How Big Data Patents Affect Enterprise Data Technology's Impact on Market Value and Profitability

Authors

  • Shah Mehmood Wagan Sichuan University
  • Sidra Sidra Sichuan University

DOI:

https://doi.org/10.5195/emaj.2023.338

Keywords:

Data Elements, Data Technology Capabilities, Complementary Inputs, Big Data Patents, Market Value and Profitability

Abstract

This paper explores in detail the impact of enterprise data technology capabilities on market value and profits. Using big data patent statistics closely related to data collection, analysis and application as a measurement standard, the study reveals the positive role of enterprise data technology capabilities in significantly improving market value, especially in the financial and wholesale and retail industries. However, despite the huge potential, most companies still face many challenges in converting this technological advantage into actual profits, and in some cases even have an adverse impact on the profits of industrial enterprises. It is worth noting that industrial internet supplier companies have successfully achieved a double leap in market value and profits with their comprehensive investment in R&D, capital, government subsidies and IT infrastructure. Based on this, the study puts forward a series of suggestions to promote enterprises to strengthen data technology capabilities, increase complementary investments, develop diversified application scenarios and profit models, and further improve data market mechanisms and infrastructure construction to comprehensively promote the effective development and utilization of data. In order to continue to promote the development and utilization of data by various market entities in USA, it is recommended to focus on improving enterprise data technology capabilities, increase complementary investments, develop application scenarios and profit models for data technologies, cultivate professional data service institutions, and promote the construction of data factor market mechanisms and infrastructure.

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Published

2024-11-20

Issue

Vol. 13 No. 2 (2023)

Section

Articles

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Copyright (c) 2024 Shah Mehmood Wagan, Sidra Sidra

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