Huang, C (2005) The development of an integrated paradigm and a decision support framework for IT innovation adoption. Unpublished PhD thesis, University of Reading, UK.
Abstract
This research presents the development of an integrated Technology-Process-Culture (TPC) paradigm for managing IT innovation adoption within the Architecture /Engineering/Construction (AEC) sector. Current research theories that explain innovation adoption are tested and refined to develop a new paradigm. The TPC paradigm answers the research questions: What drives an organisation to adopt an IT innovation at the initiation phase? From what perspectives should organisations evaluate the IT innovation they intend to adopt? What criteria should organisations use to select the IT innovation? It indicates that adoption and implementation of IT innovation are determined by the explanatory variables from the Technology, Process, and Culture perspectives. A questionnaire survey is used to test the hypotheses of the TPC paradigm and to develop the Pool of Explanatory Variables. Central to the IT innovation adoption is the decision-making. Current decision methods are fragmented, and limited in their perspective and their ability to consider the interdependencies between criteria. The Analytic Network Process (ANP) technique is applied under the TPC paradigm to establish a holistic decision support framework. The TPC paradigm structures the IT adoption decision-making problem and provides the criteria and their measures. The decision theory ANP is employed in the TPC paradigm to analyse the dependence between selection criteria and to synthesise the results. By employing the framework, the value of adopting an IT innovation can be quantified from a holistic perspective with an integrated analysis of its benefits, costs, and risks. Two major empirical case studies demonstrate the validity and applicability of the proposed paradigm and framework. The research breaks new ground in the study of IT innovation adoption. The new paradigm and the decision support framework are original approaches that can help AEC firms to set up a consistent evaluation process and method for managing IT innovation adoption.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | culture; decision support; decision theory; innovation; selection criteria; case study; questionnaire survey |
| Index terms: | paradigm, selection criteria, implementation, analytic network process, case study, innovation adoption, validity, questionnaire, decision-making, decision theory, decision support, survey |
| Subjects: | innovation studies, evaluation and assessment methods, data collection methods, contractual arrangements, tendering, education and knowledge transfer, decision-making and optimization, decision analysis |
| Topics: | Procurement, Risk Management, Research Practice, Business Strategy |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here