Skip to main content
SpringerLink
Log in

Product Data Analytics Service Model for Manufacturing Company

  • Conference paper
  • First Online:
Knowledge Management in Organizations (KMO 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 224))

Included in the following conference series:

Abstract

Manufacturers are using data obtained from sensors embedded in products to create innovative after-sales service offerings. Service offers companies significant opportunities to create and capture economic value. Firms are increasingly focusing on how they can deliver services that help their customers deliver value. Service providers are shifting from being ‘doers’ to becoming ‘problem solvers’, capable of orchestrating the delivery of complex services. ABC, a product manufacturing company is moving from a product manufacturer to a product-service system (PSS). However, the shift from a product to a PPS system is not trivial. This case study shows how the use of the product data analytics service (PDAS) model can help companies who are contemplating using Big Data to provide competitive services. Understanding what is happening in the shift to services is vital to the future success of all product companies.

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

Access this chapter

Log in via an institution
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

Institutional subscriptions

References

  1. Harreld, H.: Data Analysis to Rule a New Manufacturing Era – Part 1 Spotfire Blogging Team 2014. TIBCO Software Inc. (2014). http://spotfire.tibco.com/blog/?p=17593. Accessed 9 December 2014

  2. Johnson, M.D., Selnes, F.: Customer portfolio management: toward a dynamic theory of exchange relationships. J. Mark. 68, 1–17 (2004)

    Article  Google Scholar 

  3. Gebauer, H., Edvardsson, B., Gustafsson, A., Witell, L.: Match or mismatch: strategy-structure configurations in the service business of manufacturing companies. J. Serv. Res. 13(2), 198–215 (2010)

    Article  Google Scholar 

  4. Fang, E., Palmatier, R.W., Steenkamp, J.B.E.M.: Effect of service transition strategies on firm value. J. Mark. 72(4), 1–14 (2008)

    Article  Google Scholar 

  5. Pawar, K.S., Beltagui, A., Riedel, J.C.K.H.: The PSO triangle: designing product, service and organization to create value. Int. J. Oper. Prod. Manag. 29(5), 468–493 (2009)

    Article  Google Scholar 

  6. Goedkoop, M., van Halen, C., Riele, T., Rommens, P.: Product Service Systems, Ecological and Economic Basics Report 1999/36. VROM, The Hague (1999)

    Google Scholar 

  7. Neely, A.: What is Servitization? (2013). http://andyneely.blogspot.co.uk/2013/11/what-is-servitization.html. Accessed 11 December 2014

  8. Cohen, M.A., Agrawal, N., Agrawal, V.: Winning in the aftermarket. Harvard Bus. Rev. 84(5), 29–138 (2006)

    Google Scholar 

  9. Neely, A.: Exploring the financial consequences of the Servitization of manufacturing. Oper. Manag. Res. 1(2), 103–118 (2008)

    Article  Google Scholar 

  10. Bowen, D., Siehl, C., Schneider, B.: A framework for analyzing customer service orientations in manufacturing. Acad. Manag. Rev. 14(1), 75–95 (1989)

    Google Scholar 

  11. Aurich, J.C., Mannweiler, C., Schweitzer, E.: How to design and offer services successfully. CIRP J. Manufact. Sci. Technol. 2(3), 136–143 (2010)

    Article  Google Scholar 

  12. Vargo, S.L., Lusch, R.F.: Service-dominant logic: continuing the evolution. J. Acad. Mark. Sci. 36(1), 1–10 (2008)

    Article  Google Scholar 

  13. Gebauer, H., Fleisch, E., Friedli, T.: Overcoming the service paradox in manufacturing companies. Eur. Manag. J. 23(1), 14–26 (2005)

    Article  Google Scholar 

  14. Baines, T.S., Lightfoot, H.W., Peppard, J., Johnson, M., Tiwari, A., Shebab, E., Swink, M.: Towards an operations strategy for product-centric servitization. Int. J. Oper. Prod. Manag. 29(5), 494–519 (2009)

    Article  Google Scholar 

  15. Smith, L., Maull, R., CLNg, I.: Servitization and operations management: a service dominant-logic approach. Int. J. Oper. Prod. Manag. 34(2), 242–269 (2014)

    Article  Google Scholar 

  16. Tukker, A., van Halen, C.: Innovation Scan for Product Service Systems. PriceWaterhouseCoopers, London (2004)

    Google Scholar 

  17. Lapierre, J.: What does value mean in business-to-business professional services? Int. J. Serv. Ind. Manag. 8(5), 377–397 (1997)

    Article  Google Scholar 

  18. Vargo, S.L., Lusch, R.F.: Evolving to a new dominant logic in marketing. J. Mark. 68, 1–17 (2004)

    Article  Google Scholar 

  19. Kaplan, S.: The Business Model Innovation Factory: How to Stay Relevant When The World is Changing. Wiley, Hoboken (2012)

    Book  Google Scholar 

  20. Johnson, M.W., Christensen, C.M., Kagermann, H.: Reinventing your business model. Harvard Bus. Rev. 86(12), 50–60 (2008)

    Google Scholar 

  21. Neu, W., Brown, S.: Forming successful business-to business services in goods-dominant firms. J. Serv. Res. 8(1), 3–17 (2005)

    Article  Google Scholar 

  22. Davies, A., Brady, T., Hobday, M.: Organizing for solutions: systems seller vs. systems integrator. Ind. Mark. Manag. 36, 183–193 (2007)

    Article  Google Scholar 

  23. Moe, C.: Six Steps to a Business-driven Analytics Strategy (2013). http://blogs.sas.com/content/hiddeninsights/2013/10/13/six-steps-to-a-business-driven-analytics-strategy/. Accessed 9 November 2014

  24. Gough, C.: Capitalizing on the Power of Big Data for Healthcare; 5 Steps to Get Started (2013). http://communities.intel.com/community/itpeernetwork/healthcare/blog/2013/12/11/capitalizing-on-the-power-of-big-data-for-healthcare-5-steps-to-get-started?wapkw=identify+gaps+between+current+and+future-state+capabilities. Accessed 3 November 2014

  25. Phillips, J.: Building a Digital Analytics Organization: Create Value by Integrating Analytical Processes, Technology, and People into Business Operations. Pearson, Upper Saddle River (2013)

    Google Scholar 

Download references

Acknowledgements

I would like to express my gratitude and appreciation for Professor Lorna Uden from Staffordshire University. She has made a significant contribution to the completion of this research paper regarding to the development of PDAS model.

Author information

Authors and Affiliations

  1. Seinäjoki University of Applied Sciences, Seinäjoki, Finland

    Anne-Maria Aho

Authors
  1. Anne-Maria Aho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anne-Maria Aho .

Editor information

Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, United Kingdom

    Lorna Uden

  2. University of Maribor, Maribor, Slovenia

    Marjan Heričko

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Aho, AM. (2015). Product Data Analytics Service Model for Manufacturing Company. In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21009-4_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21008-7

  • Online ISBN: 978-3-319-21009-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation