[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Digital Business Model Patterns of Big Pharmaceutical Companies - A Cluster Analysis

  • Conference paper
  • First Online:
Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2019)

Abstract

Digital technologies are changing numerous industries in a very short time, especially the healthcare sector. Many established companies want to become digital themselves. Our paper gives a brief overview of patterns of digital business model observed in the big pharmaceutical companies. The patterns vary in the degree of digitalization of the products and services, the value creating activities that can be in collaboration with technology firms or even competitors and the target of the product with regard to main milestones of the patient’s medical journey. The results of the study are not limited to big pharmaceutical companies. The authors recommend the application of the results to other types of companies in the pharmaceutical industry and in other industries.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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

Similar content being viewed by others

Change history

  • 23 October 2019

    In the originally published version of this chapter, the name of the fourth author Herwig Winkler was incorrect. The name of the author has been corrected.

References

  1. Gassmann, O., Frankenberger, K., Sauer, R.: Exploring the Field of Business Model Innovation: New Theoretical Perspectives. Palgrave Pivot. Palgrave Macmillan, Cham (2016)

    Book  Google Scholar 

  2. Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, Hoboken (2010)

    Google Scholar 

  3. Abdelkafi, N., Makhotin, S., Posselt, T.: Business model innovations for electric mobility: what can be learned from existing business model patterns? Int. J. Innov. Manag. 17(01), 1340003 (2013). https://doi.org/10.1142/s1363919613400033

    Article  Google Scholar 

  4. Remane, G., Hanelt, A., Tesch, J.F., et al.: The business model pattern database—: a tool for systematic business model innovation. Int. J. Innov. Manag. 21(01), 1750004 (2017). https://doi.org/10.1142/s1363919617500049. (61 Pages)

    Article  Google Scholar 

  5. Gassmann, O., Frankenberger, K., Csik, M.: The Business Model Navigator: 55 Models that Will Revolutionise Your Business. Pearson, Harlow (2014)

    Google Scholar 

  6. Sprenger, M., Mettler, T.: On the utility of e-health business model design patterns. In: 24th European Conference on Information Systems (ECIS) 2016. Bogaziçi University, Istanbul, Turkey, pp. 1–16 (2016)

    Google Scholar 

  7. Sprenger, M.: Supporting the viability of e-health services with pattern-based business model design. In: Li, H., Nykänen, P., Suomi, R., Wickramasinghe, N., Widén, G., Zhan, M. (eds.) WIS 2016. CCIS, vol. 636, pp. 161–175. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44672-1_14

    Chapter  Google Scholar 

  8. Foss, N.J., Saebi, T.: Fifteen years of research on business model innovation. JOM 43(1), 200–227 (2017). https://doi.org/10.1177/0149206316675927

    Article  Google Scholar 

  9. Bohnsack, R., Pinkse, J., Kolk, A.: Business models for sustainable technologies: exploring business model evolution in the case of electric vehicles. Res. Policy 43(2), 284–300 (2014). https://doi.org/10.1016/j.respol.2013.10.014

    Article  Google Scholar 

  10. Mehralian, G., Rajabzadeh Gatari, A., Morakabati, M., et al.: Developing a suitable model for supplier selection based on supply chain risks: an empirical study from Iranian pharmaceutical companies. Iran J. Pharm. Res. 11(1), 209–219 (2012)

    Google Scholar 

  11. Sabatier, V., Mangematin, V., Rousselle, T.: From recipe to dinner: business model portfolios in the European biopharmaceutical industry. Long Range Plan. 43(2–3), 431–447 (2010). https://doi.org/10.1016/j.lrp.2010.02.001

    Article  Google Scholar 

  12. Chalkidou, K., Tunis, S., Lopert, R., et al.: Comparative effectiveness research and evidence-based health policy: experience from four countries. Milbank Q. 87(2), 339–367 (2009). https://doi.org/10.1111/j.1468-0009.2009.00560.x

    Article  Google Scholar 

  13. Gassmann, O., Reepmeyer, G., Zedtwitz, M.: Leading pharmaceutical innovation: trends and drivers for growth in the pharmaceutical industry, 2nd edn. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-77636-9

    Book  Google Scholar 

  14. Schuhmacher, A., Gassmann, O., Hinder, M.: Changing R&D models in research-based pharmaceutical companies. J. Transl. Med. 14(1), 105 (2016). https://doi.org/10.1186/s12967-016-0838-4

    Article  Google Scholar 

  15. Lee, M., Ly, H., Möller, C.C., et al.: Innovation in regulatory science is meeting evolution of clinical evidence generation. Clin. Pharmacol. Ther. 105, 886–898 (2019). https://doi.org/10.1002/cpt.1354

    Article  Google Scholar 

  16. Pinto, M.D., Greenblatt, A.M., Hickman, R.L., et al.: Assessing the critical parameters of eSMART-MH: a promising avatar-based digital therapeutic intervention to reduce depressive symptoms. Perspect. Psychiatr. Care 52(3), 157–168 (2016). https://doi.org/10.1111/ppc.12112

    Article  Google Scholar 

  17. Sverdlov, O., van Dam, J., Hannesdottir, K., et al.: Digital therapeutics: an integral component of digital innovation in drug development. Clin. Pharmacol. Ther. 104(1), 72–80 (2018)

    Article  Google Scholar 

  18. Inc A HealthKit - Apple Developer. https://developer.apple.com/healthkit/. Accessed 15 Feb 2019

  19. Rodarte, C.: Pharmaceutical perspective: how digital biomarkers and contextual data will enable therapeutic environments. Digit Biomark. 1, 73–81 (2017). https://doi.org/10.1159/000479951

    Article  Google Scholar 

  20. Smith, B., Sverdlov, A.: Digital technology: the future is bright. Clin. Pharmacol. Ther. 104(1), 9–11 (2018)

    Article  Google Scholar 

  21. Robert Wood Johnson Foundation: Assessment Report (2013). https://www.rwjf.org/en/library/research/2013/12/2013-assessment-report.html. Accessed 15 Feb 2019

  22. Ernst & Young Global Limited: How to manage disruptions to gain competitive advantage (2017). https://www.ey.com/en_gl/life-sciences/how-to-manage-disruptions-to-gain-competitive-advantage. Accessed 15 Feb 2019

  23. Koen, P.A., Bertels, H.M.J., Elsum, I.R.: The three faces of business model innovation: challenges for established firms. Res. Technol. Manag. 54(3), 52–59 (2011). https://doi.org/10.5437/08953608x5403009

    Article  Google Scholar 

  24. Chesbrough, H.: Business model innovation: opportunities and barriers. Long Range Plan. 43(2–3), 354–363 (2010). https://doi.org/10.1016/j.lrp.2009.07.010

    Article  Google Scholar 

  25. Chesbrough, H., Rosenbloom, R.S.: The role of business model in capturing value from innovation: evidence from Xerox Corporation’s technology spinn-off companies, 11(3), 529–555 (2002)

    Google Scholar 

  26. Magretta, J.: Why business models Matter. Harv. Bus. Rev. 80(5), 86–92 (2002)

    Google Scholar 

  27. Osterwalder, A., Pigneur, Y., Tucci, C.L.: Clarifying business models: origins, present, and future of the concept. Commun. Assoc. Inf. Syst. (15), 1–43 (2005)

    Google Scholar 

  28. Shafer, S.M., Smith, H.J., Linder, J.C.: The power of business models. Bus. Horiz. 48(3), 199–207 (2005). https://doi.org/10.1016/j.bushor.2004.10.014

    Article  Google Scholar 

  29. Schallmo, D., Brecht, L.: Business model innovation in business-to-business markets -: procedure and examples. Paper presented at the 3rd ISPIM Innovation Symposium: “Managing the Art of Innovation: Turning Concepts into Reality”, Quebec City, Canada (2010)

    Google Scholar 

  30. Spieth, P., Schneckenberg, D., Ricart, J.E.: Business model innovation - state of the art and future challenges for the field. R&D Manag. 44(3), 237–247 (2014). https://doi.org/10.1111/radm.12071

    Article  Google Scholar 

  31. Morris, M.H., Shirokova, G., Shatalov, A.: The business model and firm performance: the case of russian food service ventures. JSBM 51(1), 46–65 (2013)

    Google Scholar 

  32. Wikipedia: List of largest pharmaceutical companies by revenue – Wikipedia (2019). https://en.wikipedia.org/w/index.php?oldid=883348703. Accessed 14 Feb 2019

  33. Top 50 Global Pharma Companies - 2018 (Pharmaceutical Executive)—Ranking The Brands. https://www.rankingthebrands.com/The-Brand-Rankings.aspx?rankingID=370. Accessed 14 Feb 2019

  34. Health Care Companies. https://www.nasdaq.com/screening/companies-by-industry.aspx?industry=Health+Care. Accessed 14 Feb 2019

  35. Bryman, A., Bell, E.: Business Research Methods, 3rd edn. Oxford University Press, Oxford (2011)

    Google Scholar 

  36. Hsieh, H.-F., Shannon, S.E.: Three approaches to qualitative content analysis. Qual. Health Res. 15(9), 1277–1288 (2005). https://doi.org/10.1177/1049732305276687

    Article  Google Scholar 

  37. Camisón, C., Villar-López, A.: Business models in Spanish industry: a taxonomy-based efficacy analysis. M@n@gement 13(4), 298 (2010). https://doi.org/10.3917/mana.134.0298

    Article  Google Scholar 

  38. Communications BAG FDA grants breakthrough device designation to artificial intelligence software for CTEPH pattern recognition from Bayer and MSD - Bayer News. https://media.bayer.com/baynews/baynews.nsf/id/FDA-grants-breakthrough-device-designation-artificial-intelligence-software-CTEPH-pattern. Accessed 14 Feb 2019

  39. ORILISSA™ (elagolix) 150 mg or 200 mg Tablets (2019). https://www.orilissa.com/about/what-is-orilissa. Accessed 15 Feb 2019

  40. Mobihealthnews: FDA’s new draft guidance could hinder applications for digital combination products (2019). https://www.mobihealthnews.com/content/fdas-new-draft-guidance-could-hinder-applications-digital-combination-products. Accessed 15 Feb 2019

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cyrine Tangour .

Editor information

Editors and Affiliations

Appendices

Appendix 1

Fig. 1.
figure 1

Dendrogram of a cluster analysis of 53 digital business models of pharmaceutical products from nine top pharmaceutical companies.

Appendix 2

Table 3. Descriptive table of the clusters including firms and products names

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tangour, C., Gebauer, M., Fischer, L., Winkler, H. (2019). Digital Business Model Patterns of Big Pharmaceutical Companies - A Cluster Analysis. In: Jallouli, R., Bach Tobji, M., Bélisle, D., Mellouli, S., Abdallah, F., Osman, I. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2019. Lecture Notes in Business Information Processing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-30874-2_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-30874-2_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30873-5

  • Online ISBN: 978-3-030-30874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics