The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era

  • Chian-Hsueng ChaoEmail author
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


The challenges of the global marketplace and the growing complexity of business philosophies and technologies mix, the enterprises are forced to utilize knowledge, capabilities, and resources to be found within and outside their information processing networks. The enterprises are demanding more than just access to data, they want processed and refined big data and information to help them to reach more responsive and effective tactical decisions. Under this paradigm shift, data and information-oriented productivity depends on the sharing of knowledge and skills among workers, so that enterprise strategies can be driven by the collective intelligence and competence of the group to face business challenges and enable organizational learning and innovations. In the cloud computing and big data era, management of enterprise knowledge to create business values and competitive advantages is especially important for supply chain practices. This paper focuses on the development of enterprise information processing network and application framework that bind organizational strategies, business processes, data, information, technologies, and people together to better utilize knowledge in business practices. The ultimate goal is the transformation of an enterprise network into a knowledge network for supply chain organic innovations!


Information processing network Knowledge management Supply chain management Big data analytics 


  1. 1.
    Computer Science Corporation (2000) “@ insights. A look at business transformation in today’s e-world”. Computer Science Corporation (CSC), 4–7Google Scholar
  2. 2.
    Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute (MGI), San Francisco, CA, pp 1–137 Google Scholar
  3. 3.
    Herodotou H, Lim H, Luo G, Borisov N, Dong L, Cetin FB, Babu S (2011) Starfish: a self-tuning system for big data analytics. In: Proceedings of the Fifth CIDR ConferenceGoogle Scholar
  4. 4.
    Porter M (1985) Competitive advantage: creating and sustaining superior performance. The Free Press, NYGoogle Scholar
  5. 5.
    Kuglin FA (1998) Customer-centered supply chain management: a link-by-link guide. AMACOM, a Division of American Management Association, New YorkGoogle Scholar
  6. 6.
    Gale T, Eldred J (1996) Getting results with the object-oriented enterprise model. SIGS Publications, Inc., New YorkGoogle Scholar
  7. 7.
    Curran TA, Ladd A, Keller G (2000) SAP R/3 business blueprint, understanding enterprise supply chain management. Prentice Hall, Inc, SydneyGoogle Scholar
  8. 8.
    Wang ET (2003) Effect of the fit between information processing requirements and capacity on organizational performance. Int J Inf Manage 23(3):239–247CrossRefGoogle Scholar
  9. 9.
    Don Tapscott, (1999) Creating value in the new economy. Harvard Business Press, Cambridge, MAGoogle Scholar
  10. 10.
    LaValle Steve et al (2011) Big data, analytics and the path from insights to value. MIT Sloan Manag Rev 52(2):21–32Google Scholar
  11. 11.
    Senge PM (1990) The fifth discipline: the art and practice of the learning organization. Doubleday, Currency NYGoogle Scholar
  12. 12.
    Alen BJ (1999) Knowledge capitalism, business, work, and learning in the new economy. Oxford University Press, Oxford, pp. 56Google Scholar
  13. 13.
    Laugero G, Globe A (2002) Enterprise content services, connecting information and profitability. Addison Wesley, NYGoogle Scholar
  14. 14.
    Tiwana A (2000) The knowledge management toolkit, practical technique for building a knowledge management system. Prentice Hall, Upper Saddle River, NJGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Information ManagementNational University of KaohsiungKaohsiungR. O. C

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