Stockbroking firms have openly adopted information and communication technology to improve their competitiveness and responsiveness in market conditions. Changes in business practices have resulted from the widespread adoption and diffusion of information and communication technology. Changes experienced by a firm can be viewed as a process of individual adaptations running parallel to the evolution of the business environment. To examine the diffusion of information and communication technology an ecological approach is used. This paper therefore develops a conceptual framework to explore the ICT diffusion in the stockbroking industry in the context of environmental evolution and selection. It is argued that the acceptance of an innovation is affected as much by the complexity of the interactions between the stockbroking firms and technology. The proposed framework can be used to provide an ameliorated understanding about the way in which ICT‐enabled innovation is diffused within a technology‐oriented industry.
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1 December 2004
Research Article|
December 01 2004
Information and communication technology in the stockbroking industry: an evolutionary approach to the diffusion of innovation
Hosein Gharavi;
Hosein Gharavi
Working for e‐Business Research Centre, School of Management Information Systems, Edith Cowan University, Joondalup, Australia
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Peter E.D. Love;
Peter E.D. Love
Working for e‐Business Research Centre, School of Management Information Systems, Edith Cowan University, Joondalup, Australia
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Eddie W.L. Cheng
Eddie W.L. Cheng
Working for e‐Business Research Centre, School of Management Information Systems, Edith Cowan University, Joondalup, Australia
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© Emerald Group Publishing Limited
2004
Industrial Management & Data Systems (2004) 104 (9): 756–765.
Citation
Gharavi H, Love PE, Cheng EW (2004), "Information and communication technology in the stockbroking industry: an evolutionary approach to the diffusion of innovation". Industrial Management & Data Systems, Vol. 104 No. 9 pp. 756–765, doi: https://doi.org/10.1108/02635570410567748
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