Costello, Gabriel J. and Donnellan, Brian (2007) The diffusion of WOZ: expanding the topology of IS innovations. Journal of Information Technology, 22 (1). pp. 79-86. ISSN 1466-4437

Preview

Download (655kB) | Preview

Abstract

The growth and diffusion of self-service technology (SST) over the last decade has resulted in an increasing number of business and government transactions being completed without human assistance. One innovation in this area, the speech-enabled business system, is characterised by complex implementations that bring together language-processing technologies, applications development, and end-user psychology. A resulting secondary innovation, the Wizard-of-OZ (WOZ) experiment is a valuable technique for simulating and building human–machine prototypes to ensure successful deployment of the completed service. The objective of the paper is to examine these innovations in relation to the changing business landscape; the technology and innovation literature, and the population of likely adopters. The review is carried out by placing the authors’ former experience as practitioners within current theoretical research frameworks. The result is a number of suggestions relating to both IT technology research and IT innovation research. Firstly, it proposes the simplification and diffusion of the WOZ methodology to support the growth in demand for automated e-business transactions that is mindful of human and ethical challenges. Secondly, the paper argues that because SST and business extends the traditional boundaries of the customer service function, it now needs to be incorporated into Swanson's tri-core innovation typology. The paper concludes by presenting the suggested reorientation of information systems research that incorporates an outward facing perceptive as a conceptual model.

Item Type:	Article
Additional Information:	Cite as: Costello, G. & Donnellan, B. J Inf Technol (2007) 22: 79. https://doi.org/10.1057/palgrave.jit.2000085
Keywords:	Wizard-of-OZ (WOZ) experiments; self-service technology (SST) automatic speech recognition (ASR); innovation typology; diffusion of innovations, information technology adoption;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	10808
Identification Number:	https://doi.org/10.1057/palgrave.jit.2000085
Depositing User:	Prof. Brian Donnellan
Date Deposited:	23 May 2019 13:52
Journal or Publication Title:	Journal of Information Technology
Publisher:	Palgrave Macmillan
Refereed:	Yes
URI:	https://doi.org/10.1057/palgrave.jit.200...
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads