IS

Gebelt, Mary

Research Interests (4)

List of Topics (4)

Topic Weight Topic Terms
0.297 model research data results study using theoretical influence findings theory support implications test collected tested
0.255 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting
0.125 systems information management development presented function article discussed model personnel general organization described presents finally
0.125 outsourcing transaction cost partnership information economics relationships outsource large-scale contracts specificity perspective decisions long-term develop

Coauthor Network

■ Focal Researcher     ■ Coauthors of Focal Researcher (1st degree)     ■ Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

List of Coauthors (2)

Hu, Qing 1 Saunders, Carol 1

Article Keywords (2)

Information System Outsourcing 1 Innovation Diffusion 1

Articles (1)

Research Report: Diffusion of Information Systems Outsourcing: A Reevaluation of Influence Sources. (Information Systems Research, 1997)
Authors: Abstract:
    Information systems outsourcing is an increasingly popular IS management practice in companies of all sizes. Examining the adoption of IS outsourcing from the well-developed theoretical foundation of innovation diffusion may shed some light on significant factors that affect the adoption decision, and clarify some misperceptions. This study explores the sources of influence in the adoption of IS outsourcing. Using a sample of 175 firms that outsourced their IS functions during the period from January 1985 to January 1995, we tested three hypotheses of sources of influences using four diffusion models: internal influence, external influence, and two mixed influence models. Our findings suggest that the mixed influence is the dominant influence factor in the diffusion of IS outsourcing, and that there is no evidence of the "Kodak effect" in the IS diffusion process. This directly contradicts the conclusions of the Loh and Venkatraman (1992) study. Further discussions are provided about the potential problems in studies of influence sources of IT innovation diffusion.