Expert systems diffusion in British banking: Diffusion models and media factor

A study of 20 British banking organizations was carried out to test the applicability of some innovation diffusion models on the adoption of expert systems (ES) in industry. Secondary data, postal questionnaires, and in-depth telephone and field interviews with IT directors or leaders of knowledge-based teams were used. The study determined, within this setting, that: ES diffusion is best described by a mixed-influence model, ES adoptions are positively associated with media coverage in a lagged-mode, and that larger organizations adopt ES earlier than smaller firms, but that the Pareto distribution was rejected.

[1]  Daniel E. O'Leary,et al.  The organizational impact of expert systems , 1987 .

[2]  M. N. Sharif,et al.  Polynomial innovation diffusion models , 1982 .

[3]  E. Rogers,et al.  Communication of Innovations; A Cross-Cultural Approach. , 1974 .

[4]  Hock-Hai Teo,et al.  Innovation Diffusion Theory as a Predictor of Adoption Intention for Financial EDI , 1995, ICIS.

[5]  Dimitris N. Chorafas,et al.  Expert systems in banking , 1991 .

[6]  Tor Guimaraes,et al.  Factors important to expert systems success a field test , 1996, Inf. Manag..

[7]  Heng Li.  Case-based reasoning for intelligent support of construction negotiation , 1996, Inf. Manag..

[8]  Y. Shao,et al.  The infusion of expert systems in banking: An exploratory study , 1997 .

[9]  Pamela K. Coats.  A banker's use of simulation and artificial intelligence for assessing the economics of electronic money networks , 1989 .

[10]  Anand S. Kunnathur,et al.  Expert systems adoption. An analytical study of managerial issues and concerns , 1996, Inf. Manag..

[11]  Robert A. Peterson,et al.  Models for innovation diffusion , 1985 .

[12]  Sree Nilakanta,et al.  Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective , 1994, J. Manag. Inf. Syst..

[13]  Terry Anthony Byrd,et al.  Implementation and Use of Expert Systems in Organizations: Perceptions of Knowledge Engineers , 1992, J. Manag. Inf. Syst..

[14]  Lawrence A. Brown,et al.  Innovation Diffusion: A New Perspective , 1982 .

[15]  Kim Merchant,et al.  Expert systems: A survey of their use in UK business , 1996, Inf. Manag..

[16]  Kathleen Foley Curley,et al.  The strategic use of expert systems for risk management in the insurance industry , 1992 .

[17]  Edwin Mansfield,et al.  Industrial Research and Technological Innovation: An Econometric Analysis , 1968 .

[18]  E. Malecki,et al.  Firms and Innovation Diffusion: Examples from Banking , 1977 .

[19]  K. Ramamurthy,et al.  Determinants and outcomes of electronic data interchange diffusion , 1995 .

[20]  G. Hartvigsen.  Limitations of knowledge-based systems for financial analysis in banking , 1992 .

[21]  Richard W. Scamell,et al.  The effect of information sources and communication channels on the diffusion of innovation in a data base development environment , 1990 .

[22]  Robert W. Zmud,et al.  The Effectiveness of External Information Channels in Facilitating Innovation Within Software Development Groups , 1983, MIS Q..