skip to main content
10.1145/3301551.3301610acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicitConference Proceedingsconference-collections
research-article

Research on the Transformation and Upgrading Path and Selection of Traditional Industries from the Perspective of Big Data

Published: 29 December 2018 Publication History

Abstract

With the emergence of a new generation of information technology, big data has become an important driving force for current social development. Digitalization has become the main direction of the transformation and upgrading of traditional industries. As the product of current informatization, big data includes data quantity, data quality and data analysis ability. It is used as two different ways to interpret the value creation of big data, making it clear that it can promote the transformation and upgrading of traditional industries through value creation. Then, it puts forward the traditional industrial transformation and upgrading path from the perspective of big data, namely the linear path of "traditional industry + digital" and the transitional non-linear "digital + traditional industry". Its path selection will be analyzed by combining external and internal factors.

References

[1]
Liu Gang, Ma Benben. 2016.Study on organization and mechanism of data-driven economic development {J}. Economic Aspect,(12),39--45.
[2]
Lin Yifu, Dong Xian 'an. 2003. Informatization, Economic Growth and Social Transformation. Project commissioned by the National Leading Group on Informatization. Long Research Report.
[3]
CM Correa. 2006.Considerations on the Standard Material Transfer Agreement Under the FAO Treaty on Plant Genetic Resources for Food and Agriculture{J}.Journal of World Intellectual Property, 9(02):137--165.
[4]
Jalava Jukka, Pohjola Matti.2007. ICT as a source of output and productivity growth in Finland{J}.Telecommunications Policy, 31(8-9):463--472.
[5]
MS Kim, Y Park. 2009.The changing pattern of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s?{J}. Technological Forecasting & Social Change, 76(5):688--699.
[6]
Han Xianfeng, Hui Ning, Song Wenfei. 2014.Can Informatization Improve the Efficiency of Technological Innovation in China's Industrial Sector {J}. China Industrial Economy, (12), 70--82.
[7]
J Rifkin. 2011. The third industrial revolution: how lateral power is transforming energy, the economy, and the world{M}. Palgrave Macmillan, 12--18.
[8]
Chen Yuyu, Wu Yuli.2008.The Impact of Informatization on The Labor Market: Estimation of Return on PC Use {J}. Economics (quarterly), (04), 1149--1166.
[9]
Wu Kun.2009. Promoting the Transfer of Rural Surplus Labor through Informatization {J}. World Research,(12), 33--34.
[10]
Liu Hui, Wu Xiaobo.2003.Theoretical Analysis of Informatization Promoting Traditional Industrial Upgrading {J}. Scientific and Technological Progress and Countermeasures, (01), 52--54.
[11]
Benner, M J, and Tushman, M L. 2003. Exploitation, exploration, and process management: The productivity dilemma revisited{J}.Academy of Management Review, 28(2):238--256.

Index Terms

  1. Research on the Transformation and Upgrading Path and Selection of Traditional Industries from the Perspective of Big Data

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      ICIT '18: Proceedings of the 6th International Conference on Information Technology: IoT and Smart City
      December 2018
      344 pages
      ISBN:9781450366298
      DOI:10.1145/3301551
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • The Hong Kong Polytechnic: The Hong Kong Polytechnic University
      • TU: Tianjin University

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 December 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Big data
      2. The path
      3. Traditional industries
      4. Transformation and upgrading

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Funding Sources

      • Shaanxi social science project
      • Shaanxi Provincial Department of Education
      • Innovation Funds of Graduate Programs of Xi?an University of Posts & Telecommunications

      Conference

      ICIT 2018
      ICIT 2018: IoT and Smart City
      December 29 - 31, 2018
      Hong Kong, Hong Kong

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 131
        Total Downloads
      • Downloads (Last 12 months)7
      • Downloads (Last 6 weeks)3
      Reflects downloads up to 20 Feb 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media