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Journal articles on the topic 'Enterprise Data Strategy'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Teng, Haiyun. "Impact of Consumer Data Value on Pricing of Platform Enterprise." Frontiers in Humanities and Social Sciences 4, no. 1 (2024): 117–27. http://dx.doi.org/10.54691/wztmrh76.

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Based on the background of digital economy, this paper mainly discusses the value of consumer data and the promotion effect of digital finance on enterprise entre-preneurship, and analyzes the differentiated choice of pricing strategy for platform enterprises under the situation that consumer data is known and unknown. Based on the linear city model, circular city model and vertical differentiation model, this paper constructs the competition system of platform enterprises in two situations: consumer data is known and consumer data is unknown, and reveals the influence of consumer data on the

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2

Yan, Xianguo, Ajun Cui, Yifei Li, Zhijun Li, and Rui Guo. "Exploration of performance appraisal Strategy based on Big data and enterprise Development investigate." Advances in Economics and Management Research 6, no. 1 (2023): 130. http://dx.doi.org/10.56028/aemr.6.1.130.2023.

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In recent years, the reform of the power system structure has gone deeper and deeper, and the national reform goals of "legal basis, separation of government and enterprise, subject regulation, fair trade, reasonable price and effective supervision" are also being implemented step by step. In the process of the rapid development of the system architecture of electric power enterprises, many private enterprises have also joined in the complicated market competition. The challenge of power grid status also means that it is necessary to carry out internal exploration to effectively meet the marke

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Matai, Puneet. "The Data - Driven Advantage - Crafting an Effective Enterprise Data Strategy for Financial Institutions." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1846–48. http://dx.doi.org/10.21275/sr24731194633.

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Xu, Yinghui, Xi Chen, Chuang Li, Lianzhu Ge, Haiyan Zhao, and Tianying Jiang. "Enterprise data security compliance strategy: A study based on typical cases." SHS Web of Conferences 157 (2023): 03015. http://dx.doi.org/10.1051/shsconf/202315703015.

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Data security compliance management is the fundamental premise that data application does not infringe on the interests of countries, enterprises and individuals. It is an important foundation for realizing the driving role of data elements. Based on the data security compliance management practices of typical enterprises at home and abroad, this paper summarizes the excellent practices of leading demonstration enterprises, and proposes six key strategies for enterprise data security compliance, including classification of typical data application scenarios, analysis of key links of data secur

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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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Morozova, Marina A., and Artur A. Azarov. "ANALYSIS OF A SERVICE STRATEGY FOR MANAGING BIG DATA IN SME." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/5, no. 141 (2023): 148–57. http://dx.doi.org/10.36871/ek.up.p.r.2023.12.05.018.

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Goal. The use of big data technology can significantly improve the efficiency of enterprise management and strengthen its viability. The development of the Internet based on the use of big data technologies is an effective means to overcome the financial problems faced by small and medium-sized enterprises. Service platforms using new information technologies such as the Internet, big data and the sharing economy have unique service advantages that can provide cost savings due to the scale and volume of services provided. Such platforms are of great practical importance for the healthy and rap

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Wang, Kang. "Dilemma and innovation countermeasures of enterprise marketing under the background of big data and Internet of Things." Journal of Computational Methods in Sciences and Engineering 24, no. 6 (2024): 3420–33. https://doi.org/10.1177/14727978241295901.

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This paper studies the dilemma and innovation countermeasures of enterprise marketing under the background of big data and Internet of Things. Through questionnaire survey and simulation data analysis, it is found that the development of big data and Internet of Things technology has brought new opportunities and challenges to enterprise marketing. Enterprises should make full use of new technologies, improve the precision of marketing, build a multi-channel and integrated marketing model, strengthen internal collaboration and innovation capabilities, and optimize policies, regulations, and in

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Chandra Sekhara Reddy Adapa. "Cloud-based Master Data Management: Transforming Enterprise Data Strategy." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1057–65. https://doi.org/10.32628/cseit25112436.

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Cloud-based Master Data Management (MDM) solutions are revolutionizing how organizations handle critical data assets in today's rapidly evolving digital landscape. These solutions offer enhanced scalability, flexibility, and real-time access capabilities that traditional on-premises systems struggle to match. By leveraging advanced technologies such as artificial intelligence, machine learning, and microservices architecture, cloud-based MDM enables organizations to achieve superior data quality, improved operational efficiency, and better business outcomes. The integration of blockchain techn

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Nan, Haoran, and Min Hu. "Corporate Marketing Strategy Analysis with Machine Learning Algorithms." Wireless Communications and Mobile Computing 2022 (August 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/9450020.

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In the continuous development of Chinese enterprises, the ability to use reasonable and scientific marketing strategies is directly related to the economic benefits and social development of the whole enterprise and even society. This paper explains the importance of standardized enterprise marketing strategies based on machine learning, and on the basis of grasping the characteristics of large capacity, variety, fast flow, and high value of big data, this paper outlines and analyzes the problems that generally exist in China’s enterprises in machine learning-based marketing, so as to provide

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Wu, Siqi, Yichuan Zhu, and Yanan Li. "Research on credit strategy of small, medium, and micro enterprises based on commercial banks." BCP Business & Management 22 (July 15, 2022): 280–85. http://dx.doi.org/10.54691/bcpbm.v22i.1240.

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In order to help banks formulate Credit Strategies for small, medium-sized and micro enterprises, this paper analyzes enterprises from two aspects. On the one hand, starting from the enterprise's data and from the enterprise's relevant data, including qualitative indicators such as reputation level, invoice information, credit record and operating income, a model is established to quantitatively analyze the operation status and reputation status of the enterprise. On the other hand, through the analysis of the "maximum lending rate" and "maximum lending rate" of the bank, we can analyze the "m

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Wang, Dandan, Ting Lin, and Hongmei Xu. "The Theoretical Topology and Implementation of Enterprise Social Security in the Digital Age Based on Big Data and Artificial Intelligence." Journal of Sensors 2022 (June 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/7814886.

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At present, there are some problems in the social security of employees in enterprises, such as incomplete security and low reliability. According to this background, this paper studies a topological method for enterprise social security data analysis based on data adaptive analysis strategy and strong learning data stream coprocessing. According to this background, this paper studies a topology method of enterprise social security data analysis based on data adaptive analysis strategy and strong learning data flow and designed a convolutional neural network method based on mutual interference

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12

Zhu, Ping, and Zhen Liu. "Research on Management Informatization Strategy of Coal Mine Enterprises." Geological and Mining Engineering 1, no. 1 (2023): 10. http://dx.doi.org/10.18686/gme.v1i1.3380.

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At present, in order to improve the efficiency of operation and management of coal mining enterprises, it is necessary to strengthen the integration of big data technology and enterprise management, use modern technology and science to effectively carry out work planning, and eliminate the phenomenon of non-compliance in the process of enterprise operation and management. Coal mining enterprises need to control the operation and management process, ensure the efficiency of enterprise operation and management, and also give full play to the maximum value of big data technology. In addition, it

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13

Dong, Ying, Zhongyuan Sun, and Luyi Qiu. "A Tripartite Evolutionary Game Analysis of Enterprise Data Sharing Under Government Regulations." Systems 13, no. 3 (2025): 151. https://doi.org/10.3390/systems13030151.

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The tripartite evolutionary game model focuses on the strategic choices and evolutionary laws of three parties in dynamic interaction. By constructing a tripartite evolutionary game model involving the government, Enterprise A, and Enterprise B, this paper analyzes the strategic choices of enterprise data sharing from the perspective of government regulation and uses the simulation method to assign and simulate the parameters of the model. Furthermore, the evolutionary trends of the behavioral strategies of the three parties are analyzed under the changes of factors such as the government’s re

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Chen, Yi, and Yinjin Xiao. "A Study on the Impact of Big Data Management on Business Agility—The Moderating Role of Corporate Strategy and Environmental Uncertainty." International Journal of Business and Management 18, no. 3 (2023): 169. http://dx.doi.org/10.5539/ijbm.v18n3p169.

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With the increasing uncertainty in the market environment and the integration of new IT technologies in business operations management, the use of big data management practices to increase operational agility has become a major concern for enterprises. Based on theories of dynamic capabilities and resource base, this paper analyses how big data management can contribute to the growth of enterprise agility and value, while incorporating the impact of environmental uncertainty and corporate strategy. The study found that:1.Big data infrastructure development, application management and human res

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Wu, Yingning. "Exploring the Influence of Big Data Technology on the Innovation of the Enterprise Economic Management Mode." Security and Communication Networks 2022 (May 19, 2022): 1–13. http://dx.doi.org/10.1155/2022/6241182.

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The aim of this study is to help financial enterprises establish a solid foundation in a big data ecosystem (BDE) and fully play their competitive edges in the fierce business competition. This paper innovatively conducts research studies on the reform of enterprise financial management. First, it expounds on the relevant concepts of big data technology (BDT) alongside financial management. Afterward, the impact of BDT on enterprise financial management is examined. Consequently, a financial enterprise-oriented economic management model is proposed by integrating BDT, enterprise economic manag

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Jiang, Hua, and Jing Wen. "Security Policy of Data in Enterprise Data Trusteeship Database." Advanced Materials Research 187 (February 2011): 358–61. http://dx.doi.org/10.4028/www.scientific.net/amr.187.358.

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As the low maintenance cost of data trusteeship, more and more medium-size and small size enterprises choose data trusteeship service. Data is valuable fortune of enterprise, security of enterprise data must be guaranteed in the condition of together using a same host. Data security includes data transmission security, data storage security and confidentiality security. The paper discusses the security problem and coping strategy of database data in a data trusteeship environment. Two-phase sub-keys encryption algorithm is used to encrypt the data and also analysis its usability and security.

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Żebrak, Dawid. "ENTERPRISE DEVELOPMENT STRATEGY. CASE STUDY." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 19, no. 3 (2018): 109–23. http://dx.doi.org/10.5604/01.3001.0013.0054.

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The contemporary market conditions and risks occurring in business activity enable enterprises to redefine their management system towards a more strategic approach. A company development strategy is the way in which the enterprise intends to perform its mission and reach its strategic goals. This strategy reflects different maners and company development range. The main aim of consideration is to be identified areas of the company’s development strategy in theoretical and empirical terms. This dissertation is a case study based on data collected from the clothing industry

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Huang, Dongmei. "Innovative Application of Big Data Combined with Machine Learning in Education and Training Product Marketing." Mobile Information Systems 2022 (May 9, 2022): 1–18. http://dx.doi.org/10.1155/2022/9169871.

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Education and training (EAT) enterprise C is taken as an example to enable EAT enterprises to choose appropriate marketing strategies according to their own characteristics to improve their competitiveness. The marketing of its EAT products is taken as the research object to analyze its marketing philosophy and marketing behavior. Initially, the marketing environment of EAT products is analyzed from macro aspects such as political environment, economic environment, and internal environment of enterprises and micro aspects such as peer competition, alternative competition, and bargaining power

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Guo, Yan, and Xiaojing Lyu. "Strategic Management Model of Network Organization Based on Artificial Intelligence and Modular Enterprise Big Data." Mobile Information Systems 2021 (November 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/1987430.

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Modularization has been a research hotspot in recent years. Among these, there are two issues that many scholars pay attention to. First, we must know what factors cause modularization, and secondly, what impact modularization has brought to enterprises. The era of information technology background makes enterprises have to deal with more and more complex information. The integration and application of internal knowledge resources also force enterprises to adjust their structure, so that knowledge can spread and create value within the enterprise more effectively. This paper, based on artifici

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Nandish Shivaprasad. "Enterprise Data Strategy for Azure and SQL Warehousing." Kuwait Journal of Software Design and Development 2, no. 1 (2024): 01–12. https://doi.org/10.52783/kjsdd.259.

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The features outlined in this paper cover several niches that comprise a scalable and secure data architecture design using Azure services and SQL warehousing solutions. It explains how enterprises can derive maximum value from their line of business applications and how BI and analytics can contribute to decision making. It also talks about the use of AI, machine learning and serverless concept in terms of scalability, security and performance. Some opportunities that are also considered in the Azure and SQL warehousing are also looked at as future trends, where real-time processing and impro

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Jihua, Sun, and Shi Lin. "Research on Data-driven Marketing Strategy Optimization." Journal of Business and Marketing 1, no. 2 (2024): 157–61. http://dx.doi.org/10.62517/jbm.202409224.

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With the rapid development of information technology and the advent of the big data era, data-driven marketing strategy optimization has gradually become an important means for enterprises to improve market competitiveness and efficiency. This study aims to explore how to optimize marketing strategies through data-driven methods to achieve market precision and personalization. Firstly, the study reviews the theoretical foundation and related research achievements of data-driven marketing strategy optimization. Secondly, through the collection and analysis of market data, machine learning and d

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Zhang, Xin. "Research on Enterprise Human Resource Management Reform Strategy in the Era of Big Data." Proceedings of Business and Economic Studies 7, no. 2 (2024): 184–90. http://dx.doi.org/10.26689/pbes.v7i2.6797.

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In the 21st century, with the development of the Internet, mobile devices, and information technology, society has entered a new era: the era of big data. With the help of big data technology, enterprises can obtain massive market and consumer data, realize in-depth analysis of business and market, and enable enterprises to have a deeper understanding of consumer needs, preferences, and behaviors. At the same time, big data technology can also help enterprises carry out human resource management innovation and improve the performance and competitiveness of enterprises. Of course, from another

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Anand, J. V. "Digital Transformation by Data Fabric." IRO Journal on Sustainable Wireless Systems 4, no. 3 (2022): 196–201. http://dx.doi.org/10.36548/jsws.2022.3.006.

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Many industries, including financial sector, telecommunications, transportation, and health care, are paying increasing attention to enterprise data fabrics. The continuous data expansion that enterprises are currently experiencing is being driven by digital transformation. As businesses adopt hybrid and multicloud settings, there is a big opportunity for managing data, but it has also greatly increased complexity. A data fabric is a concept that data executives are working over more and more, when it comes to choosing an architecture that supports and improves the data strategy. Enterprise da

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Dong, Ming, Lin Fan, and Xinyan Ma. "Research on the Current Situation and Innovation Strategy of Enterprise Performance Management in the Era of Big Data." International Research in Economics and Finance 6, no. 2 (2022): 18. http://dx.doi.org/10.20849/iref.v6i2.1181.

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The widespread use of big data technology has brought various convenience to enterprise management, and the application of big data technology to the performance management segment can promote enterprises to further deepen the reform, help the organizational structure of enterprises to be optimized and employees' abilities to be fully exploited, and promote enterprises to gain advantages in market competition and move forward in the competition of creating value for organizations and society in the new era. This paper firstly elaborates the three core dimensions of enterprise performance manag

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Cui, Yining, Yu Fang, Jia Luo, and Jixiao Zheng. "Discussion on the Strategy of Transforming Enterprise Financial Accounting into Management Accounting in The Era of Big Data." Frontiers in Business, Economics and Management 6, no. 2 (2022): 93–97. http://dx.doi.org/10.54097/fbem.v6i2.2815.

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The advent of the era of big data has caused great impact on enterprise financial management, but at the same time, enterprise financial management has also ushered in the opportunity of innovation and development. As a modern enterprise under the new economic situation, financial personnel should not only do a good job of self-positioning, but also conform to the development needs of the big data era, speed up the transformation and upgrading of enterprise financial accounting mode to management accounting mode, and formulate a transformation and upgrading scheme that is closely integrated wi

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Shao, Chun. "A study on credit strategy for small and medium-sized enterprises based on hierarchical analysis." Highlights in Business, Economics and Management 4 (December 12, 2022): 455–60. http://dx.doi.org/10.54097/hbem.v4i.3545.

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Micro, small and medium-sized enterprises (MSMEs) are enterprises with relatively small staff size and operation scale, which are important subjects for enhancing employment and scientific and technological innovation in China, as well as an important part of China's real economy, and play an irreplaceable role in promoting economic growth and social prosperity. This paper mainly provides research solutions to solve the credit decision problems of banks for MSMEs through quantitative analysis of credit risks of MSMEs, combined with the realistic basis for banks to pursue profit maximization an

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Hosavaranchi Puttaraju, Karthik. "Enterprise Data Product: A Digital Transformation Strategy for Developing Next-Generation Financial Solutions." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 1419–24. http://dx.doi.org/10.21275/sr241124063528.

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Xia, Huatian. "Resource Integration Efficiency Analysis of Precision Instrument under Data Mining." Frontiers in Business, Economics and Management 4, no. 2 (2022): 66–70. http://dx.doi.org/10.54097/fbem.v4i2.792.

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This study aims to explore the factors that affect the integration efficiency of resources in the use of various precision instruments by enterprises. A strategy to improve the resource integration efficiency of enterprises is proposed. Firstly, the theory and integration technology of precision instruments are described. Decision tree technology in the field of data mining technology is introduced as a basis. The effectiveness of computers for resource integration work is explored. The influence of resource integration efficiency is discussed from five factors: government subsidy, fiscal taxa

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Cai, Gang, and Chunmei Ni. "High-Reliability Business Management Strategy Analysis Based on GPRS Wireless Communication." Wireless Communications and Mobile Computing 2022 (March 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/2472988.

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Enterprise is an indispensable factor of production in the country’s economic and social development, and the operation of the enterprise is indispensable. The development of strategic operation of the enterprise is facing many problems, and the survival of the enterprise is facing serious threats. The purpose of this article is to study the method of establishing a reliable enterprise strategic management system based on GPRS wireless communication and neural network. Let the company continue to grow in a sustainable and healthy way. This article puts forward the importance of corporate strat

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Yang, Jing, Lili Lang, and Shaojuan Song. "A Study of Data-Driven Enterprise Human Resource Management Model." Discrete Dynamics in Nature and Society 2021 (November 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/7790583.

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With the deepening of diversified and professional business philosophy in large enterprises, enterprises play more and more abundant social functions in society. Sense of mission and honor play an important role in the healthy development of enterprises. With the in-depth integration of enterprise management and computer technology, some human resource management problems related to corporate social responsibility often appear in this process. From the traditional human resource management paradigm to people-oriented social responsibility human resource management, “strengthening effectiveness

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Lei, Zhixiang. "Research on Innovation and Risk Management of Enterprise Tax Planning under Big Data." SHS Web of Conferences 215 (2025): 01009. https://doi.org/10.1051/shsconf/202521501009.

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This paper discusses the innovation strategy and risk management of enterprise tax planning under big data. Through the impact of big data on enterprise tax planning, it proposes an innovation model of tax planning based on big data, and constructs a tax risk assessment index system. Studies have shown that the application of big data technology has significantly improved the accuracy and efficiency of tax planning, and at the same time enhanced the ability of enterprises to identify and respond to tax risks. This article provides theoretical and practical guidance for enterprises to optimize

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Fang, Zhongbin, Hongru Fan, Haoxin Huang, et al. "Bank Credit Strategy Model Based on AHP-Fuzzy Comprehensive Evaluation." Business and Management Studies 7, no. 1 (2021): 22. http://dx.doi.org/10.11114/bms.v7i1.5081.

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Credit risk control and credit strategy formulation of medium and micro enterprises have always been important strategic issues faced by commercial banks. Banks usually make corporate loan policies based on the credit degree, the information of trading bills and the relationship of supply-demand chain of the enterprise. In this paper, we established the AHP-Fuzzy comprehensive evaluation model for quantifying enterprise credit risk. Based on the relevant data of 123 enterprises with credit records, the credit strategy is formulated according to the three indicators of enterprise strength, ente

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Kun, Shao. "Enterprise Competitive Intelligence System Research Based on Data Mining Technology." Applied Mechanics and Materials 651-653 (September 2014): 1562–65. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1562.

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Under the background of current continuous changing market economy and rapid development of information, enterprise will increase the demand of information or data, and correspondingly put forward higher requirements for its quality. For the purpose of better usage and information data control, enterprises put forward pioneering construct competitive intelligence system. Competitive intelligence system can provide accurate, effective and high value, timeliness strong intelligence data to enterprises and the enterprises may adjust their competitive strategy, and effectively enhance their own co

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Zhao, Qingqing, Xintao Li, and Siqi Li. "Analyzing the Relationship between Digital Transformation Strategy and ESG Performance in Large Manufacturing Enterprises: The Mediating Role of Green Innovation." Sustainability 15, no. 13 (2023): 9998. http://dx.doi.org/10.3390/su15139998.

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In the era of the digital economy, digital technology brings new opportunities for enterprises’ development. The degree of enterprises’ digital transformation determines their development level and potential. At present, China’s “double carbon” policy is having a profound impact on the industry. The relationship between digital transformation strategy and environmental, social, and governance (ESG) performance is analyzed based on the digitalization and sustainable development goals of enterprises, and on the basis of positioning enterprise digital transformation level through the strategic al

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Zaitul, Zaitul, Chesren putri Jayanti, Delvi Okti Yasni, Anggela Wahyuni, Dandes Rifa, and Desi Ilona. "PENGARUH STRATEGI BISNIS TERHADAP KINERJA USAHA KECIL KULINER KEMASAN: SISTEM PENGENDALIAN MANAJEMEN SEBAGAI VARIABEL MODERASI." CURRENT: Jurnal Kajian Akuntansi dan Bisnis Terkini 4, no. 3 (2023): 582–98. http://dx.doi.org/10.31258/current.4.3.582-598.

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This study investigates the relationship between business strategy and small culinary enterprise performance. Besides, this study also examines the role of management control systems as moderating variables between business strategy and the performance of small enterprises. Thirty small culinary enterprises are participating in this study. This study uses the primary data collected through a survey. There are three types of variables in this study: dependent variable (performance), independent variables (business strategy) and moderating variables (management control system). Small Enterprise

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Zhang, Wei, Chaodan Yang, Ying Cheng, Haiying Chen, and Wei Wang. "Research on the Mechanism of the Sustainable Development Model of Enterprises Based on Big Data Analysis Model." Mobile Information Systems 2021 (November 26, 2021): 1–12. http://dx.doi.org/10.1155/2021/4469255.

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This paper adopts the analysis method of big data to conduct an in-depth analysis and research on the sustainable development mechanism of enterprises, firstly, combing the content and methods of enterprise business performance evaluation, defining enterprise sustainable development, and exploring the integration of enterprise sustainable development and enterprise business performance evaluation by specifically analyzing from different perspectives. Then, we analyze the industry in which the enterprise is located, its business situation, and strategy, and after analyzing the current business

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Potemkin, V. K., S. G. Mikhaylov, and S. B. Murashov. "Social resources in the industrial enterprise development strategy." Economics and Management, no. 6 (August 28, 2019): 43–49. http://dx.doi.org/10.35854/1998-1627-2019-6-43-49.

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Mainstreaming of the issue of resources in the implementation of enterprise development strategies makes it necessary to determine the extent of its impact on the efficiency and quality of labor, with a focus on the formation and use of a whole range of social resources. The presented study is based on a decade of comparative research that covers 19 industrial enterprises across Saint Petersburg to examine the effects of resources on the efficiency of an enterprise in pursuaing its strategic objectives.Aim. The study aims to substantiate the way resources increase performance and improve the e

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Liu, Yijing. "The Policy Effect of Digital Economy Strategy on the Development of Enterprise Intelligent Manufacturing: Quasi Natural Experiment Based on National Big Data Comprehensive Pilot Zones." Advances in Economics and Management Research 12, no. 1 (2024): 137. https://doi.org/10.56028/aemr.12.1.137.2024.

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In the background of digital change, intelligent manufacturing is the focus of enterprises to realize the deep integration of high-quality transformation and digital economy strategy. However, the policy function mechanism of big data business model construction on the development of enterprise intelligent manufacturing is still an unclear issue. This paper takes the establishment of the national big data comprehensive pilot zone as the quasi-natural experiment, based on the sample data of China's A-share listed companies from 2010 to 2020, and uses the multi-stage method to test the policy ef

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Jiao, Li, and Hui Li. "In the Era of Big Data, School Enterprise Cooperation, Production and Education Iintegration Build a Community of Common Destiny." E3S Web of Conferences 251 (2021): 01041. http://dx.doi.org/10.1051/e3sconf/202125101041.

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This paper is to construct the modern apprenticeship talent training mode of “intercommunication, integration, and advancement”, explore the road of school enterprise joint construction of Industrial College, and serve the national strategy and industrial development needs. This paper specialty and industry drive each other, seize the opportunity of a new round of scientific and technological revolution and industrial transformation, closely connected with the national strategy, deeply cooperate with industry-leading enterprises, face the new economy characterized by new industry, new technolo

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Atul Ramesh Bharmal. "Cloud-based master data management (MDM) solutions: Revolutionizing enterprise data strategy." International Journal of Science and Research Archive 14, no. 1 (2025): 754–65. https://doi.org/10.30574/ijsra.2025.14.1.0120.

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Cloud-based Master Data Management (MDM) solutions are revolutionizing how organizations handle critical data assets in today's rapidly evolving digital landscape. These solutions offer enhanced scalability, flexibility, and real-time access capabilities that traditional on-premises systems struggle to match. By leveraging advanced technologies such as artificial intelligence, machine learning, and microservices architecture, cloud-based MDM enables organizations to achieve superior data quality, improved operational efficiency, and better business outcomes. This comprehensive article explores

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Su, Yi, and Xue Wang. "The Influence of Entrepreneurs’ Political Connections on Enterprise Innovation Intention." International Journal of Innovation and Technology Management 17, no. 03 (2020): 2050020. http://dx.doi.org/10.1142/s0219877020500200.

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Based on the data of the Growth Enterprise Market (GEM)-listed companies in the Shenzhen Stock Exchange of China, this paper researched the influence mechanism of political connections on enterprise innovation intention. This paper is based on the theory of reciprocal exchange of social capital. The research found that the entrepreneur’s political connections are detrimental to the improvement of enterprise innovation intention, and the differentiation strategy has a mediation effect between them. Moreover, the market competition intensity of enterprise production adjusts the influence of the

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Kutsyk, Petro. "COGNITIVE APPROACH TO THE FORMATION OF COMPANY STRATEGY BASED ON DATA MINING AND SWOT-ANALYSIS." Economic Analysis, no. 32(2) (2022): 243–51. http://dx.doi.org/10.35774/econa2022.02.243.

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The problems of generation of enterprise strategy in the context of the introduction of strategic management at domestic enterprises in conditions of limited resources are studied. Algorithms for the use of "data mining" and artificial neural networks for conducting strategic analysis and generating patterns of strategic alternatives for enterprise behavior in a dynamic business environment based on the principle of SWOT methodology are considered. A systematized task that can be solved using the "data mining" system and neural network methods of deep analysis ("BigData") in modern economic ac

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Kirzhetska, M., та Yu Kirzhetskyy. "Рeculiarities of the companys digital strategy depending on the business size". Galic'kij ekonomičnij visnik 66, № 5 (2020): 7–15. http://dx.doi.org/10.33108/galicianvisnyk_tntu2020.05.007.

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The purpose of this investigation is to initiate the discussion of the digital strategy and its differences for the enterprises depending on the business size. The objective of this investigation is to define the essence of digital strategy for enterprises depending on the enterprise business size. In order to achieve this goal the following scientific tasks are defined: to reveal the essence of the concept of the enterprise digital strategy; to determine the components of the enterprise digital strategy depending on the s business. In order to achieve these objectives, analysis of indicators

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Liu, Tingting. "Data Security Risk Assessment and Response Strategy for Large Language Models." Journal of Industrial Engineering and Applied Science 2, no. 4 (2024): 104–9. https://doi.org/10.5281/zenodo.13117905.

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In the era of artificial intelligence, large language models (LLMs) feature both positives and negatives when it comes to data security. The purpose of this paper is to present detailed recommendations for evaluating and managing the risks of data security connected with LLMs, using contemporary artificial intelligence algorithms and cloud-based information technologies. These are data asset categorization and rating, risk assessment models, and the observation of legal requirements and best practices regarding data safety. Key findings’ main message is the criticality of the systematic

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Hu, Nan, Yun Wan, Chen Ye, and Ling Liu. "Business Blogging and Enterprise Strategy." International Journal of E-Entrepreneurship and Innovation 3, no. 2 (2012): 1–13. http://dx.doi.org/10.4018/jeei.2012040101.

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Some experts are concerned that blogging may be in conflict with other more controlled public relation activities and suspect that only those companies in bad financial shape would resort to business blogging as a cheap attempt. Using data collected from Fortune 500 Business Blogging Wiki, the authors demonstrated that business blogging can be used as a new strategic tool for companies to sustain their existing competitive advantages. The authors found business blogging tend to correlated with higher sales, lower cost of goods, and reduced advertising expenses for companies. They also found th

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Wang, Liyi. "Credit Strategy Design of Small and Medium-Sized Enterprises." Proceedings of Business and Economic Studies 5, no. 3 (2022): 30–39. http://dx.doi.org/10.26689/pbes.v5i3.3850.

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Small and medium-sized enterprises play an important role in promoting social and economic growth, which is an important foundation for the development of China’s national economy. From the perspective of bank interests, this paper uses the invoice data of small and medium-sized enterprises to evaluate their credit risk and formulates corresponding bank credit strategies for these enterprises in different industries and properties. Firstly, the credit risk identification factor system is constructed by using feature engineering, and the quantitative model of enterprise credit risk is built bas

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Mao, Wangxiao. "Optimal credit strategy for MSMEs." SHS Web of Conferences 169 (2023): 01004. http://dx.doi.org/10.1051/shsconf/202316901004.

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We address two main issues: one is to quantify the credit risk of enterprises and establish a complete credit risk system, and the other is to give the optimal credit risk strategy for banks. We first analyze and pre-process the data. From the data, we extracted a series of indicators such as the total amount of input and output, and the length of operation. We analyze the credit risk in three directions: strength, stability of supply and demand, and creditworthiness, and establish a credit risk quantification system for the enterprise. Then we quantify the credit risk of the enterprise by ent

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Harastovska, A., and O. Pіetukhova. "Marketing strategy of dairy industry enterprises: essence of the concept and features of formation." Scientific Works of National University of Food Technologies 28, no. 6 (2022): 27–36. http://dx.doi.org/10.24263/2225-2924-2022-28-6-4.

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The article considers the concept of «marketing strategy» based on the analysis of scientific approaches of economists, both domestic and foreign. The lack of a unified interpretation of the "marketing strategy" was established. On the basis of the analyzed interpretations the own definition is formed. The article examines the essential characteristics of the concept of "marketing strategy" of the enterprise and summarizes the main aspects. It is determined that the marketing strategy of the enterprise is a general philosophy of doing business in the context of globalization, and it takes into

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Zhong, Ming, and Fuangfa Amponstira. "Influence of Top Management Supports on Informationization Performance: Based on the Mediating Role of Informationization Strategy." International Business Research 14, no. 11 (2021): 71. http://dx.doi.org/10.5539/ibr.v14n11p71.

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Based on cognitive theory and high-level echelon theory, this paper studies the impact of executive support on the performance of enterprise informatization. Constructed the relationship model of corporate executive support, informatization strategy and informatization reform. Through a questionnaire survey of enterprises in Guangdong Province, China, a total of 420 valid questionnaires was collected, and the data were empirically analyzed using SPSS25 statistical software. The paper found that: executive support positively affects enterprise information performance. Information strategy posit

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Az Zurqi, Ayyasy, Arif Imam Suroso, and Asep Taryana. "Formulation of Knowledge Management Strategy for Manufacturing Enterprise in Industry 4.0 Era." International Journal of Research and Review 11, no. 9 (2024): 169–79. http://dx.doi.org/10.52403/ijrr.20240919.

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This research aimed to study knowledge management (KM) strategy in manufacturing enterprise. Data were collected from 4 experts to formulate many alternative KM strategy, and then analysed using Analytical Hierarchy Process (AHP) by considering some factors and knowledge management process refer to Asia Productivity Organization (APO) knowledge management framework. The enterprise business strategy was also considered as AHP’s hierarchy. The results indicated that most important factor that can accelerate KM was ‘Leadership’, the most important knowledge management process was knowledge sharin

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