Skip to main content

The Effects of Big Data on Media Management

  • Chapter
  • First Online:
Media and Change Management

Abstract

This chapter discusses how big data sets from digital media environments are creating change-management challenges for media organizations. We discuss the data and analytics factors that have driven these changes and, in doing this, anticipate how these factors will affect the media industries in the future. Next, we propose a framework for how media organizations should manage such changes, including people, processes, data and technology, and incentives. We close by identifying emerging factors that will likely have substantial effects—either positive or negative—in the future.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Similar content being viewed by others

References

  • Abdollahpouri, H., Malthouse, E. C., Konstan, J. A., Mobasher, B., & Gilbert, J. (2021, April). Toward the next generation of news recommender systems. In Companion proceedings of the web conference 2021 (pp. 402–406).

    Chapter  Google Scholar 

  • Abernathy, P. M. (2018). The expanding news desert. In Center for Innovation and Sustainability in local media. University of North Carolina at Chapel Hill.

    Google Scholar 

  • Adomavicius, G., & Tuzhilin, A. (2011). Context-aware recommender systems. In F. Ricci, B. Shapira, L. Rokach, & P. B. Kantor (Eds.), Recommender systems handbook (pp. 217–253). Springer.

    Chapter  Google Scholar 

  • Bennett, J., & Lanning, S. (2007, August). The netflix prize. In Proceedings of KDD cup and workshop (p. 35).

    Google Scholar 

  • Busch, O. (2016). Programmatic advertising (Vol. 10, pp. 978–973). Springer.

    Book  Google Scholar 

  • Ekstrand, M. D., Riedl, J. T., & Konstan, J. A. (2011). Collaborative filtering recommender systems. Foundations and Trends® in Human–Computer Interaction, 4(2), 81–173.

    Article  Google Scholar 

  • Greene, J. K. (2017). The resuscitation of normative privacy. The Journal of Value Inquiry, 51(3), 383–395.

    Article  Google Scholar 

  • Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311–330.

    Article  Google Scholar 

  • Hofacker, C. F., Malthouse, E. C., & Sultan, F. (2016). Big data and consumer behavior: Imminent opportunities. Journal of Consumer Marketing, 33(2), 89–97.

    Article  Google Scholar 

  • Huh, J., & Malthouse, E. C. (2020). Advancing computational advertising: Conceptualization of the field and future directions. Journal of Advertising, 49(4), 367–376.

    Article  Google Scholar 

  • Leskovec, J., Rajaraman, A., & Ullman, J. D. (2020). Mining of massive data sets. University Press.

    Book  Google Scholar 

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

    Article  Google Scholar 

  • Malthouse, E. C., Buoye, A., Line, N., El-Manstrly, D., Dogru, T., & Kandampully, J. (2019). Beyond reciprocal: The role of platforms in diffusing data value across multiple stakeholders. Journal of Service Management, 30(4), 507–518.

    Article  Google Scholar 

  • Malthouse, E. C., Maslowska, E., & Franks, J. U. (2018). The role of big data in programmatic tv advertising. In Advances in advertising research IX (pp. 29–42). Springer Gabler.

    Google Scholar 

  • Malthouse, E. C., & Li, H. (2017). Opportunities for and pitfalls of using big data in advertising research. Journal of Advertising, 46(2), 227–235.

    Article  Google Scholar 

  • Mortimer, J. H., Nosko, C., & Sorensen, A. (2012). Supply responses to digital distribution: Recorded music and live performances. Information Economics and Policy, 24(1), 3–14.

    Article  Google Scholar 

  • Orr, M. (2019). Lean out: The truth about women. Power and the Workplace.

    Google Scholar 

  • Page, S. (2017). The diversity bonus: How great teams payoff in the knowledge economy. Press.

    Book  Google Scholar 

  • Ponemon Institute. (2020). 2020 Cost of a Data Breach Study: Global Overview, Ponemon Institute. https://www.ibm.com/security/data-breach.

  • Schmidt, E., & Rosenberg, J. (2014). How google works. Hachette UK.

    Google Scholar 

  • Spears, V. P. (2008). The case that started it all: Roberson v. the Rochester folding box company. Privacy & Data Security Law Journal, 11, 1043–1050.

    Google Scholar 

  • Walker, R. (2015). From big data to big profits: Success with data and analytics. Oxford University Press.

    Book  Google Scholar 

  • Vigdor, N. (2019). Judge orders Alex Jones and Infowars to pay $100,000 in Sandy hook legal fees. New York Times. https://www.nytimes.com/2019/12/31/us/Alex-Jones-sandy-hook.html

    Google Scholar 

  • Yun, J. T., Segijn, C. M., Pearson, S., Malthouse, E. C., Konstan, J. A., & Shankar, V. (2020). Challenges and future directions of computational advertising measurement systems. Journal of Advertising, 49(4), 446–458.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Edward C. Malthouse .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Green, G.A., Malthouse, E.C. (2022). The Effects of Big Data on Media Management. In: Karmasin, M., Diehl, S., Koinig, I. (eds) Media and Change Management. Springer, Cham. https://doi.org/10.1007/978-3-030-86680-8_4

Download citation

Publish with us

Policies and ethics