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Trialability, observability and risk reduction accelerating individual innovation adoption decisions


Hayes, KJ and Eljiz, K and Dadich, A and Fitzgerald, JA and Sloan, T, Trialability, observability and risk reduction accelerating individual innovation adoption decisions, Journal of Health Organization and Management, 29, (2) pp. 271-294. ISSN 1477-7266 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Emerald Group Publishing Limited

DOI: doi:10.1108/JHOM-08-2013-0171


Purpose – The purpose of this paper is to provide a retrospective analysis of computer simulation’s role in accelerating individual innovation adoption decisions. The process innovation examined is Lean Systems Thinking, and the organizational context is the imaging department of an Australian public hospital. Design/methodology/approach – Intrinsic case study methods including observation, interviews with radiology and emergency personnel about scheduling procedures, mapping patient appointment processes and document analysis were used over three years and then complemented with retrospective interviews with key hospital staff. The multiple data sources and methods were combined in a pragmatic and reflexive manner to explore an extreme case that provides potential to act as an instructive template for effective change. Findings – Computer simulation of process change ideas offered by staff to improve patient-flow accelerated the adoption of the process changes, largely because animated computer simulation permitted experimentation (trialability), provided observable predictions of change results (observability) and minimized perceived risk. Research limitations/implications – The difficulty of making accurate comparisons between time periods in a health care setting is acknowledged. Practical implications – This work has implications for policy, practice and theory, particularly for inducing the rapid diffusion of process innovations to address challenges facing health service organizations and national health systems.

Item Details

Item Type:Refereed Article
Research Division:Commerce, Management, Tourism and Services
Research Group:Strategy, management and organisational behaviour
Research Field:Organisational planning and management
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Evaluation of health and support services not elsewhere classified
UTAS Author:Eljiz, K (Dr Kathy Eljiz)
ID Code:100962
Year Published:2015
Web of Science® Times Cited:13
Deposited By:Faculty of Business
Deposited On:2015-06-04
Last Modified:2021-07-06

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