Skip to main content

Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem

  • Conference paper
  • First Online:
  • 477 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12280))

Abstract

In recent years, the expectation that new businesses and economic value can be created by combining/exchanging data from different fields has risen. However, value creation by data exchange involves not only data, but also technologies and a variety of stakeholders that are integrated and in competition with one another. This makes the data exchange ecosystem a challenging subject to study. In this paper, we propose a framework for describing the stakeholder-centric value chain (SVC) of data by focusing on the relationships among stakeholders in data businesses and discussing creative ways to use them. The SVC framework enables the analysis and understanding of the structural characteristics of the data exchange ecosystem. We identified stakeholders who carry potential risk, those who play central roles in the ecosystem, and the distribution of profit among them using business models collected by the SVC.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Balazinska, M., Howe, B., Suciu, D.: Data markets in the cloud: an opportunity for the database community. The VLDB Endowment 4(12), 1482–1485 (2011)

    Article  Google Scholar 

  2. Liang, F., Yu, W., An, D., Yang, Q., Fu, X., Zhao, W.: A survey on big data market: pricing, trading and protection. IEEE Access 6, 15132–15154 (2018)

    Article  Google Scholar 

  3. Stahl, F., Schomm, F., Vossen, G.: Data marketplaces: an emerging species. In: Frontiers in Artificial Intelligence and Applications, pp. 145–158 (2014)

    Google Scholar 

  4. Spiekermann, M.: Data marketplaces: trends and monetisation of data goods. Intereconomics 54(4), 208–216 (2019)

    Article  Google Scholar 

  5. Xu, L., Jiang, C., Wang, J., Yuan, J., Ren, Y.: Information security in big data: privacy and data mining. IEEE Access 2, 1149–1176 (2014)

    Article  Google Scholar 

  6. Line, N., Dogru, T., El-Manstrly, D., Buoye, A., Malthouse, E., Kandampully, J.: Control, use and ownership of big data: a reciprocal view of customer big data value in the hospitality and tourism industry. Tourism Manage. 80, 104106 (2020)

    Article  Google Scholar 

  7. Yoo, Y., Henfridsson, O., Lyytinen, K.: The new organizing logic of digital innovation: an agenda for information systems research. Inf. Syst. Res. 21(4), 724–735 (2010)

    Article  Google Scholar 

  8. Ohsawa, Y., Kido, H., Hayashi, T., Liu, C., Komoda, K.: Innovators marketplace on data jackets, for valuating, sharing, and synthesizing data. In: Tweedale, J.W., Jain, L.C., Watada, J., Howlett, R.J. (eds.) Knowledge-Based Information Systems in Practice. SIST, vol. 30, pp. 83–97. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-13545-8_6

    Chapter  Google Scholar 

  9. Hayashi, T., Ohsawa, Y.: Retrieval system for data utilization knowledge integrating stakeholders’ interests. In: AAAI Spring Symposium (2018)

    Google Scholar 

  10. Hayashi, T., Ohsawa, Y.: Context-based network analysis of structured knowledge for data utilization, In: AAAI Spring Symposium (2019)

    Google Scholar 

  11. Hayashi, T., Ohsawa, Y.: Processing combinatorial thinking: Innovators marketplace as role-based game plus action planning. Int. J. Knowl. Syst. Sci. 4(3), 14–38 (2013)

    Article  Google Scholar 

  12. Deloitte LLP, Open growth: Stimulating Demand for Open Data in the UK, Deloitte LLP (2012)

    Google Scholar 

  13. Yoshizawa-Watanabe, S., Kunigami, M., Takahashi, S., Terano, T., Yoshikawa, A.: Pictogram network: evaluating english composition skills. In: IEEE International Professional Communication Conference, pp. 1–6 (2012)

    Google Scholar 

  14. Barabási, A.L.: Network Science. Cambridge University Press (2016)

    Google Scholar 

  15. Newman, M.E.J.: Assortative mixing in networks. Phys. Rev. Lett. 89(20), 208701 (2002)

    Article  Google Scholar 

  16. Quix, C., Chakrabarti, A., Kleff, S., Pullmann, J.: Business process modelling for a data exchange platform. In: Proceedings of the 29th International Conference on Advanced Information Systems Engineering, pp. 153–160 (2017)

    Google Scholar 

  17. Levchuk, G., Roberts, J., Freeman, J.: Learning and detecting patterns in multi-attributed network data. In: AAAI Fall Symposium Series (2012)

    Google Scholar 

  18. Ito, H., Komatsu, T., Amagasa, T., Kitagawa, H.: Detecting communities and correlated attribute clusters on multi-attributed graphs. IEICE Trans. Inf. Syst. 102(4), 810–820 (2019)

    Article  Google Scholar 

Download references

Acknowledgement

This study was supported by the JSPS KAKENHI (JP19H05577 and JP20H02384), and the Artificial Intelligence Research Promotion Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Teruaki Hayashi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hayashi, T., Ishimura, G., Ohsawa, Y. (2021). Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem. In: Uehara, H., Yamaguchi, T., Bai, Q. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2021. Lecture Notes in Computer Science(), vol 12280. Springer, Cham. https://doi.org/10.1007/978-3-030-69886-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-69886-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69885-0

  • Online ISBN: 978-3-030-69886-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics