Architectural Lock-in of the Drug Development Process
The theory of technological evolution and organizational lock-in are based on an empirical foundation where technology is manifested in a tangible product. However, in industries producing chemicals, services, art, health care, or complex product systems, the technological design of the product has limit explanatory power for understanding technological evolution. Anchored in a case study from the pharmaceutical industry, this paper addresses the significance of the technologies and architecture of the R&D process in order to understand dynamics of innovation and technological evolution in such industries. The case shows how the technology and design of the process architecture shape the content of pharmaceutical R&D, enabling and hindering necessary knowledge creation for product innovation.
|Date of creation:||08 Apr 2014|
|Date of revision:|
|Contact details of provider:|| Postal: Department of Industrial Economics and Management, Royal Institute of Technology, SE-100 44 Stockholm, Sweden|
Phone: 08-790 78 61
Fax: 08-790 76 17
Web page: http://www.kth.se/en/itm/inst/indek
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-37, May.
- Hobday, Mike, 1998. "Product complexity, innovation and industrial organisation," Research Policy, Elsevier, vol. 26(6), pages 689-710, February.
- Horvath, Michael & Schivardi, Fabiano & Woywode, Michael, 2001. "On industry life-cycles: delay, entry, and shakeout in beer brewing," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1023-1052, July.
- Dosi, Giovanni, 1993.
"Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change,"
Elsevier, vol. 22(2), pages 102-103, April.
- Dosi, Giovanni, 1982. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 11(3), pages 147-162, June.
- Leonhard Dobusch & Elke Schüßler, 2013. "Theorizing path dependence: a review of positive feedback mechanisms in technology markets, regional clusters, and organizations," Industrial and Corporate Change, Oxford University Press, vol. 22(3), pages 617-647, June.
- Nightingale, Paul, 2000. "Economies of Scale in Experimentation: Knowledge and Technology in Pharmaceutical R&D," Industrial and Corporate Change, Oxford University Press, vol. 9(2), pages 315-59, June.
- DiMasi, Joseph A. & Hansen, Ronald W. & Grabowski, Henry G., 2003. "The price of innovation: new estimates of drug development costs," Journal of Health Economics, Elsevier, vol. 22(2), pages 151-185, March.
- Fixson, Sebastian K. & Park, Jin-Kyu, 2008. "The power of integrality: Linkages between product architecture, innovation, and industry structure," Research Policy, Elsevier, vol. 37(8), pages 1296-1316, September.
- Cappetta, Rossella & Cillo, Paola & Ponti, Anna, 2006. "Convergent designs in fine fashion: An evolutionary model for stylistic innovation," Research Policy, Elsevier, vol. 35(9), pages 1273-1290, November.
- Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-31, March.
When requesting a correction, please mention this item's handle: RePEc:hhs:kthind:2014_004. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vardan Hovsepyan)
If references are entirely missing, you can add them using this form.