Author(s)

Xujian Pan ¹

Affiliation(s)

¹ Jiangxi University of Applied Science, Nanchang, 330100, China

Corresponding Author

Xujian Pan

ABSTRACT

With the swift advancement of big data technologies, enterprise management is experiencing transformative changes on an unprecedented scale. Big data not only furnishes enterprises with abundant informational assets but also presents novel opportunities and obstacles for management innovation. This paper aims to investigate the innovative trajectories of enterprise management in the big data era, analyzing its profound influence on decision-making support, resource distribution, and process refinement. It emphasizes key approaches to management innovation, including digitalization, the establishment of data-oriented intelligent decision-making frameworks, and cultural evolution within organizations. By incorporating case analyses and empirical studies, this paper identifies potential challenges enterprises might encounter during the adoption of big data-driven innovations, such as data confidentiality concerns and technological hurdles, and proposes corresponding solutions. Furthermore, it envisions the future trajectory of big data technologies, highlighting the integration of artificial intelligence, cloud computing, and other advanced technologies as catalysts for the continual enhancement and evolution of enterprise management models. This research offers both theoretical insights and actionable recommendations for organizations striving to innovate their management practices in the context of big data.

KEYWORDS

Big data, business management, innovation paths, digital transformation, intelligent decision making

CITE THIS PAPER

Xujian Pan, Research on Enterprise Management Innovation Path in the Era of Big Data. Industrial Engineering and Innovation Management (2024) Vol. 7: 88-94. DOI: http://dx.doi.org/10.23977/ieim.2024.070410.

REFERENCES

[1] Fang S, Xu L, Zhu Y, et al. An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things [J].IEEE Transactions on Industrial Informatics, 2014, 10(2):1596-1605.DOI:10.1109/ TII.2014. 2302638.
[2] Li H, Ji Y, Luo G, et al. A modular structure data modeling method for generalized products[J].International Journal of Advanced Manufacturing Technology, 2016, 84(1-4):197-212.DOI:10.1007/s00170-015-7815-6.
[3] Lv X, Li M. Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data[J].Mobile Information Systems, 2021, 2021(16):1-6.DOI:10.1155/2021/6515792.
[4] Li X, Wang J, Yang C. Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy[J].Neural Computing and Applications, 2023, 35(3):2045-2058.DOI:10.1007/s00521-022-07377-0.
[5] Pan M, Leung P S, Pooley S G.A Decision Support Model for Fisheries Management in Hawaii: A Multilevel and Multiobjective Programming Approach[J].North American Journal of Fisheries Management, 2001, 21(2):293-309.DOI:10.1577/1548-8675(2001)021<0293:ADSMFF>2.0.CO;2.
[6] Wu D, Birge J R. Risk Intelligence in Big Data Era: A Review and Introduction to Special Issue[J].IEEE Transactions on Cybernetics, 2016, 46(8):1718-1720.DOI:10.1109/TCYB.2016.2580239.
[7] Ellin E. Tracking innovation: The need for reliable measures of its presence and effects[J].Technovation, 1981, 1(1):69-80.DOI:10.1016/0166-4972(81)90008-0. 
[8] Zong W, Wu F, Jiang Z.A Markov-Based Update Policy for Constantly Changing Database Systems[J].IEEE Transactions on Engineering Management, 2017, 64(3):287-300.DOI:10.1109/TEM.2017.2648516.
[9] Khaleel H, Conzon D, Kasinathan P, et al.Heterogeneous Applications, Tools, and Methodologies in the Car Manufacturing Industry Through an IoT Approach[J].IEEE Systems Journal, 2017, 11(3):1412-1423.DOI:10.1109/ JSYST. 2015.2469681.
[10] Wang G, Wang Y. Innovative Marketing Framework for Enterprises Using Edge-Enabled Data Analysis[J].Mobile Information Systems, 2021, 2021(4):1-8.DOI:10.1155/2021/6699420.

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics