51 (2020): 80–88. https://doi.org/10.5281/zenodo.4579860.

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Conceptual principles of decision-making process management have been developed, which take into account the factors influencing the process of strategic development of industrial enterprises. The mechanism of making investment decisions, functional management blocks, variability of changes of the investment project and development of the enterprise are developed.

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Rafati, Laleh, and Geert Poels. "Service-Oriented Enterprise Engineering." International Journal of Information Systems in the Service Sector 10, no. 3 (2018): 20–40. http://dx.doi.org/10.4018/ijisss.2018070102.

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Strategic sourcing, as a critical area of strategic management, is centered on decision-making towards achieving value-driven targets. Many companies face challenges in obtaining the benefits associated with effective strategic sourcing decision-making. Enterprise modeling can contribute to strategic sourcing decision-making by helping in the conceptualization, design and exploration of multiple strategic options for better decision-making. In this article, the authors explore a solution approach that refines the existing Enterprise Engineering (EE) modeling discipline into a Service-oriented

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Pakšiová, Renáta. "The Critical Analysis of Profit for its Allocation Decision-Making." Scientific Annals of Economics and Business 64, s1 (2017): 41–56. http://dx.doi.org/10.1515/saeb-2017-0039.

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AbstractThe decrease of the business property can cause a reduction in the production ability of the enterprise to the extent causing an involuntary closing of business activities. It is usually caused not only by the reported loss, but also by the greater distribution of profits, as is the amount of the real level of the enterprise's distributable profit. A thorough analysis of the reported accounting profit described in this paper should be the starting point for the allocation of profit. It is important to be able to identify and assign a portion of the accounting profit, corresponding to t

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Chen, Jia Juan, Qian Feng, and Xiao Qi Cai. "B2C E-Commerce Enterprises Decision Making on Logistic Suppliers." Advanced Materials Research 694-697 (May 2013): 3588–91. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3588.

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Nowadays, enterprises adopt outsourcing to conduct their logistic distribution. In order to choose the appropriate logistic provider, a detailed, in-depth logistic plan should be designed. This paper adopt BSC theory and GAHP-grey correlation method, based on the condition mentioned above, put forward a method of choosing logistic provider forB2C e-commerce enterprise. Finally, a case shows that this method is feasible.

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Sun, Shiwei, and Zhi Gao. "Research on Enterprise Production Decision Optimization Based on Dynamic Optimization Technology." Highlights in Business, Economics and Management 51 (February 27, 2025): 260–70. https://doi.org/10.54097/f7rv5v12.

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Enterprise production decision-making planning is very important to the development of enterprises, and scientific and reasonable decision-making planning can effectively optimize resource allocation, control costs and improve economic benefits. In order to cope with the complex decision-making challenges in enterprise production, this study constructs a complete production decision-making planning system based on dynamic optimization strategies and the integration of a variety of advanced mathematical models and methods. In practice, the binary inspection combined with the normal approximatio

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Huang, Dexin, Qing Gao, Chengqi Peng, Kexuan Yang, and Renhuai Liu. "A Study on the Impact of Different Organizational Levels on Digital Transformation in Enterprises." Sustainability 15, no. 23 (2023): 16212. http://dx.doi.org/10.3390/su152316212.

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Based on data from A-share listed companies in Shanghai and Shenzhen between 2007 and 2020, this study categorizes enterprises into decision-making and execution levels. We found that a high degree of digital transformation at the decision-making level enhances enterprise performance, while excessive transformation at the execution level diminishes performance. We tested the influence of the digital transformation degree of the decision-making layer and the executive layer on enterprise performance by constructing an econometric model. The mechanism behind the results was tested, and the influ

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Zhao, Danyu, Li Song, and Liangliang Han. "Multiagent Decision-Making of Enterprise Debt Restructuring Based on Fuzzy-Set Qualitative Comparative Analysis." Complexity 2023 (May 11, 2023): 1–15. http://dx.doi.org/10.1155/2023/6722707.

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Debt restructuring is an effective means to solve the financial difficulties of enterprises. At present, the operation methods and means of enterprises with different characteristics to participate in debt restructuring are different, and no universal debt restructuring scheme has been formed. In order to solve this problem, this paper uses the method of fuzzy set qualitative comparative analysis. This paper discusses the influence mechanism of multiple concurrent factors on enterprise debt restructuring and summarizes the selection rules of debt restructuring strategies for enterprises with d

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Liao, Xiaoyong. "Decision Method of Optimal Investment Enterprise Selection under Uncertain Information Environment." International Journal of Fuzzy System Applications 4, no. 1 (2015): 33–42. http://dx.doi.org/10.4018/ijfsa.2015010102.

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To select an optimal investment enterprise is the key to effectively reduce the investment risk for an investment company. In this paper, the author studies the problem of optimal investment enterprise selection decision under uncertain information environment (fuzzy information and grey information coexist), and present a fuzzy grey multi-attribute group decision making model to select the optimal investment enterprise. In this model, the author defines the concept and operations of fuzzy grey number, and present a ranking method based on fuzzy grey deviation degree to rank the alternative in

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Liu, Wenjuan. "Enterprise Credit Risk Management Using Multicriteria Decision-Making." Mathematical Problems in Engineering 2021 (November 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/6191167.

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The purpose of this study is to reduce the rate of multicriteria decision-making (MCDA) errors in credit risk management and to weaken the influence of different attitudes of enterprise managers on the final decision when facing credit risk. First, several solutions that are suitable for present enterprise credit risk management are proposed according to the research of enterprise risk management in the world. Moreover, the criteria and matrix are established according to the general practice of the expert method. A decision-making method of enterprise credit risk management with trapezoidal f

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LAVRICHENKO, OLEG VYACHESLAVOVICH. "Decision-Making Intellectual Support in the Theory of the Active Connect." Modern Applied Science 9, no. 13 (2015): 60. http://dx.doi.org/10.5539/mas.v9n13p60.

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<p>Effective control of innovative resources at the enterprise requires new and creative interaction mechanisms (active connect) between decision-makers, and enterprise-wide information systems. The essence of innovation self-organizing business forming technologies is revealed for the first time in the research work, which reveals the authoring theory of active connect basics. The article proves the maximum value of Choquet integral application demand by the decision-making process modeling for the disparity elimination in innovative resources distribution. The method proposed by the au

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Xu, Ya Ning. "Construction of Core Talents Decision Support System for Logistics Enterprises Based on Cloud Database." Applied Mechanics and Materials 556-562 (May 2014): 5695–99. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5695.

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With the rapid development of logistics enterprises, personnel decision management of logistics enterprise is highly valued by the relevant institutions and enterprises. How to correctly understand the core function of logistics enterprises, mining and build the core talent decision support system is one of the topics in this field to be solved. Firstly, based on the talent incentive model, we analyze the talent incentive process of logistics enterprise, and based on the characteristics of cloud database we construct personnel decision support system of logistics enterprise. In order to verify

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Dilipkumar Devarahosahalli Jayaram. "AI-Augmented Decision Making: A Framework for Enterprise Workflow Transformation." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1950–59. https://doi.org/10.32628/cseit251112184.

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Artificial Intelligence is fundamentally transforming how enterprises approach decision-making and workflow management. This article examines the emerging paradigm of AI-augmented decision platforms and their impact on enterprise operations. Through analysis of real-world implementations, including ServiceNow's Intelligence Platform, this article explores how organizations are leveraging AI to enhance human decision-making capabilities while automating routine workflows. This article demonstrates that successful AI-human collaboration frameworks can significantly improve operational efficiency

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Chen, Huijun. "Enterprise negotiation and communication management system under the guidance of the Internet of Things." PLOS ONE 18, no. 4 (2023): e0284891. http://dx.doi.org/10.1371/journal.pone.0284891.

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The multi-agent system is used to study the negotiation problem of virtual enterprises in the context of the Internet of Things (IoT) to strengthen the decision-making ability of enterprises and improve the negotiation efficiency between different enterprises. Firstly, virtual enterprises and high-tech virtual enterprises are introduced. Secondly, the virtual enterprise negotiation model is implemented using the agent technology in the IoT, including constructing the operation mode of the alliance enterprise agent and the member enterprise agent. Finally, a negotiation algorithm based on impro

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Zuo, Rui. "Research on the Land Decision of Real Estate Enterprises Based on Fuzzy AHP." Applied Mechanics and Materials 226-228 (November 2012): 2263–67. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.2263.

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Land decision is a prerequisite for the healthy development of real estate enterprises, the decision-making is a multi-criteria decision-making problem. This paper mainly research on the real estate enterprises’ land decision, considering the land decision factors integrating real estate enterprises’ characteristic, using the analytic hierarchy process (AHP) and fuzzy theory to effectively integrate qualitative and quantitative factors of the real estate enterprises’ land decision. First of all, this paper expounds the real estate enterprises’ land decision-making process based on the fuzzy an

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Bian, Wenying, and Wenmin Bian. "Construction of Application Model of Accounting Framework Platform for Industry-Finance Integration Management under the Background of Multimedia Technology." Mobile Information Systems 2022 (May 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/1151226.

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With the rapid development of multimedia technology today, digital technology research has penetrated into various fields. Based on the integration of industry and finance, management accounting breaks the barriers of business and financial communication, makes business and financial processes penetrate each other, reduces financial levels, improves work efficiency, and helps enterprises create value and improve their core competitiveness. In recent years, with the continuous emergence of new technologies such as big data, cloud computing, and blockchain, how to rely on multimedia technology t

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Wang, Qiao, Jianjun Wang, and Shenlin Ye. "Decision-Making Optimization Design of Enterprise Standardization Management Planning Based on Mobile Network System." Wireless Communications and Mobile Computing 2021 (May 31, 2021): 1–11. http://dx.doi.org/10.1155/2021/5548522.

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With the continuous deepening of enterprise management and market competition, the pressure of production and operation of enterprises is increasing, and it is urgent to improve the management level of enterprises. This paper mainly studies the decision optimization design of enterprise standardization management planning based on mobile network system. In this paper, the idea of clustering is used to integrate the customers into a customer clustering mode, which will greatly reduce the number of customers studied in the model and simplify the optimization process of the model. Through online

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Ren, Hong Bo, Yu Wang, Rong Luo, and Ji Min Yu. "The Design and Implementation of the Iron and Steel Industry Sales System Based on Business Intelligence." Applied Mechanics and Materials 268-270 (December 2012): 1657–60. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1657.

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As the construction of enterprise informatization in the iron and steel industry has increasingly matured, it leads enterprise to accumulate a large number of business data that can not be used effectively. So the enterprise lack of data information for auxiliary decision-making activities. This paper puts forward a construction of the iron and steel industry sales system based on BI. Combining sales information management with decision analysis for integrated solutions can handle daily business, effectively extract and analyze enterprise historical data into useful information which provides

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CHUPRYNA, U.A., О.S. BOLEBRUKH, A.Ye. ROVENSKYY, A.Ye. DERKACH, and D.A HULIAIEV. "Analysis of economic and managerial decision–making systems of the business portfolio of the enterprise." Market Relations Development in Ukraine №1(236)2021 102 (April 22, 2021): 64–72. https://doi.org/10.5281/zenodo.4709459.

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The subject of the research is the theoretical and methodological bases of the process of strategic development of enterprises for making economic and managerial decisions of the business portfolio. The purpose of the study is to study the concept of operation and research strategy of existing tools to study the state of strategic business units of the enterprise, for comparative analysis of strategic business units. Research methods. When writing the article, general scientific and special methods of research of economic phenomena concerning functioning and acceptance of economic and administ

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Li, Zifan, Pinwen Gong, Yalin Wang, and Sihao Qu. "The impact of digital transformation on enterprise organizational structure." Highlights in Business, Economics and Management 41 (October 15, 2024): 732–40. http://dx.doi.org/10.54097/qt9jer93.

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With the rapid development of information technology, digital transformation has become a key way for enterprises to enhance competitiveness and adapt to market changes. This paper aims to explore the impact of digital transformation on the organizational structure of enterprises. By explaining the concept and background of digital transformation, this paper analyzes the evolution trend of enterprise organizational structure in the digital age, and discusses in detail how digital transformation changes the organizational hierarchy, team collaboration mode, decision-making process and workflow

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Yan, Yi, and Dejiang Chu. "Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data." Mathematical Problems in Engineering 2021 (November 10, 2021): 1–10. http://dx.doi.org/10.1155/2021/2439978.

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The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management of manufacturing enterprises in the era of big data. Supplier management is the top priority of manufacturing enterprise management. Regarding the performance appraisal of manufacturing enterprises, the management data of large manufacturing enterprises are collected by questionnaire. 226 questionnai

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Jiang, Haifeng, Yuchao He, Jianqiao Liang, and Zhenting Chen. "Optimizing Dynamic Programming Algorithm Based on Bayesian Model to Solve Enterprise Decision-Making Problem." Journal of Big Data and Computing 2, no. 4 (2024): 24–36. https://doi.org/10.62517/jbdc.202401405.

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In the current highly competitive business landscape, enterprises face a series of complex decision-making challenges during the efficient production process of popular electronic products. Taking this as the entry point, this paper deeply analyzes these problems, aiming to build a scientific theoretical foundation for enterprise decision-making, optimize the production process, reduce costs, and enhance economic benefits. This paper first uses statistical hypothesis testing to design a sampling scheme to evaluate the defective rate of parts. Then, the dynamic programming algorithm is employed

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Al-Ammouri, A., D. Korovin, and O. Mozghovyi. "INFORMATION TECHNOLOGIES FOR SUPPORT OF DECISION MAKING IN BUSINESS PROCESSES." Slovak international scientific journal, no. 90 (December 16, 2024): 14–18. https://doi.org/10.5281/zenodo.14503338.

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This article reveals the importance of information support for managerial decision-making in modern business processes. It emphasizes that contemporary information systems play a crucial role in enhancing enterprise efficiency by facilitating decisions based on the analysis of previous process executions. The proposed semi-automated approach utilizes data mining methods to identify key patterns among the context, decisions, and outcomes of processes. The main functions, purposes, and directions for improving decision support information systems are analyzed, demonstrating their impact on the c

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Zhang, Jian, Kai Lu, and Gang Liu. "Multi-Criteria Decision Making Methods for Enterprise Energy Planning under the Constraint of Carbon Emissions." Advanced Materials Research 962-965 (June 2014): 1690–96. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1690.

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Under the constraint of carbon emissions, the selection of enterprise energy planning solutions mostly put the minimizing economic costs as a single target. Investigation and analysis are combined energy planning evaluation system with the characteristics of the enterprises. Based on the criteria of economic factors, environmental factors, and technological factors, this paper proposes an enterprise energy planning strategy selection index system. AHP and PROMETHEE are respectively used to calculate the weight of the index and to prioritize the alternatives. Finally, a certain enterprise energ

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Fan Yang. "Application of Mobile Technology in Enterprise Management: From Mobile Office to Intelligent Decision Support." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 18 (2024): 4–18. http://dx.doi.org/10.3991/ijim.v18i18.51493.

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With the rapid advancement of information technology, the application of mobile technology in enterprise management has become increasingly widespread. From mobile office solutions to intelligent decision support systems, the proliferation of mobile technology has not only enhanced operational efficiency but also provided more flexible and convenient management methods. Existing research indicates that the adoption of mobile office solutions enables enterprises to overcome limitations of time and space, improving work efficiency and employee satisfaction. Additionally, the implementation of in

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