IS

Yap, C. S.

Topic Weight Topic Terms
0.200 countries global developing technology international country developed national economic policy domestic study foreign globalization world
0.120 innovation innovations innovative organizing technological vision disruptive crowdsourcing path implemented explain base opportunities study diversity
0.108 e-government collective sociomaterial material institutions actors practice particular organizational routines practices relations mindfulness different analysis

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.

Gurbaxani, Vijay 1 King, John Leslie 1 Kraemer, Kenneth L. 1 McFarlan, F. Warren 1
Raman, K. S. 1
Information Technology 1 Innovation 1 Institutions 1

Articles (1)

Institutional Factors in Information Technology Innovation. (Information Systems Research, 1994)
Authors: Abstract:
    Innovation in information technology is well established in developed nations; newly industrializing and developing nations have been creating governmental interventions to accelerate IT innovation within their borders. The lack of coherent policy advice for creating government policy for IT innovation signals a shortfall in research understanding of the role of government institutions, and institutions more broadly, in IT innovation. This paper makes three points. First, long-established intellectual perspectives on innovation from neoclassical economics and organization theory are inadequate to explain the dynamics of actual innovative change in the IT domain. A broader view adopted from economic history and the new institutionalism in sociology provides a stronger base for understanding the role of institutions in IT innovation. Second, institutional intervention in IT innovation can be constructed at the intersection of the influence and regulatory powers of institutions and the ideologies of supply-push and demand-pull models of innovation. Examples of such analysis are provided. Third, institutional policy formation regarding IT innovation is facilitated by an understanding of the multifaceted role of institutions in the innovative process, and on the contingencies governing any given institution/innovation mix.