The Palgrave Encyclopedia of Strategic Management

Living Edition
| Editors: Mie Augier, David J. Teece

Technology Adoption

Living reference work entry
DOI: https://doi.org/10.1057/978-1-349-94848-2_379-1

Abstract

Using examples from information technology adoption, we emphasize the role of costs, benefits, communications channels and dynamic considerations in the decision to adopt new technology. We discuss differences between adoption by consumers and adoption by firms. We emphasize the adoption of business process innovations, which alter organizational practices and often involve the post-adoption invention of complementary business processes and adaptations. Within the context of business adoption, we discuss the inherent challenges in identifying the decision maker and the role of competition in influencing the benefits to adoption.

Keywords

Business Process Technology Adoption Electronic Commerce Adoption Decision Dynamic Consideration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Astebro, T. 2002. Noncapital investment costs and the adoption of CAD and CNC in U.S. metalworking industries. RAND Journal of Economics 33: 672–688.CrossRefGoogle Scholar
  2. Astebro, T. 2004. Sunk costs and the depth and probability of technology adoption. Journal of Industrial Economics 52: 381–399.CrossRefGoogle Scholar
  3. Baker, G., and T.N. Hubbard. 2003. Make versus buy in trucking: Asset ownership, job design, and information. American Economic Review 93: 551–572.CrossRefGoogle Scholar
  4. Baker, G., and T.N. Hubbard. 2004. Contractibility and asset ownership: On-board computers and governance in US trucking. Quarterly Journal of Economics 119: 1443–1480.CrossRefGoogle Scholar
  5. Bloom N, Garicano L, Sadun R, Van Reenen J. 2011. The distinct effects of information technology and communication technology on firm organization. Working paper, Stanford University.Google Scholar
  6. Bresnahan, T. and Greenstein, S. 1996. Technical progress and co-invention in computing and in the use of computers. Brookings Papers on Economic Activity: Microeconomics 1–78.Google Scholar
  7. Bresnahan, T.F., E. Brynjolfsson, and L.M. Hitt. 2002. Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. Quarterly Journal of Economics 117: 339–376.CrossRefGoogle Scholar
  8. David, P. A. 1969. A contribution to the theory of diffusion. Memorandum No. 71, Stanford Center for Research in Economic Growth, Stanford University.Google Scholar
  9. Forman, C. 2005. The corporate digital divide: Determinants of internet adoption. Management Science 51: 641–654.CrossRefGoogle Scholar
  10. Forman, C., and A. Goldfarb. 2006. Diffusion of information and communications technology to business. In Handbooks in information systems, Economics and Information Systems, vol. 1, ed. T. Hendershott. Amsterdam: Elsevier.Google Scholar
  11. Forman, C., A. Goldfarb, and S. Greenstein. 2003a. Which industries use the internet? In Organizing the new industrial economy, ed. M. Baye. Amsterdam: Elsevier.Google Scholar
  12. Forman, C., A. Goldfarb, and S. Greenstein. 2003b. The geographic dispersion of commercial internet use. In Rethinking rights and regulations: Institutional responses to new communications technologies, ed. L. Cranor and S. Wildman. Cambridge, MA: The MIT Press.Google Scholar
  13. Forman, C., A. Goldfarb, and S. Greenstein. 2005. How did location affect adoption of the internet by commercial establishments? Urban density versus global village. Journal of Urban Economics 58: 389–420.CrossRefGoogle Scholar
  14. Forman, C., A. Goldfarb, and S. Greenstein. 2008. Understanding inputs into innovation: Do cities substitute for internal firm resources? Journal of Economics and Management Strategy 17: 295–316.CrossRefGoogle Scholar
  15. Forman, C., A. Goldfarb, and S. Greenstein. 2012. The internet and local wages: A puzzle. American Economic Review 102: 556–575.CrossRefGoogle Scholar
  16. Goldfarb, A. 2006. The (teaching) role of universities in the diffusion of the internet. International Journal of Industrial Organization 24: 203–225.CrossRefGoogle Scholar
  17. Goldfarb, A., and J. Prince. 2008. Internet adoption and usage patterns are different: Implications for the digital divide. Information Economics and Policy 20: 2–15.CrossRefGoogle Scholar
  18. Goolsbee, A., and P. Klenow. 2002. Evidence on learning and network externalities in the diffusion of home computers. Journal of Law and Economics 45: 317–344.CrossRefGoogle Scholar
  19. Hubbard, T. 2000. The demand for monitoring technologies: The case of trucking. Quarterly Journal of Economics 115: 533–560.CrossRefGoogle Scholar
  20. Hubbard, T. 2003. Information, decisions, and productivity: On-board computers and capacity utilization in trucking. American Economic Review 93: 1328–1353.CrossRefGoogle Scholar
  21. McElheran, K. 2012. Do market leaders lead in business process adoption? Customers and co-invention in e-business adoption. Working paper, Harvard Business School.Google Scholar
  22. Prince, J. 2008. Repeat purchase amid rapid quality improvement: Structural estimation of demand for personal computers. Journal of Economics and Management Strategy 17: 1–33.CrossRefGoogle Scholar
  23. Rogers, E. 1995. The diffusion of innovations, 4th ed. New York: Free Press.Google Scholar
  24. Stoneman, P. 2002. The economics of technological diffusion. Oxford: Blackwell.Google Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  1. 1.Georgia Institute of TechnologyAtlantaUSA
  2. 2.Rotman School of ManagementTorontoCanada
  3. 3.Northwestern UniversityEvanstonUSA