Measuring organisational readiness prior to IT/IS investment

The high percentage of IT/IS projects failure has led to a wide investigation efforts.Several studies have revealed that new or indeed major changes in IT/IS projects areaffecting people, processes, organisational structures and current IT infrastructure.The hardest thing when dealing with such issues lies in changing people and businessprocesses which are better known as 'soft issue'. The resistance to change mightoccurred due to lack of creating a sense of need and urgency for change among theemployee and consequently might lead to the IT/IS project failure. The inability toassess organisational readiness to successfully embrace new systems into their workenvironments may result in wasting time and resources by dealing with the resistanceto change or even worse may lead to IT/IS failure.The majority of current IT/IS evaluation approaches are mainly a product oriented andpost-investment measures which don't address organisational readiness prior to IT/ISinvestment. This PhD study has developed a holistic model to measure the capabilityorganisations to 'successfully' implement IT by measuring their readiness status toimplement new IT/IS systems, prior to IT/IS investment. The model is capable ofassessing; a) the organisational current readiness status in terms of four mainelements; people, process, work environment and IT infrastructure, and b) the targetreadiness status which is required for a successful implementation of a particularIS/IT project. The idea is to provide managers with measurement tools to enable themto identify where improvements are required within their organisations prior to IT/ISinvestment. It is anticipate that this model will significantly contribute to the IT/ISfield by adding a new dimension to IT/IS evaluation which will shift the focustowards the "soft issues" (organisational factors) rather than the systems themselves.Three organisations were participated in the validation process of this model andsubsequently a set of questionnaire has been sent to the 250 organisations within theconstruction sector to measure the statistical influence of different components of themodel.

Level dc:type.qualificationlevel

Doctoral (Level 8)

Year dc:date.issued

2007

Author dc:creator

• Salleh, H

Language dc:language

en

Identifier

oai:salford-repository.worktribe.com:1336966

OAI identifier oai:identifier

oai:salford-repository.worktribe.com:1336966